Research on Strategy Evolution of Contractor and Resident in Construction Stage of Old Community Renovation Project

Yingxia Xue, Fang Liu (), Guangbin Wang and Jungang Shao
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Yingxia Xue: Business College, Southwest University, Chongqing 402460, China
Fang Liu: Management Science and Engineering, School of Economics and Management, Tongji University, 4800 Caoan Rd., Shanghai 201804, China
Guangbin Wang: Department of Construction Management and Real Estate, School of Economics and Management, Tongji University, Shanghai 200092, China
Jungang Shao: School of Economics & Management, Shanghai Maritime University, Shanghai 201306, China

Sustainability, 2023, vol. 15, issue 2, 1-20

Abstract: In order to improve the living environment and meet the daily needs of residents, the Chinese government is vigorously promoting the policy of old community renovation, which is closely related to the life quality and happiness of the residents. However, conflicts often occur between residents and contractors in the construction stage of old community renovation projects as a result of failing to satisfy residents’ demands. This paper uses evolutionary game theory to explore this issue. An evolutionary game model between contractor and resident is established, and then nine different strategy evolution scenarios are derived based on it. Numerical simulation is conducted to analyze the influencing factors of conflict between resident and contractor in the construction stage. It is found that construction cost, reputation, and loss caused by resident’s protest are important factors for the contractor to consider resident’s demand. Protesting cost, probability of winning the protest, and increase in benefit of winning protest exert great impact on the evolution of resident’s strategy decision on whether to protest. The paper can help to predict and affect the strategy evolution of the two parties, which will promote smooth progress of old community renovation.

Keywords: old community renovation; evolutionary game; contractor; resident; numerical simulation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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