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Impact of Service Station Networks on Purchase Decisions of Alternative-fuel Vehicles


  • Achtnicht, Martin
  • Bühler, Georg
  • Hermeling, Claudia


In this paper we analyze the impact of service station availability on the demand for alternative-fuel vehicles and the consumers' willingness to pay for an enlarged fueling infrastructure. We examine a stated preferences choice experiment conducted as a CAPI survey with about 600 interviews of potential car buyers in Germany and estimate the coefficients of a discrete choice model. We simulate different scenarios and analyze how individual choice probabilities for alternative fuel-types are changing with a modified fueling infrastructure. In our scenarios hybrids, LPG/CNG and hydrogen will be real alternatives to the existing conventional technologies. However, biofuels and electric power trains are well behind even in a situation where their infrastructure is equally developed. Moreover, on the basis of our model we compute what increases in fixed or variable costs consumers of different income groups are willing to accept for an increasing station density.

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  • Achtnicht, Martin & Bühler, Georg & Hermeling, Claudia, 2008. "Impact of Service Station Networks on Purchase Decisions of Alternative-fuel Vehicles," ZEW Discussion Papers 08-088, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  • Handle: RePEc:zbw:zewdip:7430

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    References listed on IDEAS

    1. McCarthy, Patrick S, 1996. "Market Price and Income Elasticities of New Vehicles Demand," The Review of Economics and Statistics, MIT Press, vol. 78(3), pages 543-547, August.
    2. Hensher, David A., 2010. "Hypothetical bias, choice experiments and willingness to pay," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 735-752, July.
    3. Horne, Matt & Jaccard, Mark & Tiedemann, Ken, 2005. "Improving behavioral realism in hybrid energy-economy models using discrete choice studies of personal transportation decisions," Energy Economics, Elsevier, vol. 27(1), pages 59-77, January.
    4. Martin Achtnicht, 2012. "German car buyers’ willingness to pay to reduce CO 2 emissions," Climatic Change, Springer, vol. 113(3), pages 679-697, August.
    5. Brownstone, David & Bunch, David S. & Train, Kenneth, 2000. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 315-338, June.
    6. Axsen, Jonn & Mountain, Dean C. & Jaccard, Mark, 2009. "Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles," Resource and Energy Economics, Elsevier, vol. 31(3), pages 221-238, August.
    7. Farrell, Joseph & Saloner, Garth, 1986. "Installed Base and Compatibility: Innovation, Product Preannouncements, and Predation," American Economic Review, American Economic Association, vol. 76(5), pages 940-955, December.
    8. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    9. Brownstone, David & Bunch, David S & Golob, Thomas F & Ren, Weiping, 1996. "A Transactions Choice Model for Forecasting Demand for Alternative-Fuel Vehicles," University of California Transportation Center, Working Papers qt3sm7w9zk, University of California Transportation Center.
    10. David Hensher & Matthew Beck & John Rose, 2011. "Accounting for Preference and Scale Heterogeneity in Establishing Whether it Matters Who is Interviewed to Reveal Household Automobile Purchase Preferences," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(1), pages 1-22, May.
    11. Mau, Paulus & Eyzaguirre, Jimena & Jaccard, Mark & Collins-Dodd, Colleen & Tiedemann, Kenneth, 2008. "The 'neighbor effect': Simulating dynamics in consumer preferences for new vehicle technologies," Ecological Economics, Elsevier, vol. 68(1-2), pages 504-516, December.
    12. Moore, William L & Holbrook, Morris B, 1990. " Conjoint Analysis on Objects with Environmentally Correlated Attributes: The Questionable Importance of Representative Design," Journal of Consumer Research, Oxford University Press, vol. 16(4), pages 490-497, March.
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    Cited by:

    1. Rudolph, Christian, 2016. "How may incentives for electric cars affect purchase decisions?," Transport Policy, Elsevier, vol. 52(C), pages 113-120.
    2. Aileen Lam, 2013. "Projections of future emissions and energy use from passenger cars as a result of policies in the EU with a dynamic model of technological change," 4CMR Working Paper Series 005, University of Cambridge, Department of Land Economy, Cambridge Centre for Climate Change Mitigation Research.
    3. Biscoff, Robert & Akple, Maxwell & Turkson, Richard & Klomegah, Wise, 2012. "Scenario of the emerging shift from gasoline to LPG fuelled cars in Ghana: A case study in Ho Municipality, Volta Region," Energy Policy, Elsevier, vol. 44(C), pages 354-361.
    4. 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.
    5. J�r�me Massiani, 2013. "The use of Stated Preferences to forecast alternative fuel vehicles market diffusion: Comparisons with other methods and proposal for a Synthetic Utility Function," Working Papers 2013:12, Department of Economics, University of Venice "Ca' Foscari".
    6. Engerer, Hella & Horn, Manfred, 2010. "Natural gas vehicles: An option for Europe," Energy Policy, Elsevier, vol. 38(2), pages 1017-1029, February.
    7. Ernst, Christian-Simon & Hackbarth, André & Madlener, Reinhard & Lunz, Benedikt & Uwe Sauer, Dirk & Eckstein, Lutz, 2011. "Battery sizing for serial plug-in hybrid electric vehicles: A model-based economic analysis for Germany," Energy Policy, Elsevier, vol. 39(10), pages 5871-5882, October.
    8. Valeri, Eva & Danielis, Romeo, 2015. "Simulating the market penetration of cars with alternative fuelpowertrain technologies in Italy," Transport Policy, Elsevier, vol. 37(C), pages 44-56.
    9. Kreuzer, Fabian Maximilian & Wilmsmeier, Gordon, 2014. "Energy efficiency and mobility: A roadmap towards a greener economy in Latin America and the Caribbean," Documentos de Proyectos 602, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    10. J�r�me Massiani, 2013. "SP surveys for electric and alternative fuel vehicles: are we doing the right thing?," Working Papers 2013_01, Department of Economics, University of Venice "Ca' Foscari".
    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.

    More about this item


    Fueling Infrastructure; Alternative Fuels; Automobile Market; Stated Preferences; Discrete Choice; Network Effects;

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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