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Research on the Diffusion Model of Electric Vehicle Quantity Considering Individual Choice

Author

Listed:
  • Chenran Jia

    (College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443000, China)

  • Can Ding

    (College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443000, China)

  • Wenhui Chen

    (College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443000, China)

Abstract

Regarding the issue of individual purchasing behavior in the rapid growth of electric vehicles, this article studies the diffusion model of electric vehicles considering individual choices and social effects from the perspective of the scale and quantity changes of electric vehicles. First, the neural network was used to predict the charging data of electric vehicles, and the economic effects of purchasing electric vehicles were calculated by combining the purchase cost and government subsidies. Then, the utility function for owners to purchase electric or traditional fuel vehicles was created by considering economic effects, cognitive attitudes, and social effects as factors that individuals need to consider when purchasing electric or traditional fuel vehicles. Finally, the discrete choice model was used to calculate the probability of users choosing to purchase electric or traditional fuel vehicles, and the number of electric vehicles was statistically calculated. Analysis of simulation examples shows that the growth rate of fuel vehicles decreases year by year during the simulation period, and the trend of electric vehicle growth follows an S-curve.

Suggested Citation

  • Chenran Jia & Can Ding & Wenhui Chen, 2023. "Research on the Diffusion Model of Electric Vehicle Quantity Considering Individual Choice," Energies, MDPI, vol. 16(14), pages 1-15, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:14:p:5423-:d:1195742
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    References listed on IDEAS

    as
    1. Li, Jingjing & Nian, Victor & Jiao, Jianling, 2022. "Diffusion and benefits evaluation of electric vehicles under policy interventions based on a multiagent system dynamics model," Applied Energy, Elsevier, vol. 309(C).
    2. Liu, Junbei & Zhuge, Chengxiang & Tang, Justin Hayse Chiwing G. & Meng, Meng & Zhang, Jie, 2022. "A spatial agent-based joint model of electric vehicle and vehicle-to-grid adoption: A case of Beijing," Applied Energy, Elsevier, vol. 310(C).
    3. Li, Lixu & Wang, Zhiqiang & Xie, Xiaoqing, 2022. "From government to market? A discrete choice analysis of policy instruments for electric vehicle adoption," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 143-159.
    4. Guo, Shuocheng & Kontou, Eleftheria, 2021. "Disparities and equity issues in electric vehicles rebate allocation," Energy Policy, Elsevier, vol. 154(C).
    5. Chakraborty, Debapriya & Bunch, David S. & Brownstone, David & Xu, Bingzheng & Tal, Gil, 2022. "Plug-in electric vehicle diffusion in California: Role of exposure to new technology at home and work," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 133-151.
    6. Kumar, Rajeev Ranjan & Guha, Pritha & Chakraborty, Abhishek, 2022. "Comparative assessment and selection of electric vehicle diffusion models: A global outlook," Energy, Elsevier, vol. 238(PC).
    Full references (including those not matched with items on IDEAS)

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