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From data to sustainability: Using explainable AI to promote electric vehicle development and understand consumer preferences

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  • Xianglei Zhu
  • Jing Yang
  • Fan Zhang

Abstract

Motivation The global need to accelerate the development and consumption of electric vehicles (EVs) as a sustainable alternative to traditional transport. Purpose To identify potential consumers willing to switch to EVs and understand the underlying drivers of their behavior by utilizing Explainable Artificial Intelligence (EAI). Approach and methods The study analysed data from 1,964 users. Technical characteristics (Class A) were evaluated using Probit regression and one‐way ANOVA, while sociodemographic characteristics (Class B) were assessed via logistic regression. A user mining model was developed to predict behaviour, with Shapley Additive exPlanations (SHAP) used to determine the relative contribution of each predictor. Additionally, simulated enhancements in product indicators were modeled to identify “persuadable” potential buyers. Findings Purchasing decisions are significantly influenced by a combination of sociodemographic and technical factors. SHAP analysis successfully quantified the impact of these predictors, and potential user modeling confirmed that improvements in specific technical features could effectively convert reluctant consumers into EV adopters. Policy implications To drive EV adoption, developers and policy‐makers should prioritize targeted technical enhancements. Marketing and product development strategies should focus on those specific technical indicators that the model shows have the highest potential to shift consumer behaviour towards adoption.

Suggested Citation

  • Xianglei Zhu & Jing Yang & Fan Zhang, 2026. "From data to sustainability: Using explainable AI to promote electric vehicle development and understand consumer preferences," Development Policy Review, Overseas Development Institute, vol. 44(2), March.
    • Handle: RePEc:bla:devpol:v:44:y:2026:i:2:n:e70059
    DOI: 10.1111/dpr.70059
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    References listed on IDEAS

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    1. Huo, Jinghai & Kim, Eui-Jin & Bansal, Prateek, 2024. "Understanding consumers’ non-compensatory and heterogeneous preferences for electric vehicles," Energy Policy, Elsevier, vol. 192(C).
    2. Huang, Youlin & Qian, Lixian, 2021. "Consumer adoption of electric vehicles in alternative business models," Energy Policy, Elsevier, vol. 155(C).
    3. Chaoxi Liang & Qingtao Yang & Hongyuan Sun & Xiaoming Ma, 2024. "Unveiling consumer satisfaction and its driving factors of EVs in China using an explainable artificial intelligence approach," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    4. Haidi Han & Shanxia Sun, 2024. "Identifying Heterogeneous Willingness to Pay for New Energy Vehicles Attributes: A Discrete Choice Experiment in China," Sustainability, MDPI, vol. 16(7), pages 1-24, April.
    5. Farshid Javadnejad & Mohammad Jahanbakh & Cesar Ariel Pinto & Azita Saeidi, 2024. "Analyzing incentives and barriers to electric vehicle adoption in the United States," Environment Systems and Decisions, Springer, vol. 44(3), pages 575-606, September.
    6. Jia, Wenjian & Ma, Zhuanglin & Zhao, Yangyang & Luo, Mingjie, 2025. "Understanding the role of electric vehicle perception in shaping EV adoption intention," Transport Policy, Elsevier, vol. 164(C), pages 255-264.
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