Agent-based modelling for market acceptance of electric vehicles: evidence from China

Xingjun Huang, Yun Lin, Fuli Zhou, Ming Lim, Simin Chen

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    65 Citations (Scopus)
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    Inadequate consumer adoption has become a major obstacle to the diffusion of electric vehicles. Understanding and interfering with decision-making of these consumers may be the key to the acceptance of electric vehicles. In this study, an improved agent-based modelling is proposed to simulate the market acceptance of electric vehicles under multi-policy scenarios. The logic of consumer decision-making is portrayed by integrating consumer preferences, charging facilities, and the impact of government subsidies. The results show that the current consumers prefer plug-in hybrid electric vehicles and their attitude towards electric vehicles is more negative. A hybrid policy consisting of government subsidies and charging facility construction is the most effective strategy, where subsidies help stabilize consumption and charging facility construction facilitates the rapid electrification of vehicles in the current market. Moreover, increasing demand for sustainable consumption requires continuous upgrading of EV production technology. Based on these results, policy implications and suggestions for future electric vehicle industry are discussed.
    Original languageEnglish
    Pages (from-to)206-217
    Number of pages12
    JournalSustainable Production and Consumption
    Early online date6 Apr 2021
    Publication statusPublished - Oct 2021

    Bibliographical note

    NOTICE: this is the author’s version of a work that was accepted for publication in Sustainable Production and Consumption. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Sustainable Production and Consumption, 28, (2021)
    DOI: 10.1016/j.spc.2021.04.007

    © 2021, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International


    Chinese National Funding of Social Science (Grant No. 18BJY066 ), Chongqing Science and Technology Commission (Grant No. cstc2018jszx-cyzd0711 ) and the Fundamental Research Funds for the Central Universities (Grant No. 2019CDCGGK318 )


    • electric vehicles
    • adoption decision
    • public charging facilities
    • policy intervention
    • agent-based modelling


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