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Commercial Fleet Demand for Alternative-Fuel Vehicles in California

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

Abstract

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

Suggested Citation

  • Golob, Thomas F. & Torous, Jane & Bradley, Mark & Brownstone, David & Crane, Soltani & Bunch, David, 1996. "Commercial Fleet Demand for Alternative-Fuel Vehicles in California," University of California Transportation Center, Working Papers qt6w21311n, University of California Transportation Center.
  • Handle: RePEc:cdl:uctcwp:qt6w21311n
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    References listed on IDEAS

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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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    Cited by:

    1. Brand, Christian & Anable, Jillian & Tran, Martino, 2013. "Accelerating the transformation to a low carbon passenger transport system: The role of car purchase taxes, feebates, road taxes and scrappage incentives in the UK," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 132-148.
    2. Zhang, Yong & Yu, Yifeng & Zou, Bai, 2011. "Analyzing public awareness and acceptance of alternative fuel vehicles in China: The case of EV," Energy Policy, Elsevier, vol. 39(11), pages 7015-7024.
    3. Becky Loo & S. Wong & Timothy Hau, 2006. "Introducing alternative fuel vehicles in Hong Kong: views from the public light bus industry," Transportation, Springer, vol. 33(6), pages 605-619, November.
    4. Helveston, John Paul & Liu, Yimin & Feit, Elea McDonnell & Fuchs, Erica & Klampfl, Erica & Michalek, Jeremy J., 2015. "Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the U.S. and China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 73(C), pages 96-112.
    5. Koetse, Mark J. & Hoen, Anco, 2014. "Preferences for alternative fuel vehicles of company car drivers," Resource and Energy Economics, Elsevier, vol. 37(C), pages 279-301.
    6. Dimitropoulos, Alexandros & Rietveld, Piet & van Ommeren, Jos N., 2013. "Consumer valuation of changes in driving range: A meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 55(C), pages 27-45.
    7. Hardman, Scott & Shiu, Eric & Steinberger-Wilckens, Robert & Turrentine, Thomas, 2017. "Barriers to the adoption of fuel cell vehicles: A qualitative investigation into early adopters attitudes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 166-182.
    8. Beck, Matthew J. & Rose, John M. & Hensher, David A., 2013. "Environmental attitudes and emissions charging: An example of policy implications for vehicle choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 171-182.
    9. Hardman, Scott & Shiu, Eric & Steinberger-Wilckens, Robert, 2016. "Comparing high-end and low-end early adopters of battery electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 40-57.
    10. Alexandros Dimitropoulos & Piet Rietveld & Jos N. van Ommeren, 2011. "Consumer Valuation of Driving Range: A Meta-Analysis," Tinbergen Institute Discussion Papers 11-133/3, Tinbergen Institute.
    11. Daziano, Ricardo A. & Chiew, Esther, 2012. "Electric vehicles rising from the dead: Data needs for forecasting consumer response toward sustainable energy sources in personal transportation," Energy Policy, Elsevier, vol. 51(C), pages 876-894.
    12. Seitz, Claudio S. & Beuttenmüller, Oliver & Terzidis, Orestis, 2015. "Organizational adoption behavior of CO2-saving power train technologies: An empirical study on the German heavy-duty vehicles market," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 247-262.
    13. repec:eee:enepol:v:109:y:2017:i:c:p:350-359 is not listed on IDEAS
    14. Daziano, Ricardo A., 2013. "Conditional-logit Bayes estimators for consumer valuation of electric vehicle driving range," Resource and Energy Economics, Elsevier, vol. 35(3), pages 429-450.

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