Evolutionary Game Analysis for Promoting the Realization of Construction Waste Recycling and Resource Utilization: Based on a Multi-Agent Collaboration Perspective

Excessive growth or improper disposal of construction waste can lead to negative consequences such as environmental destruction and waste of resources. The policy practice of construction waste reduction and resource utilization is facing challenging issues. Construction enterprises (also constructors of construction waste) and building material manufacturers (also recyclers of construction waste) play significant roles in the system of construction waste recycling and resource utilization. However, they are often absent or out of position in most cases. Therefore, this study constructs an evolutionary game model and conducts numerical simulation analysis, aiming to clarify the interactive relationship between their interests and government policy implementation, promote the formation of a cooperative system for construction waste management, and facilitate the achievement of ultimate governance objectives. The research results show that: (1) Current collaboration in construction waste management has fallen into a dilemma of relying solely on government efforts, resulting in inefficient or ineffective policy implementation. (2) The government can change the current situation and achieve better policy outcomes by taking measures such as increasing the income of recycled construction waste products, increasing fines for violations, and lowering industry entry barriers. (3) Different optimization measures vary in the speed at which they promote the evolutionary game system to evolve into a stable and ideal strategic combination. In comparison, increasing the market price of recycled products and increasing their sales volume are more effective optimization strategies. The process and conclusions of this study provide valuable reference and inspiration for the government to formulate construction waste management policies and optimize their policy implementation plans.

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