Optimal Fleet Deployment Strategy: Model the Effect of Shared E-Bikes on Bike-Sharing System
Following the bike-sharing system, the shared e-bike becomes increasingly popular due to the advantage in speed, trip distance, and so forth. However, limited research has investigated the impact of the introduction of shared e-bikes on the existing bike-sharing systems. This paper aims to study the...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2021/6678637 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832564822338699264 |
|---|---|
| author | Siying Zhu |
| author_facet | Siying Zhu |
| author_sort | Siying Zhu |
| collection | DOAJ |
| description | Following the bike-sharing system, the shared e-bike becomes increasingly popular due to the advantage in speed, trip distance, and so forth. However, limited research has investigated the impact of the introduction of shared e-bikes on the existing bike-sharing systems. This paper aims to study the effect of shared e-bikes on the traditional bike-sharing system and determine the optimal fleet deployment strategy under a bimodal transportation system. A stochastic multiperiod optimisation model is formulated to capture the demand uncertainty of travelers. The branch-and-bound algorithm is applied to solve problem. A 15-station numerical example is applied to examine the validity of the model and the effectiveness of the solution algorithm. The performance of integrated e-bike and bike-sharing system has been compared with the traditional bike-sharing system. The impacts of the charging efficiency, fleet size, and pricing strategy of e-bike-sharing system on the traditional bike-sharing system have been examined. |
| format | Article |
| id | doaj-art-5d41652db0434ac4937d0b07a6a60a79 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-5d41652db0434ac4937d0b07a6a60a792025-02-03T01:10:08ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/66786376678637Optimal Fleet Deployment Strategy: Model the Effect of Shared E-Bikes on Bike-Sharing SystemSiying Zhu0School of Civil and Environmental Engineering, Nanyang Technological University, SingaporeFollowing the bike-sharing system, the shared e-bike becomes increasingly popular due to the advantage in speed, trip distance, and so forth. However, limited research has investigated the impact of the introduction of shared e-bikes on the existing bike-sharing systems. This paper aims to study the effect of shared e-bikes on the traditional bike-sharing system and determine the optimal fleet deployment strategy under a bimodal transportation system. A stochastic multiperiod optimisation model is formulated to capture the demand uncertainty of travelers. The branch-and-bound algorithm is applied to solve problem. A 15-station numerical example is applied to examine the validity of the model and the effectiveness of the solution algorithm. The performance of integrated e-bike and bike-sharing system has been compared with the traditional bike-sharing system. The impacts of the charging efficiency, fleet size, and pricing strategy of e-bike-sharing system on the traditional bike-sharing system have been examined.http://dx.doi.org/10.1155/2021/6678637 |
| spellingShingle | Siying Zhu Optimal Fleet Deployment Strategy: Model the Effect of Shared E-Bikes on Bike-Sharing System Journal of Advanced Transportation |
| title | Optimal Fleet Deployment Strategy: Model the Effect of Shared E-Bikes on Bike-Sharing System |
| title_full | Optimal Fleet Deployment Strategy: Model the Effect of Shared E-Bikes on Bike-Sharing System |
| title_fullStr | Optimal Fleet Deployment Strategy: Model the Effect of Shared E-Bikes on Bike-Sharing System |
| title_full_unstemmed | Optimal Fleet Deployment Strategy: Model the Effect of Shared E-Bikes on Bike-Sharing System |
| title_short | Optimal Fleet Deployment Strategy: Model the Effect of Shared E-Bikes on Bike-Sharing System |
| title_sort | optimal fleet deployment strategy model the effect of shared e bikes on bike sharing system |
| url | http://dx.doi.org/10.1155/2021/6678637 |
| work_keys_str_mv | AT siyingzhu optimalfleetdeploymentstrategymodeltheeffectofsharedebikesonbikesharingsystem |