Allocation strategies in a dockless bike sharing system: a community structure based approach

Jie Zhang, Meng Meng, David Zhi Wei Wang, Bo Du

Research output: Contribution to journalArticlepeer-review

9 Citations (SciVal)
34 Downloads (Pure)


This study develops a methodology to determine the optimal allocation position to deploy the bikes in a competitive dockless bike sharing market. The community structure approach in complex network theory is utilized to offer the bike allocation strategies to the market leader in two specific market regimes, with a potential competitor, and without a potential competitor. Two different heuristics are proposed to handle the two scenarios respectively due to different design objectives, wherein the first one aims to attract maximum users and the other one aims to use minimum resources to cover maximum service area. Two hypothetic networks are adopted to illustrate the difference in design under these two regimes. Two numerical studies – a simplified Sioux Falls network and a real network in Singapore – are used to demonstrate the algorithm performance and show the applicability of the model for the scenario that no potential competitor exists.
Original languageEnglish
Pages (from-to)95-104
Number of pages10
JournalInternational Journal of Sustainable Transportation
Issue number2
Early online date24 Mar 2021
Publication statusPublished - 31 Dec 2022


  • Bike allocation
  • community structure
  • complex network
  • service catchment

ASJC Scopus subject areas

  • Environmental Engineering
  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Automotive Engineering
  • Transportation


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