School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan, Hubei, People's Republic of China.
J Air Waste Manag Assoc. 2022 Dec;72(12):1398-1409. doi: 10.1080/10962247.2022.2108932. Epub 2022 Oct 14.
Municipal domestic waste (MDW) management is essential to maintain ecological security. Waste classification is seen as a solution to the urban waste dilemma. However, very few residents in China are currently involved in waste classification. Based on the public goods theory and the hypothesis of rational behavior, with the aid of GIS, this paper develops a multi-agent model to simulate the features and evolution of residents' waste classification behavior in the context of community. By comparing the percentage of those who participate in waste classification in different scenarios, various factors that may influence residents' waste classification behavior are analyzed. The simulation results show that the improvement of convenience facilities and the promotion of awareness-raising activities help enhancing residents' waste classification behavior. An increase in rewards and penalties by the government will promote residents' waste classification behavior, though this promotion is not significant. Adherent enforcers can provide a continuous incentive for residential waste classification behavior. This study provides evidence for the government and communities to develop waste classification policies and motivate residents to participate in waste classification. Municipal waste seriously restricts the survival and development of cities, and waste disposal has become a problem that plagues government managers in various countries. Waste classification is considered to be an effective way to solve the municipal waste dilemma, but currently China faces the dilemma of low residents' participation in waste classification. Through multi-agent modeling, the interaction and decision-making of urban residents in the process of waste classification are simulated, and introduce GIS to truly restore the daily classification scenes of residents. Explore the dynamic evolution of urban residents' classification behavior and the change of residents' waste classification rate under different situations to find more effective ways to improve the participation rate of residents in waste classification and give targeted and practical countermeasure suggestions. It provides decision-making reference for the formulation of governmental waste classification policies and the design of community behavior programs, and to contribute to the sustainable development of society.
城市生活垃圾（MDW）管理对于维护生态安全至关重要。垃圾分类被视为解决城市垃圾困境的一种方法。然而，目前中国很少有居民参与垃圾分类。基于公共物品理论和理性行为假设，借助 GIS，本文开发了一个多主体模型，以模拟社区背景下居民垃圾分类行为的特征和演变。通过比较不同情景下参与垃圾分类的居民比例，分析了可能影响居民垃圾分类行为的各种因素。模拟结果表明，便利设施的改善和提高意识活动的推广有助于增强居民的垃圾分类行为。政府增加奖励和惩罚会促进居民的垃圾分类行为，但这种促进作用并不显著。坚持执行者可以为居民垃圾分类行为提供持续的激励。本研究为政府和社区制定垃圾分类政策提供了依据，并激励居民参与垃圾分类。城市垃圾严重限制了城市的生存和发展，垃圾处理已成为困扰各国政府管理者的问题。垃圾分类被认为是解决城市垃圾困境的有效方法，但目前中国面临着居民参与垃圾分类率低的困境。通过多主体建模，模拟了城市居民在垃圾分类过程中的相互作用和决策，并引入 GIS 来真实还原居民日常垃圾分类场景。探索城市居民分类行为的动态演变和不同情境下居民垃圾分类率的变化，以寻找更有效的方法来提高居民参与垃圾分类的积极性，并给出有针对性和实际的对策建议。为政府垃圾分类政策的制定和社区行为方案的设计提供决策参考，为社会的可持续发展做出贡献。
