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Do Battery-Switching Systems Accelerate the Adoption of Electric Vehicles? A Stated Preference Study

Author

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  • Nobuyuki Ito

    (Center for the Promotion of Interdisciplinary Education and Research, Kyoto University)

  • Kenji Takeuchi

    (Graduate School of Economics, Kobe University)

  • Shunsuke Managi

    (Urban Institute & School of Engineering, Kyushu University)

Abstract

We estimate willingness-to-pay (WTP) for battery-switching electric vehicles (SEVs) by using a stated choice experiment. Our estimation results show that individuals have high WTP for SEVs, provided sufficient battery-switching stations exist. When battery-switching infrastructure represents 50% of the current number of gasoline stations, individuals are indifferent between conventional gasoline vehicles and SEVs, which have a 521 thousand yen lower price than gasoline vehicles. Moreover, the estimation results suggest that vehicle drivers may recognize SEVs as vehicles for shorter drives such as daily shopping trips and thereby have lower marginal WTP with respect to cruising range.

Suggested Citation

  • Nobuyuki Ito & Kenji Takeuchi & Shunsuke Managi, 2016. "Do Battery-Switching Systems Accelerate the Adoption of Electric Vehicles? A Stated Preference Study," Discussion Papers 1645, Graduate School of Economics, Kobe University.
    • Handle: RePEc:koe:wpaper:1645
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    References listed on IDEAS

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    Cited by:

    1. Rosales-Tristancho, Abel & Brey, Raúl & Carazo, Ana F. & Brey, J. Javier, 2022. "Analysis of the barriers to the adoption of zero-emission vehicles in Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 19-43.
    2. Webb, Jeremy, 2019. "The future of transport: Literature review and overview," Economic Analysis and Policy, Elsevier, vol. 61(C), pages 1-6.
    3. Cui, Dingsong & Wang, Zhenpo & Liu, Peng & Wang, Shuo & Dorrell, David G. & Li, Xiaohui & Zhan, Weipeng, 2023. "Operation optimization approaches of electric vehicle battery swapping and charging station: A literature review," Energy, Elsevier, vol. 263(PE).
    4. Oryani, Bahareh & Koo, Yoonmo & Shafiee, Afsaneh & Rezania, Shahabaldin & Jung, Jiyeon & Choi, Hyunhong & Khan, Muhammad Kamran, 2022. "Heterogeneous preferences for EVs: Evidence from Iran," Renewable Energy, Elsevier, vol. 181(C), pages 675-691.
    5. Hackbarth, André & Madlener, Reinhard, 2018. "Combined Vehicle Type and Fuel Type Choices of Private Households: An Empirical Analysis for Germany," FCN Working Papers 17/2018, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised May 2019.
    6. Jia, Wenjian & Chen, T. Donna, 2023. "Investigating heterogeneous preferences for plug-in electric vehicles: Policy implications from different choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    7. Nayak, Dhyaan Sandeep & Misra, Shamik, 2024. "An operational scheduling framework for Electric Vehicle Battery Swapping Station under demand uncertainty," Energy, Elsevier, vol. 290(C).

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    More about this item

    Keywords

    electric vehicle; battery-switching stations; stated preference method; choice experiment; willingness-to-pay;
    All these keywords.

    JEL classification:

    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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