Stochastic optimization models for a bike-sharing problem with transshipment

DOI10.1016/j.ejor.2018.12.031zbMath1430.90107OpenAlexW2905631454WikidataQ128671686 ScholiaQ128671686MaRDI QIDQ1728505

Matteo Cagnolari, Francesca Maggioni, Stein W. Wallace, Luca Bertazzi

Publication date: 25 February 2019

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2018.12.031

zbMATH Keywords

stochastic programminglogisticstransshipmentbike-sharing

Mathematics Subject Classification ID

Stochastic programming (90C15) Transportation, logistics and supply chain management (90B06)

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Cites Work

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• The static bicycle relocation problem with demand intervals
• An exact algorithm for the static rebalancing problem arising in bicycle sharing systems
• A destroy and repair algorithm for the bike sharing rebalancing problem
• A heuristic algorithm for a single vehicle static bike sharing rebalancing problem
• Shared mobility systems: an updated survey
• Analyzing the quality of the expected value solution in stochastic programming
• Robust multi-period fleet allocation models for bike-sharing systems
• Modeling with Stochastic Programming
• Introduction to Stochastic Programming
• Full‐load route planning for balancing bike sharing systems by logic‐based benders decomposition