Tripartite Evolutionary Game and Policy Simulation: Strategic Governance in the Redevelopment of the Urban Village in Guangzhou
Year: 2024
Type: article
Abstract: The scarcity of land drives urban village redevelopment projects, which involve interest redistribution among stakeholders with distinct demands. This paper utilizes evolutionary game theory and simulation methods, constructing a tripartite game model under the institutional arrangement of bottom-up with private developer funding. This study identifies the stable strategies and evolutionary trends of the tripartite interactions under four distinct scenarios and validates these strategies through simulations. The redevelopment of XC village validates the assumptions of the model and theoretical analysis, suggesting that when private developers adopt forced demolition strategies, although villagers ultimately choose to sign the contract of property exchange, it can easily lead to social conflicts. These research findings can enlighten the government to form a tripartite alliance to smooth urban village redevelopment.
Source: Land
DOI: 10.3390/land13111867
Authors: Dinghuan Yuan, Jiaxin Li, Qiuxiang Li, Yang Fu
Language: English
Topic: Urban Planning and Valuation
Subfield: Management, Monitoring, Policy and Law
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,955
Funders: National Natural Science Foundation of China, Ministry of Education of the People's Republic of China, Jinan University, Shenzhen University, Jilin Office of Philosophy and Social Science, Fundamental Research Funds for the Central Universities, Basic and Applied Basic Research Foundation of Guangdong Province
OpenAlex ID: W4404283837
