Optimal bike allocations in a competitive bike sharing market

Jie Zhang, Meng Meng, David Zhi Wei Wang, Li Zhou, Linghui Han

Research output: Contribution to journalArticlepeer-review

2 Citations (SciVal)
1 Downloads (Pure)


This paper studies the bike allocation problem in a competitive bike sharing market. To overcome computational challenges, a continuum approximation (CA) approach is applied, where the allocation points and user demand are assumed to be continuously distributed in a two-dimensional region. Companies offering bike sharing service bear both allocation cost and bike depreciation cost while earning revenue from fare collection. The user's selection of bike service is affected by both walking distance and preference towards bike quality. The elasticity of the demand is considered in relation to the density of allocation points in the market. A leader-follower Stackelberg competition model is developed to derive the optimal allocation strategy for market leader. Two sets of numerical studies - one hypothetical case and one from a real case - are conducted to specify the impact of the parameters on model performance and illustrate how the proposed model can be applied to support the decision making.

Original languageEnglish
Article number135602
JournalJournal of Cleaner Production
Early online date13 Dec 2022
Publication statusPublished - 15 Jan 2023


  • Allocation strategy
  • Bike sharing
  • Continuous approximation
  • Demand elasticity
  • Stackelberg competition

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Building and Construction
  • Environmental Science(all)
  • Strategy and Management
  • Industrial and Manufacturing Engineering


Dive into the research topics of 'Optimal bike allocations in a competitive bike sharing market'. Together they form a unique fingerprint.

Cite this