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Evolutionary dynamics of promoting electric vehicle-charging infrastructure based on public–private partnership cooperation

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  • Huang, Xingjun
  • Lin, Yun
  • Lim, Ming K.
  • Zhou, Fuli
  • Ding, Rui
  • Zhang, Zusheng

Abstract

Low profit margins have become a significant barrier to investment in and the operation of electric vehicle-charging infrastructure, leading to an urgent need for new business models. Notwithstanding, nonmandatory policies and unclear responsibilities create a social dilemma in which it is difficult to promote charging facilities in urban residential areas. This study examines the feasibility of overcoming this dilemma by examining possible incentive mechanisms involving government, charging infrastructure operators, real estate agencies, and electric vehicle users. Leveraging evolutionary game theory, this study designs a theoretical model based on strategic interactions among different agents in promoting charging facilities in urban residential areas. Our results indicate that (1) the optimal scenario in one in which all participants work closely together to popularize charging facilities, and this scenario has theoretical possibilities in the real world; (2) government subsidies are necessary but not sufficient for promoting charging facilities in urban residential areas; (3) electric vehicle user participation in promotion is critical; and (4) the operation model in this study is more economically efficient than prevalent industrial operation models, and the role of real estate agencies cannot be ignored.

Suggested Citation

  • Huang, Xingjun & Lin, Yun & Lim, Ming K. & Zhou, Fuli & Ding, Rui & Zhang, Zusheng, 2022. "Evolutionary dynamics of promoting electric vehicle-charging infrastructure based on public–private partnership cooperation," Energy, Elsevier, vol. 239(PD).
    • Handle: RePEc:eee:energy:v:239:y:2022:i:pd:s0360544221025299
    DOI: 10.1016/j.energy.2021.122281
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    Cited by:

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    2. Huang, Xingjun & Lin, Yun & Lim, Ming K. & Zhou, Fuli & Liu, Feng, 2022. "Electric vehicle charging station diffusion: An agent-based evolutionary game model in complex networks," Energy, Elsevier, vol. 257(C).
    3. Faustino, Fausta J. & Lopes, José Calixto & Melo, Joel D. & Sousa, Thales & Padilha-Feltrin, Antonio & Brito, José A.S. & Garcia, Claudio O., 2023. "Identifying charging zones to allocate public charging stations for electric vehicles," Energy, Elsevier, vol. 283(C).
    4. Tao Li & Lei Ma & Zheng Liu & Chaonan Yi & Kaitong Liang, 2023. "Dual Carbon Goal-Based Quadrilateral Evolutionary Game: Study on the New Energy Vehicle Industry in China," IJERPH, MDPI, vol. 20(4), pages 1-16, February.
    5. Xingjun, Huang & Mao, Zhouhui & Lin, Yun & Shi, Qiuju & Liu, Feng & Zhou, Fuli, 2024. "Sharing or privacy for private electric vehicle charging piles? Evidence from Chongqing," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    6. Liu, Jicheng & Sun, Jiakang & Yuan, Hanying & Su, Yihan & Feng, Shuxian & Lu, Chaoran, 2022. "Behavior analysis of photovoltaic-storage-use value chain game evolution in blockchain environment," Energy, Elsevier, vol. 260(C).
    7. Liu, Changyu & Song, Yadong & Wang, Wei & Shi, Xunpeng, 2023. "The governance of manufacturers’ greenwashing behaviors: A tripartite evolutionary game analysis of electric vehicles," Applied Energy, Elsevier, vol. 333(C).
    8. Chen, Rongkai & Fan, Ruguo & Wang, Dongxue & Yao, Qianyi, 2023. "Effects of multiple incentives on electric vehicle charging infrastructure deployment in China: An evolutionary analysis in complex network," Energy, Elsevier, vol. 264(C).

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