Dynamic rebalancing optimization for bike-sharing systems: A modeling framework and empirical comparison

Jiaqi Liang, Sanjay Dominik Jena and Andrea Lodi

European Journal of Operational Research, 2024, vol. 317, issue 3, 875-889

Abstract: Station-based Bike-sharing systems have been implemented in multiple major cities, offering a low-cost and environmentally friendly transportation alternative. As a remedy to unbalanced stations, operators typically rebalance bikes by trucks. The resulting dynamic planning has received significant attention from the Operations Research community. Due to its modeling flexibility, mixed-integer programming remains a popular choice. However, the complex planning problem requires significant simplifications to obtain a computationally tractable model. As a result, existing models have used a large variety of modeling assumptions and techniques regarding decision variables and constraints. Unfortunately, the impact of such assumptions on the solutions’ performance in practice remains generally unexplored.

Keywords: Facilities planning and design; Bike sharing systems; Dynamic rebalancing; Modeling framework; Mixed-integer programming (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:317:y:2024:i:3:p:875-889

DOI: 10.1016/j.ejor.2024.04.037

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