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Integrated dynamic municipal solid waste transfer station location decision study based on the dynamic MSW generation

Author

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  • Feng Dai

    (Hubei Polytechnic University)

  • Yi Chen

    (Hubei Polytechnic University)

Abstract

With the rapid development of population and urbanization, municipal solid waste (MSW) management has become an urgent problem in city sustainable management. Since the MSW transportation cost is the largest part in the MSW management in China, the optimization location study of MSW transfer station is necessary for the MSW management. Considering the dynamic characteristics of MSW generation, a MSW transfer station location model with dynamic capacity constraints is established to obtain the integrated strategic and tactical decisions for MSW transfer station location problem. Since it is a NP-Hard problem, the genetic algorithm is applied to solve the model. Taking 76 MSW collection points in the Huangshi as a case study, integrated dynamic MSW transfer station location decisions in three periods are studied. The integrated strategic and tactical decisions of 18 MSW transfer station are obtained. The feasibility and effectiveness of the proposed model are verified. In addition, the model not only expands the research field for the MSW transfer station location problem, but also provides reference for the government to design an economical and optimal MSW transportation system.

Suggested Citation

  • Feng Dai & Yi Chen, 2023. "Integrated dynamic municipal solid waste transfer station location decision study based on the dynamic MSW generation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6033-6047, July.
  • Handle: RePEc:spr:endesu:v:25:y:2023:i:7:d:10.1007_s10668-022-02292-9
    DOI: 10.1007/s10668-022-02292-9
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    References listed on IDEAS

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    1. Eiselt, H.A. & Marianov, Vladimir, 2014. "A bi-objective model for the location of landfills for municipal solid waste," European Journal of Operational Research, Elsevier, vol. 235(1), pages 187-194.
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