A multi-objective modeling and optimization approach to municipal solid waste collection for classified treatment in China towards sustainable development
文献类型：期刊论文
| 作者 | Hu, Shuhan1,2; An, Li1,2; Shen, Lei1,2 |
| 刊名 | SUSTAINABLE CITIES AND SOCIETY
 |
| 出版日期 | 2023-11-01 |
| 卷号 | 98页码:10 |
| ISSN号 | 2210-6707 |
| 关键词 | Municipal solid waste Solid waste collection Waste classification Sustainable development Multi -objective optimization Hybrid metaheuristics |
| DOI | 10.1016/j.scs.2023.104846 |
| 通讯作者 | Hu, Shuhan(hush@igsnrr.ac.cn) ; An, Li(anli21@mails.ucas.ac.cn) |
| 英文摘要 | With the popularity of waste classification and increasing requirements for coordinated waste management towards sustainability, it is essential to study how to generate efficient waste collection solutions for classified treatment towards social-economic and environmental goals. We proposed a new methodological framework to identify not only the optimal routes for different collection modes in classification but also the most desirable mode under different decision preferences, by a novel multi-objective optimization model applicable to different collection modes with addressing economic, environmental and social dimensions of sustainability. We incorporated the lifecycle carbon emissions of fuel and the economic and environmental impacts of vehicle idling due to queening to make the model more realistic and comprehensive. To solve the model, we proposed a modified metaheuristic algorithm based on particle swarm optimization and genetic algorithm. Through the case study in a pilot waste classification city of China, we demonstrated the effectiveness of the designed algorithm and the applicability of the proposed methodological framework. The results indicate that there are strong synergies between environmental and economic objectives, but trade-offs between social and environmental/economic objectives. "Classification then combined-collection" should be given priority under economic and environmental preferences, while "Classification then separated-collection" should be adopted under social preference. |
| WOS关键词 | PARTICLE SWARM OPTIMIZATION ; ROUTING PROBLEM |
| 资助项目 | National Key Research and Development Program of China[2018YFC1903000] ; National Natural Science Foundation of China for Young Scholars[41901249] |
| WOS研究方向 | Construction & Building Technology ; Science & Technology - Other Topics ; Energy & Fuels |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:001060752400001 |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China for Young Scholars |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/196920]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Hu, Shuhan; An, Li |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hu, Shuhan,An, Li,Shen, Lei. A multi-objective modeling and optimization approach to municipal solid waste collection for classified treatment in China towards sustainable development[J]. SUSTAINABLE CITIES AND SOCIETY,2023,98:10. |
| APA | Hu, Shuhan,An, Li,&Shen, Lei.(2023).A multi-objective modeling and optimization approach to municipal solid waste collection for classified treatment in China towards sustainable development.SUSTAINABLE CITIES AND SOCIETY,98,10. |
| MLA | Hu, Shuhan,et al."A multi-objective modeling and optimization approach to municipal solid waste collection for classified treatment in China towards sustainable development".SUSTAINABLE CITIES AND SOCIETY 98(2023):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
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