Bike-Sharing Static Rebalancing by Considering the Collection of Bicycles in Need of Repair
Bike-sharing systems, which are used in many cities worldwide, need to maintain a balance between the availability of bicycles and the availability of unoccupied bicycle slots. This paper presents an investigation of the net flow of each bike-sharing station in Jersey City. The data was recorded at...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2018/8086378 |
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| author | Sheng Zhang Guanhua Xiang Zhongxiang Huang |
| author_facet | Sheng Zhang Guanhua Xiang Zhongxiang Huang |
| author_sort | Sheng Zhang |
| collection | DOAJ |
| description | Bike-sharing systems, which are used in many cities worldwide, need to maintain a balance between the availability of bicycles and the availability of unoccupied bicycle slots. This paper presents an investigation of the net flow of each bike-sharing station in Jersey City. The data was recorded at 1-minute intervals. The sum of the initial bicycle number and the minimum net flow value was determined to be the demand for static rebalancing, and this led to the proposal of a bike-sharing demand prediction method based on autoregressive integrated moving average models. Considering that the existence of bicycles in a state of disrepair may adversely affect demand prediction and routine planning, we present an integer linear programming formulation to model bike-sharing static rebalancing. The proposed formulation takes into account the problem introduced by the need to collect bicycles in need of repair. A hybrid Discrete Particle Swarm Optimization (DPSO) algorithm was proposed to solve the model, which incorporates a reduced variable neighborhood search (RVNS) functionality together with DPSO to improve the global optimization performance. The effectiveness of the algorithms was verified by a detailed numerical example. |
| format | Article |
| id | doaj-art-2bc161954f4d4a0db4316a781df9980f |
| institution | OA Journals |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-2bc161954f4d4a0db4316a781df9980f2025-08-20T02:04:31ZengWileyJournal of Advanced Transportation0197-67292042-31952018-01-01201810.1155/2018/80863788086378Bike-Sharing Static Rebalancing by Considering the Collection of Bicycles in Need of RepairSheng Zhang0Guanhua Xiang1Zhongxiang Huang2School of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, ChinaSchool of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, ChinaSchool of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, ChinaBike-sharing systems, which are used in many cities worldwide, need to maintain a balance between the availability of bicycles and the availability of unoccupied bicycle slots. This paper presents an investigation of the net flow of each bike-sharing station in Jersey City. The data was recorded at 1-minute intervals. The sum of the initial bicycle number and the minimum net flow value was determined to be the demand for static rebalancing, and this led to the proposal of a bike-sharing demand prediction method based on autoregressive integrated moving average models. Considering that the existence of bicycles in a state of disrepair may adversely affect demand prediction and routine planning, we present an integer linear programming formulation to model bike-sharing static rebalancing. The proposed formulation takes into account the problem introduced by the need to collect bicycles in need of repair. A hybrid Discrete Particle Swarm Optimization (DPSO) algorithm was proposed to solve the model, which incorporates a reduced variable neighborhood search (RVNS) functionality together with DPSO to improve the global optimization performance. The effectiveness of the algorithms was verified by a detailed numerical example.http://dx.doi.org/10.1155/2018/8086378 |
| spellingShingle | Sheng Zhang Guanhua Xiang Zhongxiang Huang Bike-Sharing Static Rebalancing by Considering the Collection of Bicycles in Need of Repair Journal of Advanced Transportation |
| title | Bike-Sharing Static Rebalancing by Considering the Collection of Bicycles in Need of Repair |
| title_full | Bike-Sharing Static Rebalancing by Considering the Collection of Bicycles in Need of Repair |
| title_fullStr | Bike-Sharing Static Rebalancing by Considering the Collection of Bicycles in Need of Repair |
| title_full_unstemmed | Bike-Sharing Static Rebalancing by Considering the Collection of Bicycles in Need of Repair |
| title_short | Bike-Sharing Static Rebalancing by Considering the Collection of Bicycles in Need of Repair |
| title_sort | bike sharing static rebalancing by considering the collection of bicycles in need of repair |
| url | http://dx.doi.org/10.1155/2018/8086378 |
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