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

Xiaoping Wu and Luyao Jiang

Transportation Planning and Technology, 2025, vol. 48, issue 5, 853-876

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.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03081060.2024.2383304 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:transp:v:48:y:2025:i:5:p:853-876

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/GTPT20

DOI: 10.1080/03081060.2024.2383304

Access Statistics for this article

Transportation Planning and Technology is currently edited by Dr. David Gillingwater

More articles in Transportation Planning and Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().