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EFR<br />

<strong>ECONOMIC</strong> <strong>FORECASTING</strong> <strong>REVIEW</strong><br />

Volume 3 • Issue 2<br />

December 2009<br />

a publication of the Strategic Consulting Group of <strong>Parsons</strong> <strong>Brinckerhoff</strong><br />

Rosa Parks Transit Center


a publication of the Strategic Consulting Group of <strong>Parsons</strong> <strong>Brinckerhoff</strong><br />

Volume 3 • Issue 1<br />

May 2009<br />

California High-Speed Rail<br />

Vol. 3 • Issue 2<br />

Editor's Note<br />

Editor’s Note<br />

EFR is a publication of the Strategic Consulting Group of <strong>Parsons</strong> <strong>Brinckerhoff</strong>.<br />

It provides analysis and perspectives on topical issues that are germane to the<br />

transport infrastructure sector. In this, our seventh issue, the EFR is divided into<br />

two sections - Perspectives and Articles.<br />

Previous issues<br />

Volume 1<br />

Issue 1<br />

2006<br />

The Perspectives section includes articles by our columnists, who articulate their<br />

viewpoints on public policy, economics, cost escalation, and goods movement on<br />

a recurring basis. The content in this section is time sensitive, i.e. the viewpoints<br />

articulated in the articles are based on the best available information as of<br />

December 2009 and are subject to change with evolving market conditions. Mort<br />

Downey discusses future U.S. transportation funding legislation; Matt Nespoli<br />

examines the current U.S. economic conditions and provides a viewpoint on the<br />

future direction of the economy; Kumudu Gunasekera and Brad Ship evaluate the<br />

construction economy and present a five-year construction escalation forecast; and<br />

Scudder Smith discusses the implications of the economic recession on the future<br />

of container trade.<br />

Volume 1<br />

Issue 2<br />

2007<br />

In the Articles section, Steve Lockwood espouses the need for an organized<br />

sector-wide process to nurture the development of a technology transfer process;<br />

Wayne McDaniel discusses the emerging market opportunity for performance<br />

management services; Ira Hirschman analyzes the effects of fuel price on the U.S.<br />

freight rail industry; Howard Wood and Jeff Ensor share their recent experiences<br />

working with numerous agencies to submit TIGER grant applications; Stephen<br />

Kuhr and Brian Reed discuss ways to develop and implement strategies to fund<br />

regulatory-driven infrastructure improvements at a wastewater utility; Sonika<br />

Sethi provides a methodology for estimating impacts of transportation capacity<br />

expansion; Randy Ivory introduces iPMIS, an integrated project management<br />

information system develop by PB; and Jignesh Mehta discusses CarbonFIT,<br />

a sketch-planning tool that combines algorithms to estimate greenhouse gas<br />

emissions with the power of GIS to visualize and compare various scenarios.<br />

Volume 1<br />

Issue 3<br />

2007<br />

Volume 2<br />

Issue 1<br />

2008<br />

In upcoming issues, we will continue to provide analyses and forecasts of the<br />

current and future economic landscape and cover pressing topics with the rigor<br />

and efficacy you’ve come to expect from this publication.<br />

About Last Issue<br />

Kumudu Gunasekera, Ph.D.<br />

Editor<br />

Volume 2<br />

Issue 2<br />

2008<br />

EFR<br />

<strong>ECONOMIC</strong> <strong>FORECASTING</strong> <strong>REVIEW</strong><br />

Volume 3<br />

Issue 1<br />

2009<br />

This issue includes a broad set of articles on topics ranging<br />

from construction cost escalation, the stimulus bill,<br />

freight, risk management, alternative fuels, and regional<br />

economics to sustainability.<br />

To download:<br />

http://www.pbworld.com/news_<br />

events/publications/efr<br />

i


EFR Vol. 3 • Issue 2<br />

EFR Team<br />

Contents<br />

Editor:<br />

Dr. Kumudu Gunasekera<br />

Senior Advisor:<br />

Dr. Ira Hirschman<br />

Associate Editors:<br />

Rolando Amaya<br />

Nick Schmidt<br />

Editorial Assistance:<br />

Susan Lysaght<br />

Cover Design:<br />

John Winkel<br />

Review Panel:<br />

Brent Baker<br />

Dr. Yuval Cohen<br />

Judy Cooper<br />

David Earley<br />

Nellie Finnegan<br />

Scudder Smith<br />

Perspectives<br />

1 Transportation Funding Goes into<br />

Overtime<br />

Mort Downey<br />

3 U.S. Economic Performance and<br />

Outlook<br />

Matt Nespoli<br />

9 Construction Economic Review &<br />

Highway Cost Escalation Forecast<br />

Dr. Kumudu Gunasekera<br />

Brad Ship<br />

14 Is the U.S. Container Trade<br />

Recession Over?<br />

Scudder Smith<br />

Articles<br />

18 Technology Transfer for Future<br />

Surface Transportation<br />

Steve Lockwood<br />

25 Performance Management:<br />

Emerging Market Opportunity?<br />

Wayne McDaniel<br />

28 Fuel Prices and the U.S. Freight<br />

Rail Industry<br />

Dr. Ira Hirschman<br />

32 PB Assists TIGER Grant<br />

Applications<br />

Howard Wood<br />

Jeff Ensor<br />

Volume 3<br />

Issue 2<br />

December 2009<br />

EFR is a publication of the strategic<br />

consulting group of <strong>Parsons</strong><br />

<strong>Brinckerhoff</strong>, which is a wholly owned<br />

subsidiary of Balfour Beatty.<br />

36 An Innovative Billing System at a<br />

Wastewater Utility<br />

Stephen Kuhr<br />

Brian Reed<br />

40 Estimating Impacts of<br />

Transportation Capacity Expansion<br />

Sonika Sethi<br />

Please direct questions or comments to<br />

Kumudu Gunasekera, Ph.D.:<br />

gunasekera@pbworld.com<br />

202-661-5330<br />

7%<br />

6%<br />

5%<br />

4%<br />

3%<br />

2%<br />

1%<br />

0%<br />

Reauthorization and funding page 1<br />

2.5%<br />

3.75%<br />

4%<br />

6.5%<br />

5%<br />

2010 2011 2012 2013 2014<br />

44 Integrated Project Management<br />

Information Systems<br />

Randy Ivory<br />

48 Sustainable Scenario Planning<br />

with CarbonFIT<br />

Jignesh Mehta<br />

Highway construction cost forecast page 9<br />

U.S. container trade page 14<br />

Transportation technology transfer page 18<br />

ii


Vol. 3 • Issue 2<br />

Transportation Funding Goes into Overtime<br />

Transportation Funding Goes into Overtime<br />

Kevin Dooley<br />

by<br />

Mort Downey<br />

MOST observers of the transportation planning and<br />

development process will tell you that stability<br />

and predictability of funding is a critical element<br />

in a good outcome. But events in Washington are moving<br />

in exactly the opposite direction. While Federal funding is<br />

not the entire picture, it is the catalyst to the planning and<br />

programming process that drives other decisions—the use<br />

of state and local funds, issuances of bonds, development of<br />

public-private partnerships and the like. When this essential<br />

element is missing, the entire process can lock up.<br />

We experienced this phenomenon a few years ago, when the<br />

passage of the so-called SAFETEA-LU surface transportation<br />

bill was about two years late and required at least a dozen<br />

temporary extensions to put out incremental sums of money.<br />

We are seeing it now with aviation legislation, where the<br />

permanent program for airport grants has been operating<br />

on a temporary basis for more than two years with no end in<br />

sight.<br />

Our surface transportation programs—highways, transit,<br />

and safety—are now sliding down this slippery slope.<br />

SAFETEA-LU’s six-year authorizations expired on September<br />

30, 2009, but there’s only limited hope for a timely and<br />

complete successor. Congress has now put two extensions<br />

in place, first for a month and then for six weeks, promising<br />

that they will do another short-term extension before their<br />

holiday recess, taking the programs through February<br />

23rd. For technical reasons, the highway program is<br />

particularly starved, with the month-to-month allocations<br />

sized at about two-thirds of last year’s level. While transit<br />

funding has theoretically been extended, the Federal Transit<br />

Administration has not to date been willing to do partial<br />

distributions because these lead to multiple grants for the<br />

same projects.<br />

Were we doing business as usual, as was the case when<br />

SAFETEA-LU lagged, the impact would be serious but not<br />

fatal. But this is not a time for business as usual. President<br />

Obama and the Congress wisely included infrastructure<br />

investment as part of the recovery program designed to claw<br />

our way out of the deepest economic downturn since the<br />

Great Depression. That program has been a great success,<br />

with the U.S. Department of Transportation moving a<br />

combination of regular and recovery funding to the states<br />

during 2009 at a rate nearly twice the normal. But the<br />

recovery stimulus was meant to be incremental investment<br />

above the normal, converging back to normal as the recovery<br />

takes hold. Now we face the situation where a failure to<br />

authorize will turn the glide path of convergence into a cliff,<br />

with drastic economic consequences to the infrastructure<br />

industry.<br />

One could ask why the delay, given the general consensus<br />

that we need to do more reinvestment in our infrastructure.<br />

There’s a simple answer. We can’t arrive at any consensus<br />

on how to pay for what we need, and we would like to see<br />

reforms in the way our programs are delivered as part of the<br />

federal-state-local partnership. This need for funding based<br />

on reform was recognized when SAFETEA-LU was enacted.<br />

That bill chartered two national commissions to review and<br />

report on the issues of infrastructure policy and funding.<br />

Each of those commissions operated in a very professional<br />

way, collecting data, reaching out to stakeholders and<br />

1


EFR Vol. 3 • Issue 2<br />

crafting detailed proposals. Their two reports have been<br />

available for months, and they are generally in sync. There<br />

is a need for more investment if we are to maintain the<br />

condition and performance of our existing infrastructure.<br />

There are justifiable needs for new investment to bring the<br />

system into line with today’s geographic and economic<br />

realities. And there can be ways to pay for what we need, if<br />

the political will is there.<br />

We know that the current source of federal revenue, the fuel<br />

tax, has not performed well in recent years. It doesn’t track<br />

with inflation. It suffers when the national goals of energy<br />

conservation improve automobile fuel economy standards.<br />

And we see greater opportunities in the future to link our<br />

revenue system more closely to system performance through<br />

technologies like congestion charging and road pricing.<br />

The commission charged with specific review of financing<br />

concluded unanimously that a two-fold strategy was needed.<br />

Immediate fuel tax increases are needed to restore the<br />

purchasing power of our programs, while we focus on the<br />

research, development, and implementation steps for a new<br />

approach.<br />

Notwithstanding the logic of these positions, we are at a<br />

stalemate. The House Transportation and Infrastructure<br />

(T&I) Committee, under the leadership of Chairman Jim<br />

Oberstar (D-MN), focused like a laser on these needs and<br />

developed a proposal for a six-year bill priced at $450 billion<br />

for highways and transit, plus an allocation of $50 billion for<br />

the newly identified needs of high speed rail. This compares<br />

to the roughly $286 billion during the comparable six-year<br />

SAFETEA-LU period and would come much closer to the<br />

identified needs levels. The bill also includes numerous<br />

programmatic changes aimed at more effective program<br />

delivery.<br />

But the T&I Committee can only recommend what needs<br />

to happen. Before their bill can even be considered by the<br />

full House of Representatives, it must be coupled with a<br />

revenue proposal coming out of the House Ways and Means<br />

Committee, which has the sole jurisdiction over taxes. The<br />

tax language is needed even to continue the existing taxes<br />

and trust fund with the special budget status they enjoy.<br />

Enacting any new revenues to support an enhanced program<br />

will be a heavier political lift. The consensus of almost all<br />

parties involved in the debate is that no tax increases can be<br />

proposed during the current downturn, given the economic<br />

and political realities. So the Oberstar bill languishes in<br />

committee. The House assented to a single three-month<br />

extension at full funding levels, but this has not become law.<br />

has their own views on the policies and the politics. The<br />

new President, after a review of his options, offered the<br />

proposal for an eighteen-month extension, hoping that he<br />

and his Administration could gain time to put together a<br />

comprehensive policy proposal to be put forward at a time<br />

when the economic climate would allow consideration of<br />

new revenues.<br />

The Senate, where action is much more complex given<br />

the multiple committees involved in the bill, was initially<br />

willing to grant that extension, using a number of potentially<br />

questionable revenue devices to cover for the lack of taxes.<br />

Senate committee leadership at one point dropped back<br />

to the idea of a six-month extension to some point in 2010,<br />

without a clear picture of what happens next. They now seem<br />

to favor a one-year extension based on their revenue devices,<br />

and the House seems ready to accept that as part of a second<br />

jobs bill that will also provide for some new general funded<br />

grants like those in the first stimulus.<br />

What will emerge as a long-term solution, and when it<br />

happens, is unpredictable and surprises are bound to<br />

happen. The legislative agenda is crowded, with issues<br />

like health care and climate change taking precedence<br />

and consuming most available legislative time. But the<br />

implications for the economy will be recognized, and we<br />

can hope they will be drivers of action. If we want our<br />

transportation system to support a robust economy, we have<br />

to invest in its upkeep and develop coherent long-term plans<br />

for its improvement. •<br />

Author:<br />

Mort Downey has more than 50 years of<br />

distinguished public service, including eight years<br />

as the U.S. Deputy Secretary of Transportation.<br />

Most recently, Mort led President Obama’s<br />

Transition Team for U.S. DOT and served as<br />

senior advisor to Secretary LaHood during the<br />

Senate confirmation process. He is a senior<br />

advisor to PB, providing advisory services<br />

on federal legislation, policy development,<br />

infrastructure finance, and transportation market<br />

trends.<br />

M.A., New York University;<br />

B.A., Yale University<br />

downey@pbworld.com<br />

More hurdles stand in the way of action. Even if the<br />

House were to reach consensus on a bill, the Senate and<br />

the President need to agree, and each of those parties<br />

2


Vol. 3 • Issue 2<br />

U.S. Economic Performance and Outlook<br />

U.S. Economic Performance and Outlook<br />

Ed Yourdon<br />

by<br />

Matt Nespoli<br />

THE U.S. economy, as measured by the gross domestic<br />

product, expanded 2.2 percent in the third quarter of<br />

2009, the first positive growth since the second quarter<br />

of 2008. Most economists now believe that the recession has<br />

ended and the recovery, although very weak, is underway.<br />

Percent Change (annual rate)<br />

3%<br />

2%<br />

1%<br />

0%<br />

-1%<br />

-2%<br />

-3%<br />

-4%<br />

-5%<br />

-6%<br />

-7%<br />

2007 Q4<br />

2008 Q1<br />

2008 Q2<br />

U.S. quarterly real GDP growth<br />

2008 Q3<br />

2008 Q4<br />

2009 Q1<br />

2009 Q2<br />

2009 Q3<br />

source: BEA<br />

The main driver of the rebound in the third quarter was<br />

consumer spending (see chart to the above right), which<br />

thawed thanks to the “cash-for-clunkers” program in August.<br />

Vehicle purchases accounted for more than half of the growth<br />

in consumer spending in Q3. Since the “cash-for-clunkers”<br />

program is now expired, growth in consumer spending is<br />

expected to weaken over the near term.<br />

Business investment turned positive in Q3 after seven<br />

straight quarters of decline. Firms began demanding goods<br />

to replenish their inventories, which had been depleting<br />

since the second half of 2008 (see bottom chart). Inventories<br />

still remain low relative to historical levels, and will need to<br />

continue to be replenished in the near term, which will likely<br />

generate some positive manufacturing growth.<br />

Percent Change (annual rate)<br />

6%<br />

4%<br />

2%<br />

0%<br />

-2%<br />

-4%<br />

-6%<br />

-8%<br />

-10%<br />

-12%<br />

2.1% -0.7% 1.5%<br />

Q4 2007<br />

Q1 2008<br />

Q2 2008<br />

-2.7%<br />

Q3 2008<br />

-5.4%<br />

Q4 2008<br />

-6.4%<br />

Q1 2009<br />

-0.7%<br />

Q2 2009<br />

2.8%<br />

Consumer Spending Business Investment Government Spending Net Exports<br />

Components of U.S. quarterly real GDP growth<br />

Index<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

Dec-07<br />

Feb-08<br />

Apr-08<br />

Jun-08<br />

Aug-08<br />

Monthly ISM manufacturing <br />

inventories index<br />

Oct-08<br />

Dec-08<br />

Feb-09<br />

Apr-09<br />

Jun-09<br />

Q3 2009<br />

source: BEA<br />

Aug-09<br />

Oct-09<br />

source: Institute for Supply Management<br />

3


EFR Vol. 3 • Issue 2<br />

Thanks in part to the first-time home buyers tax credit,<br />

residential real estate investment also turned positive in Q3<br />

for the first time in four years, and average U.S. house prices<br />

increased 2.2 percent from Q2. Residential investment growth<br />

accounted for nearly half of the increase in total business<br />

fixed investment in Q3. However, mortgage foreclosure and<br />

delinquency rates remained at record levels through the third<br />

quarter of 2009, an important fact that underlies why many<br />

consumers are still nervous about spending.<br />

Billion 2000 Dollars<br />

900<br />

800<br />

700<br />

600<br />

500<br />

400<br />

300<br />

200<br />

100<br />

0<br />

2000 Q1<br />

2000 Q3<br />

2001 Q1<br />

2001 Q3<br />

2002 Q1<br />

2002 Q3<br />

2003 Q1<br />

2003 Q3<br />

2004 Q1<br />

2004 Q3<br />

2005 Q1<br />

2005 Q3<br />

2006 Q1<br />

2006 Q3<br />

2007 Q1<br />

Real Private Residential Investment<br />

2007 Q3<br />

2008 Q1<br />

2008 Q3<br />

2009 Q1<br />

2009 Q3<br />

Case Shiller 20-City Avg. Home Prices<br />

Real private residential investment (left axis) <br />

and U.S. home price index (right axis)<br />

250<br />

200<br />

150<br />

100<br />

50<br />

0<br />

Case Shiller Index<br />

source: BEA<br />

Nonresidential spending declined for the fifth quarter in a<br />

row, although the pace of decline has slowed substantially.<br />

Businesses increased purchases of equipment and software,<br />

but continued decreasing investment in structures and<br />

industrial equipment. This suggests that firms are not likely<br />

to hire new workers over the near term.<br />

Quarterly Percent Change<br />

2%<br />

1%<br />

0%<br />

-1%<br />

-2%<br />

-3%<br />

-4%<br />

-5%<br />

-6%<br />

Q4 2007<br />

Q1 2008<br />

Q2 2008<br />

Quarterly percent change in real <br />

private nonresidential investment<br />

Q3 2008<br />

Q4 2008<br />

Q1 2009<br />

Q2 2009<br />

Q3 2009<br />

source: BEA<br />

U.S. net exports declined slightly in the third quarter. Goods<br />

exports increased for the first time since 2008 Q2, indicating<br />

that global demand is starting to rise again, but imports<br />

grew faster than exports, driven by the temporary increase<br />

in U.S. consumer demand. This occurred in spite of a<br />

weakening dollar.<br />

Billions of US Dollarsd<br />

210<br />

190<br />

170<br />

150<br />

130<br />

110<br />

90<br />

70<br />

50<br />

Oct-07<br />

Nov-07<br />

Dec-07<br />

Jan-08<br />

ion<br />

U.S. nominal goods exports and imports<br />

Exports<br />

Feb-08<br />

Mar-08<br />

Apr-08<br />

May-08<br />

Jun-08<br />

Jul-08<br />

Aug-08<br />

Sep-08<br />

Oct-08<br />

Nov-08<br />

Dec-08<br />

Jan-09<br />

Feb-09<br />

Mar-09<br />

Apr-09<br />

Imports<br />

May-09<br />

Jun-09<br />

Jul-09<br />

Aug-09<br />

source: BEA<br />

The economy is expected to continue its positive growth<br />

trajectory through the end of 2009 and 2010, but at a slow<br />

pace. The major driver of near-term growth is likely to be<br />

manufacturing production to continue replenishing business<br />

inventories. Consumer spending is expected to remain<br />

subdued over the near term, as the temporary “cash for<br />

clunkers” and home-buyer stimulus programs expire and as<br />

job growth remains weak. Exports are expected to also post<br />

slow growth in the near term given the anemic projections<br />

for global demand.<br />

Using a weighted average of IMF, Global Insight, Blue Chip,<br />

and CBO projections, GDP growth is expected to expand<br />

2.1 percent in 2010, well below the historical average of 3.0<br />

percent. The recovery is expected to continue at a slow pace<br />

through 2013, with the highest expansion expected to occur<br />

in 2012.<br />

The latest long-term growth forecasts from Global Insight<br />

expect GDP growth around 2.7 percent, a lower level than the<br />

average growth experienced over the last 40 years.<br />

Employment<br />

In spite of the recent uptick in economic growth, the current<br />

unemployment rate stood at 10 percent through the end of<br />

November, the highest rate since 1983 and well above the full<br />

employment rate of five percent. Recent job losses have been<br />

concentrated in the construction, manufacturing, retail, and<br />

transportation and warehousing sectors.<br />

When including those who want full-time jobs but have<br />

stopped searching or only found part-time work, the<br />

unemployment rate was 17.2 percent through November,<br />

highlighting the true weakness of the labor market.<br />

The outlook for unemployment is bleak over the medium<br />

term. The weak expected consumer spending that will<br />

depress GDP growth in the near term will also prevent<br />

businesses from expanding output to levels that justify hiring<br />

new workers. Consumer spending will not rebound until<br />

4


Vol. 3 • Issue 2<br />

U.S. Economic Performance and Outlook<br />

5%<br />

4%<br />

3%<br />

2%<br />

1%<br />

0%<br />

-1%<br />

-2%<br />

Real GDP Growth Weighted Average<br />

2009 2010 2011 2012 2013 2014<br />

-2.5% 2.1% 2.8% 3.0% 2.8% 2.4%<br />

-3%<br />

2008 2009 2010 2011 2012 2013 2014<br />

U.S. real GPD growth forecasts<br />

Weighted Average Global Insight (10/09) IMF (10/09) Blue Chip (11/09) CBO (8/09)<br />

12%<br />

6%<br />

10%<br />

8%<br />

6%<br />

4%<br />

2%<br />

Twelve-Month Percent Change<br />

5%<br />

4%<br />

3%<br />

2%<br />

1%<br />

0%<br />

-1%<br />

-2%<br />

All Items<br />

Excluding Food & Energy<br />

0%<br />

Jan-00<br />

Jul-00<br />

Jan-01<br />

Jul-01<br />

Jan-02<br />

Jul-02<br />

Jan-03<br />

Jul-03<br />

Jan-04<br />

Jul-04<br />

Jan-05<br />

Jul-05<br />

Jan-06<br />

-3%<br />

Dec-07<br />

Feb-08<br />

Apr-08<br />

Jun-08<br />

Aug-08<br />

Oct-08<br />

Dec-08<br />

Feb-09<br />

Apr-09<br />

Jun-09<br />

Aug-09<br />

Civilian unemployment rate<br />

Jul-06<br />

Jan-07<br />

Jul-07<br />

Jan-08<br />

Jul-08<br />

Jan-09<br />

Jul-09<br />

source: BLS<br />

U.S. headline and core consumer price indexes<br />

source: BLS<br />

consumer confidence improves, and although confidence<br />

has slowly been rising in recent months, it is far from its<br />

historical average.<br />

Although the latest BLS numbers (released in December<br />

2009) show an uptick in employment (unemployment edged<br />

down to 10 percent in November 2009 from 10.2 percent<br />

in October 2009), a full and sustained recovery of the labor<br />

market may be slow and prolonged (lasting up to 10 years).<br />

Consumer price inflation<br />

In spite of the federal funds rate hovering near zero, inflation<br />

is currently not an issue; in fact, as the chart to the right<br />

shows, twelve-month headline inflation has actually been<br />

negative, due mainly to the fall in energy prices relative<br />

to the price spikes of 2008. Core inflation, which excludes<br />

food and energy and is watched more closely by the Federal<br />

Reserve, is below the informal target rate of two percent.<br />

Long-term inflation expectations also remain well within the<br />

Federal Reserve’s comfort zone, even with the large increases<br />

in the money supply from the TARP program. The current<br />

expected annual inflation over the next 10 years, derived<br />

from the spread between nominal and inflation-indexed<br />

Treasury securities, is around two percent, slightly below<br />

historical expectations.<br />

Energy prices<br />

Global crude oil prices have rebounded to $75/barrel after<br />

falling from the 2008 record highs above $125/barrel. The rise<br />

in energy prices since 2009 Q1 was mainly due to increasing<br />

consumption by China and other Asian economies, and the<br />

drop in the U.S. dollar relative to most world currencies. The<br />

U.S. Energy Information Administration (EIA) and the NY<br />

Mercantile Exchange futures market (NYMEX) expect oil<br />

prices to remain relatively stable through 2010, as increasing<br />

demand for oil from the U.S. and other advanced economies<br />

is met with increased supply and existing inventories.<br />

However, the EIA notes that uncertainty regarding the<br />

current forecast is high.<br />

For the U.S., the EIA expects that gasoline and diesel fuel<br />

prices will remain stable over the rest of 2009 and 2010,<br />

although there is considerable upside price risk depending<br />

5


EFR Vol. 3 • Issue 2<br />

on the pace of the global recovery and the U.S. dollar. U.S.<br />

liquid fuels consumption is expected to increase 1.7 percent<br />

in 2010 as the economy begins to rebound, and production in<br />

the lower 48 states is also expected to rise.<br />

Coal prices are expected by the EIA to fall slightly over<br />

the near term, as U.S. coal supply is projected to decline<br />

2.3 percent from the weak 2009 levels even in spite of the<br />

opening of several new coal-fired power plants.<br />

Dollars per Barrel<br />

Dollars per Gallon<br />

$150<br />

$125<br />

$100<br />

$75<br />

$50<br />

$25<br />

$0 $-<br />

Jan-08<br />

$5.00<br />

$4.50<br />

$4.00<br />

$3.50<br />

$3.00<br />

$2.50<br />

$2.00<br />

$1.50<br />

$1.00<br />

$0.50<br />

$0.00<br />

Dec-07<br />

Feb-08<br />

Apr-08<br />

Apr-08<br />

Jul-08<br />

Jun-08<br />

Gasoline<br />

Aug-08<br />

Oct-08<br />

Oct-08<br />

Jan-09<br />

Short-term outlook for global <br />

source: U.S. Energy Information<br />

crude oil prices (WTI) Administration<br />

Dec-08<br />

Diesel<br />

Short-term outlook for gasoline <br />

and diesel prices<br />

Feb-09<br />

Apr-09<br />

Apr-09<br />

Jun-09<br />

Aug-09<br />

Oct-09<br />

Dec-09<br />

Feb-10<br />

Apr-10<br />

Jun-10<br />

Aug-10<br />

Oct-10<br />

Dec-10<br />

source: U.S. Energy Information<br />

Administration<br />

Interest rates<br />

Over the last two years, interest rates for Treasury securities<br />

at all maturity levels have fallen, due to the decrease in<br />

federal funds rates to near-zero levels, the “flight to quality”<br />

that accompanied the 2008 financial crisis, and declining<br />

inflation expectations. Current yields on short-term Treasury<br />

bills are around 0.1 percent, while 10-year Treasury notes are<br />

close to 3.5 percent and 30-year Treasuries are roughly 4.3<br />

percent.<br />

Many economists expect that the Federal Reserve will leave<br />

its targeted federal funds rate unchanged at least through the<br />

end of 2010, and possibly longer. As previously mentioned,<br />

10-year inflation expectations are currently below average,<br />

since the gap between potential and actual output is expected<br />

Jul-09<br />

Oct-09<br />

Jan-10<br />

Apr-10<br />

Jul-10<br />

NYMEX<br />

EIA<br />

Oct-10<br />

to remain large for the foreseeable future. As long as<br />

unemployment remains high and capacity utilization (the<br />

ratio of actual output to potential output) low (see below),<br />

the economy will not be anywhere close to overheating, and<br />

the Federal Reserve will face no pressure to raise the federal<br />

funds rates from its current near-zero level.<br />

If the Federal Reserve chooses to keep the federal funds<br />

rate at its current level, long-term rates for Treasury and<br />

municipal securities will likely remain between four and five<br />

percent over the near term.<br />

Percent<br />

5%<br />

4%<br />

3%<br />

2%<br />

1%<br />

0%<br />

1M 1Y 5Y 10Y 30Y<br />

Oct-07 Apr-08 Oct-08 Apr-09 Dec-09<br />

Treasury yield curves<br />

90%<br />

85%<br />

80%<br />

75%<br />

70%<br />

65%<br />

60%<br />

55%<br />

50%<br />

Jan-00<br />

Jul-00<br />

Jan-01<br />

Jul-01<br />

Jan-02<br />

Jul-02<br />

U.S. capacity utilization<br />

40-year average<br />

Jan-03<br />

Jul-03<br />

source: U.S. Energy Information Administration<br />

Jan-04<br />

Jul-04<br />

Jan-05<br />

Jul-05<br />

Jan-06<br />

Jul-06<br />

Jan-07<br />

Jul-07<br />

9/09:<br />

13% below average<br />

Jan-08<br />

Jul-08<br />

Jan-09<br />

Jul-09<br />

source: U.S. Energy Information Administration<br />

Fiscal receipts<br />

The recession has caused a fiscal crisis in nearly all 50 states,<br />

as tax revenues from sales, personal income, corporate<br />

income, and capital gains have consistently come in lower<br />

than expected since the recession began in December 2007.<br />

Since job growth and business expansion is expected to be<br />

weak in the near term, poor fiscal conditions are expected to<br />

continue from FY 2010 through FY 2012.<br />

According to the National Association of State Budget<br />

Officers (NASBO), fiscal 2009 general fund expenditures are<br />

currently estimated to decline 2.2 percent compared to fiscal<br />

6


Vol. 3 • Issue 2<br />

U.S. Economic Performance and Outlook<br />

Total Nominal State Fiscal Balances<br />

Total Balance ($ in Millions)<br />

Region/State Fiscal 2008 Fiscal 2009 Fiscal 2010<br />

New England<br />

Connecticut $1,382 $1,100 $586<br />

Maine 116 75 90<br />

Massachusetts 2,406 1,466 1,014<br />

New Hampshire 106 51 51<br />

Rhode Island 61 10 121<br />

Vermont 58 60 57<br />

Mid-Atlantic<br />

Delaware 526 378 393<br />

Maryland 1,172 1,134 744<br />

New Jersey 1,304 699 500<br />

New York 2,754 1,514 1,242<br />

Pennsylvania 1,325 515 141<br />

Great Lakes<br />

Illinois 417 417 417<br />

Indiana 1,413 1,275 1,040<br />

Michigan 460 2 -130<br />

Ohio 2,694 1,336 1,242<br />

Wisconsin 131 216 237<br />

Plains<br />

Iowa 641 594 448<br />

Kansas 527 58 1<br />

Minnesota 1,920 569 903<br />

Missouri 1,115 483 271<br />

Nebraska 1,130 853 560<br />

North Dakota 653 703 543<br />

South Dakota 107 107 107<br />

Total Nominal State Fiscal Balances (continued)<br />

Total Balance ($ in Millions)<br />

Region/State Fiscal 2008 Fiscal 2009 Fiscal 2010<br />

Southeast<br />

Alabama $467 $237 $216<br />

Arkansas 0 0 0<br />

Florida 1,666 1,125 389<br />

Georgia 2,217 2,217 2,217<br />

Kentucky 300 47 24<br />

Louisiana 1,641 1,641 854<br />

Mississippi 440 375 300<br />

North Carolina 1,386 537 537<br />

South Carolina 324 147 211<br />

Tennessee 1,098 686 750<br />

Virginia 1,328 755 602<br />

West Virginia* 1,132 456 564<br />

Southwest<br />

Arizona 151 -430 15<br />

New Mexico 735 568 515<br />

Oklahoma 886 650 354<br />

Texas 11,171 8,698 8,539<br />

Rocky Mountain<br />

Colorado 327 148 161<br />

Idaho 380 198 152<br />

Montana 436 341 274<br />

Utah 414 395 270<br />

Wyoming 306 284 279<br />

Far West<br />

Alaska 8,746 5,396 4,643<br />

California 2,376 -2,341 3,182<br />

Hawaii 405 138 114<br />

2008 levels. Likewise, NASBO recommends a 2.5 percent<br />

decrease in governors’ budgeted expenditures for FY 2010.<br />

States currently estimate that they will have faced $230<br />

billion in reported budget gaps between fiscal 2009 and fiscal<br />

2011. Of this $230 billion, states have already closed $46.2<br />

billion in budget gaps during fiscal 2009.<br />

While the American Recovery and Reinvestment Act helped<br />

states avoid severe cuts in essential services, it has not<br />

ended the need for states to cut spending. In FY 2010, many<br />

states are expected to continue layoffs and cuts in employee<br />

benefits, across-the-board spending cuts, reductions in local<br />

aid, and higher transportation and motor vehicle fees.<br />

U.S. regional economic performance and outlook<br />

While the national economy will continue to recover<br />

slowly and very gradually, there are differences among<br />

regions in how deeply the recession has cut, how quickly<br />

or slowly recovery will occur, and how shallow or robust<br />

the recovery will be. Moreover, the nature of recovery will<br />

Nevada 388 187 307<br />

Oregon 91 341 -237<br />

Washington 1,093 -49 -1,139<br />

Total $62,319 $36,655 $34,669<br />

* 2009 data are estimates. 2010 data are projections source: NASBO<br />

vary from place to place, with some areas led alternatively<br />

by residential real estate, retailing, manufacturing activity,<br />

technology, agriculture, or something else. But in almost<br />

all regions, employment growth will lag other measures of<br />

recovery, and some sectors, such as commercial real estate,<br />

are expected to continue to weaken into 2010.<br />

Beginning in 2008 and extending through mid-2009, the<br />

recession hit certain states most severely, while a very few<br />

areas have been less dramatically effected. In percentage<br />

terms, states which experienced the worst losses in<br />

employment were concentrated in the industrial heartland<br />

and parts of the Upper Midwest, including Michigan<br />

(-3.2), Indiana (-1.8), Ohio (-1.9), Wisconsin, and Minnesota.<br />

Arizona and Oregon were also badly hit, with job losses of<br />

7


EFR Vol. 3 • Issue 2<br />

1.7 percent and 1.5 percent, respectively. Oregon, a state<br />

heavily dependent on its forestry and agricultural industries,<br />

was heavily impacted by the contractions in housing<br />

and other construction, and trade. In absolute numbers,<br />

California lost by far the most jobs (over one million, or a<br />

doubling in the number of jobless), and along with nine other<br />

states, 1 had unemployment rates well above 10 percent by<br />

the early summer 2009. By contrast, Texas did not lose jobs,<br />

and a few places actually gained, including the District of<br />

Columbia, Maryland, and the Dakotas. A number of other<br />

south central states also escaped major employment losses,<br />

due to proximity to the Texas market, concentrations of<br />

military activity, and stable pre-recession housing markets<br />

not overly caught up in the housing bubble.<br />

3.2 ≤<br />

5.4 ≤<br />

7.6 ≤<br />

9.9 ≤<br />

12.1 ≤<br />

< 5.4<br />

< 7.6<br />

< 9.9<br />

< 12.1<br />

≤ 14.3<br />

Over the longer term, the strongest recovery and growth<br />

is projected to occur in the West/Southwest regions, and in<br />

the Southeast—the same areas which have led growth for<br />

at least the past two decades. 2 The Southeast is expected<br />

to see a service and tourism industry lead recovery.<br />

However, recovery will be spotty at best in the near term.<br />

California, for example, is experiencing a state budget<br />

crisis of monumental proportions, although major public<br />

infrastructure projects, supported by federal assistance,<br />

may help to speed a recovery there. Moreover, the dramatic<br />

reductions in import activity have affected California’s<br />

transportation, warehousing, and distribution sector, a major<br />

driver for that state. Mountain regions will experience<br />

eventual growth lead by natural resources.<br />

October 2009 state unemployment rates<br />

source: Federal Reserve Bank of St. Louis<br />

Authors:<br />

Matt Nespoli specializes in economic impact<br />

modeling, cost-benefit analysis, international<br />

trade and macroeconomic forecasting, and revenue<br />

forecasting for various public sector infrastructure<br />

clients in the U.S. and Latin America.<br />

B.A., Economics, Villanova University<br />

nespoli@pbworld.com<br />

For the worst hit areas—the industrial Midwest and<br />

Michigan in particular—it is expected that simply recouping<br />

the jobs lost in the last year and half will take more than<br />

a decade, while population growth, even if modest, will<br />

translate into additional upward pressure on unemployment<br />

rates. In general, areas of the Midwest and Upper Midwest<br />

may actually experience zero population growth or even<br />

depopulation—a trend that will not be favorable for retailing<br />

and the housing construction industries in these areas. •<br />

1<br />

Michigan, Rhode Island, Oregon, S. Carolina, Nevada, Ohio, N. Carolina, and Kentucky<br />

2<br />

Forecasts by IHS Global Insight, U.S. Markets, Summer 2009. This projection is consistent with other forecasters, including the Federal<br />

Reserve, Beige Book, October 2009.<br />

8


Vol. 3 • Issue 2<br />

Construction Economic Review & Highway Cost Escalation Forecast<br />

Construction Economic Review & Highway Cost Escalation Forecast<br />

dailyinvention<br />

by<br />

Dr. Kumudu Gunasekera and Brad Ship<br />

UNTIL 2002, construction cost escalation followed<br />

general inflation – measured by the Consumer Price<br />

Index (CPI) – in a stable, linear trend. From 2002<br />

on, the variance between construction cost escalation (as<br />

measured by ENR’s Construction Cost Index) and general<br />

CPI inflation (shown to the right), has significantly increased.<br />

This divergence between general inflation and construction<br />

cost escalation has been driven largely (although not<br />

entirely) by volatile growth in key global commodity prices,<br />

particularly oil and steel. November 2008 through January<br />

2009 saw the biggest widening in the variance, due in part to<br />

the run up in steel and fuel prices from the second quarter of<br />

the year, which had impacts that lagged declines in overall<br />

inflation.<br />

Since January 2009, due to the global economic recession,<br />

CCI has had negative or no growth while CPI has had a<br />

modest inflationary effect. Moreover, the variance between<br />

the two has begun to decrease – thereby reducing the gap<br />

between the two. Despite the recent decrease, the variance<br />

between CPI inflation and CCI inflation is still at historically<br />

high levels. Due to this increased variance, federal, state, and<br />

local agencies, as well as private investors, have recognized<br />

the importance of obtaining construction cost escalation<br />

forecasts that reflect factors specific to construction, rather<br />

than general inflation (i.e., CPI).<br />

While ENR’s CCI is widely accepted in the industry, it<br />

is intended to measure the construction industry as a<br />

whole. It uses cost inputs which are generally applicable to<br />

construction (such as lumber, PVC, and other inputs) and<br />

Index Value<br />

175<br />

160<br />

145<br />

130<br />

1993<br />

1994<br />

1995<br />

1996<br />

1997<br />

1998<br />

1999<br />

2000<br />

2001<br />

2002<br />

2003<br />

2004<br />

2005<br />

2006<br />

2007<br />

115<br />

100<br />

85<br />

CPI, CCI, and variance between <br />

the two from 1993-2009<br />

Variance CPI-US CCI-US<br />

2008<br />

2009<br />

2010<br />

which do not necessarily represent major cost components<br />

of transportation infrastructure construction. Given the high<br />

degree of specialization and wide variance of cost inputs<br />

between construction types, it is difficult to use one broadbrush<br />

forecast for all applications.<br />

In order to track costs over time and judge the actual growth<br />

of costs of highway construction projects, PB developed<br />

an index of highway construction costs. This index is<br />

based on cost components developed through work on<br />

numerous highway construction projects across the U.S. The<br />

components included in this index are:<br />

• Construction labor<br />

• Construction equipment<br />

• Steel<br />

• Asphalt and asphalt binder<br />

• Aggregate<br />

• Concrete<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

-5<br />

Index Difference (CCI - CPI)<br />

source: BLS, ENR<br />

9


EFR Vol. 3 • Issue 2<br />

Each component is measured by the U.S. Bureau of Labor<br />

Statistics (BLS) and shown below. These are combined to<br />

create the PB Highway Cost Index, which is based on PB’s<br />

estimate of the relative share of total highway construction<br />

costs attributed to each component. The resulting index<br />

represents average highway construction cost for the U.S.<br />

as a whole. Different projects and capital programs will<br />

vary from this index depending on the mix of project and<br />

work types, as well as local contractor and material supplier<br />

markets.<br />

As shown below, PB’s Highway Construction Cost Index<br />

varies significantly from ENR’s Construction Cost Index,<br />

particularly beginning in 2006. This difference is largely due<br />

to PB’s inclusion of asphalt prices in its index. ENR’s index is<br />

a general construction index and therefore does not account<br />

for asphalt prices, which are the primary drivers for the large<br />

spike in highway construction prices in the summer of 2008.<br />

200<br />

180<br />

160<br />

140<br />

120<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

-20<br />

Jan-1999<br />

Jul-1999<br />

Jan-2000<br />

Jul-2000<br />

Jan-2001<br />

Jul-2001<br />

Jan-2002<br />

Jul-2002<br />

Jan-2003<br />

Jul-2003<br />

Jan-2004<br />

Jul-2004<br />

Jan-2005<br />

Jul-2005<br />

Jul-2006<br />

Jan-2007<br />

Jul-2007<br />

Jan-2006<br />

Jan-2008<br />

Jul-2008<br />

Jan-2009<br />

Jul-2009<br />

Variance PB Highway Construction Cost Index ENR CCI<br />

PB highway construction cost index<br />

vs. ENR construction cost index<br />

source: PB, ENR<br />

Construction cost inflation will be driven by both<br />

endogenous (resource) and exogenous (market) factors.<br />

Endogenous factors are internal while exogenous are<br />

external. These factors are detailed in the following sections.<br />

Based on analysis of these factors, an outlook for highway<br />

construction costs was developed and is presented below. It<br />

is important to note that this is a national-level forecast and,<br />

as such, the user should make appropriate adjustments based<br />

on specific project characteristics and local market conditions<br />

when applying this forecast to individual highway<br />

infrastructure projects. More detailed analysis of the topics<br />

discussed in this section is included later in this article.<br />

7%<br />

6%<br />

5%<br />

4%<br />

3%<br />

2%<br />

1%<br />

0%<br />

2.5%<br />

3.75%<br />

4%<br />

6.5%<br />

2010 2011 2012 2013 2014<br />

PB five-year highway construction cost forecast<br />

5%<br />

source: PB analysis<br />

Over the past year, stimulus funding has not caused high<br />

construction inflation, as anticipated. This is largely due<br />

to the substantial reduction in private sector construction<br />

and the facts that stimulus funding for transportation<br />

infrastructure was less than anticipated and has been<br />

somewhat slow to actually materialize. Although public<br />

sector construction spending has increased over the past<br />

few years, it has not made up for the losses in private sector<br />

spending. Additionally, stimulus funds have not been spent<br />

as quickly as was anticipated in the previous forecast. As a<br />

result, EFR forecasts cost escalation of 2.5 percent in 2010.<br />

Asphalt prices (which are largely driven by oil prices)<br />

dropped substantially in late 2008 and 2009 which is<br />

evidenced by PB’s Highway Construction Cost Index.<br />

When oil price growth occurs again, asphalt prices will also<br />

increase. However, asphalt price escalation is likely to lag<br />

behind prices for crude oil. Moody’s Economy.com (a third<br />

party forecast provider) anticipates high escalation of crude<br />

oil in 2010. EFR forecasts higher escalation (3.75 percent) in<br />

2011 as asphalt prices lag behind crude oil.<br />

Another reason why construction prices have remained low<br />

is heavy competition in contract bidding. Depressed demand<br />

for construction has led to an over-supply of contractors.<br />

As these contractors compete for fewer contracts, they bid<br />

with increasingly lower margins. As long as construction<br />

activity remains depressed, market forces will eventually<br />

drive contractors out of business who are either working on<br />

razor thin margins or unable to find enough work. Thus, the<br />

supply of contractors will come more in line with demand.<br />

In addition, it is anticipated that the impacts of a second<br />

stimulus (“jobs” bill) will begin to be felt in 2012. Market<br />

recovery, stabilization of the contractor market, and effects of<br />

both stimulus packages will lead to moderate price escalation<br />

(four percent) in 2012.<br />

As the economy begins to recover in earnest by 2013,<br />

stimulus spending on transportation construction will still<br />

be occurring from both ARRA and a likely “jobs” bill. The<br />

combination of increasing private sector spending in the<br />

recovery and the continued elevated public sector spending<br />

will lead to even higher construction cost escalation (6.5<br />

percent) in 2013. This trend is likely to continue through<br />

2014, but will ease some from the initial economic recovery.<br />

Resource costs affecting construction costs<br />

Construction Labor – despite high unemployment levels,<br />

construction wages have increased marginally above general<br />

inflation. While construction labor fell during 2008 Q4 and<br />

2009 Q1, they experienced strong growth in 2009 Q3 and<br />

2009 Q4. This results in relatively modest wage growth on an<br />

annual basis.<br />

10


Vol. 3 • Issue 2<br />

Construction Economic Review & Highway Cost Escalation Forecast<br />

Machinery and Equipment – U.S. is a net exporter of<br />

construction machinery and equipment. Equipment costs<br />

have remained relatively stable over last few years. Decrease<br />

in global demand and weak dollar are two factors that are<br />

expected to affect the cost of equipment in the near future.<br />

Given that these two are countervailing forces, we expect<br />

equipment costs to remain stable over the next few years.<br />

Steel – after the steep run up in 2008 and market correction<br />

thereafter, the cost of steel has slightly rebounded in the most<br />

recent BLS Producer Price Index (PPI) data, a 5.7 percent<br />

increase from 2009 Q2 to 2009 Q3. We expect steel prices to<br />

moderately increase in the next few years.<br />

Asphalt – asphalt prices are closely correlated with crude<br />

oil and refined petroleum prices, but there can be a lag in<br />

the effect. As forecasted by Moody’s Economy.com, crude oil<br />

prices are expected to spike up in 2010, which may result in<br />

an increase in asphalt prices in 2011. Recent BLS PPI shows a<br />

six percent increase from 2009 Q2 to 2009 Q3.<br />

Aggregate – aggregate is a highly localized commodity, and<br />

as such prices would vary from region to region. Relative<br />

to other commodities, aggregates have withstood the<br />

downward price pressures of the recession. Recent BLS PPI<br />

data shows a 0.3 percent decrease from 2009 Q2 to 2009 Q3.<br />

We anticipate aggregate prices to remain flat for the next few<br />

years.<br />

Ready Mix Concrete – concrete prices, relative to other<br />

commodities have withstood the downward price pressures<br />

of the recession. In fact, BLS’s PPI recently showed a price<br />

decrease of one percent in 2009 Q3 from 2009 Q2. Over the<br />

next few years, we anticipate a moderate increase in concrete<br />

prices primarily because of increases in global demand and<br />

increased transportation costs (concrete prices are closely tied<br />

to transportation costs and energy costs in general).<br />

Market factors affecting construction costs<br />

Stimulus funding<br />

The previously anticipated inflationary impacts from<br />

stimulus funding are not being fully felt in 2009. This is<br />

driven by two key factors.<br />

First, only a small percentage of stimulus funds have<br />

actually been spent. Currently, only $5.29 billion of the $30.28<br />

billion available to the Department of Transportation have<br />

been paid out. 1 While the Department of Transportation<br />

spending is not the only infrastructure spending in the<br />

American Recovery and Reinvestment Act of 2009 (ARRA),<br />

it represents approximately 80 percent of all transportation<br />

and infrastructure spending. 2 Given that there is at least<br />

some anticipated lag in stimulus effects on the economy from<br />

government spending, it is consistent that there would be no<br />

clear impact in 2009.<br />

It is anticipated that stimulus spending on transportation<br />

projects will continue through 2019, with approximately<br />

20 percent of total stimulus spending in FY 2010 and<br />

approximately 75 percent of all spending completed by the<br />

end of FY 2013. 3<br />

The second key factor is that while public spending on<br />

construction projects has increased by approximately 27<br />

percent in the past three years, private sector spending has<br />

fallen 32 percent. As a result, total construction spending fell<br />

Available<br />

Paid Out<br />

$5.29 B<br />

$30.28 B<br />

$0 $8 $16 $24 $32<br />

Stimulus spending to date<br />

source: www.recovery.gov<br />

The following page shows PPI from the U.S. Bureau of<br />

Labor Statistics for construction cost components, except<br />

Construction Labor which is the average hourly earnings<br />

of construction workers, also obtained from BLS. For ease<br />

of use, they have been adjusted so that all share a common<br />

base value of 100 in 1999. This allows a clearer comparison of<br />

growth in each index. The first six components are included<br />

in PB’s Highway Construction Cost Index, while the last two<br />

components are tracked as additional information sources.<br />

The graphics show annual data from 1999 to 2007 and then<br />

quarterly data for the past seven quarters.<br />

USD (billions)<br />

$1,400<br />

Private Public<br />

$1,159 B<br />

$1,200<br />

$1,000<br />

$800<br />

$600<br />

$400<br />

$200<br />

$0<br />

$903B<br />

$256B<br />

2006-Q3<br />

200 -Q4<br />

2007-Q1<br />

200 -Q2<br />

2007-Q3<br />

2007-Q4<br />

2008-Q1<br />

2008-Q2<br />

2008-Q3<br />

Public and private construction spending (2006 – 2009)<br />

2008-Q4<br />

2009-Q1<br />

2009-Q2<br />

$936 B<br />

$611B $325B<br />

2009-Q3<br />

1<br />

Figure current as of October 30th, 2009 and accessed via www.recovery.gov.<br />

2<br />

Total infrastructure spending of $38.16 billion based on data published by the House of Representatives Transportation and Infrastructure<br />

Committee (http://transportation.house.gov/Media/file/Full%20Committee/Stimulus/Total%20Infrastructure%20Investment%20Funding_Single%20Table.pdf).<br />

3<br />

Congressional Budget Office, March 2, 2009. Fiscal years are U.S. government fiscal years which end September 30th.<br />

11


EFR Vol. 3 • Issue 2<br />

250<br />

Construction Labor<br />

250<br />

Machinery and Equipment<br />

200<br />

200<br />

150<br />

150<br />

100<br />

100<br />

50<br />

50<br />

0<br />

0<br />

1999<br />

2000<br />

2001<br />

2002<br />

2003<br />

2004<br />

2005<br />

2006<br />

2007<br />

2008 Q1<br />

2008 Q2<br />

2008 Q3<br />

2008 Q4<br />

2009 Q1<br />

2009 Q2<br />

2009 Q3<br />

1999<br />

2000<br />

2001<br />

2002<br />

2003<br />

2004<br />

2005<br />

2006<br />

2007<br />

2008 Q1<br />

2008 Q2<br />

2008 Q3<br />

2008 Q4<br />

2009 Q1<br />

2009 Q2<br />

2009 Q3<br />

250<br />

Steel<br />

500<br />

Asphalt<br />

200<br />

400<br />

150<br />

300<br />

100<br />

200<br />

50<br />

100<br />

0<br />

1999<br />

2000<br />

2001<br />

2002<br />

2003<br />

2004<br />

2005<br />

2006<br />

2007<br />

2008 Q1<br />

2008 Q2<br />

2008 Q3<br />

2008 Q4<br />

2009 Q1<br />

2009 Q2<br />

2009 Q3<br />

0<br />

1999<br />

2000<br />

2001<br />

2002<br />

2003<br />

2004<br />

2005<br />

2006<br />

2007<br />

2008 Q1<br />

2008 Q2<br />

2008 Q3<br />

2008 Q4<br />

2009 Q1<br />

2009 Q2<br />

2009 Q3<br />

250<br />

Aggregate<br />

250<br />

Ready-Mixed Concrete<br />

200<br />

200<br />

150<br />

150<br />

100<br />

100<br />

50<br />

50<br />

0<br />

0<br />

1999<br />

2000<br />

2001<br />

2002<br />

2003<br />

2004<br />

2005<br />

2006<br />

2007<br />

2008 Q1<br />

2008 Q2<br />

2008 Q3<br />

2008 Q4<br />

2009 Q1<br />

2009 Q2<br />

2009 Q3<br />

1999<br />

2000<br />

2001<br />

2002<br />

2003<br />

2004<br />

2005<br />

2006<br />

2007<br />

2008 Q1<br />

2008 Q2<br />

2008 Q3<br />

2008 Q4<br />

2009 Q1<br />

2009 Q2<br />

2009 Q3<br />

250<br />

200<br />

Highway & Street Construction<br />

800<br />

700<br />

600<br />

Diesel<br />

150<br />

500<br />

400<br />

100<br />

300<br />

50<br />

200<br />

100<br />

0<br />

0<br />

1999<br />

2000<br />

2001<br />

2002<br />

2003<br />

2004<br />

2005<br />

2006<br />

2007<br />

2008 Q1<br />

2008 Q2<br />

2008 Q3<br />

2008 Q4<br />

2009 Q1<br />

2009 Q2<br />

2009 Q3<br />

1999<br />

2000<br />

2001<br />

2002<br />

2003<br />

2004<br />

2005<br />

2006<br />

2007<br />

2008 Q1<br />

2008 Q2<br />

2008 Q3<br />

2008 Q4<br />

2009 Q1<br />

2009 Q2<br />

2009 Q3<br />

Highway and other construction cost indicators<br />

source: BLS<br />

Note: All indices correspond to the BLS indices, but have been readjusted to have a base value of 100 in 1999. Light gray bars represent yearly<br />

values while lighter gray bars represent quarterly values.<br />

12


Vol. 3 • Issue 2<br />

Construction Economic Review & Highway Cost Escalation Forecast<br />

more than 19 percent in the same time period. Regardless<br />

of increases in public spending, which are a result of<br />

stimulus spending, total demand for construction has fallen<br />

considerably over the past three years.<br />

Stimulus funding for transportation construction is<br />

anticipated to continue through 2019. In 2010, we anticipate<br />

this public spending stimulus to merely offset the decrease<br />

in private sector spending. However, with the anticipated<br />

economic recovery which would reinvigorate the private<br />

sector construction market, from 2011 onwards we expect the<br />

stimulus to have an inflationary effect on construction costs.<br />

At the time of publication the U.S. House of Representatives<br />

was beginning debate on a second stimulus package or<br />

“jobs” bill known as the Jobs for Main Street Act of 2010.<br />

The bill as written includes $48 billion in new funding for<br />

infrastructure programs ($37.3 billion allocated to highway,<br />

transit, aviation and rail programs). Little additional detail<br />

was available at the time of publication and it is not certain<br />

what, if any, funding will be passed. Whatever a final “jobs<br />

bill” contains, the impacts to construction escalation are<br />

likely to lag similarly to the impacts from ARRA.<br />

Bid market / local contractor competition<br />

In addition to depressed commodity prices, contractors and<br />

subcontractors, in order to keep their crews busy and remain<br />

in business, are significantly reducing their margins, which<br />

results in aggressive bidding (i.e., low bids), and pursuing<br />

smaller projects that are outside their traditional geographic<br />

boundaries that they would traditionally not have bid on.<br />

This results in higher contractor competition.<br />

As a result, contractor bids are coming in much lower<br />

than agency estimates. For example, in California, bids on<br />

large scale projects are falling as much as 70 percent below<br />

preliminary agency estimates. This is a complete reversal<br />

from the “construction boom” times when preliminary<br />

agency estimates used to include a 10 percent to 15 percent<br />

margin for cost escalation. •<br />

Agency Project Cost change from original estimate<br />

S.F. International Airport<br />

Terminal 2 rebuild<br />

-8.2%<br />

S.F. Department of Public Works 3rd/7th/Howard/Leavenworth Streets Sewer Replacement<br />

-11.4%<br />

Hetch Hetchy (S.F. PUC)<br />

Water treatment plant improvements in San Mateo<br />

-13.8%<br />

Hetch Hetchy (S.F. PUC)<br />

New Crystal Springs bypass tunnel<br />

-14.3%<br />

Hetch Hetchy (S.F. PUC)<br />

Design and construction of a water treatment facility near Tracy<br />

-15.2%<br />

Hetch Hetchy (S.F. PUC)<br />

Upgrades to pump station in Sunol Valley<br />

-17.6%<br />

Hetch Hetchy (S.F. PUC)<br />

Noe Valley water main improvement<br />

-20.8%<br />

S.F. Department of Public Works Balboa Street Phase I Pavement Renovation and Sewer Replacement<br />

-21.0%<br />

Hetch Hetchy (S.F. PUC)<br />

Seismic upgrades to water valves in South San Francisco and Daly City<br />

-28.1%<br />

S.F. Department of Public Works Various Locations Pavement Renovation<br />

-32.0%<br />

Hetch Hetchy (S.F. PUC)<br />

Seismic upgrades to pipeline crossing at Hayward Fault<br />

-40.9%<br />

Hetch Hetchy (S.F. PUC)<br />

Lake Merced Pump Station upgrades<br />

-42.1%<br />

BART<br />

Tunnel section of Warm Springs extension<br />

-45.4%<br />

Hetch Hetchy (S.F. PUC)<br />

Increasing discharge channel capacity in San Mateo County -72.0%<br />

Estimated versus actual bids source: San Francisco Business Times, September 2009<br />

Authors:<br />

Dr. Kumudu Gunasekera is a senior<br />

infrastructure economist specializing in highway/<br />

transit cost benefit analyses, regional economic<br />

impact assessments, econometric forecasting, and<br />

goods movement analysis.<br />

Ph.D., M.A., Boston University;<br />

B.A., Hobart and William Smith Colleges<br />

gunasekera@pbworld.com<br />

Brad Ship combines a background in engineering<br />

with knowledge and training in business, finance,<br />

and economics to advise clients on infrastructure<br />

finance and economics.<br />

M.E.M., Dartmouth College;<br />

B.S., Lafayette College<br />

shipb@pbworld.com<br />

13


EFR Vol. 3 • Issue 2<br />

Is the U.S. Container Trade Recession Over?<br />

Jose D. Leon Guerrero Commercial Port<br />

Port Authority of Guam<br />

by<br />

Scudder Smith<br />

DIFFERENT sectors of the U.S. economy have widely<br />

varying cycles relative to aggregate economic<br />

expansion and contraction. Perhaps most notable<br />

is unemployment continuing to rise well after a recession<br />

officially ends.<br />

Container trade versus real economic growth<br />

Previous articles suggested that container trade growth,<br />

that had seemed to be impervious to economic slowdowns,<br />

would be likely to grow in the medium to long-term at rates<br />

closer to real GDP. 1 It is now beyond doubt that container<br />

trade has become more adversely affected by economic<br />

decline, as shown to the right (top figure). What began as<br />

an unprecedented 4.8 percent drop in container trade in<br />

2008 now seems modest compared to a projected double<br />

digit decline in total container volumes in 2009. The critical<br />

questions facing the container transportation industry today<br />

are when the recession in container trade will end and what<br />

the recovery will look like.<br />

Timing of the U.S. container trade recession<br />

Real annual GDP and total container trade growth rates<br />

would seem to indicate that the U.S. container trade recession<br />

began in 2008, perhaps roughly coincident with the official<br />

beginning of the economic recession in December 2007,<br />

and that it is continuing into 2009. However, a look at U.S.<br />

containerized imports (which are the predominant part<br />

of container trade) suggests that the U.S. container trade<br />

recession actually began in 2007 Q3 as U.S. import container<br />

tonnage dropped below levels for the same quarter from the<br />

previous year (see adjacent bottom figure). This would place<br />

15%<br />

10%<br />

5%<br />

0%<br />

-5%<br />

-10%<br />

-15%<br />

-20%<br />

1992<br />

1993<br />

1994<br />

1995<br />

1996<br />

1997<br />

1998<br />

1999<br />

US TEUs<br />

US Real GDP<br />

2000<br />

2001<br />

U.S. real GDP and total container trade <br />

growth rates (*2009 volumes are projected <br />

based on year-to-date data)<br />

20%<br />

15%<br />

10%<br />

5%<br />

0%<br />

-5%<br />

-10%<br />

-15%<br />

-20%<br />

-25%<br />

2006 Q1<br />

2006 Q2<br />

2006 Q3<br />

2006 Q4<br />

2007 Q1<br />

2007 Q2<br />

2007 Q3<br />

2007 Q4<br />

2002<br />

2008 Q1<br />

Change in total U.S. and West Coast container <br />

import tonnage (from year-ago same quarter)<br />

2003<br />

2008 Q2<br />

2004<br />

2008 Q3<br />

2005<br />

2006<br />

2007<br />

2008<br />

2009 *<br />

source: AAPA, BEA,<br />

and PB analysis<br />

US Total<br />

West Coast<br />

2008 Q4<br />

20009 Q1<br />

2009 Q2<br />

2009 Q3<br />

source: U.S. Census Bureau<br />

and PB analysis<br />

1<br />

Scudder Smith (May 2009), A New Normal for U.S. Container Trade,<br />

EFR Vol 3, Issue 1<br />

14


Vol. 3 • Issue 2<br />

Is the U.S. Container Trade Recession Over?<br />

the beginning of the container trade recession at about six<br />

months ahead of the economic recession.<br />

These data also show that year over year changes in quarterly<br />

container import trade reached a maximum decline in 2009<br />

Q2 at -22.5 percent, with Q3 decline of “just” 18.0 percent.<br />

If this slowdown in quarterly declines holds into 2009 Q4<br />

and beyond, 2009 Q3 could be considered the end of the U.S.<br />

trade recession. If this remains the case, the U.S. container<br />

trade recession will have lasted two full years.<br />

U.S. West Coast—higher growth, greater fall<br />

This figure also includes data for the U.S. West Coast (shown<br />

as a purple line on the lower graph on the previous page).<br />

While West Coast container imports grew more rapidly than<br />

the U.S. total in 2006 and into early 2007, the West Coast has<br />

also experienced a steeper decline than the U.S. as a whole<br />

during the two-year container trade recession.<br />

The most recent monthly data for West Coast ports shows<br />

that for October, a peak volume month, declines in total<br />

container TEU volumes have continued to moderate (see<br />

below). The 15.6 percent decline in October 2009 volume<br />

compared to October 2008 is a reduction from the maximum<br />

21.5 percent drop recorded in 2009 Q1. In fact, using this<br />

measure, declines have been slowing beginning in 2009 Q2<br />

(at -19.2 percent) and continuing in 2009 Q3 (-16.1 percent).<br />

10%<br />

5%<br />

0%<br />

-5%<br />

-10%<br />

-15%<br />

-20%<br />

-25%<br />

2006 Q1<br />

2006 Q2<br />

2006 Q3<br />

2006 Q4<br />

2007 Q1<br />

2007 Q2<br />

2007 Q3<br />

2007 Q4<br />

2008 Q1<br />

Change in total West Coast container <br />

TEU volumes (from year-ago same period)<br />

2008 Q2<br />

2008 Q3<br />

2008 Q4<br />

2009 Q1<br />

2009 Q2<br />

2009 Q3<br />

2009 Oct<br />

source: Pacific Maritime<br />

Association and PB Analysis<br />

Is the U.S. container trade recession over? If so,<br />

what next?<br />

It appears the U.S. container trade recession is over, at least<br />

in a technical sense, having reached a deep trough. But,<br />

like unemployed individuals, this may be of scant comfort<br />

to those in the container transportation industry looking at<br />

2009 volumes that will match those of 2003. The important<br />

question at this point is what the recovery will look like.<br />

Some of the fundamental drivers of container trade include<br />

aggregate economic growth, housing and residential<br />

construction, consumer saving and spending, and changes in<br />

inventories.<br />

Aggregate economic growth<br />

Aggregate economic growth projections are reviewed in<br />

the preceding article, U.S. Economic Performance and Outlook.<br />

Summarizing the implications for container trade growth, the<br />

outlook is positive for economic growth in the next few years,<br />

but growth is likely to be much more modest than that seen<br />

in the recent past. This provides the basic underpinnings of<br />

short-term trade growth prospects, that is, modest growth of<br />

two to three percent.<br />

Housing and residential construction<br />

After a long period of decline beginning in early 2006, the<br />

housing sector and residential construction appear to be<br />

rebounding, beginning in 2009 Q3. These sectors are basic<br />

drivers of a wide range of U.S. containerized imports from<br />

wood products and building materials to furniture and<br />

household furnishings. Stabilization of these economic<br />

sectors will mean that imports of related products may begin<br />

to contribute to trade growth or, at a minimum, cease to be a<br />

cause of further declines in container volumes. In summary,<br />

stabilization of these sectors will provide a boost to container<br />

trade growth, the amount of such boost depending on the<br />

strength of the recovery.<br />

Personal savings<br />

Consumer spending is a key driver of container trade, and<br />

this spending is dependent on personal incomes but also<br />

on personal savings rates. Smith (2009) 1 pointed out that<br />

historically low savings rates contributed to rapid increases<br />

in consumer spending from 2005 through 2007. Saving<br />

rate declines, and spending growth, were enabled in part<br />

by increasing housing values and expanding credit. The<br />

personal savings rate more than tripled from a low of 1.2<br />

percent in 2008 Q1 to an average of 3.8 percent in the six<br />

quarters from 2008 Q2 though 2009 Q3. A direct corollary of<br />

this savings rate increase is a decrease in consumer spending,<br />

discussed in the section below.<br />

6%<br />

5%<br />

4%<br />

3%<br />

2%<br />

1%<br />

0%<br />

2004 Q1<br />

2004 Q3<br />

2005 Q1<br />

2005 Q3<br />

2006 Q1<br />

2006 Q3<br />

Personal savings rates jumped from <br />

historic lows beginning in 2008 Q2<br />

2007 Q1<br />

2007 Q3<br />

2008 Q1<br />

2008 Q3<br />

2009 Q1<br />

2009 Q3<br />

source: BEA and PB Analysis<br />

15


EFR Vol. 3 • Issue 2<br />

10%<br />

8%<br />

6%<br />

4%<br />

2%<br />

0%<br />

-2%<br />

-4%<br />

-6%<br />

1971<br />

1972<br />

1973<br />

1974<br />

1975<br />

1976<br />

1977<br />

1978<br />

1979<br />

1980<br />

1981<br />

1982<br />

1983<br />

1984<br />

1985<br />

1986<br />

1987<br />

1988<br />

1989<br />

1990<br />

1991<br />

1992<br />

1993<br />

1994<br />

1995<br />

1996<br />

1997<br />

1998<br />

1999<br />

2000<br />

2001<br />

2002<br />

2003<br />

2004<br />

2005<br />

2006<br />

2007<br />

2008<br />

2009<br />

Historic declines in real consumer spending on goods have occurred in 2008-2009<br />

source: BEA and PB analysis<br />

Consumer spending<br />

A major contributor to the sharp decline in container trade<br />

experienced over the past two years is the decline in total<br />

real consumer spending, especially spending on goods,<br />

that occurred in 2008 and also in 2009. Real consumer<br />

spending on goods declined 2.1 percent in 2008 while 2009<br />

spending has declined 2.3 percent, based on data through<br />

the third quarter (see above). To put this in perspective, real<br />

annual aggregate consumer spending has not declined in<br />

two consecutive years since 1930 through 1934. Consumer<br />

spending on goods last declined in two consecutive years in<br />

1942 and 1943.<br />

More consumer spending will lead to increases in U.S. imports<br />

David Davies<br />

In many product categories the declines in consumer<br />

spending have apparently ended, based on 2009 Q3 and<br />

October data. For example, real consumer spending on<br />

furniture and furnishings peaked at $167 billion in 2007 Q4<br />

and dropped to a rate of $146 billion in 2009 Q2 (a decrease of<br />

12.5 percent). Spending in this category increased to annual<br />

rates of $148 billion in 2009 Q3 and to $149 billion in October.<br />

180<br />

170<br />

160<br />

150<br />

140<br />

130<br />

2006 Q1<br />

2006 Q2<br />

2006 Q3<br />

2006 Q4<br />

2007 Q1<br />

2007 Q2<br />

2007 Q3<br />

2007 Q4<br />

Real personal consumption expenditures source: BEA and PB analysis<br />

on furniture and furnishings (seasonally<br />

adjusted at annual rates in billions of 2005 Dollars)<br />

2008 Q1<br />

2008 Q2<br />

2008 Q3<br />

2008 Q4<br />

2009 Q1<br />

2009 Q2<br />

2009 Q3<br />

2009 Oct<br />

As consumer spending rebounds across many product<br />

categories, this will directly lead to increases in U.S. imports<br />

and container trade. Growth in spending, and imports, will<br />

be tempered by growth in incomes which may be dampened<br />

by slow employment growth. If savings rates do not increase<br />

further, this will also allow higher consumer spending.<br />

Inventories<br />

Another major factor contributing to declines in U.S.<br />

imports has been a reduction in inventories. As consumer<br />

spending and U.S. manufacturing declined, all parties in<br />

product supply chains including retailers, wholesalers, and<br />

manufacturers have naturally tended to reduce inventories.<br />

Some inventory reductions contribute to declines in U.S.<br />

manufacturing, but reductions also depress sourcing from<br />

overseas locations. Thus, U.S. imports have declined due to<br />

sharp drops in underlying consumer spending demand but<br />

also declined in the inflow of intermediate and final goods<br />

stocks.<br />

As displayed on the next page, inventories began to decline<br />

in the retail sector in 2007 Q1 in apparel and department<br />

stores and later in 2007 in building materials. In food and<br />

beverages, inventories generally increase with steady<br />

16


Vol. 3 • Issue 2<br />

Is the U.S. Container Trade Recession Over?<br />

55<br />

50<br />

45<br />

40<br />

35<br />

30<br />

25<br />

20<br />

2006 Q1<br />

2006 Q2<br />

2006 Q3<br />

2006 Q4<br />

2007 Q1<br />

2007 Q2<br />

2007 Q3<br />

2007 Q4<br />

Building materials, garden equipment<br />

Food and beverage<br />

2008 Q1<br />

Furniture, furnishings, electronics, appliances<br />

Real inventories for major retail store<br />

categories (seasonally adjusted billions<br />

of 2005 dollars)<br />

2008 Q2<br />

2008 Q3<br />

2008 Q4<br />

2009 Q1<br />

2009 Q2<br />

2009 Q3<br />

Clothing and accessories<br />

Department stores<br />

source: BEA and PB analysis<br />

It is also possible that the severity of the recession may have<br />

altered companies’ inventory management philosophies<br />

and processes leading to lowered required inventory levels<br />

(e.g. by expanding Just-in-Time product sourcing). To the<br />

extent this is the case, a rebound in inventories may be less<br />

than would have occurred in shorter or less severe economic<br />

cycles experienced in the past. This would, in turn, tend to<br />

dampen expected recovery growth rates.<br />

Summary<br />

The U.S. container trade recession appears to have ended in<br />

2009 Q3.<br />

However, the recovery in 2010 and 2011 is likely to be<br />

modest, buoyed by growth in the aggregate economy, a mild<br />

turnaround in housing and residential construction and<br />

increases in consumer spending. Possibly dampening growth<br />

are the potential for continued increases in savings rates and<br />

declines in inventories. •<br />

Author:<br />

Scudder Smith specializes in international trade<br />

and goods movement analysis and forecasting.<br />

He has extensive project experience in evaluating<br />

infrastructure capacity and analyzing demand<br />

forecast for goods movement.<br />

Concrete Forms<br />

A mild turnaround in housing and residential construction, along with more<br />

consumer spending, will likely buoy a mild recovery in 2010 and 2011<br />

M.S., B.S.: Massachusetts Institute of Technology<br />

smithsc@pbworld.com<br />

growth in consumption. An almost unnoticeable decline<br />

occurred in food and beverage stores in 2008 Q4 following<br />

a short-lived drop in consumer spending in the second half<br />

of 2008. In furniture and household equipment, declines<br />

did not occur until 2008 and 2009. This aggregate sector has<br />

been held up by consumer electronics where real consumer<br />

spending has generally increased over the period shown. The<br />

previous page (bottom left) shows that consumer spending<br />

on furniture and furnishings declined beginning in 2008 Q1.<br />

Inventory levels in furniture manufacturing and wholesaling<br />

reflect these spending declines.<br />

The continuing decline in inventories through 2009 Q3<br />

suggests that declines may still be dampening overall<br />

container trade across many industries and product groups.<br />

With an outlook for modest growth in consumer spending,<br />

inventory reductions may not have yet reached bottom,<br />

and eventual increases in inventory levels may not add to<br />

increasing trade until 2010 and 2011.<br />

17


EFR Vol. 3 • Issue 2<br />

Technology Transfer for Future Surface Transportation<br />

Argonne National Laboratory<br />

by<br />

Steve Lockwood<br />

AS the 21st Century progresses,<br />

both internal and external<br />

forces will increasingly<br />

drive the surface transportation<br />

systems toward new types and<br />

levels of performance. In the longrun<br />

many, if not most, of these<br />

technologies originate from outside<br />

the transportation sector. Presently,<br />

surface transportation lacks an<br />

organized sector-wide process to<br />

nurture the development of an<br />

advanced technology transfer process<br />

from outside the sector. There are<br />

useful lessons to be learned from<br />

other sectors that might be adapted<br />

in the development of a set of new<br />

institutional arrangements for surface<br />

transportation. This article addresses<br />

the stakes and key challenges to this<br />

type of technology transfer.<br />

The drive towards economic<br />

competitiveness, improved<br />

environment and livability—not to<br />

mention a more reliable, safe and<br />

cost-effective transportation—is<br />

introducing new demands for a<br />

more sustainable basis for surface<br />

transportation, with implications<br />

for all components of the system:<br />

infrastructure, vehicles and their<br />

operational systems and interactions.<br />

None of these demands are totally new<br />

and some positive trends are visible<br />

in many areas. But what is new is the<br />

growing pressure to move past vague<br />

sector commitments to sustainability<br />

towards institutionalized requirements<br />

for performance-based management<br />

fostered by powerful policy support<br />

and legal imperatives from outside the<br />

transportation sector. The suggestions<br />

of some skeptical interest groups<br />

notwithstanding, accommodating and<br />

even surpassing these multi-valued<br />

expectations will not be accomplished<br />

by reducing the investment in<br />

transportation. To the contrary, a range<br />

of recent studies indicates that relevant<br />

performance levels will require a<br />

robust sector, combining innovative<br />

infrastructure designs and materials,<br />

new vehicle technologies, an array of<br />

systems and services together with<br />

aggressive operational management of<br />

the vehicle-infrastructure system, if the<br />

appropriate performance objectives of<br />

“triple bottom line” are to be met.<br />

The term “technology transfer” can be<br />

misleading. Individual technologies<br />

do not impact performance in isolation.<br />

To become relevant, most must be<br />

developed in combinations (systems<br />

or subsystems) called “platforms” that<br />

together provide the transportation<br />

performance-related functionality.<br />

Performance and relevant<br />

technology<br />

As shown by a few examples in the<br />

table on the following page, improving<br />

systems performance is substantially<br />

dependent on key technologies from<br />

outside transportation technology.<br />

Some of these technologies are<br />

emerging from basic research in<br />

other sectors and are not often widely<br />

appreciated within transportation.<br />

Example platforms may include<br />

combinations that make up systems<br />

for vehicle power trains, vehicle<br />

infrastructure communications, energy<br />

sources / emission controls, crash<br />

avoidance systems, advanced design<br />

visualization, among many others. The<br />

table on the following page illustrates<br />

the relationships across a range of<br />

performance categories and measures,<br />

technology trends and systems to the<br />

key technologies themselves. The key<br />

technologies highlighted suggest how<br />

far outside of the transportation arena<br />

many of the potentially important<br />

technologies are located<br />

In this context, a long-term perspective<br />

is important. It is increasingly<br />

18


Vol. 3 • Issue 2<br />

Technology Transfer for Future Surface Transportation<br />

Performance<br />

Categories Measures Trends Platforms Key Technologies<br />

Mobility<br />

Travel<br />

Demand<br />

Reliability<br />

Safety<br />

• Travel time/speed<br />

• Delay<br />

• Vehicle hours of travel<br />

• Accessibility<br />

• Travel cost to users<br />

• Vehicle mi/hr of travel<br />

• Fuel consumption<br />

• Accessibility measures<br />

• User Costs<br />

• Environmental impacts<br />

• On-time variability<br />

• Buffer index<br />

• Crash rates/severity<br />

• Fatalities & rates<br />

• Secondary crashes<br />

• Higher speed transit & rail<br />

• Demand responsive transit<br />

• Bus rapid transit<br />

• Vehicle sharing systems<br />

• Light vehicle options<br />

• Real-time congestion mgt<br />

• Tele-working, -shopping,<br />

-entertain’t, -conferencing<br />

• TOD patterns<br />

• Non-motorized travel<br />

• Real-time congestion &<br />

incident mgt<br />

• Improved real-time<br />

traveler information<br />

• Real-time weather mgt<br />

• Passive to active safety<br />

• Collision avoidance<br />

• Improved crashworthiness<br />

• Automated enforcement<br />

• Driver assistance/support<br />

• Automated-vehiclehighway<br />

system<br />

likely (given the focus of desired<br />

performance) that many of the relevant<br />

technologies come from outside the<br />

transport sector – both those related<br />

to public infrastructure development<br />

and those related to the private sector<br />

vehicles and services. Many of the<br />

promising technologies include<br />

IT, communications, energy, nano<br />

materials, biochemistry, etc. – many<br />

of which are substantially outside the<br />

expertise, and even the awareness of<br />

the infrastructure and vehicle systems<br />

industry as they currently operate.<br />

New technology, some even in the<br />

“basic” stage of development, is likely<br />

to play a major (if not the major) role<br />

in the transition to more sustainable<br />

transportation system performance<br />

in both the infrastructure, vehicle<br />

and systems operations arena. A<br />

Argonne National Laboratory<br />

Nano materials, like these solar cells that are<br />

10,000 times smaller than the width of a human<br />

hair, is likely a promising technology<br />

• In-vehicle information<br />

• V2I comm<br />

• Vehicle-to-vehicle comm<br />

• Dual mode transit systems<br />

• Automatic train controls<br />

• Improved information<br />

display/resolution<br />

• Improved video conference<br />

• Web-based transactions<br />

• Incident detection<br />

• Integrated comm<br />

• Advanced (micro) weather<br />

prediction/treatment systems<br />

• Crash avoidance systems<br />

• Intersection collision<br />

avoidance<br />

• Automatic vehicle<br />

identification<br />

• Driver alertness<br />

maintenance<br />

Acronyms/Abbreviations:<br />

Management (mgt), Communications (comm), Artifical Intelligence (A.I.), Transit-Oriented Development (TOD)<br />

Increased ( ), Reduced ( )<br />

Example performance objectives as related to measures, platforms and technologies<br />

• Sensors & Controls<br />

• A.I./robotics<br />

• Dedicated<br />

short-range comm<br />

• GPS<br />

• Next-gen wireless<br />

• Intelligent software<br />

assistants<br />

• High capacity/<br />

resolution video<br />

• Digital imaging<br />

• Infrared sensing<br />

• Driver behavior<br />

analysis<br />

• Ergonomics/<br />

anthropometrics<br />

• Biological machines<br />

• Nanotechnology<br />

• Meta-materials<br />

key challenge that lies ahead is how<br />

to identify, evaluate, test, adapt, and<br />

implement such new technologies in a<br />

cost-effective manner and time frame<br />

relevant to meeting the new demands<br />

of sustainability.<br />

External technology transfer<br />

Technology is not an automatic<br />

process that takes place within the<br />

normal dynamics of either the surface<br />

transportation infrastructure or vehicle<br />

systems industries. Useful transfer,<br />

especially across sector boundaries,<br />

must be an intentional process tailored<br />

to its destination and must take place<br />

with that ultimate context in mind.<br />

The transportation sector, both<br />

public and private, has longstanding<br />

mechanisms for the internal<br />

incremental development and transfer<br />

of technology. In the private sector,<br />

the competitive vehicle original<br />

equipment industry has its own<br />

research laboratories, as well as outside<br />

contract research. In the public sector,<br />

there is modest research effort, internal<br />

to both federal and state agencies and<br />

university-based. With few exceptions,<br />

these efforts focus largely on adapting<br />

and commercializing slow advances in<br />

technologies substantially developed<br />

within the industries themselves.<br />

Organized contact with advancing<br />

technologies in other sectors is minimal.<br />

This framework reflects the unique<br />

characteristics of the transportation<br />

sector: the long life of vehicles and<br />

infrastructure; the separation of the<br />

public and private sectors; the lack of<br />

modal integration; the lack of clear<br />

“markets” for new products and<br />

services; and fragmented ownership<br />

and operational responsibilities. Even<br />

where there may be awareness, the<br />

financial and institutional capacity<br />

of both these industries has been<br />

substantially weakened by other factors<br />

such as the inability to retain technical<br />

capacity, funding constraints, and the<br />

fragmented nature of the industries.<br />

At present, surface transportation lacks<br />

organized sector-wide structure and<br />

processes to identify, assess, shape,<br />

and adopt technologies from outside<br />

the sector, especially those that may<br />

still be in early stages of development<br />

but may have substantial potential<br />

to contribute to transportation<br />

system performance objectives across<br />

all surface transportation modes.<br />

There is no systematic institutional<br />

structure and process to target<br />

promising technologies and manage<br />

their development, adaptation, and<br />

integration into surface transportation.<br />

Institutional framework for<br />

technology transfer<br />

Within surface transportation, a new<br />

and more formal technology transfer<br />

process is needed if the focus is to<br />

effectively deal with technology “not<br />

invented here” – from outside the<br />

existing transportation research arena.<br />

The identification of barriers to be<br />

overcome by a proposed approach for<br />

an efficient technology transfer process<br />

depends on a clear understanding of<br />

the steps in technology development,<br />

transfer, and adaptation/adoption<br />

process. This process must be<br />

established to effectively deal with each<br />

stage of the process involved regarding<br />

technologies from outside the sector.<br />

The key stages include:<br />

19


EFR Vol. 3 • Issue 2<br />

• Research and development – especially<br />

systematic detection of external<br />

technology opportunities related to<br />

acknowledged performance needs in<br />

transportation<br />

• Evaluation and Testing – dealing with<br />

the support of and relationships with<br />

testing and analysis entities and the<br />

issues of sponsorship, ownership,<br />

intellectual property<br />

• Adaptation – including sponsorship,<br />

relationships to sectoral standards,<br />

impact analysis<br />

• Adoption/Implementation – focused<br />

on commercialization and<br />

dissemination approaches, publicprivate<br />

partnerships, implementation<br />

mechanisms and feedback<br />

Technology transfer in<br />

transportation sector – current<br />

state of play<br />

Institutions are key to bridging the<br />

gap between performance objectives,<br />

relevant technological trends, and<br />

the development of an appropriate<br />

process for identifying, assessing,<br />

shaping, and adopting innovative<br />

technologies. There is no existing<br />

standard best practice model for<br />

process and institutional arrangements<br />

across all required steps in the<br />

technology identification-transferadaptation/adoption<br />

process. One<br />

key feature of a desired future surface<br />

transportation technology transfer<br />

process is its responsiveness to<br />

public policy in shaping the overall<br />

objectives. Communication across the<br />

institutional boundaries between basic<br />

research, emerging technology testing,<br />

performance analysis, and technology<br />

adaptation/adoption are also essential<br />

features. In addition, the process<br />

must be practical. Therefore, special<br />

attention must be given to the realism<br />

and practicality of the process. There<br />

are a range of current mechanisms<br />

that relate to technology transfer in the<br />

surface transportation sector. It should<br />

be noted that most of the focus relates<br />

to adaptation and applications of<br />

already well-understood technologies.<br />

Key features of these mechanisms<br />

include:<br />

State-level programs<br />

State DOTs and other transportation<br />

agencies, often acting through<br />

AASHTO, APTA, and ARA committee<br />

processes, and with U.S. DOT and TRB<br />

support, have a variety of programs<br />

that involve technology adaptation and<br />

applications, including their support of<br />

the NHCRP, SHRP2 and the University<br />

Transportation Centers programs<br />

(UTCs), the LTAP/TTAP processes,<br />

peer and lead state programs, and<br />

programs of major authorities and<br />

state DOT coalitions. On average, state<br />

DOTs have neither the staff capacity<br />

nor inclination to adopt unproven<br />

technologies and innovations, and<br />

there is an understandable aversion to<br />

risk and severe financial constraints<br />

as well. UTCs conduct a wide range<br />

of research, often in response to state<br />

interests, but the focus tends to be<br />

on the applied. A few of the larger<br />

university affiliated entities conduct<br />

a wide range of research, often with<br />

industry partners, some of which goes<br />

beyond applications. In addition, there<br />

are other non-transportation state<br />

agencies with technology incubation<br />

and transfer functions—typically<br />

within state commerce and economic<br />

development entities—and highly<br />

oriented to supporting the private<br />

sector.<br />

U.S. DOT<br />

All of the surface modal<br />

administrations (FHWA, FTA, FRA,<br />

RITA, NHTSA) have some research and<br />

technology transfer activities reflective<br />

of the size of their program. With<br />

RITA coordination, and the efforts of<br />

FHWA (TFHRC) and NHTSA, there<br />

have been important contributions in<br />

technology adaptation and proof-ofconcept<br />

in areas of ITS, pavements,<br />

asset management, crash-avoidance,<br />

and other key areas through several<br />

key program efforts such as UTC<br />

research, SHRP2, the IntelliDrive (VII)<br />

program, and other ITS and NHTSA<br />

research activities. Research Strategic<br />

Plans have been developed for U.S.<br />

DOT, RITA, and modal agencies that<br />

target purposes and expected outcomes<br />

and benefit from TRB Research and<br />

Technology Coordinating Committee<br />

(RTCC) oversight. However, the<br />

longer-term research effort is confined<br />

to relatively small programs, such as<br />

the Exploratory Advanced Research<br />

Program (EARP), that represent less<br />

than 10 percent of total DOT-supported<br />

research, and occasional assignments<br />

contracted to federal laboratories, such<br />

as the Oak Ridge National Laboratory<br />

(ORNL).<br />

The Chevy Volt can travel up to 40 miles on a single charge; a case where private sector is developing<br />

technologies in anticipation of public sector regulations<br />

minuk<br />

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Vol. 3 • Issue 2<br />

Technology Transfer for Future Surface Transportation<br />

Federal regulatory actions impacting<br />

technology<br />

In addition to the direct technologyoriented<br />

activities of U.S. DOT, other<br />

federal actions can have a dramatic<br />

impact on the rate of technology<br />

development. These include support of<br />

standards development by both private<br />

standards development organizations<br />

(SDO) and state DOTs, and regulation<br />

of safety, health, environmental<br />

issues, and occupant protection. The<br />

recent U.S. DOT policy emphasis on<br />

performance measurement is another<br />

type of influence that can drive an<br />

interest in technological change.<br />

Transportation research conducted at Argonne National Laboratory<br />

Argonne National Laboratory<br />

Transportation private sector (vehicles,<br />

infrastructure, systems and services)<br />

Private sector technology transfer<br />

within the automotive and energy<br />

industries are heavily weighted to<br />

applying new technology directly.<br />

Some of the technology focus<br />

related to public policy objectives<br />

is conducted under cooperative<br />

research arrangements via the auto<br />

industry consortium, i.e. U.S. Car,<br />

and include the PNGV and Advanced<br />

Battery Consortium. The potential<br />

for revenue-producing customer<br />

services has spurred a wide range<br />

of communication and traveler<br />

information services applications.<br />

The current uncertain status of the<br />

U.S. vehicle industry and the gradual<br />

consolidation in construction and<br />

materials industries may indicate<br />

either future threats or opportunities to<br />

private sector research<br />

Public-private partnerships<br />

Many of the government-sponsored<br />

technology transfer activities<br />

described above have institutionalized<br />

government/research entity partnership<br />

aspects, varying with regard to the<br />

phase of technology transfer. U.S. DOT,<br />

through RITA and NHTSA, has both<br />

contract and cooperative approaches<br />

to taking emerging technologies<br />

and embedding them on workable<br />

platforms for demonstration. Most<br />

notable among these have been the<br />

attempts via the UMTA TransBus,<br />

the FHWA Automated Highway<br />

Consortium, and the RITA VII<br />

consortium.<br />

International experience in the<br />

transportation sector<br />

Japan and the European Union have<br />

high levels of investment in organized<br />

technology transfer process that<br />

approximate those used in the more<br />

technology-oriented sectors in the U.S.<br />

Research is more consistently goaldriven<br />

and on a top-down basis with<br />

close government-industry cooperation<br />

at a further upstream point than is<br />

the U.S. convention. There are also<br />

highly institutionalized processes for<br />

intellectual property protection.<br />

Institutional barriers to<br />

implementation of technology<br />

solutions<br />

A comparison of the necessary<br />

stages in technology transfer, as<br />

described above with the current<br />

arrangements, suggests some key<br />

challenges. The specific requirements<br />

of any institutionalized process for<br />

technology identification and adoption<br />

will vary with the type of technology,<br />

its industry, its current development<br />

state, and its adopting institution.<br />

As suggested above, the existing<br />

approaches in surface transportation<br />

have limited capacities for the key<br />

steps in technology transfer from<br />

outside the sector as their historical<br />

focus has been on adaptation and<br />

deployment. In addition, there are<br />

several key institutional characteristics<br />

that shape the responsiveness of the<br />

surface transportation sector to new<br />

technologies and approaches. These<br />

limitations include:<br />

• Fragmentation of a large number of<br />

independent units both in the public<br />

sector and in the private sector<br />

• Institutional culture within public<br />

agencies dominated by long-life<br />

systems with modest incentives and<br />

financial capacity for change<br />

• Limited resources of investment<br />

capital in the public and private<br />

sectors and a shortage of technologyknowledgeable<br />

personnel<br />

• Limited customer feedback and<br />

stakeholder involvement with regard to<br />

emerging tastes, needs, and interests<br />

• Legacy systems that “monopolize”<br />

technology (e.g. transit or taxis)<br />

and discourage introduction of new<br />

services and systems (e.g. demandresponsive<br />

transit and car sharing)<br />

• Regulatory uncertainties regarding the<br />

future application of environmental/<br />

energy performance standards<br />

related to emissions and other factors<br />

• Risk aversion related to significant<br />

investments with uncertain payoffs<br />

• Lack of sustainable legislative support<br />

from both Congress and state<br />

legislatures<br />

21


EFR Vol. 3 • Issue 2<br />

Complicating the formation of a<br />

national process is the impact of current<br />

events: the automotive industry is<br />

currently in a state of unprecedented<br />

reorganization, and the public sector<br />

infrastructure industry is struggling to<br />

achieve an adequate funding base.<br />

Moving forward, therefore, requires<br />

a carefully thought out approach that<br />

can cope with both the challenges<br />

and the opportunities of the future.<br />

Given the importance of incorporating<br />

new technology to key public policy<br />

objectives, and the limited scope of the<br />

existing institutional arrangements,<br />

a new national framework is needed;<br />

one that can integrate stakeholders and<br />

processes across the industry while<br />

adapting to the unique attributes of<br />

individual organizations is essential for<br />

the evolution of transportation service.<br />

Technology transfer history in<br />

other relevant sectors<br />

The current nascent state of technology<br />

transfer in much of the surface<br />

transportation sector and focus on the<br />

longer-term and emerging technologies<br />

suggests that there may be important<br />

lessons to be learned in other sectors.<br />

Some of these other sectors have welldeveloped<br />

institutional arrangements<br />

for each of the stages in the technology<br />

transfer process that are substantially<br />

adapted to dealing with both new and<br />

external technology transfer. Some key<br />

observations include:<br />

Energy, aerospace, defense and<br />

commerce<br />

Most advanced research in the U.S. is<br />

conducted in three kinds of centers:<br />

government labs, industrial labs and<br />

universities. Several other sectors<br />

with advanced technology interests<br />

have evolved a set of institutional<br />

and process practices from which<br />

the transportation sector can profit.<br />

These include the U.S. ACOE, whose<br />

programs impact inland waterways,<br />

as well as non-transportation entities<br />

such as NSF, DOD, NASA, DOE,<br />

NIH, and DOC, which are supported<br />

through both university research and<br />

the expensive network of federal labs<br />

– with significant federal funding and<br />

formal technology transfer programs,<br />

partnerships agreements, and activities.<br />

These sectors have developed a series<br />

of tools such as: Cooperative Research<br />

and Development Agreements<br />

(CRADAs), “spin-out” and “spin-in”<br />

mechanisms for commercialization,<br />

technology incubators, competitions<br />

and awards programs, and wellorganized<br />

approaches to intellectual<br />

property and royalties.<br />

Industrial labs<br />

Some private sectors support advanced<br />

technology research centers – especially<br />

in advanced defense, communications,<br />

and information systems, such as<br />

Telcordia, Xerox PARC, and GE labs.<br />

Private entities have also formed precompetitive<br />

research consortia (not all<br />

successful) including MCC, SEMATEC,<br />

and others.<br />

Biomedical research<br />

In this sector, there is an increasingly<br />

managed approach to bridging the gap<br />

between research and user/commercial<br />

application. It possesses both crossdisciplinary<br />

and inter-institutional<br />

dimensions. The public health stakes<br />

and commercial opportunities have<br />

led to a set of organized conventions<br />

that link basic research directly with<br />

clinical investigation and trials for the<br />

efficacy, safety, and commercialization<br />

of key therapies. This process is<br />

highly organized with the aggressive<br />

engagement of pharmaceutical<br />

companies, significant research entity<br />

management, and a range of legal<br />

and financial investment practices<br />

designed to protect and encourage the<br />

biomedical research community. The<br />

NIH has an Office of Translational<br />

Research that supports this process,<br />

where the flow of knowledge can move<br />

in both directions between research<br />

and applications experience. Significant<br />

financial stakes have led to the<br />

institutionalization of variants of this<br />

process throughout the industry.<br />

mightyohm<br />

Biomedical research employs an increasingly<br />

managed approach to bridging the gap between<br />

research and user/commercial application<br />

Key lessons from the<br />

conventions of other sectors<br />

The comparison with practices in<br />

other sectors highlights several key<br />

differences between these sectors and<br />

surface transportation. For example<br />

these sectors have processes and<br />

relationships that can accomplish the<br />

following:<br />

• Needs targeting and advanced<br />

technology detection through<br />

organized research on industry<br />

communications<br />

• Legal mechanisms to protect<br />

intellectual property and patents<br />

and to manage the apportionment of<br />

licenses, royalties and fees<br />

• Legal accommodation of precompetitive<br />

collaboration<br />

• Financial incentives, competitions,<br />

awards and prizes<br />

• Industry-specific commercialization<br />

strategies<br />

• Formal researcher-industry<br />

partnerships<br />

• Active venture capital and university<br />

seed capital<br />

• Strong government funding<br />

• Aggressive spin-off, spin-in<br />

technology transfer arrangements<br />

• Specific organizations and staff<br />

within each party to support T2<br />

activities<br />

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Vol. 3 • Issue 2<br />

Technology Transfer for Future Surface Transportation<br />

These characteristics suggest some<br />

important future directions for surface<br />

transportation.<br />

Development of a new<br />

technology transfer process for<br />

surface transportation<br />

The experience of other sectors<br />

suggests an organized structure for<br />

institutionalization of an effective<br />

technology transfer process. Each<br />

stage of a process capable of external<br />

technology transfer requires a set of<br />

process and institutional capabilities<br />

and partnerships. The absence of<br />

a key step can substantially affect<br />

the likelihood, time, and cost of<br />

bringing a given innovation forward<br />

to implementation. Given the range<br />

of barriers to be overcome, any<br />

process must be comprised of a set<br />

of components: responsibilities,<br />

procedures, relationships, and<br />

resources. This is needed to provide<br />

both key steps in technology transfer<br />

for each of the stages and identified<br />

key barriers for each step. That<br />

material can be used as the basis for<br />

the initial identification of process<br />

components. As shown below, the<br />

process components can be described<br />

and related to their functions across the<br />

range of technology transfer activities<br />

and to the entities likely to be involved.<br />

Stakeholders<br />

U.S. DOT & Agencies<br />

Other Federal<br />

Agencies and Offices<br />

Associations:<br />

• State/local govt’s<br />

• Industry<br />

Research Entities:<br />

• Federal<br />

• University<br />

Private Sector:<br />

• Automotive<br />

• Infrastructure<br />

• Services<br />

Process Components<br />

Long-range Strategic Plan<br />

Technology Transfer Entity<br />

Legal Guidelines<br />

Scanning Process<br />

Policy Validation<br />

Sustainable Funding<br />

Public Information<br />

Program Coordination<br />

Public/Private Cooperation<br />

Incentives<br />

Key components of a technology transfer process<br />

Congressional Relationships<br />

Building on the existing<br />

processes, entities, and<br />

relationships in place<br />

There is no existing model that<br />

addresses the complete range of<br />

technologies, sectors, entities, and<br />

potential functional components<br />

that might effectively overcome the<br />

barriers. However, key elements<br />

of a comprehensive approach are<br />

apparent and may be combined<br />

into alternative models. There are<br />

already several activities in place<br />

that provide some of the needed<br />

function. The current activities of<br />

RITA and FHWA provide a strong<br />

foundation for technology adaptation<br />

and processes internal to FHWA, and<br />

NHTSA provides important technology<br />

adoption functions. Additionally,<br />

the department-lab relationships<br />

within DOE may provide the basis<br />

for expansion more directly into<br />

surface transportation. The legal and<br />

managerial experience in translational<br />

research may also be useful in areas<br />

dealing directly with the private sector.<br />

Strategies to mitigate barriers<br />

Given the range of barriers to be<br />

overcome, any process must be<br />

comprised of a set of components:<br />

responsibilities, procedures,<br />

relationships, and resources. This is<br />

Technology Transfer Stages<br />

1 Research &<br />

Development<br />

2 Evaluation &<br />

Testing<br />

3 Adaptation<br />

4 Adoption/<br />

Implementation<br />

needed to provide both key steps in<br />

technology transfer for each of the<br />

stages and identified key barriers for<br />

each step. That material can be used as<br />

the basis for the initial identification of<br />

process components. Key components<br />

of such an initiative would include:<br />

• A long-range strategy plan at the<br />

sector level (25 years)<br />

• Development of an interagency<br />

technology transfer function<br />

• Establishment of clear legal<br />

guidelines<br />

• A performance-driven technology<br />

scanning process<br />

• Policy validation of a new<br />

performance-based research and<br />

technology transfer missions<br />

• Sustainable funding through<br />

legislative support<br />

• Mechanism for public information<br />

and accountability<br />

• Coordination among federal aid<br />

programs<br />

• Development of improved forms of<br />

public private cooperation<br />

• Application of the complete range of<br />

incentives<br />

• Improved Congressional<br />

relationships<br />

Alternative process model<br />

dimensions<br />

Alternative models can be composed<br />

for an improved technology process<br />

in the surface transportation sector<br />

that differ in scope, intensity and<br />

sponsorship. The options can vary<br />

along several key dimensions<br />

including: performance and technology<br />

focus, staging, functional scope, and<br />

institutional leadership. Existing<br />

experience noted beforehand, in both<br />

in transportation and other sectors,<br />

suggests a range of options. These<br />

options might be implemented in<br />

whole or part and combined to<br />

comprise alternative approaches.<br />

Enhanced business-as-usual based on<br />

an extension of current arrangements<br />

and roles of the U.S. DOT (FHWA<br />

and the TFHRC, FTA, RITA and the<br />

23


EFR Vol. 3 • Issue 2<br />

Volpe Center, the UTC program, TRB,<br />

AASHTO and other current research<br />

initiatives).<br />

New process regulations and technical<br />

support focused on specific barriers<br />

to effective performance-based<br />

technology transfer such as the Office<br />

of Translational Research at NIH and<br />

using tools such as CREDAs.<br />

Separate performance platform-specific<br />

consortium initiatives with tailored publicprivate<br />

partnerships building on the<br />

experience of the Automated Vehicle-<br />

Highway (AHS) Consortium, the<br />

Vehicle-Infrastructure Integration (VII)<br />

consortium, the Partnership for a New<br />

Generation of Vehicles (PNGV), and the<br />

Advanced Battery Consortium.<br />

New U.S. DOT technology transfer<br />

agency on a multimodal basis focused<br />

on overcoming information and legal<br />

barriers such as the DOE Office of<br />

Technology Transfer with its federal<br />

laboratory relationships.<br />

Legislated federal interdepartmental entity<br />

with federal-state involvement including<br />

interdepartmental involvement such<br />

as the U.S. DOT-HUD Sustainable<br />

Communities Partnership initiative.<br />

New public-private corporations for<br />

technology transfer chartered by<br />

Congress and based on the Federal<br />

Government Corporation model such<br />

as TVA and COMSAT.<br />

Closing<br />

Presently, surface transportation<br />

lacks an organized sector-wide<br />

process to nurture the development<br />

of a technology transfer process<br />

from outside the sector and that<br />

contributes to transportation system<br />

performance objectives across all<br />

surface transportation modes. There<br />

are useful lessons to be learned from<br />

other sectors that might be adapted<br />

in the development of a set of new<br />

institutional arrangements for surface<br />

transportation. This article sets out<br />

the major challenges and suggests an<br />

approach to developing technology<br />

transfer mechanisms.<br />

The most important component of<br />

an enhanced technology transfer<br />

process for the surface transportation<br />

sector will be sustainable leadership<br />

consistent with the broad scope<br />

and long time frame involved.<br />

Institutionalizing the broadest<br />

Author:<br />

Argonne National Laboratory<br />

Argonne National Laboratory is one of the largest DOE research centers. The laboratory conducts a<br />

variety of research, including for surface transportation.<br />

possible scope of technology transfer<br />

requires a high level of organizational<br />

commitment on a sustainable basis.<br />

The implications of this requirement<br />

are a national initiative with strong<br />

congressional policy and financial<br />

support and a program structure<br />

appropriately involving all key<br />

stakeholders, both public and<br />

private. •<br />

Steve Lockwood is a senior vice president with over 35 years of industry<br />

experience. He provides senior level direction on innovative approaches<br />

to policy, finance, project, and program development related to systems<br />

operations and management and ITS, with a special emphasis on publicprivate<br />

partnerships, innovative finance and deployment, and other<br />

institutional issues.<br />

Transportation Engineering Studies, University of Pennsylvania;<br />

M.S., University of Pennsylvania;<br />

M.Arch, Harvard University;<br />

B.A., Harvard College<br />

lockwoods@pbworld.com<br />

24


Vol. 3 • Issue 2 Performance Management: Emerging Market Opportunity?<br />

Performance Management: Emerging Market Opportunity?<br />

Irargerich<br />

by<br />

Wayne McDaniel<br />

“This is not business as usual. The<br />

American public has every right to see what<br />

they will get for increased transportation<br />

investment. We have to be accountable and<br />

we have to move to a performance-based<br />

program focused on national goals. That’s<br />

where state transportation leaders want to<br />

go.” Allen Biehler, AASHTO President<br />

PERFORMANCE management<br />

is clearly a hot topic in U.S.<br />

transportation circles. The<br />

key drivers for the current high level<br />

of interest and PB’s response to this<br />

market opportunity are described in<br />

this article. It closes with a cautionary<br />

lesson from the past.<br />

Federal legislation<br />

The Surface Transportation<br />

Authorization Act of 2009 (popularly<br />

known as the Oberstar Bill) currently<br />

under consideration in the House<br />

features the establishment of<br />

performance metrics in each of the<br />

major program areas. Further, in a<br />

dramatic departure from the traditional<br />

formula-driven approach to most<br />

federal transportation (especially<br />

highway) programs, it makes funding<br />

contingent upon the establishment<br />

and achievement of performancedriven<br />

funding plans by recipients.<br />

The Oberstar Bill uses the terms<br />

“performance target” or “performance<br />

measure” 95 times (as compared with<br />

eight references in the predecessor<br />

legislation, SAFETEA-LU). Companion<br />

legislation has not yet been introduced<br />

in the Senate, but discussions with<br />

Senate staffers indicate that Senators,<br />

both Democrat and Republican, are<br />

thinking along very similar lines.<br />

And the Administration has the<br />

same mindset, as exemplified by the<br />

many performance-related criteria it<br />

established for the discretionary grant<br />

programs authorized in the American<br />

Recovery and Reinvestment Act of<br />

2009.<br />

The Oberstar Bill’s overall approach is<br />

to add a performance metric for each of<br />

the major programs (Freight, Highway<br />

Safety, Critical Assets, Metropolitan<br />

Mobility and Access, Statewide<br />

and Metropolitan Planning, among<br />

others) to focus attention on these<br />

respective program’s most important<br />

objectives and to increase transparency.<br />

However, this metric is an additional<br />

program overlaid on top of existing<br />

rules, regulations, and reporting<br />

requirements. It could be argued that<br />

truly transformational legislation<br />

would replace existing requirements<br />

with performance-based management,<br />

rather than supplementing these<br />

requirements. This would allow<br />

federal fund recipients greater<br />

latitude to devise their own solutions<br />

to transportation issues and be held<br />

accountable for the results.<br />

National commissions<br />

Congressional interest in this topic<br />

was preceded by reports from two<br />

national commissions, each of which<br />

recommended increased emphasis<br />

on performance management. The<br />

National Surface Transportation Policy<br />

and Revenue Study Commission<br />

called for “Federal funding that is<br />

performance-based and focused<br />

on cost-beneficial outcomes with<br />

accountability for the full range of<br />

economic, environmental, and social<br />

costs and benefits of investments.”<br />

Similarly, the National Surface<br />

Transportation Infrastructure Financing<br />

Commission found that “The current<br />

funding allocation construct does not<br />

place adequate emphasis on directing<br />

funds to improve system performance<br />

or on holding funding recipients<br />

accountable for real outcomes” and<br />

viewed “greater emphasis on moving<br />

to a more performance-based system as<br />

critical.”<br />

25


EFR Vol. 3 • Issue 2<br />

Both of these commissions were<br />

charged by Congress with exploring<br />

methods to increase transportation<br />

funding and both clearly recognized<br />

that funding proposals needed to be<br />

accompanied by reforms to improve<br />

performance and accountability in<br />

order to be tenable.<br />

AASHTO and its member<br />

departments<br />

Even the American Association of<br />

State Highway and Transportation<br />

Officials (AASHTO) has climbed on<br />

this wagon, as demonstrated by the<br />

quote from a speech delivered by<br />

PennDOT Secretary Allen Biehler<br />

as he took up the reins as AASHTO<br />

President in 2008. That statement<br />

was considered remarkable since the<br />

traditional AASHTO position resisted<br />

the notion of any kind of program that<br />

could be used to compare the relative<br />

performance of the states against a<br />

national standard. The often-stated<br />

view was that each state was unique in<br />

terms of differing conditions, funding<br />

and objectives, thus making meaningful<br />

comparisons impossible. More recently,<br />

AASHTO’s October 2009 resolution<br />

regarding the authorization of federal<br />

highway and transit programs<br />

included:<br />

“National objectives and performance<br />

measures should be developed<br />

collaboratively by the U.S. DOT<br />

and State DOTs to bring focus and<br />

accountability for results to the<br />

program. To further that goal the<br />

legislation should authorize a statedriven<br />

performance management<br />

process to establish targets through<br />

which each state does its part to achieve<br />

national objectives.”<br />

To reiterate, this represents a dramatic<br />

departure from the traditional<br />

position of AASHTO and its member<br />

departments. However, special<br />

attention should be paid to the<br />

phrase “state-driven”. That’s a key<br />

consideration for AASHTO and its<br />

members, both now and in the past.<br />

Minutes<br />

35<br />

30<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

30.0<br />

16.1<br />

3.8<br />

J a n.<br />

Average Time to Clear Traffic Backup From Incident<br />

St. Louis<br />

23.6<br />

16.6<br />

4.0<br />

F e b.<br />

March<br />

20.5<br />

16.5<br />

6.3<br />

13.5<br />

12.4<br />

5.0<br />

Apri l<br />

21.1<br />

4.9<br />

11.0<br />

4.9<br />

The organization has now established<br />

a Standing Committee of Performance<br />

Management to provide structure for<br />

its continued activity on this topic. The<br />

committee is led by two of AASHTO’s<br />

more proactive members (Missouri<br />

DOT Director Pete Rahn as Chair and<br />

Michigan DOT Director Kirk Steudle as<br />

Vice Chair) and has established eight<br />

task forces.<br />

As is typically the case, some State<br />

DOTs are further along the curve in<br />

developing proficiency with a new<br />

management tool than others. Three of<br />

the leaders are Minnesota, Missouri,<br />

and Washington. MnDOT’s Annual<br />

Transportation Performance Report<br />

(located at http://www.dot.state.<br />

mn.us/measures/performancereports.<br />

html) has been in place since the<br />

1980s and features a Scorecard that<br />

measures the agency’s performance<br />

in 16 policy areas, comparing targets<br />

versus actual, and providing a fiveyear<br />

trend analysis. For example,<br />

MnDOT has a bare lane target after<br />

winter storms end that varies by<br />

traffic volume category (zero to three<br />

hours for super commuter routes).<br />

The Scorecard reports a target of<br />

greater than 70 percent, actual 2008<br />

results of 75 percent, and a five-year<br />

trend analysis indicating gradually<br />

improving performance until December<br />

May<br />

9.2<br />

J une<br />

8.6<br />

17.6<br />

14.7<br />

5.4<br />

J uly<br />

19.0<br />

14.6<br />

4.3<br />

Aug .<br />

Calendar Month<br />

One of the 117 performance measures published in MoDOT’s Tracker report<br />

17.7<br />

9.8<br />

5.3<br />

Sep t.<br />

13.0<br />

Oc t.<br />

6.1<br />

Nov.<br />

13.2 12.6<br />

7.4<br />

Dec.<br />

2009<br />

2008<br />

2007<br />

DESIRED<br />

TREND<br />

‘08/January ‘09 when frequent, heavy<br />

snowfalls and extreme cold conditions<br />

retarded the effectiveness of chemicals.<br />

MoDOT publishes Tracker (available<br />

at http://www.modot.mo.gov/about/<br />

general_info/Tracker.htm), a monthly<br />

report built around 18 “Tangible<br />

Results” (example: Uninterrupted<br />

Traffic Flow). The assessment on<br />

achievement of these results is<br />

supported by 117 performance<br />

measures (example above: Average<br />

Time to Clear Traffic Incident) reported<br />

each and every month. Each result<br />

and measure has a Driver who is<br />

individually identified in the report<br />

and is accountable for performance.<br />

WSDOT publishes The Gray Notebook<br />

(located at http://www.wsdot.wa.gov/<br />

accountability/graynotebook/default.<br />

htm), a quarterly performance report<br />

with extensive information on virtually<br />

all aspects of the Department’s<br />

activities. It includes a Performance<br />

Dashboard which serves a similar<br />

purpose as MnDOT’s Scorecard.<br />

WSDOT has placed great emphasis<br />

on using the Gray Notebook and<br />

related documents to report its ability<br />

to meet commitments and improve<br />

performance, thereby building<br />

credibility with the legislature, media,<br />

and the general public. The Department<br />

secured major revenue increases in 2003<br />

5.3<br />

source: MoDOT<br />

26


Vol. 3 • Issue 2 Performance Management: Emerging Market Opportunity?<br />

and 2005 and this new-found credibility<br />

was a primary factor in receiving and<br />

keeping the increased funding. The<br />

Gray Notebook was initially conceived<br />

by former Transportation Secretary<br />

Doug MacDonald. It has now passed<br />

one institutional test by continuing to<br />

be a key Department document during<br />

the tenure of his successor, Secretary<br />

Paula Hammond.<br />

PB service offering<br />

Cognizant of these developments,<br />

<strong>Parsons</strong> <strong>Brinckerhoff</strong> is honing<br />

its performance management<br />

qualifications, building upon highlyrelated<br />

work conducted over the<br />

past decade. This previous and<br />

ongoing experience includes Howard<br />

Wood’s creation of performancedriven<br />

pavement and bridge<br />

programs while at Ohio DOT; a<br />

series of asset management-related<br />

research projects conducted for the<br />

Transportation Research Board (asset<br />

management was a precursor to the<br />

current emphasis on performance<br />

management and embodies most of the<br />

same principles); asset management<br />

programs in Ontario, Canada, the<br />

United Kingdom, Utah, and Virginia;<br />

and current projects for the Federal<br />

Highway Administration to develop<br />

an implementation framework for<br />

a performance-based federal-aid<br />

highway program.<br />

A cautionary note<br />

Thus, there is much to be excited about<br />

with the current focus on performance<br />

management. However, for those<br />

blessed (burdened?) with lengthy<br />

experience in transportation policy<br />

and management much of the recent<br />

discussion is hauntingly familiar. In<br />

the late 1980s there was a similar burst<br />

of interest and activity in increasing<br />

the degree of sophistication in the<br />

management of state transportation<br />

agencies and this found expression in<br />

the Intermodal Surface Transportation<br />

Efficiency Act of 1991 (ISTEA). Among<br />

ISTEA’s many innovative provisions<br />

was a requirement for states to establish<br />

management information systems to set<br />

priorities for transportation projects in<br />

six areas - highway pavement, bridges,<br />

highway safety, traffic congestion,<br />

public transportation facilities<br />

and equipment, and intermodal<br />

transportation facilities and systems.<br />

The theory was that management<br />

systems would be designed to help<br />

states address transportation needs<br />

from a technical standpoint so that<br />

decisions would not be purely<br />

politically driven.<br />

Before ISTEA, many states had in<br />

place some management system<br />

elements, particularly for highway<br />

pavements and bridges, but for other<br />

states, this represented a departure,<br />

a new way of operating. However,<br />

for all states these new requirements<br />

quickly became decidedly unpopular<br />

because they were viewed as unfunded<br />

federal mandates. And this was the<br />

view of even those states that were<br />

well advanced in the development of<br />

management systems – they wanted to<br />

implement these systems as a means to<br />

improve decision-making and program<br />

performance, not because they were<br />

being forced to do so by the federal<br />

government.<br />

In the ensuing controversy, the<br />

requirements for these systems were<br />

initially modified and deadlines<br />

extended and then, one by one,<br />

deleted. In the end, none survived<br />

and management system advocates<br />

were forced to conclude that the<br />

movement had actually been set back<br />

by the federal mandate. One can only<br />

hope that lessons have been learned<br />

from this experience and that the next<br />

round will exhibit a greater degree<br />

of sensitivity to states’ concerns and<br />

a spirit of partnership designed to<br />

engender rather than undercut<br />

support. •<br />

PB’s approach to performance<br />

management is oriented to key goal<br />

areas such as:<br />

• Assure System Safety & Security<br />

• Increase Mobility/Reduce Congestion<br />

• Promote (Support) Economic<br />

Development<br />

• Promote effective Infrastructure<br />

Asset Management/Preservation<br />

Investments<br />

• Assure Environmental Protection<br />

• Streamline Project Delivery<br />

• Improve Energy Management and<br />

Carbon Footprint Reduction<br />

Author:<br />

Wayne McDaniel is a principal consultant with over 38 years<br />

transportation experience, both public and private sector. He has extensive<br />

experience in asset management, a field that is now transitioning to<br />

performance management. He currently manages two major on-call<br />

consulting services contracts with Maryland agencies.<br />

M.A., University of California at Los Angeles;<br />

B.A., University of California at Los Angeles<br />

mcdaniel@pbworld.com<br />

27


EFR Vol. 3 • Issue 2<br />

Fuel Prices and the U.S. Freight Rail Industry<br />

Max Wolfe<br />

by<br />

Dr. Ira Hirschman<br />

AMERICA’S freight railroads<br />

have undergone resurgence<br />

over the last two decades. Rail<br />

shipping volumes grew to a record in<br />

2006, Class I railroad equities earnings<br />

have grown significantly, and rail<br />

productivity has improved. While<br />

the current economic recession has<br />

substantially lowered rail volumes,<br />

there will be recovery at some point,<br />

and volumes will recover too, albeit at<br />

a lowered expansion path. However,<br />

the bottom line success of the major<br />

freight railroads, which are exclusively<br />

diesel powered, may be more seriously<br />

threatened by the specter of continued<br />

and rapid escalation of oil prices, the<br />

major (but not the only) determinant of<br />

diesel fuel prices. Indeed, the threat to<br />

some regional and short line railroads<br />

is even greater, as these companies<br />

operate on slim to virtually zero<br />

margins. This article discusses some<br />

of the types of impacts to the nation’s<br />

freight railroads that may be expected<br />

over time as oil prices climb, both<br />

steadily and as price spikes periodically<br />

occur.<br />

Oil price increases<br />

The figure below, from the U.S.<br />

Department of Energy Office of Energy<br />

Information, charts nominal and real<br />

diesel fuel prices since 1980. Until<br />

about 2000, real diesel prices actually<br />

fell; after 2002, both nominal and real<br />

prices increased steadily, as inflation<br />

was low. As everyone knows, the floor<br />

fell out on fuel prices at the end of 2008,<br />

although price levels have “recovered”<br />

(from the producers’ perspective) a<br />

good deal since then.<br />

Over time, oil and fuel prices, including<br />

diesel fuel, can be expected to grow at<br />

increasingly faster rates, as world oil<br />

supplies dwindle and as world demand<br />

Cents per Gallon<br />

500<br />

450<br />

400<br />

350<br />

300<br />

250<br />

200<br />

150<br />

100<br />

50<br />

0<br />

Nominal<br />

Real<br />

increases. China’s economic growth, as<br />

well as growth of the other emerging<br />

economies of India, Russia, and<br />

Brazil, will drive this pace toward and<br />

—eventually—beyond a global tipping<br />

point. The notion of a tipping point<br />

has been best articulated in the wellknown<br />

“Hirsch” report, commissioned<br />

by the U.S. Department of Energy<br />

(DOE) . In that report, the authors<br />

note that “…the peaking of world oil<br />

production presents the U.S. and the<br />

world with an unprecedented risk<br />

management problem. As peaking is<br />

approached, liquid fuel prices and price<br />

volatility will increase dramatically,<br />

and, without timely mitigation, the<br />

economic, social, and political costs will<br />

Projections<br />

Jan-80<br />

Jan-82<br />

Jan-84<br />

Jan-86<br />

Jan-88<br />

Jan-90<br />

Jan-92<br />

Jan-94<br />

Jan-96<br />

Jan-98<br />

Jan-00<br />

Jan-02<br />

Jan-04<br />

Jan-06<br />

Jan-08<br />

Jan-10<br />

Nominal and real diesel fuel prices<br />

source: EIA<br />

28


Vol. 3 • Issue 2<br />

Fuel Prices and the U.S. Freight Rail Industry<br />

be unprecedented. Viable mitigation<br />

options exist on both the supply and<br />

demand sides, but to have substantial<br />

impact, they must be initiated more<br />

than a decade in advance of peaking.”<br />

Experts differ, but the peak may occur<br />

around 2020, or earlier, depending on<br />

assumptions.<br />

Railroad response<br />

There are several aspects of rail<br />

industry behavior that define the likely<br />

range of impacts:<br />

• The railroads’ direct market response<br />

to higher fuel costs<br />

• The impacts of fuel increases on<br />

overall demand for goods movement<br />

• The impacts on rail-truck mode split<br />

• Specific implications for key industry<br />

sectors which rely on rail<br />

While steep and rapid diesel price<br />

increases represent a direct and<br />

significant increase in railroad costs<br />

and are a threat to rail margins,<br />

evidence shows that freight railroads<br />

have weathered these storms rather<br />

well in the past—including the recent<br />

past—even while diesel prices have<br />

risen more rapidly than general<br />

producer prices.<br />

Several factors have played in rail’s<br />

favor:<br />

• The short-term influence of rising<br />

fuel prices gave more efficient rail an<br />

edge, as trucks are much more fuel<br />

intensive than rail<br />

• Long-term forces of international<br />

trade growth, which require lengthy<br />

shipping of containers more suited<br />

to rail<br />

• Truck driver shortages and hours<br />

of service rules have reduced the<br />

productivity of trucking, as has<br />

increased highway congestion in all<br />

urban areas<br />

• Rail productivity has improved as<br />

the major freight railroads have<br />

increasingly shifted their business<br />

model toward unit train service and<br />

long distance intermodal services<br />

as well as adopted improved<br />

technology<br />

• Lack of any similar significant<br />

technological or operating changes<br />

in motor carrier transportation has<br />

prevented trucking companies from<br />

mitigating the effects of increased<br />

fuel costs<br />

Freight rail’s direct market<br />

response<br />

As fuel prices increase rapidly, freight<br />

railroads have and will continue<br />

to respond with some combination<br />

of cost cutting, seeking to shift fuel<br />

price increases forward to customers<br />

via regulated fuel surcharges, and<br />

eliminating low margin services and<br />

increasing high margin services to the<br />

extent market conditions and railroad<br />

fixed assets permit. High margin<br />

services for the railroads include unit<br />

trains and intermodal services, where<br />

long trains of 100 cars or more are made<br />

up, and travel essentially non-stop to a<br />

final destination or intermodal facility<br />

for further distribution or drayage.<br />

Railroads are and can be expected to be<br />

successful in implementing all of these<br />

strategies—at least to a point.<br />

For example, railroads are allowed<br />

to implement fuel surcharges<br />

under strict accounting rules and<br />

conventions established by the Surface<br />

Transportation Board. While fuel<br />

surcharges are also allowed under<br />

trucking industry regulations, the<br />

surcharges are more “effective” for the<br />

railroads. First, not all truckers utilize<br />

the surcharges – small independent<br />

truckers, in particular, generally<br />

do not have this option. More<br />

Increasing train length helps save fuel costs<br />

importantly, because fuel is a much<br />

higher proportion of the costs of truck<br />

operations than for rail, the size of<br />

the surcharge is much greater in the<br />

trucking industry, and rates increase<br />

by a much larger increment placing<br />

trucking at a further competitive<br />

disadvantage. Finally, because<br />

the trucking industry is far more<br />

competitive than the railroad industry,<br />

the ability of truckers to actually shift<br />

these costs forward to customers is<br />

more limited, as truckers are pushed to<br />

strip margins to barebones levels, even<br />

with the surcharges.<br />

Overall impacts on freight<br />

demand<br />

Freight railroads benefited enormously<br />

—both in terms of absolute volumes<br />

and in freight mode share—from the<br />

decade-long increase in global trade.<br />

This increase occurred even as diesel<br />

prices increased in real terms. Rail<br />

shipping volumes grew to a record<br />

in 2006, boosting shares and earnings<br />

at the four biggest operators: Union<br />

Pacific Corp., Burlington Northern<br />

Santa Fe Corp., CSX Corp. and Norfolk<br />

Southern Corp. The S&P’s 500 Rail<br />

Index has tripled since March 2003.<br />

As the price of oil climbed 37 percent<br />

in five months from January 18th,<br />

2007, shares of Union Pacific based<br />

in Omaha, Neb., the biggest U.S.<br />

railroad company, gained 24 percent.<br />

Shares of CSX based in Jacksonville,<br />

Fla., the third-largest, rose 26 percent.<br />

Income for all class-one railroads was<br />

$4.9 billion in 2005, according to the<br />

Association of American Railroads<br />

Rennett Stowe<br />

29


EFR Vol. 3 • Issue 2<br />

(AAR). In 2007, it was $6.8 billion, a 39<br />

percent increase.<br />

While trucks offer a cost advantage<br />

on most short haul movements and<br />

can reach places that are not typically<br />

accessible by rail, they consume about<br />

four times as much fuel to move a<br />

shipment as a train does, according<br />

to U.S. Energy Department data. And<br />

with the higher fuel costs in 2007 and<br />

2008, shipping rates were about five<br />

times higher for trucks compared to<br />

trains. During this time, railroads<br />

also saw an added benefit from the<br />

rising price of oil because it drove up<br />

domestic demand for coal and ethanol<br />

as energy sources. Both commodities<br />

are carried mainly by rail, as are corn<br />

and fertilizer which are both used<br />

to produce ethanol. Union Pacific<br />

credited ethanol-related shipping for a<br />

24 percent surge in first-quarter profit<br />

in 2007. The railroad’s agricultural<br />

shipping revenue grew by eight percent<br />

in the same quarter as farmers planted<br />

the most corn since World War II, and<br />

chemical shipping revenue, including<br />

finished ethanol, rose nine percent.<br />

The rail industry also obtained more<br />

West Coast port traffic due to the<br />

increased number of rail lines that<br />

reach port terminals; at the same time,<br />

traffic congestion increased the time it<br />

takes for trucks to enter and exit ports.<br />

Modal competitive effects<br />

– truck vs. rail<br />

The preponderance of evidence is<br />

that this decade’s increases in diesel<br />

fuel prices have resulted in significant<br />

mode shifts from truck to rail. While<br />

trucks offer a cost advantage on most<br />

short hauls and can reach places that<br />

are not typically accessible by rail, they<br />

consume about four times as much fuel<br />

to move a shipment as a train does,<br />

according to U.S. Energy Department<br />

data. And with the higher fuel costs<br />

in 2007 and 2008, shipping rates were<br />

about five times higher for trucks per<br />

ton compared to trains.<br />

Trucks offer short haul advantages over rail, but consume four times as much fuel<br />

Statistical analyses further confirm<br />

the mode shift toward rail as diesel<br />

prices increased. A recent study<br />

conducted on behalf of the Association<br />

of American Railroads (AAR) found<br />

that, even when controlling for growth<br />

in overall freight volumes and world<br />

trade, fuel price increases still were<br />

found to be positively correlated with<br />

rail mode share, indicating that the<br />

negative impact on trucking outweighs<br />

any negative effect on the railroads<br />

themselves. Viewed differently, the<br />

results of this research indicate that<br />

even controlling for the effects of fuel<br />

price increases, increased trade, import<br />

and export activity will still drive mode<br />

shares higher for rail, as the increased<br />

trade activity shifts demand into more<br />

rail-friendly intermodal transportation.<br />

There are limits beyond which mode<br />

shift to rail cannot be expected,<br />

however. At some point, diesel price<br />

increases will push railroads to a<br />

financially untenable position, even as<br />

demand wants to shift from truck to<br />

rail. Limitations to rail capacity will<br />

make it difficult for railroads to absorb<br />

the additional demand, and costs will<br />

begin to outstrip market gains. At that<br />

point, the railroads can be expected<br />

to commence a serious shedding of<br />

lowest margin services, and will also<br />

commence—out of necessity—investing<br />

in alternative propulsions systems.<br />

Rennett Stowe<br />

Impacts on demand for<br />

selected key rail dependent<br />

industries<br />

Following the general trends, fuel price<br />

increases have, at least in recent times,<br />

been relatively favorable for freight rail<br />

providers in many parts of the country<br />

and for certain major industries.<br />

Specific industries have turned more<br />

towards rail in some instances, or are<br />

poised to do so. This is due mainly to<br />

rail’s increasing cost advantage as fuel<br />

prices rise and the much larger volume<br />

of goods moved by truck, which offers<br />

a very large base of “low hanging<br />

fruit” from which market share can<br />

be diverted. At the same time, higher<br />

energy costs affect many of the most<br />

important rail dependent sectors in<br />

direct ways, which impact the railroads<br />

from the demand side:<br />

Energy: During recent years of fuel<br />

price increases, railroads saw a doublebenefit<br />

from the rising price of oil<br />

because it drove up domestic demand<br />

for coal and ethanol as energy sources.<br />

Both commodities are carried mainly<br />

by rail, as are corn and fertilizer which<br />

are both used to produce ethanol.<br />

Union Pacific credited ethanol-related<br />

shipping for a 24 percent surge in firstquarter<br />

profit in 2007. This positive<br />

effect may not be sustainable, however,<br />

as energy production shifts from coal<br />

—even “clean coal”—to alternative<br />

sources. On the other hand, only the<br />

30


Vol. 3 • Issue 2<br />

Fuel Prices and the U.S. Freight Rail Industry<br />

railroads can practically move wind<br />

turbines, providing some (albeit small)<br />

compensatory boost to the railroads.<br />

Agriculture: Recent fuel price increases<br />

have created a more mixed outcome<br />

for the freight railroads in the case of<br />

agricultural products. In the case of<br />

major agricultural commodity exports<br />

from the Midwest farm belt, higher oil<br />

and fuel prices have not been especially<br />

favorable to the railroads. Together,<br />

corn and wheat comprise a significant<br />

share of the through rail traffic from<br />

Upper Midwest production regions<br />

to Pacific Northwest ports. Higher<br />

oil prices resulted—particularly<br />

during the 2008 oil price run up—in<br />

a substantial reduction in U.S. grain<br />

exports, as foreign importers saw<br />

transportation delivery costs increase<br />

greatly. Moreover, higher diesel prices<br />

tend to shift grain exports to the inland<br />

waterway/Mississippi River basin and<br />

Gulf Ports, further eroding rail market<br />

demand. In addition to direct price<br />

effects on grain exports, higher prices<br />

affect the way grain (particularly corn)<br />

is used. According to the Foreign<br />

Policy Association, as much as onethird<br />

of U.S. production of corn was<br />

shifted to ethanol production at the<br />

high point of oil prices. While more<br />

than half of ethanol moves by rail,<br />

much of it also moves by truck, as<br />

ethanol supply chains are relatively<br />

short at the present. Between 2000<br />

and 2005, rail’s share of corn ethanol<br />

decreased from 69 percent to 60<br />

percent.<br />

looking for alternatives to relying solely<br />

on trucking. More shippers have turned<br />

to rail transportation to move fruit to<br />

domestic markets.<br />

Are the nation’s railroads<br />

sufficiently poised to respond<br />

to these increases over time?<br />

In the short run, railroads will<br />

undoubtedly respond by shedding<br />

marginal services and trimming costs,<br />

but the margin for this is already small,<br />

as most marginal services have already<br />

been eliminated. Short line railroads<br />

will have a rockier future in many<br />

cases. Over time, freight railroads<br />

will simply have to respond to fuel<br />

price increases, which—assuming the<br />

mollybob<br />

Rail electrification will be prohibitively costly in<br />

all but the most heavily trafficked corridors<br />

“Tipping Point” model is accurate—<br />

will be unsustainable from a business<br />

perspective. First and foremost, this<br />

will mean shifting from diesel powered<br />

to alternative powered engines.<br />

Electrification will be prohibitively<br />

costly in all but the most heavily<br />

trafficked corridors, although new<br />

rail corridor developments, including<br />

high speed rail corridors, may provide<br />

a solution in some cases. Even clean<br />

diesel or non-petroleum conventionally<br />

fueled engines, powered by ethanol<br />

or other organically derived fuel,<br />

will require expensive adaptations or<br />

equipment replacement. Government<br />

can—indeed will probably have to—<br />

help, through investment tax credits,<br />

carbon credits, a railroad version of<br />

the “cash for clunkers” program, and<br />

possibly other means. Some of the cost<br />

can be passed on to end-users through<br />

rate increases, but not all.<br />

Adaptation will be necessary, and<br />

will occur and government assistance<br />

will be needed to mitigate the<br />

massive costs to U.S. industries and<br />

consumers. Political support for such<br />

assistance, of course, will be difficult<br />

in a perpetual climate of “no new<br />

taxes”, and assistance to railroads will<br />

almost certainly warrant assistance<br />

to the trucking industry as well.<br />

However, absent this assistance, the<br />

U.S. consumer will incur the hidden tax<br />

implicit in increased prices at the store.<br />

It will be costly, but the costs of doing<br />

nothing will be greater. •<br />

In localized markets, diesel price<br />

increases have resulted in some<br />

significant gains from agricultural<br />

customers. Using Oregon as a case<br />

study (where PB is leading the<br />

development of the Statewide Freight<br />

Plan for Oregon DOT), the increases<br />

in fuel costs—starting in 2006 and<br />

culminating at the end of 2008—have<br />

contributed to the shut down of a local<br />

trucking companies; subsequently,<br />

the shortage of available trucks has<br />

Oregon’s $727 million nursery industry<br />

Author:<br />

Dr. Ira Hirschman is a principal economist with over 27 years of<br />

consulting experience. He has managed or been the primary economic<br />

analyst for transportation, urban development, and infrastructure<br />

development studies both in the U.S. and internationally.<br />

Ph.D. and M.A., Rutgers University<br />

hirschman@pbworld.com<br />

31


EFR Vol. 3 • Issue 2<br />

PB Assists TIGER Grant Applications<br />

Dru Bloomfield<br />

by<br />

Howard Wood and Jeff Ensor<br />

IN response to the country’s<br />

extraordinary economic crisis,<br />

Congress and the Obama<br />

Administration created several new<br />

infrastructure grant programs as<br />

part of the American Recovery and<br />

Reinvestment Act of 2009 (ARRA). One<br />

such program was for Supplemental<br />

Discretionary Grants for a National<br />

Transportation System, more<br />

commonly referred to as the U.S.<br />

DOT “TIGER Discretionary Grant”<br />

or “TIGER Grant” program, which<br />

sought to fill the funding gap in large<br />

surface transportation capital projects<br />

that could not only create jobs and<br />

economic activity quickly but also<br />

generate significant long-term benefits.<br />

PB’s Strategic Consulting practice<br />

helped state, local, and private-sector<br />

clients create 44 applications, including<br />

highway/bridge, transit, Intelligent<br />

Transportation System, class I freight<br />

rail, short line railroad, multimodal<br />

passenger facility, and port projects.<br />

Unparalleled program demand<br />

Even before U.S. DOT announced<br />

the TIGER grant program guidelines<br />

in May/June 2009, the program had<br />

generated a flurry of interest. Many<br />

highway megaproject sponsors viewed<br />

the program as a unique opportunity<br />

to complete their financial plan with<br />

competitive federal dollars, which have<br />

been almost non-existent in recent years<br />

due to 100 percent earmarking of other<br />

discretionary programs (e.g., Projects<br />

of National and Regional Significance).<br />

As a result of U.S. DOT Secretary<br />

LaHood’s spring 2009 comments that<br />

the program would likely focus on<br />

projects not funded under other ARRA<br />

programs (e.g., port and intermodal),<br />

many freight sponsors began<br />

positioning their projects early and<br />

got a jump start on the key analyses.<br />

However, public statements by DOT<br />

officials in various industry meetings,<br />

as well as the announcement of the<br />

Administration’s Livability Initiative,<br />

sent a signal that transit projects might<br />

also do well.<br />

By the time of the application deadline<br />

on September 15, 2009, a total of 1,381<br />

applications had requested $56.9<br />

billion from the $1.5 billion program.<br />

In other words, the program was 38<br />

times oversubscribed—far more than<br />

the other discretionary transportation<br />

programs funded by ARRA or any<br />

other in recent history.<br />

Program review: TIGER,<br />

TIGER, burning bright<br />

The TIGER program criteria were<br />

unique in that they focused on<br />

quantifying several considerations<br />

that typically are not the province of<br />

transportation project selection. Some<br />

highlights of the program were:<br />

State of Good Repair: Applicants had to<br />

demonstrate that their projects would<br />

utilize asset management practices and<br />

have sustainable funding for their longterm<br />

maintenance.<br />

Near-Term Job Creation: the TIGER<br />

program required an analysis of the<br />

number of construction-related jobs<br />

that would be created by the projects.<br />

Long-Term Economic Competitiveness:<br />

In addition to construction jobs, the<br />

TIGER program targeted transportation<br />

projects that could quantify their<br />

long-term impacts on economic<br />

competitiveness or generate economic<br />

development (new business location<br />

or expansion, or neighborhood<br />

redevelopment) springing forth from<br />

the transportation investment.<br />

Benefit-Cost Analysis: U.S. DOT<br />

encouraged the use of benefit-cost<br />

analysis in application development,<br />

32


Vol. 3 • Issue 2<br />

Strategic Consulting Assists TIGER Trant Applications<br />

and required grant requests greater<br />

than $100 million to demonstrate that<br />

the benefits would exceed the costs.<br />

Livability: The program also placed<br />

emphasis on the “livability” aspects,<br />

such as the extent to which housing<br />

and employment are linked by lowcost<br />

transportation options, or the<br />

development of non-highway travel<br />

alternatives.<br />

Sustainability: The TIGER guidelines<br />

requested an analysis of a project’s<br />

“sustainability” aspects—its impact on<br />

air quality, energy consumption, and<br />

benefits to the environment.<br />

Partnership: Although up to 100 percent<br />

of the project cost could be requested,<br />

projects that included non-federal<br />

sources in the financial plan and/or<br />

demonstrated unprecedented levels of<br />

partnership with other entities received<br />

extra credit.<br />

Economic Distress: Finally, investments<br />

were targeted at federally-defined<br />

Economically Distressed Areas—areas<br />

with high unemployment rates and<br />

low per capita average annual incomes.<br />

It is expected that economic distress<br />

considerations will play an important<br />

role in allocating TIGER funds.<br />

In addition to these project attributes,<br />

grant guidelines stressed “readiness” of<br />

projects (level of design, environmental<br />

clearance) and their timeline for<br />

completion, providing further<br />

emphasis on the intent of the program<br />

to help jump-start the economy.<br />

Few federal grant programs have ever<br />

attempted to consider such a wide<br />

range of impacts across such a diverse<br />

set of transportation projects. In part<br />

because of the far-reaching nature<br />

of the criteria, many projects were<br />

not prepared to provide quantitative<br />

evidence of their impacts on these<br />

criteria and were forced to perform<br />

simplified analyses in order to meet the<br />

program timeline.<br />

Riding the TIGER: PB<br />

assistance with grant<br />

applications<br />

As might be expected for such a novel<br />

program, the TIGER program criteria<br />

created new challenges for grant<br />

applicants, who were tasked with<br />

developing compelling applications<br />

that could meet or exceed high<br />

expectations on a relatively short<br />

time frame and in a short application<br />

document. Dozens of clients reached<br />

out to PB for assistance and advice.<br />

The role of PB’s Strategic Consulting<br />

staff ranged from performing<br />

targeted economic analysis to<br />

providing strategic recommendations<br />

to developing and writing entire<br />

applications.<br />

At the outset of each TIGER<br />

application discussion, PB’s Strategic<br />

Consulting staff provided clients<br />

with an overview of the program,<br />

key differentiators, imperatives to<br />

submitting a competitive application,<br />

and information from around the<br />

country about the unprecedented level<br />

of interest in this highly competitive<br />

program. PB provided clients with an<br />

honest assessment of the proposed<br />

TIGER application’s chances, and in<br />

many cases PB recommended against<br />

preparing an application knowing that<br />

Jose D. Leon Guerrero Commercial Port<br />

Port Authority of Guam<br />

The Port Authority of Guam applied for TIGER grant funds for port modernization. PB provided<br />

application assistance.<br />

it was unlikely to be competitive and<br />

that the clients’ time and money could<br />

be used better elsewhere.<br />

Once the strongest project proposals<br />

were identified, PB assembled a multidisciplinary<br />

team of federal policy<br />

experts, economists, and engineers<br />

to perform analysis and write the<br />

applications. In many cases, PB staff<br />

helped clients shape elements of their<br />

project into the most appropriate scope<br />

for TIGER eligibility and criteria. Then<br />

the more technical analyses of job<br />

creation and economic benefits were<br />

initiated.<br />

PB’s economists were instrumental in<br />

providing several types of economic<br />

analysis. For nearly every application,<br />

PB prepared an estimate of the<br />

construction or manufacturing jobs<br />

and impacts that would result from<br />

the project. To quantify these (shortterm)<br />

impacts, PB often used Bureau<br />

of Economic Analysis (BEA) Regional<br />

Input-Output Modeling System (RIMS<br />

II) multipliers. RIMS II multipliers<br />

classify each cost category according<br />

to industry sector, and provide direct<br />

impacts (new spending, hiring, and<br />

production by construction companies<br />

or vehicle manufacturers) and indirect<br />

impacts (secondary, inter-industry<br />

33


EFR Vol. 3 • Issue 2<br />

purchases in the local economy<br />

in support of the construction or<br />

manufacturing project). This type of<br />

analysis provided a geographically<br />

specific estimate of direct and indirect<br />

impacts, classified by industrial sector,<br />

resulting from proposed project<br />

spending.<br />

For some projects, PB used its PRISM<br />

tool to estimate both short- and longterm<br />

regional economic benefits of a<br />

proposed TIGER project (for more on<br />

PRISM, see EFR Volume 3, Issue 1).<br />

Use of the PRISM tool not only allowed<br />

for an estimate of short-term impacts,<br />

but it also allowed PB economists to<br />

convert a project’s post-construction<br />

time and cost savings into an estimate<br />

of new long-term jobs, production, and<br />

value added in any future year. PRISM<br />

proved to be an ideal and invaluable<br />

tool for many TIGER applications.<br />

Using estimates of a project’s<br />

construction costs, operating and<br />

maintenance costs, asset life cycles,<br />

and long-term economic benefits, PB<br />

analysts created or updated project<br />

benefit-cost ratio and net present<br />

value calculations using U.S. DOT’s<br />

guidelines for discount rates and<br />

economic valuations. Sensitivity<br />

analysis was performed in many cases.<br />

Some sponsors did not yet have a<br />

project’s benefits quantified in a manner<br />

suitable for benefit-cost analysis, in<br />

which case PB helped clients quantify<br />

impacts for a benefit-cost analysis or<br />

develop an alternative approach.<br />

In a very brief period of time, PB<br />

economists and policy experts<br />

provided clients with detailed and<br />

credible estimates of economic benefits.<br />

This data was then summarized and<br />

assembled into highly organized and<br />

readable narratives, which met all the<br />

U.S. DOT requirements for TIGER<br />

applications. Like our clients, PB<br />

eagerly awaits U.S. DOT announcement<br />

of TIGER grant awards, expected in<br />

early 2010.<br />

Analysis: did this TIGER have<br />

teeth?<br />

With 38 times more in dollar requests<br />

than funding available, the TIGER<br />

program will surely result in many<br />

meritorious projects not receiving<br />

grants. For these projects, a rejected<br />

TIGER application should be the<br />

beginning—not the end—of a quest for<br />

a viable financial plan.<br />

PB’s Strategic Consulting practice<br />

has extensive experience with<br />

helping public and private sector<br />

clients develop traditional as well<br />

as innovative financial plans for<br />

transportation projects. For proposed<br />

TIGER projects with positive economic<br />

development attributes, one option<br />

may be to identify a value capture<br />

strategy that can convert a stream<br />

of benefits to an up-front capital<br />

contribution using project financing.<br />

Such value capture tools might include<br />

assessment districts, tax increment<br />

financing, tolls, or joint development<br />

contributions. In some cases, it may<br />

be possible to arrange a public-private<br />

partnership to share a project’s risks,<br />

benefits, and costs.<br />

Many project sponsors have expended<br />

a great deal of effort to create and<br />

submit their TIGER grant applications.<br />

Rather than accepting “no” for an<br />

answer, moving meritorious projects<br />

to the shelf, it would be advisable<br />

for these agencies to use their TIGER<br />

application as a project pro forma<br />

Official ARRA construction sign<br />

document to consider other sources<br />

of public and private financing, or to<br />

perform additional analysis to better<br />

make a case for the project to decisionmakers<br />

in the future.<br />

Outlook: will TIGER change its<br />

stripes?<br />

For many years, the trend has<br />

been to reduce the share of federal<br />

transportation dollars that are<br />

awarded on a competitive basis (with<br />

the exception of the Federal Transit<br />

Administration’s New Starts Program,<br />

which has continued to maintain its<br />

discretionary nature and increase<br />

in size). Particularly in highway<br />

funding, the federal government<br />

has been “hands off” when it comes<br />

to individual project selection. A<br />

dramatic exception to this trend<br />

happened with ARRA, which allocated<br />

significant sums of transportation<br />

dollars to competitive programs such<br />

as TIGER, the high-speed intercity<br />

passenger rail program, a transit CO 2<br />

and energy efficiency program, and<br />

a small shipyards program. Some are<br />

calling for up to one-third of federal<br />

transportation dollars to be allocated on<br />

a competitive basis in the future.<br />

Are discretionary grants a sign<br />

of things to come from federal<br />

transportation programs? The answer<br />

is probably “yes,” but there are many<br />

more lessons to glean from the TIGER<br />

program.<br />

First, increased accountability is<br />

certain to be a key part of future<br />

federal funding programs. Two<br />

congressionally-chartered commissions<br />

called for more rigor in transportation<br />

project selection, and the FHWA has<br />

indicated a growing interest in various<br />

benefit-cost methodologies. The TIGER<br />

grant program provided U.S. DOT with<br />

a test bed for benefit-cost analysis, and<br />

it is reasonable to believe such analysis<br />

will become a standard requirement, at<br />

least for some programs.<br />

34


Vol. 3 • Issue 2<br />

Strategic Consulting Assists TIGER Trant Applications<br />

The TIGER program is expected to place particular emphasis on freight investments<br />

Second, the TIGER program reflected a<br />

strong belief that certain transportation<br />

investments can increase our country’s<br />

economic competitiveness and/or<br />

generate economic development.<br />

This notion is not new, and FHWA<br />

has sponsored development of<br />

various analytical tools to assess the<br />

economic impacts of transportation<br />

projects. However, there is clearly<br />

a belief that current transportation<br />

programs are missing at least some<br />

economic development opportunities,<br />

so the transportation community<br />

can expect renewed emphasis on<br />

development in pending program<br />

reauthorization. In many cases the<br />

economic competitiveness benefits can<br />

be quantified, and this analysis can<br />

often be more effective if done before<br />

the rush to write an application.<br />

Perhaps not surprisingly, the<br />

TIGER program placed particular<br />

emphasis on freight investments—a<br />

common concern voiced by nearly<br />

every quarter of the transportation<br />

community. Lacking other sources<br />

of consistent program funding, the<br />

TIGER program provides a boost<br />

for freight investments. Additional<br />

funds could soon be allocated to<br />

freight projects through the so-called<br />

“TIGER II” (formally called “National<br />

Infrastructure Investments” in the<br />

FY2010 appropriations bill) program or<br />

Authors:<br />

runner310<br />

the Projects of National and Regional<br />

Significance program, but the outcomes<br />

the TIGER grant decisions will help<br />

lay the groundwork for a more formal<br />

freight program to come.<br />

Along with freight, livability and<br />

sustainability concerns figure<br />

prominently in contemporary<br />

transportation policy discussions.<br />

Livability concerns are more local<br />

—linking housing and jobs, and<br />

providing transportation options<br />

—while sustainability considers a<br />

more global awareness of petroleum<br />

dependence, CO 2<br />

emissions, and air<br />

quality. Discussion of these issues<br />

is rapidly turning into policy, as<br />

Howard Wood is a principal consultant specializing in statewide and<br />

metropolitan planning, freight planning, performance management,<br />

ITS and transportation policy development. He has led transportation<br />

planning studies for state DOTs and MPOs, and is developing financing<br />

plans for a number of intermodal projects across the U.S.<br />

M.S., Rutgers University; B.S., Ohio State University<br />

wood@pbworld.com<br />

Jeffrey Ensor is an expert in surface transportation policy, finance, and<br />

economics. He frequently advises public and private sector clients on<br />

federal legislation, grant programs, and federal-aid requirements.<br />

M.S., Massachusetts Institute of Technology;<br />

B.S., Washington State University<br />

ensor@pbworld.com<br />

evidenced by the June announcement<br />

by U.S. DOT, HUD, and EPA of an<br />

interagency partnership with six<br />

livability principles to coordinate<br />

policy. At the very least, livability and<br />

sustainability principles are likely to be<br />

a requirement in future transportation<br />

planning processes, and we may see<br />

new federal funding programs to<br />

advance these issues. In fact, FTA<br />

recently announced that it is seeking<br />

applications (due February 8th) for<br />

$280M of Livability grants for streetcar,<br />

bus, and bus facility projects. Many also<br />

see some form of a cap-and-trade CO 2<br />

program as likely in the coming years,<br />

which will have far reaching impacts<br />

on the transportation sector.<br />

Finally, the TIGER program is a<br />

tremendous test for U.S. DOT. This<br />

Department is tasked with the<br />

monumental challenge of allocating an<br />

extremely limited amount of funds in a<br />

manner that rewards the best projects,<br />

is perceived as fair and transparent,<br />

and is deemed politically acceptable. If<br />

U.S. DOT can do this, Congress will be<br />

more likely to provide the Department<br />

with the authority and resources to<br />

continue TIGER-like programs. As<br />

evidence of some initial trust, Congress<br />

recently appropriated $600 million for<br />

U.S. DOT to make so-called TIGER II<br />

grants in 2010. •<br />

35


EFR Vol. 3 • Issue 2<br />

An Innovative Billing System at a Wastewater Utility<br />

m.gifford<br />

by<br />

Stephen Kuhr and Brian Reed<br />

THE combined sewer systems<br />

typically found in older U.S.<br />

cities were designed to collect<br />

stormwater runoff, domestic sewage,<br />

and industrial wastewater in the same<br />

pipe. Modern system design uses one<br />

pipe to convey stormwater runoff to<br />

nearby water bodies and a separate<br />

pipe to convey domestic and industrial<br />

sewage to a treatment plant. Most<br />

of the time, combined sewer systems<br />

convey all of their wastewater to a<br />

treatment plant, however, during<br />

periods of heavy precipitation the<br />

volume of stormwater runoff plus<br />

the wastewater going into the pipes<br />

can exceed the capacity and excess,<br />

untreated wastewater empties directly<br />

into nearby water bodies . These<br />

events are known as Combined Sewer<br />

Overflows (CSOs).<br />

Over the last 10 years the District of<br />

Columbia Water and Sewer Authority<br />

faced a series of challenges to prepare<br />

for the implementation of $2.2 billion in<br />

federally mandated improvements to<br />

its 100+ year old wastewater collection<br />

system to reduce CSOs into the waters<br />

of the District of Columbia. First, the<br />

Authority needed to develop a program<br />

and rate schedule that its customers<br />

could afford while still addressing<br />

other critical capital needs. Second, the<br />

Authority needed to determine how<br />

to allocate the program costs. Lastly,<br />

the Authority needed to develop the<br />

policies, systems, and work processes<br />

to implement the rate structure and<br />

collect revenue.<br />

PB helped the Authority navigate each<br />

of these challenges by offering financial<br />

advisory support in negotiations with<br />

the federal government, researching<br />

rate structure options, and developing<br />

of a unique system of billing customers<br />

on the basis of their property’s<br />

impervious area.<br />

What can customers afford?<br />

The Authority’s discussions with the<br />

EPA regarding ways to mitigate the<br />

effects of CSOs began in the late 1990s.<br />

In the planning phase, the Authority<br />

drafted a long-term control plan<br />

(LTCP) to implement a program of<br />

improvements, principally tunnels, to<br />

reduce CSO events. It was imperative<br />

to determine the shortest delivery<br />

period that could be reasonably<br />

affordable to D.C. residents. Working<br />

closely with the Authority’s finance and<br />

engineering executives, PB developed<br />

scenarios to evaluate the impacts of the<br />

proposed options on the Authority’s<br />

customers. With this, the Authority<br />

negotiated a 20-year delivery schedule<br />

with federal regulators, 33 percent<br />

longer than other cities. A longer<br />

delivery schedule resulted in a reduced<br />

rate impact on customers and gave the<br />

Authority greater flexibility in their<br />

capital program.<br />

Who should pay the cost of the<br />

CSO program?<br />

In parallel with the regulatory<br />

negotiations, PB assisted the Authority<br />

in evaluating how best to recover<br />

the costs of the CSO program. To<br />

the maximum degree possible, the<br />

Authority’s Board of Directors sought<br />

to assign the program costs to those<br />

customers driving the program costs.<br />

Once this principle was articulated the<br />

challenge became determining how<br />

best to accomplish this goal.<br />

CSOs occur during heavy periods of<br />

precipitation when the stormwater<br />

runoff overwhelms the capacity of the<br />

system. Properties with large amounts<br />

of impervious surfaces (buildings,<br />

paved areas, parking lots, etc.) will<br />

contribute more runoff to the drainage<br />

infrastructure than a park or properties<br />

with grass, which allow stormwater<br />

runoff to percolate through the soil.<br />

36


Vol. 3 • Issue 2<br />

An Innovative Billing System at a Wastewater Utility<br />

The Authority desired a rate structure<br />

that would capture this cause-andeffect<br />

relationship. PB’s comprehensive<br />

cost recovery study reviewed rate<br />

structures in practice in addition to<br />

providing benchmarking information<br />

on CSO LTCP’s in other communities.<br />

The review showed the extensive use<br />

of cost allocation based on the amount<br />

of impervious surface on properties for<br />

stormwater programs. Although this<br />

was a proven approach in stormwater<br />

programs, it was a new approach for a<br />

CSO program.<br />

Similar to many other utilities, the<br />

Authority charged customers water<br />

and sewer rates based on the volume of<br />

water passing through the customer’s<br />

meter. Using this structure for the<br />

CSO program was an option but it<br />

implied the more water a customer<br />

consumed the more a customer would<br />

pay towards the CSO program; a poor<br />

fit to the proposed cause-and-effect rate<br />

structure.<br />

An important consideration for any<br />

change from volumetric rates to<br />

land-based rates was the profile of the<br />

Authority’s customers, specifically<br />

the water consumption and land<br />

ownership characteristics. The above<br />

table presents data from Authority<br />

billing records on water consumption<br />

versus total impervious area on<br />

individual properties by customer<br />

category.<br />

The table demonstrates that switching<br />

to an impervious area-based rate<br />

would meet the Authority’s objective<br />

of having the cost-causer pay more of<br />

the costs of the program. It also shows<br />

that switching rate structures would<br />

result in customer categories being<br />

winners and losers while some would<br />

remain about the same. Multi-Family<br />

properties such as high-rise residential<br />

buildings occupy a relatively small<br />

footprint but consume higher volumes<br />

of water for domestic uses such as<br />

dish and clothes washing. So, an<br />

apartment building would typically<br />

Water consumption vs percent of impervious area<br />

on property<br />

Customer<br />

Water<br />

Consumption,<br />

FY08<br />

Percent of<br />

Impervious<br />

Area, sq. ft.<br />

Residential 21.3% 28.8%<br />

Multi-family 20.7% 10.7%<br />

Commercial 33.0% 32.5%<br />

Municipal 3.2% 6.4%<br />

D.C. Housing<br />

Authority<br />

2.9% 1.2%<br />

Federal 16.9% 17.9%<br />

Authority use,<br />

other<br />

2.0% 2.5%<br />

Total 100.0% 100.%<br />

<br />

source: WASA<br />

pay less for the CSO LTCP because they<br />

have relatively less of an impervious<br />

footprint compared to their share<br />

of water consumption. On the other<br />

hand, Municipal land use would have<br />

much higher charges under this rate<br />

structure since they have the opposite<br />

characteristics: a large impervious area<br />

footprint compared to their relative<br />

share of water consumption.<br />

How should customers be<br />

billed?<br />

Part of the implementation phase was<br />

ensuring that the Authority possessed<br />

the legal authority to create a new rate<br />

structure. The Authority’s enabling<br />

legislation gave it the ability to bill and<br />

collect for volumetric water and sewer<br />

fees and other related charges such as<br />

hook-up fees. PB advised the Authority<br />

on the phrasing of a modification to<br />

the city’s code to allow for the use of<br />

an Impervious Area Charge (IAC).<br />

The IAC was developed as a service<br />

charge and not a tax as the Federal<br />

government, an important Authority<br />

customer, cannot be taxed but can be<br />

assessed a service charge.<br />

Implementing a new rate structure<br />

would require altering the Authority’s<br />

databases and customer bills for the<br />

estimated 120,000-plus customer<br />

accounts. The Authority’s Customer<br />

Information System (CIS) was set up<br />

to bill customers for water and sewer<br />

Impervious area approach: Definition of ERU<br />

1,000 sq. ft.<br />

1,200 sq. ft. 800 sq. ft.<br />

Example:<br />

1 ERU = 1,000 square feet of impervious area<br />

Equivalent <br />

residential unit<br />

source: Florida<br />

Stormwater Association<br />

volumetric fees. The CIS and the<br />

customer bills needed to be revised to<br />

include the new IAC billing fields. The<br />

rate structure needed to be transparent<br />

and easily understood by staff and<br />

customers.<br />

PB’s research showed that a<br />

methodology commonly used by<br />

stormwater utilities to simplify billing<br />

is the use of the Equivalent Residential<br />

Unit (ERU). The ERU represents either<br />

the mean or median impervious area of<br />

all residential properties. An example<br />

ERU calculation is depicted above.<br />

Under the ERU methodology,<br />

residential customers are charged<br />

one ERU per month and the other<br />

land use or customer categories<br />

(Commercial, Federal, etc.) are charged<br />

in multiples of ERUs. An advantage<br />

of the ERU approach is that billing of<br />

the approximate 105,000 residential<br />

customers is greatly simplified for<br />

Authority staff since they will all be<br />

charged the same amount each month<br />

(1 ERU).<br />

Implementing the IAC required<br />

capturing data from many sources and<br />

integrating it into the Authority’s billing<br />

procedures. The D.C. government<br />

maintains property data layers in a<br />

Geographic Information System (GIS)<br />

platform for public and agency use.<br />

37


EFR Vol. 3 • Issue 2<br />

This data includes information on<br />

individual properties such as address,<br />

owner, land features (buildings,<br />

sidewalks, roads), and property type<br />

(residential, commercial, etc.).<br />

To create the IAC system, the D.C.<br />

government’s property-based data and<br />

the Authority’s customer-based data<br />

in its CIS needed to be linked in a GIS<br />

format. PB worked with Authority<br />

staff and consultants to implement a<br />

new system to handle the billing of the<br />

IAC: the Impervious Area Information<br />

System (IAIS). A central objective of<br />

the IAIS was to allow the Authority to<br />

synchronize property owning customer<br />

information with the customer’s<br />

respective property’s physical<br />

attributes, such as the amount of<br />

impervious area (buildings, driveways,<br />

sidewalks, etc), in one database. The<br />

CIS contained tabular data (name,<br />

address, etc.) and the D.C. GIS data<br />

contained tabular data plus spatial<br />

information (coordinates on a map).<br />

The IAIS would also give the Authority<br />

a powerful tool for spatial analysis.<br />

What’s does a new billing<br />

system require?<br />

As part of the initial work effort to<br />

design the IAIS, PB interviewed the<br />

Authority stakeholders to determine<br />

the conceptual framework of the<br />

system and to outline the technical<br />

requirements needed to bill customers<br />

for the IAC. The IAIS system design<br />

was accomplished by using the Systems<br />

Vee Process Diagram for<br />

Engineering VEE Methodology.<br />

Systems Engineering<br />

PB developed a Concept of<br />

Operation document and Functional<br />

Requirements matrix to assist in the<br />

development of the data warehouse,<br />

system and application. A decision<br />

was made early in the project<br />

development that the Authority would<br />

utilize existing data from the D.C.<br />

government to build the system since<br />

their data contained the best property<br />

information. During the design phase,<br />

PB worked with the Authority technical<br />

staff to further develop the IAIS and to<br />

evaluate and analyze all existing data<br />

sources.<br />

The software development process<br />

was a combination of rapid-prototype<br />

and iterative development methods<br />

that required close coordination with<br />

Authority staff. The application<br />

was designed to interface and work<br />

in conjunction with the Authority<br />

enterprise-wide Oracle data warehouse.<br />

How good is the data?<br />

PB worked with multiple D.C.<br />

government agencies (including the<br />

Office of the Architect of the Capitol<br />

and Office of the Surveyor) to develop<br />

the data to support the IAIS. Data<br />

sources were evaluated, catalogued,<br />

System architecture<br />

Graphical user<br />

interface:<br />

IAIS Tool Suite:<br />

Datawarehouse:<br />

ESRI ArcGIS 9.3 application<br />

Visual Basic.Net<br />

Oracle 10G Spatial<br />

and analyzed for quality, thoroughness,<br />

gaps, and update frequencies/methods.<br />

Once assessed, a multi-phased<br />

approach to clean and prepare the data<br />

for implementation into the IAIS was<br />

undertaken by PB, using multiple staff<br />

in three separate office locations.<br />

The customer data was a core<br />

component of the system and PB staff<br />

worked on site to update and validate<br />

customer locations (spatially), address<br />

(mailing and service), ownership,<br />

status, type, relationship to other<br />

customer locations on single properties,<br />

and impervious area information<br />

(square feet, type of feature, and<br />

original feature source/version).<br />

PB implemented a rigid QA and data<br />

integrity evaluation process. The<br />

process involved a review of existing<br />

data, gap analysis, identification and<br />

prioritization of issues, and risk/benefit<br />

analysis to determine recommendations<br />

for data processing. Options and risks<br />

were presented in a series of workshops<br />

with the Authority oversight<br />

committees where PB worked with the<br />

Authority to determine methods to<br />

support the long-term maintenance and<br />

updates of the data.<br />

A significant effort in the data analysis<br />

was creating geometry for the<br />

“missing” properties and correcting<br />

data anomalies in GIS since the<br />

property records for the District did<br />

not include most federal properties.<br />

Phase 1 -<br />

Planning/Requirements<br />

Phase 2 -<br />

Design<br />

Phase 3 -<br />

Implementation<br />

Phase 4 -<br />

O&M - Lifecyle Plan Renewal<br />

Regional<br />

Architecture<br />

Needs<br />

Assessment<br />

Concept<br />

Selection<br />

Project<br />

Planning<br />

Sys. Eng.<br />

Management<br />

Planning<br />

Operations<br />

&<br />

Maintenance<br />

Changes<br />

and<br />

Upgrades<br />

Retirement/<br />

Replacement<br />

Concept<br />

of<br />

Operations<br />

System<br />

Validation<br />

Initial Deployment<br />

System/<br />

Functional<br />

Requirements<br />

System<br />

Verification &<br />

Integration<br />

Design<br />

High-Level Design<br />

Subsystem<br />

Requirements<br />

Detailed Design<br />

Database Design<br />

UI Mockups<br />

Subsystem<br />

Verification &<br />

Integration<br />

Unit<br />

Testing<br />

Implemenation<br />

Software Engineering<br />

Code Development<br />

Hardware Fabrication/Config.<br />

Time<br />

VEE systems engineering methodology diagram<br />

Sources:<br />

FHWA Systems Engineering Guidebook<br />

DOD Systems Development Process<br />

sources: FHWA Systems Engineering Guidebook, DOD Systems Development Process<br />

38


Vol. 3 • Issue 2<br />

An Innovative Billing System at a Wastewater Utility<br />

All of the data was then incorporated<br />

into the PB-designed Oracle 10G data<br />

warehouse schema to support the IAIS.<br />

DCRA<br />

How does the authority use the<br />

system?<br />

PB performed a series of interview<br />

workshops to assist the Authority in<br />

determining the system architecture,<br />

components and how it was to function<br />

within the Authority. As part of this<br />

process, PB developed the master list<br />

of requirements and assigned weighted<br />

priorities to each in coordination<br />

with the Authority technical and<br />

management staff. Once the initial<br />

prioritizations were complete, a<br />

high-level risk mitigation plan was<br />

implemented.<br />

Property Data<br />

OTR<br />

Property Data<br />

DCGIS<br />

IA Features &<br />

Data Layers<br />

IAIS data flow diagram<br />

DCWASA<br />

Enterprise DB –<br />

IAIS<br />

DCWASA<br />

Enterprise DB –<br />

Customer Data<br />

Vertex<br />

Customer Information System<br />

& Billing<br />

source: PB<br />

Business processes needed to maintain<br />

the IAIS, and a series of step-bystep<br />

procedures that Authority staff<br />

needed to follow in order to process<br />

information within the Authority were<br />

developed by PB as well as a detailed<br />

training program for the Authority<br />

technical and management staff.<br />

Residential<br />

roof-tops<br />

Commercial<br />

roof-tops<br />

Roll out<br />

The Authority rolled out the system in<br />

May 2009. An aggressive campaign to<br />

inform their customers and the public<br />

of the change on their bills started more<br />

than one year before the IAC went live.<br />

PB supported the Authority at meetings<br />

with the City Council and major<br />

customers. The public information<br />

campaign was deemed successful in<br />

part because of minimal customer<br />

complaints or appeals and the lower<br />

than expected calls to Customer Service<br />

after the first bills were mailed. Over<br />

time the Authority anticipates revenues<br />

to reach up to $150 million each year to<br />

pay for the $2.2 billion CSO program.<br />

PB’s financial and rate-making services<br />

in combination with technical expertise<br />

in business process design, database<br />

and software development gave the<br />

Authority the full suite of services<br />

necessary to implement the $2.2 billion<br />

program. •<br />

Examples of impervious surfaces<br />

Authors:<br />

Parking lots<br />

Stephen Kuhr advises clients on strategic infrastructure issues<br />

specializing in water and wastewater finance and rates. He combines a<br />

business and engineering education to elaborate infrastructure studies<br />

in the U.S. and internationally in the areas of finance, strategy, and due<br />

diligence.<br />

MBA, IESE Business School, University of Navarra;<br />

B.S., Purdue University<br />

kuhr@pbworld.com<br />

Brian Reed is a senior system engineer and specializes in managing<br />

technology and information systems, workflow automation, and complex<br />

infrastructure projects. He has a background in Civil Engineering and<br />

Management Information Systems, including datawarehouse design,<br />

administration and Geographic Information Systems.<br />

B.S., Loyola College; B.S., Drexel University<br />

reedb@pbworld.com<br />

39


EFR Vol. 3 • Issue 2<br />

Estimating Impacts of Transportation Capacity Expansion<br />

FHKE<br />

by<br />

Sonika Sethi<br />

EVALUATING long-term impacts<br />

of transportation improvements,<br />

particularly network capacity<br />

expansions, can be a fundamentally<br />

challenging proposition. Not only is<br />

there great uncertainty in the nature<br />

and extent of impacts over a long time<br />

horizon, but also a want for established<br />

procedures and robust research in<br />

this area. At the same time, empirical<br />

evidence has shown that capacity<br />

additions, particularly in the context of<br />

roadway networks, have the potential<br />

to induce travel and development that<br />

would not have taken place had those<br />

expansions in the system not occurred.<br />

Traditional methods of travel<br />

forecasting do not take into account<br />

development and travel induced solely<br />

by new available capacity. This can<br />

sometimes result in over-estimation of<br />

travel time savings benefits. To add<br />

to the importance of estimating these<br />

impacts, the National Environmental<br />

Policy Act (NEPA) has provisions that<br />

necessitate the analysis of indirect<br />

demand effects. Several high-profile<br />

EISs that failed to adequately account<br />

for indirect impacts have been<br />

challenged in court. 1<br />

Induced development<br />

Induced development (or indirect<br />

land use) impacts are defined as those<br />

land use impacts spurred by projects<br />

that occur later in time, but are still<br />

reasonably foreseeable. 2 In order<br />

to ascertain incremental impacts of<br />

development resulting from a project,<br />

it is important to first estimate the<br />

magnitude and distribution of the<br />

induced development.<br />

Evaluating the long-term fiscal impacts<br />

of the “Build Alternatives” requires<br />

an understanding of the increment of<br />

new residential and nonresidential<br />

development that may be induced<br />

with the construction of the proposed<br />

project. In the case of a highway<br />

extension project for instance, induced<br />

development impacts may be more<br />

specifically defined as those that may<br />

result from the Build Alternative<br />

outside of the construction footprint<br />

of the proposed highway extension<br />

corridor.<br />

Estimating induced development<br />

from transportation expansion is an<br />

evolving art more than it is a science.<br />

Federal agencies such as the Council<br />

on Environmental Quality (CEQ) and<br />

the Federal Highway Administration<br />

(FHWA), while attempting to provide<br />

guidance, have concluded in position<br />

papers that there is no one correct way,<br />

nor a prescribed specific technique or<br />

method that must be used, to conduct<br />

such analysis. 3 However a combination<br />

of qualitative and quantitative<br />

methods can be employed in order to<br />

ascertain these impacts within a certain<br />

acceptable range of accuracy.<br />

1<br />

Uri Avin, Robert Cervero, et. al., Forecasting Land Use Effects of Urban Transportation Projects, prepared for AASHTO Standing Committee<br />

on Environment, 2007<br />

2<br />

Council of Environmental Quality Regulations Implementing NEPA (National Environmental Policy Act), 1986. 40 CFR, Parts 1500-1508.<br />

3<br />

Louis Berger and Associates, 1998. Guidance for Estimating the Indirect Effects of Proposed Transportation Projects, Report 403. National<br />

Cooperative Highway Research Program, Transportation Research Board, National Research Council, National Academy Press, Washington,<br />

D.C.<br />

40


Vol. 3 • Issue 2<br />

Estimating Impacts of Transportation Capacity Expansion<br />

Qualitative analysis<br />

Through a rigorous process of data<br />

collection regarding ancillary factors<br />

that govern development (other than<br />

transportation network improvements)<br />

and through interviews with local<br />

planning professionals and real estate<br />

experts, a reasonable theory can be<br />

formed regarding developmental<br />

impacts of the project. Some of the key<br />

questions to address would be:<br />

Changes in network performance: What<br />

does the transportation project do to<br />

highway performance (accessibility,<br />

travel-time, volume, mobility, and<br />

safety) that is different from what that<br />

performance would be without it?<br />

Change in accessibility is one of the<br />

key determinants of the magnitude of<br />

development attributable to the project.<br />

Expected growth: How do those changes<br />

in travel performance influence factors<br />

that help shape development patterns<br />

such as population and employment<br />

growth? Does the project have potential<br />

to spur new development or would it<br />

just redistribute expected growth?<br />

Public policy: What policies exist on the<br />

books to offer resistance to potential<br />

land use change?<br />

Answers to these and similar questions<br />

can be sought through a process of<br />

interviews, where various stakeholders<br />

are asked to provide qualitative inputs<br />

while also classifying outcomes in<br />

ranges (such as low, medium, high for<br />

travel time benefits, land supply, etc.)<br />

These ranges can then be mapped to<br />

probability of induced development<br />

through use of experienced judgment.<br />

For instance, if the project brings about<br />

“high” or significant improvement<br />

in the transportation network<br />

performance, measured through<br />

greater time savings and/or through a<br />

better or faster connection to a poorly<br />

connected rural or suburban area, the<br />

potential for induced development<br />

may be high. However, a project which<br />

results in “low” or “moderate” travel<br />

time savings may have lesser potential<br />

to encourage induced development<br />

as it may not give enough incentive<br />

to deviate from planned development<br />

patterns.<br />

Quantitative analysis<br />

As argued above, growth invariably<br />

spurs travel. Hence one indicator of the<br />

magnitude of induced development<br />

is increment of travel. Cervero’s (2003)<br />

Longer-Term Path Model captures the<br />

relationship between transportation<br />

supply, induced development, and<br />

induced travel.<br />

In order to understand induced travel<br />

it is essential to look at transportation<br />

through the “supply” and “demand”<br />

lens of classical economics. In<br />

transportation, typically the supplyside<br />

comprises the transportation<br />

infrastructure and the quantity of<br />

supply is the available capacity on<br />

the existing modes, such as the road<br />

network capacity during peak periods<br />

of travel. Travel demand on the other<br />

hand is the demand (existing or latent)<br />

for people to travel using a particular<br />

mode during a specific time period.<br />

The equilibrium-governing price is a<br />

composite “generalized cost,” which<br />

is a sum total of the time cost of travel<br />

and the out-of-pocket expenses such<br />

as fuel and vehicle maintenance<br />

Land supply: What is the land supply<br />

situation in the study region? The more<br />

limited the supply, the more likely<br />

that improved access will contribute<br />

to pressure for zoning changes in the<br />

study area.<br />

SUPPLY:<br />

Lane Mile<br />

Growth<br />

Share<br />

Near-Term Path Model<br />

BENEFIT: +<br />

+<br />

Roadway<br />

Speed –<br />

DEMAND:<br />

VMT<br />

Growth<br />

Share<br />

Other factors affecting development: What<br />

other factors influence development<br />

patterns? Access alone is not sufficient<br />

to trigger development. Other key<br />

public facilities like sewer and water<br />

may need to be available to the study<br />

area at a reasonable cost. If they are,<br />

improvements in access are more likely<br />

to support land use change.<br />

Other market factors: Where has growth<br />

been going? How does this trend<br />

correspond with current plans and<br />

zoning? Are access, travel time or<br />

other factors limiting conditions on<br />

development in the study area?<br />

SUPPLY:<br />

Lane Mile<br />

Growth<br />

Share<br />

+<br />

+<br />

Cervero’s Longer-Term Path Model<br />

–<br />

Longer-Term Path Model<br />

BENEFIT:<br />

Roadway<br />

Speed<br />

+<br />

DEVELOPMENT<br />

ACTIVITY:<br />

Building Growth<br />

Share<br />

+<br />

–<br />

+<br />

+<br />

DEMAND:<br />

VMT<br />

Growth<br />

Share<br />

Near term<br />

Longer term<br />

source: Robert Cervero<br />

41


EFR Vol. 3 • Issue 2<br />

expenses, parking and tolls, and other<br />

transportation taxes. The time cost<br />

of travel is generally accounted for<br />

in travel estimation by applying user<br />

value-of-time assumptions.<br />

Supply before<br />

Supply after increase in<br />

network capacity<br />

At their very basic level, travel<br />

estimation methods aim to look for<br />

an equilibrium between supply and<br />

demand. This equilibrium represents<br />

the balance of “price” and level of<br />

system users for which all of those<br />

users are willing to pay to travel at<br />

any given time. Since every route<br />

between an origin and a destination has<br />

an “associated” price, this process of<br />

optimization helps to arrive at the most<br />

likely route a traveler would be willing<br />

to take at a given time between two<br />

given points on the network.<br />

Additional demand for travel beyond<br />

the equilibrium level is “priced-out”<br />

—this demand represents additional<br />

travel that wants to occur, but is<br />

unwilling to do so at the current time<br />

and price. Such additional demand<br />

may remain latent (travel doesn’t<br />

occur) or may be redistributed to other<br />

times of day and/or other lower cost<br />

modes. However, since any incremental<br />

travel not only uses up existing<br />

supply, but also shifts price (due to<br />

added congestion), this equilibrium<br />

is dynamic and can only be arrived<br />

at through an iterative process of<br />

estimation.<br />

Using this model it is easy to see why<br />

an increase in supply (system capacity)<br />

would lead to a commensurate increase<br />

in demand as the “congestion price”<br />

reduces as a result of available new<br />

capacity. Hence in case of lane-mile<br />

additions to a highway for instance,<br />

induced travel is the increment of travel<br />

that is either:<br />

• A result of expression of latent travel<br />

demand (short-term generative), i.e.<br />

those travelers who otherwise would<br />

not make the trip due to congestion,<br />

but given the new available capacity,<br />

are encouraged to make it.<br />

Price of Travel<br />

P1<br />

Pd<br />

P2<br />

Q1<br />

Quantity of Travel<br />

• Attributable to new development<br />

(long-term generative), i.e. new trips<br />

due to the new (induced) residential<br />

and commercial development in the<br />

vicinity of the project.<br />

• A result of spatial and temporal shifts<br />

in traffic (redistributive), i.e. those<br />

travelers that change route and time<br />

of travel to take most advantage of<br />

the new available capacity.<br />

In theory, redistribution of travel is<br />

not accounted for as new or induced<br />

travel since no additional vehicle miles<br />

Q2<br />

Demand<br />

Long term Induced<br />

Demand<br />

This graph represents system demand and supply of transportation infrastructure. It is important to note<br />

that an upward sloping supply curve indicates the existing available excess capacity on the network which<br />

can potentially be put to use as congestion increases on certain parts of the system.<br />

PB’s approach<br />

Estimate<br />

Incremental Travel<br />

(# trips)<br />

Apply Trip Generation<br />

Factors<br />

(trips/ HH or trips/sq.ft. retail)<br />

Compute Commensurate<br />

Development<br />

(# HH or sq.ft. retail development)<br />

Qd<br />

are added as long as competing routes<br />

have roughly comparable lengths.<br />

The magnitude of induced travel can<br />

be measured using various available<br />

techniques even though each comes<br />

with their own set of limitations. Also,<br />

for the purpose of ascertaining induced<br />

development effects, it is the long-term<br />

generative travel that would be of<br />

interest.<br />

Estimating incremental travel<br />

For quantitative estimation of<br />

incremental induced travel, there are<br />

a few methodologies available with<br />

varying data requirements. From a<br />

literature review, key amongst them are<br />

meta-analysis and FHWA’s Spreadsheet<br />

Model for Induced Travel Estimation<br />

(SMITE). The primary input in most<br />

quantitative methods of analysis<br />

is the price elasticity of demand,<br />

which can either be judged through a<br />

qualitative analysis of travel trends and<br />

development potential in the region,<br />

or through empirical analysis of extent<br />

of induced travel and development in<br />

other “peer” cases of transportation<br />

network improvements, or both. This<br />

is a key factor in order to quantitatively<br />

evaluate the potential of the investment<br />

to induce travel and development.<br />

These models generate incremental<br />

long-term generative travel in the form<br />

of vehicle miles traveled (VMT).<br />

42


Vol. 3 • Issue 2<br />

Estimating Impacts of Transportation Capacity Expansion<br />

In addition, a process such as SMITE<br />

may require more data such as average<br />

annual daily traffic before and after the<br />

improvement, the capacity addition<br />

and speed profiles that can be obtained<br />

from a regional travel demand model.<br />

The basic premise for a model such<br />

as SMITE is that the impact of a<br />

transportation capacity expansion<br />

on travel is two-way, in that capacity<br />

expansion leads to greater demand.<br />

However, as demand increases,<br />

congestion on the facility also increases<br />

thus increasing the price of travel<br />

and imposing a downward push on<br />

demand until equilibrium is reached.<br />

For meta-analysis, a much simpler<br />

procedure is used to arrive at total<br />

incremental travel and a factor, which<br />

is based on empirical analysis, may<br />

be used to parse out the long-term<br />

generative travel from the short-term<br />

effects.<br />

The incremental VMT attributable to<br />

long-term generative impacts can be<br />

converted to trips and local surveys can<br />

be used to estimate the share of these<br />

trips occurring for different purposes.<br />

Induced development potential<br />

can then be computed through the<br />

following two steps:<br />

Applications<br />

There are many wide-reaching<br />

applications of induced travel and<br />

induced development forecasting:<br />

Estimating true travel benefits: Induced<br />

travel estimation can be used to refine<br />

forecasts obtained through traditional<br />

forecasting methods and arrive at<br />

a more realistic estimate of travel<br />

benefits.<br />

Estimating true developmental benefits<br />

(on employment, livability and hence<br />

on regional economy): It can be used<br />

to make a case for realistic impacts<br />

of a transportation project—for<br />

instance for federal grants—which<br />

ask for estimation of true benefits to<br />

the economy/region of a proposed<br />

transportation project.<br />

Estimating true environmental benefits:<br />

Induced travel can have a detrimental<br />

impact on congestion that the project<br />

aims to alleviate. This is important<br />

in assessing the true environmental<br />

impacts of the proposed project.<br />

Estimating fiscal impact: Given cost<br />

of providing services and ancillary<br />

infrastructure to new development as<br />

well as the incremental tax revenues<br />

Nrbelex<br />

Induced travel and development forecasting<br />

can help estimate true travel, development, and<br />

environmental benefits.<br />

from it, induced development can<br />

result in a fiscal impact on city/ regional<br />

authorities. A prior analysis of induced<br />

development can help in estimating<br />

this impact. •<br />

1. Finding appropriate trip generation<br />

factors: Trip generation factors can<br />

be obtained either from the ITE trip<br />

generation manual or from local<br />

surveys, studies or travel modeling<br />

exercises. These factors are usually<br />

location or context specific and hence<br />

would differ from region to region.<br />

2. Computing incremental development:<br />

Incremental development can<br />

be computed by applying trip<br />

generation factors to trips by purpose<br />

to estimate additional home and<br />

employment centers that will be built<br />

in the vicinity of the development<br />

and contribute to the additional trips.<br />

Author:<br />

Sonika Sethi specializes in applications of transportation model results<br />

to economic, financial and policy decisions. She has worked extensively on<br />

toll revenue forecasting, financial feasibility analysis of tolling, toll road<br />

O&M forecasting, estimating impacts of induced travel, fiscal impacts<br />

analyses, strategic demand and capacity studies for freight infrastructure<br />

systems and travel markets analysis for public transit.<br />

M.S., Northwestern University;<br />

M.S., University of Dundee;<br />

B.A., School of Planning and Architecture, New Delhi, India<br />

sethi@pbworld.com<br />

43


EFR Vol. 3 • Issue 2<br />

Integrated Project Management Information Systems<br />

pdstahl<br />

by<br />

Randy Ivory<br />

THE evolution of computer<br />

systems to help the management<br />

of projects over the last 20<br />

years is redefining modern project<br />

management as much as the airplane<br />

changed transatlantic travel a century<br />

prior. Fifteen years ago project<br />

teams began relying on off-the-shelf<br />

software applications to help manage<br />

and control projects. Ten years ago,<br />

internet-based applications began<br />

providing quick and easy decentralized<br />

access to view and manage project<br />

information. Five years ago, these<br />

systems matured into well-built,<br />

independent applications available<br />

for use for both local and distributed<br />

teams. Today, teams are utilizing an<br />

integrated approach to access multiplatform<br />

project software solutions<br />

while leveraging the ease of the internet<br />

for use, access, and availability. <strong>Parsons</strong><br />

<strong>Brinckerhoff</strong> now delivers a simple<br />

yet powerful data portal, which is the<br />

culmination of this progression, known<br />

as the “Integrated Project Management<br />

Information System,” or simply iPMIS.<br />

iPMIS applications are an integrated<br />

suite of normally independent project<br />

control software tools. Used in<br />

conjunction with established business<br />

processes, they provide effective<br />

project management, proficient project<br />

control and efficient project delivery<br />

to improve service, increase revenue,<br />

and reduce costs for projects. A typical<br />

iPMIS implementation implies the<br />

existence of single, unified product, but<br />

in reality, an iPMIS solution represents<br />

a suite of third-party software solutions<br />

used in combination to represent a<br />

holistic view of project and program<br />

data. iPMIS implementations leverage<br />

the software applications in use on a<br />

project to create a personalized project<br />

management tool which is highly<br />

efficient, cost effective, and results in<br />

less risk than a custom-built solution.<br />

The key advantage for projects is that<br />

an iPMIS system is not dependent<br />

on any single application, and by<br />

design capitalizes on the variety of<br />

applications that a project already<br />

utilizes as part of its process of doing<br />

business.<br />

iPMIS solutions are designed to<br />

provide business intelligence to help<br />

resolve many of the information<br />

gaps that exist on projects today.<br />

Through the use of data warehousing,<br />

information captured by project control<br />

systems can be combined to produce<br />

rich program dashboards and project<br />

level reporting. Being web-based portal<br />

solutions, iPMIS systems are easily<br />

accessible by any team member that<br />

has sufficient application permissions<br />

and access to the internet. Gone are<br />

the days of team members having to<br />

remember many unique passwords to<br />

access disparate systems; with iPMIS,<br />

users can access the collective system<br />

data through a portal with a single<br />

password.<br />

One of the core success factors behind<br />

an effective iPMIS system is the<br />

determination and configuration of<br />

the Work Breakdown Structure (WBS).<br />

The WBS coding structure provides the<br />

means whereby third-party software<br />

tools can be made available for data<br />

queries and combined to provide<br />

unique reporting insight. With the<br />

use of an enterprise WBS, individual<br />

systems can be added or removed over<br />

the course of a project life cycle without<br />

interrupting the use or effectiveness of<br />

an overall iPMIS, all while keeping data<br />

integrity intact among applications in<br />

use.<br />

The key to getting an iPMIS system<br />

set up correctly is to utilize project<br />

control professionals in setting up<br />

commercial platforms for managing<br />

cost, schedule, risk, document control,<br />

44


Vol. 3 • Issue 2<br />

Integrated Project Management Information Systems<br />

Accessibility<br />

• Ability to easily set security and<br />

permissions to project data<br />

• Web-based accessibility from<br />

anywhere in the world with an<br />

internet connection<br />

• Ease of access to multiple disparate<br />

applications<br />

• Single source access to all relevant<br />

project data<br />

iPMIS implementation phases<br />

The implementation of an iPMIS<br />

system on a project is improved by<br />

applying proven methodologies for<br />

delivery. Although each project is<br />

unique, the implementation process<br />

usually evolves through the following<br />

path:<br />

Project dashboard showing integration from schedule, cost, risk and other project management<br />

applications<br />

Project dashboard showing integration<br />

from schedule, cost, risk and other project<br />

management applications<br />

and other applications used to provide<br />

project information to decision makers.<br />

Properly configured, these tools<br />

provide the core software infrastructure<br />

backbone. As these systems are<br />

updated, the iPMIS system will provide<br />

a combined suite of applications with<br />

accurate information.<br />

iPMIS benefits<br />

Benefits of implementing an iPMIS<br />

solution can be summarized into three<br />

distinct areas:<br />

Cost<br />

• Fewer user licenses for applications<br />

are required<br />

• Reduced analytical labor costs in<br />

producing project reports<br />

• Standardization costs are greatly<br />

reduced<br />

• Reduced new software costs resulting<br />

from the leveraging of existing clientowned<br />

software<br />

• Leveraging existing client-owned<br />

software results in a reduction of new<br />

software purchases<br />

Efficiency<br />

• Dashboards present summarized<br />

project data, schedule, cost, and risk<br />

status on one screen<br />

• Customized user interfaces with<br />

specific views of project information<br />

• The ability to access many<br />

applications from one centralized<br />

location<br />

• Users can generate their own query<br />

information<br />

• The WBS provides an intuitive<br />

structure that organizes project data<br />

and information in a way that is<br />

easily understood by the user<br />

Phase I - project definition<br />

During project definition, iPMIS<br />

teams work to identify what software<br />

tools will be needed to manage the<br />

project, based on client and/or project<br />

requirements. It is not unusual for<br />

clients to specify particular software to<br />

be utilized based on their experience or<br />

existing project-related purchases.<br />

Phase II – consolidation<br />

Business processes are further defined,<br />

streamlined, and consolidated. The<br />

WBS is created in this phase. Value<br />

engineering from a software and<br />

systems integration perspective may<br />

also take place during consolidation.<br />

Phase III – integration<br />

Selected tools are integrated into the<br />

iPMIS while conforming to the WBS<br />

coding structure. The integration<br />

process is iterative in nature, with<br />

the first iterations typically being<br />

the delivery of the iPMIS web-based<br />

portal with at least two integrated<br />

applications. The iterative approach<br />

provides a method for quickly seeing<br />

progress on the development of the<br />

long-term solution while allowing<br />

future updates to be identified and<br />

incorporated in a modular fashion.<br />

45


EFR Vol. 3 • Issue 2<br />

Phase IV – implementation<br />

Implementation usually begins<br />

following the first iteration in Phase<br />

III. Beta testing, user training and<br />

the initial rollout is conducted in this<br />

phase. An effective implementation<br />

promotes early adoption, buy-in, and<br />

eventually sets up the overall success of<br />

an iPMIS system.<br />

Phase V – maintenance<br />

As project control experts feed and<br />

manage project control applications,<br />

iPMIS is brought to life and is set to<br />

begin to evolve through the project<br />

lifecycle. Updates to commercial<br />

software and general iPMIS<br />

maintenance activities continue to<br />

be performed to ensure system<br />

integrity and to adapt the project iPMIS<br />

to changing needs.<br />

“Agile” development of iPMIS<br />

Years ago, it was assumed that the<br />

way to prevent misunderstandings<br />

was to execute a “big requirements<br />

up front” (BRUF) process. With this<br />

approach, a business analyst would<br />

solicit long drawn out requirements<br />

in great detail and would document<br />

it all in a very large specification<br />

document, quite often hundreds of<br />

pages long. Unfortunately, documents<br />

of this size are not always read by most<br />

of the key players and often become<br />

obsolete as quickly as they are written.<br />

This leads to missed requirements<br />

and a development process which is<br />

misunderstood.<br />

Another drawback with a BRUF<br />

approach is that, based on documents<br />

provided, software developers go to<br />

work to produce software that exactly<br />

matches the specification, which<br />

is often already out of date when<br />

development begins. The unfortunate,<br />

but all too often encountered, result<br />

is that by the time that the newly<br />

completed software product is<br />

unveiled, the client finds that the<br />

system identified many months earlier<br />

no longer meets project requirements.<br />

The lack of solid and clear<br />

communications will usually lead to a<br />

failed project, which is why, historically,<br />

the majority of software projects worldwide<br />

exceed cost budgets and time<br />

allocations.<br />

An effective solution to avoid common<br />

pitfalls is to utilize a type of iterative<br />

or “agile” process, using Feature<br />

Driven Development (FDD) through<br />

an iteratively staged process. This has<br />

been widely embraced throughout<br />

the software development industry.<br />

Through experience, PB has learned<br />

that an iterative approach, somewhat<br />

agilistic in nature, provides major<br />

benefits over the antiquated BRUF<br />

methodology. Using the iterative<br />

approach, if a client receives a software<br />

deliverable which turns out to be<br />

something other than was expected, it<br />

usually stems from a communications<br />

issue, not a technical one. This is what<br />

an iterative approach aims to solve. It<br />

is a proven and capable methodology<br />

in systems integration and software<br />

delivery in all industries.<br />

The iterative process does not<br />

necessarily reduce the overall delivery<br />

schedule of an iPMIS system, but it<br />

does capture requirements and deliver<br />

them in bite-sized portions, providing<br />

a more effective development process.<br />

This also reduces cost in delivering<br />

solutions on target throughout the<br />

project lifecycle.<br />

Requirements are typically gathered<br />

using a variety of means, including<br />

workshops and personal interviews.<br />

Once captured, they are packaged<br />

into small iterations or scheduled<br />

releases. With this approach projects<br />

Initial<br />

Planning •<br />

Requirements •<br />

Planning •<br />

Evaluation •<br />

Two- to<br />

Four-Week<br />

Iterations<br />

• Analysis and<br />

Design<br />

• Testing<br />

• Implementation<br />

• Deployment<br />

Image depicting the iterative lifecycle through<br />

phases of an iPMIS project<br />

can often see the first iterations of an<br />

iPMIS deployed in as little as four<br />

weeks, allowing project teams to begin<br />

realizing value at the first release. Using<br />

an iterative approach, functionality is<br />

prioritized with each iteration so as<br />

client needs change, so can the iPMIS<br />

deliverable.<br />

Two main benefits to this type of agile<br />

approach include:<br />

1. Decreasing project risk and allowing<br />

the initial budget for an iPMIS<br />

system to match only what it takes to<br />

get to the first release.<br />

2. Encouraging buy-in to the iPMIS<br />

project, which is critical for project<br />

success. Buy-in is enhanced greatly<br />

since key decision makers can<br />

quickly see and comprehend the<br />

value of an iPMIS system within<br />

a few weeks of the start date.<br />

Additional iterations are often<br />

released in as little as two-week<br />

increments allowing project team<br />

members to see the changes and<br />

update requests made only days<br />

earlier.<br />

In summary, the FDD approach<br />

provides clients and project team<br />

members with the ability to make<br />

changes to an iPMIS master program at<br />

each step along the development path,<br />

providing a best fit for their project and<br />

ultimately for success.<br />

Proven iPMIS success<br />

PB has several active iPMIS projects<br />

in place. Functional and third-party<br />

software applications are typically<br />

included in these projects.<br />

The goal of PB’s iPMIS systems is<br />

to incorporate a Services Oriented<br />

Architecture (SOA), which is a service<br />

used in software delivery whereby<br />

web parts can be published and/or<br />

consumed by other applications. SOA<br />

provides the ability for reuse among<br />

many common iPMIS integrations. For<br />

example, a web part for integrating<br />

46


Vol. 3 • Issue 2<br />

Integrated Project Management Information Systems<br />

to Primavera P6 may be reused by<br />

many iPMIS applications. Over time,<br />

libraries of web parts are created which<br />

provide the ability to deliver iPMIS<br />

systems much faster than traditional<br />

deliveries, all while greatly reducing<br />

risk. By combining the knowledge<br />

of the Architectural Engineering<br />

Construction (AEC) domain and project<br />

control systems and processes, PB will<br />

continue to place itself in a unique<br />

position to provide iPMIS systems as<br />

strong differentiators to their clients<br />

well into the future.<br />

Perhaps the most exciting element of<br />

iPMIS systems is the fact that clients<br />

are enthusiastically accepting the value<br />

proposition they provide. Clients and<br />

project teams have quickly embraced<br />

this technology and approach. The<br />

immediate benefits iPMIS provides<br />

become obvious once an iPMIS is<br />

implemented. Past tool investments<br />

that have not been realized as well as<br />

lagging business processes can quickly<br />

take on new life in an integrated<br />

fashion, all shaped to enhance the<br />

strategic vision of an organization.<br />

Costs are decreased while efficiencies<br />

are gained through leveraging<br />

applications and business-based<br />

workflows through an iPMIS system.<br />

The increasingly popular integrated<br />

approach to project management<br />

information systems will continue to be<br />

the way forward in the AEC industry<br />

for many years to come. •<br />

iPMIS dashboard listing schedule and overall project health indicators<br />

Functional and third-party software applications<br />

typically included in iPMIS projects. iPMIS can<br />

be applied to work with most functions and<br />

commercial software.<br />

Project Control<br />

Function<br />

Financial<br />

Management<br />

Scheduling<br />

Contract<br />

Administration<br />

Cost Estimating<br />

Risk Management<br />

Data Management<br />

Typical Commercial<br />

Software<br />

Oracle Financials, PRISM,<br />

Primavera P6<br />

Primavera P6, Microsoft<br />

Project<br />

Contract Manager,<br />

Meridian, others<br />

Timberline, WinEst, others<br />

Pertmaster, Palisade @Risk<br />

SharePoint, other<br />

commercial systems<br />

For more information please contact:<br />

John Saroufim, Director of Program<br />

Management Systems TEC<br />

+1-617-960-4812<br />

Saroufim@pbworld.com<br />

Gino Monteferrante, Director of<br />

Project Controls<br />

+1-407-353-2118<br />

Monteferrante@pbworld.com<br />

Randy Ivory, Director of Project<br />

Information Management<br />

+1-303-390-5835<br />

Ivoryr@pbworld.com<br />

Author:<br />

Randy Ivory has 18 years experience and specializes in web-based<br />

project management systems. He is Director of the Project Information<br />

Management group within the Program Management Systems Technical<br />

Excellence Center.<br />

M.S., Business Information Systems, Utah State University;<br />

B.A., Behavioral Science and Health, University of Utah<br />

Ivoryr@pbworld.com<br />

47


EFR Vol. 3 • Issue 2<br />

Sustainable Scenario Planning with CarbonFIT<br />

by<br />

Jignesh Mehta<br />

ACCORDING to the U.S.<br />

EPA, about 28 percent, of the<br />

total greenhouse gas (GHG)<br />

emissions in the U.S. comes from the<br />

transportation sector. The residential<br />

and commercial sectors generate about<br />

18 percent and 17 percent, respectively,<br />

of GHG emissions which include<br />

emissions from lighting, heating,<br />

cooling, appliances, cooking, and other<br />

activities. Since 1990, the emissions<br />

from transportation, commercial, and<br />

residential sectors have gone up by<br />

about 30 percent, outpacing emissions<br />

from all other sectors, including the<br />

industrial sector.<br />

Recognizing the urgency to curb<br />

emissions from these sectors, many<br />

states and local governments across the<br />

U.S. have established GHG reduction<br />

targets and passed legislation to reduce<br />

the GHG emissions. The State of<br />

California, for example, has adopted<br />

the 2006 Global Warming Solutions<br />

Act (AB 32) setting a state-wide target<br />

to reduce GHG emissions to 1990<br />

levels or less by the year 2020, and 80<br />

percent lower than that by 2050. Also,<br />

California recently passed a landmark<br />

legislation (SB 375) that requires<br />

the California Air Resources Board<br />

(CARB) to set GHG emission reduction<br />

targets for passenger and light duty<br />

vehicles for the years 2020 and 2035 in<br />

each of its 18 Metropolitan Planning<br />

Organization (MPO) regions. This has<br />

obliged the MPOs to integrate land<br />

use and transportation planning by<br />

adopting a Sustainable Communities<br />

Strategy (SCS) as part of their Regional<br />

Transportation Plan (RTP) process.<br />

MPOs are required to work with the<br />

local communities in a bottom-up<br />

scenario planning process to prepare<br />

the strategy that meets the regional<br />

targets.<br />

Agriculture<br />

7%<br />

Residential<br />

17%<br />

Industry<br />

30%<br />

U.S. greenhouse gas <br />

emissions profile<br />

Commercial<br />

18%<br />

Transportation<br />

28%<br />

source: EPA<br />

California is not alone in this effort<br />

to reduce the carbon footprint. Many<br />

other states are actively preparing their<br />

climate action plans and updating<br />

their comprehensive plans to integrate<br />

land use and transportation to reduce<br />

GHG emissions. It is critical to<br />

develop a long-range plan to reduce<br />

GHG emissions at neighborhood,<br />

community, or regional levels.<br />

Traditionally, planning processes have<br />

primarily focused on land use changes<br />

and the impact on travel demand and<br />

transportation network. But now there<br />

is a new awareness and an urgency to<br />

look at how potential changes in land<br />

use and transportation will impact a<br />

community’s carbon footprint, GHG<br />

emissions, energy consumption, and<br />

other factors.<br />

One of the biggest challenges of such<br />

planning processes is to quickly build<br />

and evaluate a series of test scenarios<br />

without involving complex, expensive,<br />

and time-consuming travel demand<br />

modeling. A sketch-level scenario<br />

evaluation tool that allows quick<br />

comparative evaluation of the land<br />

use and transportation scenarios for<br />

their GHG emissions, carbon footprint<br />

and energy consumption is key to the<br />

planning processes.<br />

48


Vol. 3 • Issue 2<br />

Sustainable Scenario Planning with CarbonFIT<br />

Scenario building with<br />

CarbonFIT<br />

CarbonFIT is sketch planning<br />

tool that combines algorithms to<br />

estimate greenhouse gas emissions<br />

with power of GIS to visualize and<br />

compare various scenarios with<br />

a “business-as-usual” scenario.<br />

CarbonFIT’s interactive mapping<br />

and visualization ability allows the<br />

viewing of alternative scenarios and<br />

their impact on demographic, travel,<br />

and environmental factors in real time.<br />

With its live mapping and graphic<br />

interface, CarbonFIT can be also useful<br />

in participatory exercises with policy<br />

makers, planners, and stakeholders.<br />

How does CarbonFIT work?<br />

CarbonFIT uses the “business-as-usual”<br />

land use layer as a starting point. Once<br />

set up with project specific datasets,<br />

assumptions, and coefficients, it allows<br />

users to create alternative land use<br />

and transportation scenarios. Using<br />

the map interface, users select areas<br />

for development or redevelopment<br />

and apply appropriate land use<br />

mix and densities from the land use<br />

menu. CarbonFIT also allows varying<br />

transportation factors such as trip rates,<br />

average fuel efficiency, or parking<br />

pricing using a set of slider bars.<br />

CarbonFIT scenario comparison<br />

Once applied, these changes<br />

immediately trigger a fresh run of<br />

indicator formulas that calculate<br />

emissions from two sources: auto trips<br />

generated by the land use, and energy<br />

consumption for the building type.<br />

CarbonFIT evaluates land use for its<br />

proximity to transit, its mixed-use<br />

characteristics and density to apply<br />

appropriate trip reduction factors. The<br />

results are immediately reflected on the<br />

maps and bar charts. The interface also<br />

allows a quick comparison with other<br />

scenarios and shows a warning sign if<br />

thresholds are crossed.<br />

CarbonFIT can be used at various<br />

scales, from neighborhood or urban<br />

centers to the county or regional levels<br />

with multiple sub-areas. CarbonFIT can<br />

CarbonFIT visualization<br />

also provide an interface with regional<br />

transportation models. Depending<br />

on project needs, it can be set up to<br />

provide various outputs at traffic<br />

analysis zone (TAZ) levels. This is<br />

especially helpful in projects where<br />

the preferred scenarios are taken to the<br />

next level of scrutiny using regional<br />

transportation models.<br />

Sustainable scenario building<br />

for Tysons Corner<br />

A planning and urban design project<br />

for Tysons Corner, Virginia was<br />

the genesis of the carbon footprint<br />

estimation methods that evolved to<br />

form the backbone of CarbonFIT.<br />

49


EFR Vol. 3 • Issue 2<br />

PB was hired to help Fairfax County,<br />

Virginia develop a new long-range<br />

vision and urban design plan for<br />

Tysons Corner. The vision for Tysons<br />

Corner is a transformation from a<br />

classic auto-based “edge city” into<br />

a livable, walkable, transit-oriented<br />

downtown with four new heavy rail<br />

stations. To achieve this transformation,<br />

it needed an integrated planning and<br />

urban design approach that is informed<br />

by rigorous scenario analysis.<br />

Currently, Tysons Corner has about<br />

45 million square feet of floor space,<br />

including residential, office, and<br />

retail space. Over 2,000 neighborhood<br />

residents, business owners, developers,<br />

and other stakeholders participated<br />

in a series of community workshops<br />

and public meetings. They helped<br />

develop various land use and density<br />

alternatives, ranging from 200 percent<br />

to 300 percent more floor space than<br />

existing. The alternatives added mixed<br />

use developments in walkable street<br />

patterns and concentrated density<br />

around transit stations.<br />

Tysons Corner alternative scenario<br />

To evaluate the alternatives for their<br />

carbon emissions, PB developed a<br />

special method that estimated carbon<br />

emissions from two sources: auto trips<br />

generated by the land uses, and energy<br />

consumption according to the building<br />

type. This method was developed<br />

further and integrated with GIS-based<br />

CommunityViz platform used in<br />

CarbonFIT.<br />

The analysis found the preferred<br />

alternative with 175 percent more<br />

development to have a 16 percent<br />

smaller carbon footprint than the<br />

current plan scenario. The preferred<br />

alternative will form the basis for<br />

the comprehensive plan for Tysons<br />

Corner. The ability to demonstrate<br />

carbon savings associated with transitoriented,<br />

denser, and well-designed<br />

development, with analytic rigor, and<br />

in a user-friendly format, is extremely<br />

useful to planning and future transit<br />

development projects. •<br />

Tysons Corner stakeholder workshop<br />

Author:<br />

Jignesh Mehta is a senior urban designer and planner with experience in<br />

urban design for transit-oriented developments to land use-transportation<br />

planning and regional growth management. Jignesh specializes in<br />

sustainable scenario planning and impact analysis.<br />

M.U.P., University of Illinois, Chicago;<br />

B.A., CEPT, India<br />

mehta@pbworld.com<br />

50


About the Cover<br />

The construction of the Rosa Parks Transit Center, a new<br />

multimodal facility in downtown Detroit (Michigan),<br />

was completed in 2009. The $22.5 million project was<br />

designed by <strong>Parsons</strong> <strong>Brinckerhoff</strong> (PB) on behalf of the<br />

Detroit Department of Transportation (DDOT).<br />

Located at Michigan and Cass Avenues, the Rosa Parks<br />

Transit Center is a 25,000 square-foot indoor facility<br />

with over two acres of exterior transit access. It enables<br />

customers to make connections to 21 DDOT bus routes,<br />

the SMART suburban bus system, Transit Windsor for<br />

international connections, and taxi access in a single<br />

downtown transportation hub. It also provides pedestrian<br />

connectivity to the Detroit People Mover stations at<br />

Michigan and Times Square, and was planned to eventually<br />

connect to the city’s future light rail transit system. The<br />

center offers travelers such services as on-site security,<br />

restrooms, information booth, cashier’s office, café, retail<br />

and automatic ticket vending.<br />

The design of the new station is light and airy, highlighted<br />

by seven, cloud-like fabric canopies. Made of a tough,<br />

flexible glass coated fiber, the canopies offer both form<br />

and function, providing the openness of a park-like setting<br />

combined with the strength to hold up to Michigan’s ever<br />

changing and sometimes intense weather conditions. The<br />

canopies are designed to funnel rainwater to unoccupied<br />

garden areas, providing nourishment for plants and a<br />

pleasant environment for transit customers.<br />

The Detroit Free Press has called the transit center “a<br />

thoroughly modern facility with the look and feel of an<br />

airport terminal. The design inspiration for the sharply<br />

angled building and adjacent covered area comes from the<br />

image of an airplane wing in the clouds.”<br />

Previous issues of EFR can be accessed via:<br />

http://www.pbworld.com/news_events/publications/efr<br />

Disclaimer:<br />

The information in the EFR has been obtained from<br />

and is based upon sources believed to be reliable; however we do not guarantee its accuracy and it may be incomplete<br />

or condensed. As such, this publication is not to be relied upon in substitution for the exercise of your independent judgment.

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