ECONOMIC FORECASTING REVIEW - Parsons Brinckerhoff
ECONOMIC FORECASTING REVIEW - Parsons Brinckerhoff
ECONOMIC FORECASTING REVIEW - Parsons Brinckerhoff
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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.