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Transportation's Role in Reducing U.S. Greenhouse Gas Emissions ...

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Transportation’s <strong>Role</strong> <strong>in</strong> Reduc<strong>in</strong>g U.S. <strong>Greenhouse</strong> <strong>Gas</strong> <strong>Emissions</strong>: Volume 2<br />

Magnitude and Tim<strong>in</strong>g of GHG Reductions<br />

The VMT reduction effects of congestion pric<strong>in</strong>g can be calculated us<strong>in</strong>g the same elasticity<br />

assumptions as for other pric<strong>in</strong>g measures addressed <strong>in</strong> this study. Further assum<strong>in</strong>g that<br />

a congestion fee is applied to all freeways and arterials operat<strong>in</strong>g at level of service E or<br />

worse, the proportion of VMT subject to congestion pric<strong>in</strong>g is estimated to be 29 percent <strong>in</strong><br />

urban areas and 7 percent <strong>in</strong> rural areas across all functional classes of roads. 11<br />

It should be noted that this is a very rough approximation. It does not account for any<br />

<strong>in</strong>creases <strong>in</strong> off-peak travel if people simply shift the time of their trip rather than forgo<strong>in</strong>g<br />

it or choos<strong>in</strong>g an alternative mode. Sophisticated regional models are needed to analyze<br />

more sensitively the necessary congestion fees and their impacts, which would vary<br />

substantially by facility and by time of day.<br />

5-26<br />

Apply<strong>in</strong>g<br />

an average fee of 65 cents per mile, which is the price estimated to be necessary to improve<br />

level of service to D on these roads, the result is approximately a 20 percent reduction <strong>in</strong><br />

peak period traffic levels or an overall VMT reduction of 3.1 percent. Account<strong>in</strong>g for fuel<br />

sav<strong>in</strong>gs from reduced delay as well, this results <strong>in</strong> a GHG reduction of 35 mmt CO2e <strong>in</strong><br />

2030. Lesser reductions would be achieved at lower fee levels, or if congestion pric<strong>in</strong>g<br />

applications are not universal.<br />

Regional simulations us<strong>in</strong>g travel demand models have been conducted <strong>in</strong> a few<br />

metropolitan areas. A study <strong>in</strong> the Wash<strong>in</strong>gton, D.C., region concluded that a<br />

comprehensive distance-based toll, with tolls vary<strong>in</strong>g by time of day, would result <strong>in</strong> an<br />

average cost of 3.3 cents per mile and an overall VMT reduction of 7.1 percent. Just<br />

apply<strong>in</strong>g the variable toll to freeways would reduce VMT by 2.1 percent (Harr<strong>in</strong>gton,<br />

Houde, and Safirova, 2007). Another study for the U.S. Department of Energy used travel<br />

demand models <strong>in</strong> M<strong>in</strong>neapolis–St. Paul and Seattle, <strong>in</strong> conjunction with speed-fuel<br />

efficiency relationships, to evaluate the comb<strong>in</strong>ed benefits of travel reductions and<br />

operat<strong>in</strong>g efficiencies from areawide systems of managed lanes. 12<br />

The results from<br />

different scenarios ranged from an 0.1 percent impact on fuel consumption and GHG<br />

emissions to 2.5 percent depend<strong>in</strong>g upon the scenario. Extrapolat<strong>in</strong>g these results to a<br />

national level based on projected 2030 congestion levels <strong>in</strong> different urbanized areas led to<br />

an overall estimated reduction <strong>in</strong> national fuel consumption rang<strong>in</strong>g from 0.5 to<br />

1.1 percent (EEA, 2008), which would correspond to a reduction of 9 to 21 mmt CO2e <strong>in</strong><br />

2030.<br />

11 “Level of service” is a measure of roadway performance that ranges from A (best) to F (worst). It<br />

is based on traffic volumes for freeways, and on <strong>in</strong>tersection delay for arterial streets. The<br />

estimate of future mileage operat<strong>in</strong>g at level of service E or worse is based on forecasts of<br />

congestion by FHWA under various scenarios (U.S. DOT, 2006).<br />

12 These systems <strong>in</strong>cluded high-occupancy/toll (HOT) lanes on freeways, <strong>in</strong> which drivers of s<strong>in</strong>gleoccupancy<br />

vehicles can use the lane if they pay a fee which depends upon the congestion on the<br />

nontolled travel lanes. Depend<strong>in</strong>g upon the scenario, either exist<strong>in</strong>g/planned high-occupancy<br />

vehicle (HOV) lanes were converted to HOT lanes, or a new HOT lane was constructed alongside<br />

an exist<strong>in</strong>g/planned HOV lane to form two HOT lanes.

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