The establishment of recycling network is critical to improve municipal solid waste (MSW) management. However, how to determine the best locations for the recycling stations and recycling centers remains to be solved. Under such a circumstance, this study aims to forecast the MSW generation and develop a cost-based location optimization model using p-median method so that the optimal scale and location of recycling centers can be identified. Shanghai, with an ambitious plan for promoting MSW recycling at the city level, was selected as a case study city. Results show that Shanghai's MSW generation rate will be about 3% from 2017 to 2020. Regional distribution analysis shows that the downtown areas have higher intensity for MSW generation due to high population density and consumption level. Fourteen regional recycling centers were identified to be the optimal places for establishing recycling centers. The achievement of this scenario can lead to the lowest total cost of 144 million Chinese Yuan. Moreover, the optimal results may change if unit transportation cost and unit scale cost are changed. For instance, the optimal numbers of recycling centers will increase with the increase of unit transportation cost or decrease of unit scale cost. Finally, model limitations and policy recommendations are raised by considering the local realities.
Keywords: Cost optimization; P-median model; Recyclable waste; Regional recycling centers (RRCs); Transfer station (TS); Waste governance.
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