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奖惩机制下社区垃圾分类行为演化博弈研究

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为探究奖惩机制下多方利益主体在社区垃圾分类中的行为倾向,构建了居民、居委会和地方政府的演化博弈模型,通过对模型求解和稳定性分析探讨三方均衡演化策略条件,并借助MATLAB进行仿真验证与结果分析.研究发现,居委会在社区垃圾分类中扮演着重要角色,居民是社区垃圾分类的重要参与者,居委会的监督管理会直接影响居民的垃圾分类行为;地方政府合理的奖惩手段能有效调动二者的参与积极性,且相比于奖励措施,居民和居委会对惩罚措施的敏感度更高.
Research on Evolutionary Game of Behaviors in Community Waste Classification Under Reward and Punishment Mechanism
In order to explore the behavior tendency of multi-stakeholders on community waste classification,firstly,an evolutionary game model of residents,community neighborhood com-mittees and local government under the reward and punishment mechanism is constructed.Sec-ondly,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 anal-ysis.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 punish-ment measures of local governments can effectively mobilize their enthusiasm for participation;Compared with incentives,residents and residents'committees are more sensitive to punishment measures.

waste classificationreward and punishment mechanismtripartite evolutionary game

韩普、叶东宇、顾亮

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南京邮电大学管理学院,南京 210003

南京大学江苏省数据工程与知识服务重点实验室,南京 210023

垃圾分类 奖惩机制 三方演化博弈

国家社会科学基金江苏省高校哲社重大项目江苏省研究生科研创新计划

22BTQ0962020SJZDA102KYCX22_0870

2024

复杂系统与复杂性科学
青岛大学

复杂系统与复杂性科学

CSTPCD北大核心
影响因子:0.798
ISSN:1672-3813
年,卷(期):2024.21(3)