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Network Design for Municipal Solid Waste Collection: A Case Study of the Nanjing Jiangbei New Area

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  • Jing Liang

    (School of Biology and Environment, Nanjing Polytechnic Institute, Nanjing 210048, China)

  • Ming Liu

    (School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China)

Abstract

Garbage collection is an important part of municipal engineering. An effective service network design can help to reduce the municipal operation cost and improve its service level. In this paper, we propose an optimization model for the network design of municipal solid waste (MSW) collection in the Nanjing Jiangbei new area. The problem was formulated as a mixed integer nonlinear programming (MINLP) model with an emphasis on minimizing the annual operation cost. The model simultaneously decides on the optimal number of refuse transfer stations (RTSs), determines the relative size and location for each RTS, allocates each community to a specific RTS, and finally identifies the annual operation cost and service level for the optimal scenario as well as other scenarios. A custom solution procedure which hybrids an enumeration rule and a genetic algorithm was designed to solve the proposed model. A sensitivity analysis was also conducted to illustrate the impact of changes in parameters on the optimality of the proposed model. Test results revealed that our model could provide tangible policy recommendations for managing the MSW collection.

Suggested Citation

  • Jing Liang & Ming Liu, 2018. "Network Design for Municipal Solid Waste Collection: A Case Study of the Nanjing Jiangbei New Area," IJERPH, MDPI, vol. 15(12), pages 1-15, December.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:12:p:2812-:d:189504
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    References listed on IDEAS

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    2. Xueliang Yuan & Xiaohan Fan & Jiaxin Liang & Mengyue Liu & Yuqiang Teng & Qiao Ma & Qingsong Wang & Ruimin Mu & Jian Zuo, 2019. "Public Perception towards Waste-to-Energy as a Waste Management Strategy: A Case from Shandong, China," IJERPH, MDPI, vol. 16(16), pages 1-15, August.

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