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Evolutionary game research on the decision-making of shared bike placement volume based on dynamic and static punishment mechanisms

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  • Xiaoping Wu
  • Luyao Jiang

Abstract

Currently, oversupply in the bike-sharing market has become a globalized problem. The oversupply of bike-sharing in China is severe, so this paper takes the current situation of bike-sharing operations in China as an example, and adopts the evolutionary game method to study the dynamic evolutionary process of government and enterprises in deciding the number of placements. Then the effects of core parameters on participants’ behaviors are discussed to explore ways to solve the global oversupply of shared bicycles. The results show that the government needs to be involved and play a leading role in solving the problem of mass placement of shared bikes. When the revenue of strict supervision by the government is less than the cost, a dynamic punishment mechanism should be adopted. When the income is higher than the cost, a static punishment mechanism should be adopted.

Suggested Citation

  • Xiaoping Wu & Luyao Jiang, 2025. "Evolutionary game research on the decision-making of shared bike placement volume based on dynamic and static punishment mechanisms," Transportation Planning and Technology, Taylor & Francis Journals, vol. 48(5), pages 853-876, July.
    • Handle: RePEc:taf:transp:v:48:y:2025:i:5:p:853-876
    DOI: 10.1080/03081060.2024.2383304
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