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Commercial Fleet Demand for Alternative-Fuel Vehicles in California

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  • 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.

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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    Cited by:

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    2. Kuby, Michael, 2019. "The opposite of ubiquitous: How early adopters of fast-filling alt-fuel vehicles adapt to the sparsity of stations," Journal of Transport Geography, Elsevier, vol. 75(C), pages 46-57.
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    5. 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.
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    8. 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.
    9. Gnann, Till & Plötz, Patrick & Funke, Simon & Wietschel, Martin, 2014. "What is the market potential of electric vehicles as commercial passenger cars? A case study from Germany," Working Papers "Sustainability and Innovation" S14/2014, Fraunhofer Institute for Systems and Innovation Research (ISI).
    10. 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.
    11. Alali, Layla & Niesten, Eva & Gagliardi, Dimitri, 2022. "The impact of UK financial incentives on the adoption of electric fleets: The moderation effect of GDP change," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 200-220.
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    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. Cantillo, Víctor & Amaya, Johanna & Serrano, Iván & Cantillo-García, Víctor & Galván, Janer, 2022. "Influencing factors of trucking companies willingness to shift to alternative fuel vehicles," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    18. Jiali Yu & Peng Yang & Kai Zhang & Faping Wang & Lixin Miao, 2018. "Evaluating the Effect of Policies and the Development of Charging Infrastructure on Electric Vehicle Diffusion in China," Sustainability, MDPI, vol. 10(10), pages 1-25, September.
    19. 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.
    20. Konstantinou, Theodora & Gkritza, Konstantina, 2023. "Are we getting close to truck electrification? U.S. truck fleet managers’ stated intentions to electrify their fleets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    21. Danielis, Romeo & Scorrano, Mariangela & Giansoldati, Marco & Rotaris, Lucia, 2019. "A meta-analysis of the importance of the driving range in consumers’ preference studies for battery electric vehicles," Working Papers 19_2, SIET Società Italiana di Economia dei Trasporti e della Logistica.
    22. Kelley, Scott & Kuby, Michael, 2017. "Decentralized refueling of compressed natural gas (CNG) fleet vehicles in Southern California," Energy Policy, Elsevier, vol. 109(C), pages 350-359.
    23. Kluschke, Philipp & Uebel, Maren & Wietschel, Martin, 2019. "Alternative Antriebe im straßengebundenen Schwerlastverkehr: Eine quantitative Ermittlung der Nutzeranforderungen an schwere Lkw und deren Infrastruktur," Working Papers "Sustainability and Innovation" S05/2019, Fraunhofer Institute for Systems and Innovation Research (ISI).
    24. 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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