期刊
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
卷 62, 期 -, 页码 163-175出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.omega.2015.09.007
关键词
Bike-sharing systems; Demand forecasting; Routing; Heuristics
资金
- Spanish Ministry of Science and Innovation [IPT 2011-1355-370000]
- Spanish Ministry of Economy and Competitiveness [MTM2012-36163-C06-02]
- Generalitat Valenciana [PROMETEO/2013/049]
Public bike-sharing programs have been deployed in hundreds of cities worldwide, improving mobility in a socially equitable and environmentally sustainable way. However, the quality of the service is drastically affected by imbalances in the distribution of bicycles among stations. We address this problem in two stages. First, we estimate the unsatisfied demand (lack of free lockers or lack of bicycles) at each station for a given time period in the future and for each possible number of bicycles at the beginning of the period. In a second stage, we use these estimates to guide our redistribution algorithms. Computational results using real data from the bike-sharing system in Palma de Mallorca (Spain) are reported. (C) 2015 Elsevier Ltd. All rights reserved.
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