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Willing to Pay? Spatial Heterogeneity of e-Vehicle Charging Preferences in Germany

Author

Listed:
  • Wolff, Stefanie

    (E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN))

  • Madlener, Reinhard

    (E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN))

Abstract

In this paper, we spatially map the willingness to pay for e-vehicle charging options according to the availability of public charging spots. We combine a Discrete Choice Experiment on charging preferences with a data set of public charging spots. Our results show spatial heterogeneity, i.e. respondents’ choices depend on the quantity of public charging spots available to them. Non-availability of public charging spots in the vicinity has a larger effect on the choice probability than 1, 2, or 3 charging spots have. This could be evidence for charging infrastructure awareness. For the charging locations, we find marked spatial heterogeneity in the willingness to pay subject to the number of available public charging spots. The interaction of charging location with the number of public charging spots reveals a strong preference for charging at home rather than at work or charging on the road. However, with every additional public charging spot, respondents are more likely to charge away from home. This holds until the number of charging spots has reached a tipping point at which respondents become indifferent between home and work charging. When the tipping point is exceeded, respondents rather charge at work than at home. Thus, with increasing numbers of charging spots, public chargers near home are less relevant than those near work. Eventually, public chargers away from home become more attractive. Also, with increasing numbers of charging spots our results reveal a fivefold greater willingness to pay for reducing waiting time (for a charging spot to become available) than for accelerating charging speed. Thus, charging point operators could surcharge by implementing a booking scheme than by implementing fast-charging. From the findings, we derive further implications for charging infrastructure policy, business models, and infrastructure planning, e.g. regarding the expected break-even points for rolling out charging infrastructure and the provision of green energy.

Suggested Citation

  • Wolff, Stefanie & Madlener, Reinhard, 2020. "Willing to Pay? Spatial Heterogeneity of e-Vehicle Charging Preferences in Germany," FCN Working Papers 9/2020, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    • Handle: RePEc:ris:fcnwpa:2020_009
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    References listed on IDEAS

    as
    1. Crump, Robert & Madlener, Reinhard, 2019. "Modeling Grid-Friendly Clean Energy Communities and Induced Intra-Community Cash Flows," FCN Working Papers 26/2019, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    2. Liu, Xueying & Madlener, Reinhard, 2021. "The sky is the limit: Assessing aircraft market diffusion with agent-based modeling," Journal of Air Transport Management, Elsevier, vol. 96(C).
    3. Höfer, Tim & von Nitzsch, Rüdiger & Madlener, Reinhard, 2019. "Using Value-Focused Thinking and Multi-Criteria Group Decision-Making to Evaluate Energy Transition Alternatives," FCN Working Papers 4/2019, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    4. Barbara Glensk & Reinhard Madlener, 2019. "Energiewende @ Risk: On the Continuation of Renewable Power Generation at the End of Public Policy Support," Energies, MDPI, vol. 12(19), pages 1-25, September.
    5. Klie, Leo & Madlener, Reinhard, 2022. "Optimal configuration and diversification of wind turbines: A hybrid approach to improve the penetration of wind power," Energy Economics, Elsevier, vol. 105(C).
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    7. Höfer, Tim & Madlener, Reinhard, 2020. "A participatory stakeholder process for evaluating sustainable energy transition scenarios," Energy Policy, Elsevier, vol. 139(C).
    8. Atasoy, Ayse Tugba & Madlener, Reinhard, 2020. "Default vs. Active Choices: An Experiment on Electricity Tariff Switching," FCN Working Papers 7/2020, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    9. Illmann, Ulrike & Kluge, Jan, 2019. "Public Charging Infrastructure and the Market Diffusion of Electric Vehicles," IHS Working Paper Series 9, Institute for Advanced Studies.
    10. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    11. Gary Chamberlain, 1980. "Analysis of Covariance with Qualitative Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 225-238.
    12. Liu, Xueying & Madlener, Reinhard, 2019. "Get Ready for Take-Off: A Two-Stage Model of Aircraft Market Diffusion," FCN Working Papers 15/2019, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    13. Wolbertus, Rick & Kroesen, Maarten & van den Hoed, Robert & Chorus, Caspar, 2018. "Fully charged: An empirical study into the factors that influence connection times at EV-charging stations," Energy Policy, Elsevier, vol. 123(C), pages 1-7.
    14. Arne Risa Hole, 2007. "A comparison of approaches to estimating confidence intervals for willingness to pay measures," Health Economics, John Wiley & Sons, Ltd., vol. 16(8), pages 827-840, August.
    15. Shyekhha, Siamak & Borggrefe, Frieder & Madlener, Reinhard, 2019. "A Counterfactual Analysis of Regional Renewable Energy Auctions Taking the Spatial Dimension into Account," FCN Working Papers 22/2019, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    16. Nienhueser, Ian Andrew & Qiu, Yueming, 2016. "Economic and environmental impacts of providing renewable energy for electric vehicle charging – A choice experiment study," Applied Energy, Elsevier, vol. 180(C), pages 256-268.
    17. Wolff, Stefanie & Madlener, Reinhard, 2019. "Charged up? Preferences for Electric Vehicle Charging and Implications for Charging Infrastructure Planning," FCN Working Papers 3/2019, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    18. Daniel McFadden, 2001. "Economic Choices," American Economic Review, American Economic Association, vol. 91(3), pages 351-378, June.
    19. Karami, Mahdi & Madlener, Reinhard, 2019. "Smart Predictive Maintenance Strategy Based on Cyber-Physical Systems for Centrifugal Pumps: A Bearing Vibration Analysis," FCN Working Papers 14/2019, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    20. Hellwig, Robert & Atasoy, Ayse Tugba & Madlener, Reinhard, 2020. "The Impact of Social Preferences and Information on the Willingness to Pay for Fairtrade Products," FCN Working Papers 6/2020, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    21. Björnsson, Lars-Henrik & Karlsson, Sten, 2015. "Plug-in hybrid electric vehicles: How individual movement patterns affect battery requirements, the potential to replace conventional fuels, and economic viability," Applied Energy, Elsevier, vol. 143(C), pages 336-347.
    22. Globisch, Joachim & Plötz, Patrick & Dütschke, Elisabeth & Wietschel, Martin, 2019. "Consumer preferences for public charging infrastructure for electric vehicles," Transport Policy, Elsevier, vol. 81(C), pages 54-63.
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    Cited by:

    1. Madlener, Reinhard & Sheykhha, Siamak & Briglauer, Wolfgang, 2022. "The electricity- and CO2-saving potentials offered by regulation of European video-streaming services," Energy Policy, Elsevier, vol. 161(C).
    2. Schmitz, Hendrik & Madlener, Reinhard, 2021. "Preferences for Energy Retrofit Investments Among Low-income Renters," FCN Working Papers 8/2021, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    3. Fabianek, Paul & Glensk, Barbara & Madlener, Reinhard, 2021. "A Sequential Real Options Analysis for Renewable Power-to-Hydrogen Plants in Germany and California," FCN Working Papers 1/2021, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    4. Liu, Xueying & Madlener, Reinhard, 2021. "Economic Benefits of Direct Current Technology for Private Households and Peer-to-Peer Trading in Germany," FCN Working Papers 7/2021, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    5. Walter, Antonia & Held, Maximilian & Pareschi, Giacomo & Pengg, Hermann & Madlener, Reinhard, 2020. "Decarbonizing the European Automobile Fleet: Impacts of 1.5 °C-compliant Climate Policies in Germany and Norway," FCN Working Papers 18/2020, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).

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    More about this item

    Keywords

    Electric mobility charging behavior; Charging spot awareness; Discrete Choice Experiment; Econometric modeling; Willingness to pay; Germany;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • M38 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Government Policy and Regulation
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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