Academic Journal
A cooperative optimization method for the layout of shared bicycle parking areas and delivery quantity
| Title: | A cooperative optimization method for the layout of shared bicycle parking areas and delivery quantity |
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| Authors: | Hao Chen, Wenxian Wang, Ligang Cheng, Ping Li |
| Source: | Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024) |
| Publisher Information: | Nature Portfolio, 2024. |
| Publication Year: | 2024 |
| Collection: | LCC:Medicine LCC:Science |
| Subject Terms: | Layout of shared bicycle parking area, Delivery quantity of bicycles, Collaborative optimization model, Walking distance, Improved genetic algorithm, Medicine, Science |
| More Details: | Abstract With the popularity of shared bicycles in urban areas, more and more residents choose this fast and convenient mode of transportation for short-distance travel. By optimizing the layout of shared bicycle parking areas and delivery quantity, the investment cost of shared bicycle enterprises can be effectively reduced, and the convenience of residents' travel can be improved at the same time. In this paper, we develop a collaborative optimization model for the layout of the shared bicycle parking area and delivery quantity, aiming at minimizing the walking distance of residents and the investment cost of enterprises, while considering the constraints of the parking area's attractive range and the number of bicycles placed. Aiming at the characteristics of this mixed integer nonlinear problem, an improved genetic algorithm incorporating symmetric individual precision control mechanism is designed. Finally, taking the planned area between the Second Ring Road and the Third Ring Road in the northern part of Jin-niu District, Chengdu as the background, the proposed collaborative optimization model for the layout of shared bicycle parking areas and delivery quantity is applied to a real scene. The results show that after optimization, the number of parking areas is reduced by 2, and the total investment cost is reduced by about 12.2%. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 2045-2322 |
| Relation: | https://doaj.org/toc/2045-2322 |
| DOI: | 10.1038/s41598-024-54647-z |
| Access URL: | https://doaj.org/article/147515f745704e329b0e7c2b596df305 |
| Accession Number: | edsdoj.147515f745704e329b0e7c2b596df305 |
| Database: | Directory of Open Access Journals |
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| ISSN: | 20452322 |
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| DOI: | 10.1038/s41598-024-54647-z |
| Published in: | Scientific Reports |
| Language: | English |