An Evolutionary Game Analysis of Shared Private Charging Pile Behavior in Low-Carbon Urban Traffic

被引:5
|
作者
Zhu, Lequn [1 ]
Zhou, Ran [1 ]
Li, Xiaojun [1 ]
Zhang, Linlin [2 ]
机构
[1] Tianjin Res Inst Water Transport Engn, Policy Res Ctr, MOT, Tianjin 300456, Peoples R China
[2] Liaoning Normal Univ, Sch Govt, Dalian 116000, Peoples R China
关键词
shared private charging pile; low-carbon urban transport; evolutionary game; policy making; STRATEGIES;
D O I
10.3390/su151310149
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Choosing new energy vehicles for travel, especially electric vehicles, is an important component of building a low-carbon urban transportation system. However, the charging need of electric vehicle users is still constrained by the unreasonable layout and insufficient supply of public charging piles in cities. Private charging pile sharing, as an alternative policy tool, can play a beneficial role in solving this problem. However, it needs decision-makers in urban transportation to take corresponding measures to promote. This paper constructs an evolutionary game model to study the decision behavior of participants in a private pile-sharing platform. Through numerical simulation analysis, it is found that under most parameter conditions, the government tends to establish a shared charging pile platform based on public interests. Private charging pile owners are influenced by the relationship between the cost of supply modification and revenue, and they tend to join the shared platform when they expect to recover the modification cost. The research conclusions of this paper will provide support for exploring how participants make decisions to maximize overall benefits in the development of low-carbon urban transportation.
引用
收藏
页数:17
相关论文
共 50 条
  • [21] A Tripartite Game Analysis of Low-carbon Tourism
    Ma Zuozhenmo
    Cai Kexin
    Pan Jinyu
    NEW TREND OF THE TOURISM INDUSTRY DEVELOPMENT IN CHINA AND SPAIN, 2017, : 84 - 95
  • [22] Study on the Behavior Strategy of the Subject of Low-Carbon Retrofit of Residential Buildings Based on Tripartite Evolutionary Game
    Zhang, Zihan
    Song, Junkang
    Wang, Wanjiang
    SUSTAINABILITY, 2023, 15 (09)
  • [23] Research on decision-making behavior of stakeholders of low-carbon housing from the perspective of evolutionary game
    Yao, Qingzhen
    Shao, Liangshan
    ENERGY REPORTS, 2022, 8 : 112 - 121
  • [24] Low-carbon promotion of new energy vehicles: A quadrilateral evolutionary game
    Wang, Jie
    He, Ya-qun
    Wang, Heng-guang
    Wu, Ru-fei
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2023, 188
  • [25] Government participation in low-carbon technology transfer: An evolutionary game study
    Zou, Chen
    Huang, Yongchun
    Hu, Shiliang
    Huang, Zhan
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2023, 188
  • [26] An evolutionary game model for low-carbon technology adoption by rival manufacturers
    Yang Y.
    Xie Y.
    International Journal of Industrial and Systems Engineering, 2023, 45 (01) : 40 - 67
  • [27] RETRACTED: Evolutionary Game Analysis of Knowledge Sharing in Low-Carbon Innovation Network (Retracted Article)
    Zheng, Cuicui
    COMPLEXITY, 2021, 2021
  • [28] Evolutionary Game and Simulation Analysis of Low-Carbon Technology Innovation With Multi-Agent Participation
    Xu-Mei Yuan
    Cui-Cui Zheng
    IEEE ACCESS, 2022, 10 : 11284 - 11295
  • [29] An evolutionary game analysis of enterprises' low carbon emission behavior and governmental supervision
    Xia, Shiliang
    PROCEEDINGS OF INTERNATIONAL SYMPOSIUM ON STATISTICS AND MANAGEMENT SCIENCE 2010, 2010, : 126 - 129
  • [30] Evolutionary game analysis of low-carbon effort decisions in the supply chain considering fairness concerns
    Wang, Dong-dong
    Wang, Kangzhou
    MANAGERIAL AND DECISION ECONOMICS, 2022, 43 (05) : 1224 - 1239