Conference proceeding
Shared Bicycle Regional Allocation Planning Model Based on Bi-Level Programming
CICTP 2019: TRANSPORTATION IN CHINA-CONNECTING THE WORLD, pp 4950-4962
01 Jan 2019
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In recent years, bicycle sharing systems have gradually become the first choice for short-distance travel of residents, but the problem of imbalance between the allocation of bicycles and users remains to be solved. In this research, we propose a shared bicycle regional allocation planning model which is based on bi-level programming. In this model, the upper part considers the goal for system optimization, while the lower part shows respect for system user equilibrium. A hybrid genetic algorithm and particle swarm optimization algorithm are proposed to solve this model. Finally, a case study was conducted on the background of public bicycle travel data in Yancheng City, which shows the effectiveness of the model and algorithm in the actual location. The result shows that this model can determine the location and allocation of the virtual stations in each region, thus can provide a scientific and reasonable basis for the deployment of sharing bicycles.
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Details
- Title
- Shared Bicycle Regional Allocation Planning Model Based on Bi-Level Programming
- Creators
- Yu-Cong Hu - South China Univ Technol, Dept Civil Engn & Transportat, Ji Aotong Bldg, Guangzhou 510640, Guangdong, Peoples R ChinaJun-Ting Li - University of South FloridaZhi-Wei Chen - Univ S Florida, Dept Civil & Environm Engn, Tampa, FL 33620 USA
- Contributors
- L Zhang (Editor)J Ma (Editor)P Liu (Editor)G Zhang (Editor)
- Publication Details
- CICTP 2019: TRANSPORTATION IN CHINA-CONNECTING THE WORLD, pp 4950-4962
- Publisher
- Amer Soc Civil Engineers
- Number of pages
- 13
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000694722200076
- Scopus ID
- 2-s2.0-85070281568
- Other Identifier
- 991021890014404721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Civil
- Transportation Science & Technology