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Title
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Optimizing the Cleaning and Disinfection Scheme for Dockless Shared Bikes
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Sub-Title |
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Subject |
Optimizing the Cleaning and Disinfection Scheme for Dockless Shared Bikes
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Sub-Subject |
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Author |
Rong Zheng , Hongtai Yang , Lanzhen Jiang, Jinghai
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Publish Year |
2022 |
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Diss#. |
https://doi.org/10.1155/2022/5702188 |
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Text Language |
English |
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Accession |
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Library Section |
Research Article |
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Abstract |
Shared bikes can help cities achieve carbon neutrality goals. Cleaning and disinfection are vital procedures of the maintenance of
shared bikes, especially during the COVID-19 pandemic because shared bikes could be a transmission intermediary of viruses.
This study proposes an optimization model of the cleaning and disinfection scheme of the dockless shared bikes. The
disinfection is assumed to be performed at night, when the usage is lowest. By regarding the disinfection staff as traveling
salesmen, the model is formulated as an extension of the Multidepot Multiple Traveling Salesman Problem (MDMTSP). The
objective function is to minimize the total cost; which consists of the cost associated with the working time and per-capita cost
of the disinfection staff. A heuristic algorithm combining k-means clustering and genetic algorithm (K-GA) is adopted to find
the lower bound solution. Then, the K-GA-adjustment algorithm has been adopted to find the solutions that satisfy the
constraints.
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