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

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  • Liang, Jiaqi
  • Jena, Sanjay Dominik
  • Lodi, Andrea

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.

Suggested Citation

  • Liang, Jiaqi & Jena, Sanjay Dominik & Lodi, Andrea, 2024. "Dynamic rebalancing optimization for bike-sharing systems: A modeling framework and empirical comparison," European Journal of Operational Research, Elsevier, vol. 317(3), pages 875-889.
    • Handle: RePEc:eee:ejores:v:317:y:2024:i:3:p:875-889
    DOI: 10.1016/j.ejor.2024.04.037
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    References listed on IDEAS

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