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Counteracting electric vehicle range concern with a scalable behavioural intervention

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  • Mario Herberz

    (University of Geneva)

  • Ulf J. J. Hahnel

    (University of Geneva)

  • Tobias Brosch

    (University of Geneva)

Abstract

All-electric vehicles remain far from reaching the market share required to meaningfully reduce transportation-related CO2 emissions. While financial and technological adoption barriers are increasingly being removed, psychological barriers remain insufficiently addressed. Here we show that car owners systematically underestimate the compatibility of available battery ranges with their annual mobility needs and that this underestimation is associated with increased demand for long battery ranges and reduced willingness to adopt electric vehicles. We tested a simple intervention to counteract this bias: providing tailored compatibility information reduced range concern and increased willingness to pay for electric vehicles with battery ranges between 60 and 240 miles, relative to a 50-mile-range baseline model. Compatibility information more strongly increased willingness to pay than did information about easy access to charging infrastructure, and it selectively increased willingness to pay for car owners who would derive greater financial benefits from adopting an electric vehicle. This scalable intervention may complement classical policy approaches to promote the electrification of mobility.

Suggested Citation

  • Mario Herberz & Ulf J. J. Hahnel & Tobias Brosch, 2022. "Counteracting electric vehicle range concern with a scalable behavioural intervention," Nature Energy, Nature, vol. 7(6), pages 503-510, June.
    • Handle: RePEc:nat:natene:v:7:y:2022:i:6:d:10.1038_s41560-022-01028-3
    DOI: 10.1038/s41560-022-01028-3
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    Cited by:

    1. Xiong, Siqin & Yuan, Yi & Yao, Jia & Bai, Bo & Ma, Xiaoming, 2023. "Exploring consumer preferences for electric vehicles based on the random coefficient logit model," Energy, Elsevier, vol. 263(PA).
    2. Li, Xiaohui & Wang, Zhenpo & Zhang, Lei & Sun, Fengchun & Cui, Dingsong & Hecht, Christopher & Figgener, Jan & Sauer, Dirk Uwe, 2023. "Electric vehicle behavior modeling and applications in vehicle-grid integration: An overview," Energy, Elsevier, vol. 268(C).
    3. Dominik Bär & Stefan Feuerriegel & Ting Li & Markus Weinmann, 2023. "Message framing to promote solar panels," Nature Communications, Nature, vol. 14(1), pages 1-9, December.

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