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Commercial Fleet Demand for Alternative-Fuel Vehicles in California

Listed author(s):
  • Golob, Thomas F.
  • Torous, Jane
  • Bradley, Mark
  • Brownstone, David
  • Crane, Soltani
  • Bunch, David

Fleet demand for alternative-fuel vehicles ('AFVs' operating on fuels such as electricity, compressed natural gas, or methanol) is investigated through an analysis of a 1994 survey of 2000 fleet sites in California. This survey gathered information on site characteristics, awareness, of mandates and incentives for AFV operation, and AFV purchase intentions. The survey also contained stated preference tasks in which fleet decision makers simulated fleet-replacement purchases by indicating how they would allocate thier choices across a 'selector list' of hypothetical future vehicles. a discrete choice model was estimated to obtain preference tradeoffs for fuel types and other vehicle attributes. The overall tradeoff between vehicle range and vehicle capital cost in the sample was $80/mile of range, but with some variation by fleet sector. The availability (density) of off-site alternative fuel stations was important in fleet operators, indicating that fleets are willing to trade off more fuel infrastructure for changes in other attributes e.g. increased capital or operating costs, or more limited vehicle range. Public fleets (local and county governement) were the most sensitive to the capital cost of new vehicles. Along with school, they are the onley fleet sector where reduced tailpipe emission levels are a significant predictor of vehicle choice. Fleet operators in the private sector base thier vehicle selection less on environment concerns than on practical operational needs.Â

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File URL: http://www.escholarship.org/uc/item/6w21311n.pdf;origin=repeccitec
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Paper provided by University of California Transportation Center in its series University of California Transportation Center, Working Papers with number qt6w21311n.

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Date of creation: 20 Jun 1996
Handle: RePEc:cdl:uctcwp:qt6w21311n
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  1. Hill, Daniel H, 1987. "Derived Demand Estimation with Survey Experiments: Commercial Electric Vehicles," The Review of Economics and Statistics, MIT Press, vol. 69(2), pages 277-285, May.
  2. Hausman, Jerry & McFadden, Daniel, 1984. "Specification Tests for the Multinomial Logit Model," Econometrica, Econometric Society, vol. 52(5), pages 1219-1240, September.
  3. Brownstone, David & Bunch, David S. & Golob, Thomas F., 1994. "A Demand Forecasting System for Clean-Fuel Vehicles," University of California Transportation Center, Working Papers qt79c3g7xv, University of California Transportation Center.
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