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Evolutionary Game Analysis of Resilient Community Construction Driven by Government Regulation and Market

Author

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  • Panke Zhang

    (Business School, Henan University of Science and Technology, Luoyang 471023, China)

  • Mengtian Wang

    (Business School, Henan University of Science and Technology, Luoyang 471023, China)

  • Guoqu Deng

    (Business School, Henan University of Science and Technology, Luoyang 471023, China)

Abstract

As the basic unit of residents’ activities and social management, communities are the disaster bearers of various public security emergencies. To improve the ability and level of community governance, as well as to strengthen the construction of resilient communities, a tripartite evolutionary game model of local government, developers, and home buyers is built, and numerical simulation is carried out using Matlab to analyze the impact mechanism of main parameters on the evolutionary stability strategy. The results show that: (1) The three parties’ different initial intentions will lead to different evolutionary stability strategies of the system, and the system’s final evolution result will reach the ideal state only when the initial willingness of developers and buyers is high. (2) The greater the government’s subsidy coefficient and the greater the regulatory intensity, the more likely it is that developers will choose to build resilient communities. (3) Public awareness of disaster prevention and mitigation is an important determinant of the purchase of resilient community housing strategies. To achieve rapid development of resilient communities, the intensity of regulation must be continuously improved, the public’s awareness of disaster prevention and mitigation must be strengthened, and the government’s regulatory costs must be reduced.

Suggested Citation

  • Panke Zhang & Mengtian Wang & Guoqu Deng, 2023. "Evolutionary Game Analysis of Resilient Community Construction Driven by Government Regulation and Market," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3251-:d:1064361
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    References listed on IDEAS

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    4. Jiguang Wang & Yushang Hu & Weihua Qu & Liuxin Ma, 2022. "Research on Emergency Supply Chain Collaboration Based on Tripartite Evolutionary Game," Sustainability, MDPI, vol. 14(19), pages 1-25, September.
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    Cited by:

    1. Junfeng Wang & Shaoyao Zhang & Wei Deng & Qianli Zhou, 2024. "Metropolitan Expansion and Migrant Population: Correlation Patterns and Influencing Factors in Chengdu, China," Land, MDPI, vol. 13(1), pages 1-19, January.
    2. Li Guo & Ren-Jye Dzeng & Shuya Hao & Chaojie Zhang & Shuang Zhang & Liyaning Tang, 2024. "Exploring Stakeholders in Elderly Community Retrofit Projects: A Tripartite Evolutionary Game Analysis," Sustainability, MDPI, vol. 16(18), pages 1-22, September.

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