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Assessment of Fuel Economy Technologies for Medium and Heavy ...

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Oum et al 4 collected 17 estimates <strong>of</strong> freight transportation dem<strong>and</strong> price elasticities. The authors<br />

focused on self-price elasticities <strong>and</strong> presented elasticity figures as both a range <strong>and</strong> a most likely<br />

estimate. The authors found that transportation is relatively inelastic since it is a derived dem<strong>and</strong><br />

– transportation dem<strong>and</strong> only exists because there is dem<strong>and</strong> <strong>for</strong> other products or services –<br />

with the exception <strong>of</strong> freight shipments that are subject to intermodal rail competition. The paper<br />

found truck self-price elasticity to fall in the range <strong>of</strong> -0.05 to -1.34 with the most likely range <strong>of</strong><br />

-0.7 to -1.10 (the measures <strong>of</strong> dem<strong>and</strong> were not identified <strong>and</strong> varied by study). 5 Furthermore,<br />

while the general literature on road transportation elasticities has distinguished short-run vs.<br />

long-run effects, this has not typically been done in the literature on truck elasticities.<br />

A more recent study by Christides <strong>and</strong> Leduc reviewed recent price elasticity literature <strong>for</strong> use in<br />

a truck size <strong>and</strong> weight study <strong>for</strong> the European Commission. 6 The literature review collected<br />

self-price elasticities ranging from -0.3 <strong>and</strong> -1.75 <strong>and</strong> cross-price elasticities ranging from 0.11 to<br />

1.9. For use in their study, they selected values <strong>of</strong> -0.416 <strong>for</strong> truck self-price elasticity, measured<br />

in tons, <strong>and</strong> 0.38 <strong>for</strong> rail cross-price elasticity, measured in tons.<br />

Graham <strong>and</strong> Glaister, 7 in a comprehensive review <strong>of</strong> recent price elasticity results, found that<br />

truck self-price elasticity is likely to fall between -0.5 <strong>and</strong> -1.5, but did not identify a dem<strong>and</strong><br />

measure. The Federal Highway Administration (FHWA) used a self-price elasticity <strong>of</strong> -0.97,<br />

measured in vehicle-miles, <strong>for</strong> a freight benefit <strong>and</strong> cost study. 8 A study <strong>for</strong> the National<br />

Cooperative Highway Research Program 9 cited a rail cross-price elasticity <strong>of</strong> 0.52 based on the<br />

Intermodal Competition Model 10 <strong>and</strong> identified a range <strong>of</strong> cross-price elasticities between 0.35<br />

<strong>and</strong> 0.59 from an analysis <strong>of</strong> Class 1 railroads. 11<br />

Approach: To estimate the potential rebound effects <strong>and</strong> resulting effects on fuel consumption it<br />

is necessary to describe a base case <strong>and</strong> to develop potential fuel economy improvement<br />

alternatives. It is necessary <strong>for</strong> the base case to describe current truck <strong>and</strong> rail volumes; truck <strong>and</strong><br />

rail fuel economy; truck <strong>and</strong> rail fuel consumption; average truck operating cost per-mile; <strong>and</strong><br />

truck purchase price. For alternatives, it is necessary to describe the potential fuel consumption<br />

4<br />

Oum, Waters, <strong>and</strong> Jong Say Yong, ―A Survey <strong>of</strong> Recent Estimates <strong>of</strong> Price Elasticities <strong>of</strong> Dem<strong>and</strong> <strong>for</strong><br />

Transport,‖ prepared <strong>for</strong> the World Bank, Infrastructure <strong>and</strong> Urban Development Department, January<br />

1990.<br />

5<br />

While the authors find that dem<strong>and</strong> is ―relatively inelastic‖ this is not always the case, as an elasticity<br />

<strong>of</strong> 1.0 or -1.0 can be considered a dividing line between ―elastic‖ <strong>and</strong> ―inelastic,‖ with higher (absolute)<br />

values considered elastic.<br />

6<br />

Christidis <strong>and</strong> Leduc, ―Longer <strong>and</strong> Heavier Vehicles <strong>for</strong> freight transport,‖ European Commission Joint<br />

Research Center‘s Institute <strong>for</strong> Prospective Technology Studies, 2009.<br />

7<br />

Graham <strong>and</strong> Glaister, ―Road Traffic Dem<strong>and</strong> Elasticity Estimates: A Review,‖ Transport Reviews<br />

Volume 24, 3, pp. 261-274, 2004.<br />

8<br />

HDR-HLB Decision Economics, Inc. <strong>and</strong> ICF International, Freight Benefit/Cost Study: Phase III Analysis<br />

<strong>of</strong> Regional Benefits <strong>of</strong> Highway-Freight Improvements, prepared <strong>for</strong> the Federal Highway Administration<br />

Office <strong>of</strong> Freight Management <strong>and</strong> Operations, February 2008.<br />

9<br />

Cambridge Systematics, Inc., Characteristics <strong>and</strong> Changes in Freight Transportation Dem<strong>and</strong>: A Guidebook<br />

<strong>for</strong> Planners <strong>and</strong> Policy Analysts Phase II Report, National Cooperative Highway Research Program<br />

Project 8-30, June 1995.<br />

10<br />

Scott M. Dennis, The Intermodal Competition Model, Association <strong>of</strong> American Railroads, September 1988.<br />

11<br />

J. Jones, F. Nix, <strong>and</strong> C. Schwier, The Impact <strong>of</strong> Changes in Road User Charges on Canadian Railways,<br />

prepared <strong>for</strong> Transport Canada by the Canadian Institute <strong>of</strong> Guided Ground Transport, Kingston,<br />

Ontario, September 1990.<br />

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