Dynamic repositioning strategy in a bike-sharing system; how to prioritize and how to rebalance a bike station

DOI10.1016/j.ejor.2018.06.051zbMath1403.90139OpenAlexW2862315792WikidataQ129596939 ScholiaQ129596939MaRDI QIDQ1991192

Benjamin Legros

Publication date: 30 October 2018

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

Full work available at URL: https://doi.org/10.1016/j.ejor.2018.06.051

zbMATH Keywords

Markov decision processrelative value functionbike-sharing systemone-step policy improvementrepositioning strategy

Mathematics Subject Classification ID

Integer programming (90C10) Transportation, logistics and supply chain management (90B06) Inventory, storage, reservoirs (90B05) Markov and semi-Markov decision processes (90C40)

Related Items (11)

A multi-start evolutionary local search for the one-commodity pickup and delivery traveling salesman problem ⋮ Factors affecting the final solution of the bike-sharing rebalancing problem under heuristic algorithms ⋮ Admission and pricing optimization of on-street parking with delivery bays ⋮ Large neighborhood search for the bike request scheduling problem ⋮ A transient symmetry analysis for the \(M/M/1/k\) queue ⋮ To outsource or not: bike-share rebalancing strategies under the service quality deviation of a third party ⋮ Risk‐averse two‐stage stochastic programming for the inventory rebalancing of bike‐sharing systems ⋮ A branch-and-cut algorithm for the split-demand one-commodity pickup-and-delivery travelling salesman problem ⋮ Cross docking for libraries with a depot ⋮ A two-stage robust approach to integrated station location and rebalancing vehicle service design in bike-sharing systems ⋮ Substitution-based equipment balancing in service networks with multiple equipment types

Uses Software

• Reservation

Cites Work

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