Research on Evolutionary Game of Behaviors in Community Waste Classification Under Reward and Punishment Mechanism
HAN Pu1,2, YE Dongyu1, GU Liang1
1. School of Management, Nanjing University of Posts & Telecommunications, Nanjing 210003, China; 2. Jiangsu Provincial Key Laboratory of Data Engineering and Knowledge Service, Nanjing University, Nanjing 210023, China
Abstract：In order to explore the behavior tendency of multi-stakeholders on community waste classification, firstly, an evolutionary game model of residents, community neighborhood committees and local government under the reward and punishment mechanism is constructed. Secondly, the condition of tripartite equilibrium evolution strategy is discussed by solving the model and analyzing the stability. Finally, MATLAB is used for simulation verification and result analysis. The final results show that community neighborhood committee plays an important role in community waste classification; residents are important participants in the classification of urban domestic waste. Moreover, residents’ waste classification behavior will be directly affected by the supervision and management of neighborhood committees; Reasonable incentives and punishment measures of local governments can effectively mobilize their enthusiasm for participation; Compared with incentives, residents and residents' committees are more sensitive to punishment measures.
韩普, 叶东宇, 顾亮. 奖惩机制下社区垃圾分类行为演化博弈研究[J]. 复杂系统与复杂性科学, 2024, 21(3): 120-127.
HAN Pu, YE Dongyu, GU Liang. Research on Evolutionary Game of Behaviors in Community Waste Classification Under Reward and Punishment Mechanism[J]. Complex Systems and Complexity Science, 2024, 21(3): 120-127.
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