BROWSE
Detail
Journal Article
Practical method to improve usage efficiency of bike-sharing systems
- Authors
- Chun-Hee Lee, Jeong-Woo Lee, YungJoon Jung
- Issue Date
- 2022-04
- Citation
- ETRI Journal, v.44, no.2, pp.244-259
- ISSN
- 1225-6463
- Publisher
- 한국전자통신연구원 (ETRI)
- Language
- Korean
- Type
- Journal Article
- Abstract
- Bicycle- or bike-sharing systems (BSSs) have received increasing attention as a secondary transportation mode due to their advantages, for example, accessibility, prevention of air pollution, and health promotion. However, in BSSs, due to bias in bike demands, the bike rebalancing problem should be solved. Various methods have been proposed to solve this problem; however, it is difficult to apply such methods to small cities because bike demand is sparse, and there are many practical issues to solve. Thus, we propose a demand prediction model using multiple classifiers, time grouping, categorization, weather analysis, and station correlation information. In addition, we analyze real-world relocation data by relocation managers and propose a relocation algorithm based on the analytical results to solve the bike rebalancing problem. The proposed system is compared experimentally with the results obtained by the real relocation managers.
- KSP Keywords
- Air Pollution, Demand prediction, Health promotion, Practical issues, Practical method, Real-world, Small cities, Transportation mode, analytical results, bike-sharing, correlation information
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
