Shandong Science ›› 2022, Vol. 35 ›› Issue (6): 123-130.doi: 10.3976/j.issn.1002-4026.2022.06.016

• Traffic and Transportation • Previous Articles    

Diversion parking guidance strategy of shared bicycles under reward mechanism considering user preference

PENG Peng(), JIA Shun-ping()   

  1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
  • Received:2022-01-26 Online:2022-12-20 Published:2022-12-02
  • Contact: JIA Shun-ping E-mail:20120879@bjtu.edu.cn;shpjia@bjtu.edu.cn

Abstract:

To alleviate the random-parking problem of shared bicycles due to insufficient parking spaces, this paper proposes a diversion guidance strategy for parking shared bicycles and sets the corresponding reward measures according to user behavior. A survey of stated preference is designed to obtain the user behavior choice preference data. Subsequently, the Logit model is used to analyze the data and build a reward mechanism to encourage the diversion parking by shared-bicycle users. Moreover, a multiobjective optimization model is constructed for minimizing enterprise cost and maximizing transfer parking demand. Yongtaizhuang subway station in Xisanqi is used as an example to examine the practical operability of this strategy. Results show that the user acceptance of the proposed strategy is 60%, and 58.33% of the excessive parking demand is successfully transferred. This strategy can mitigate the problem of insufficient parking spaces for shared bicycles to a certain degree and provides effective suggestions for managing the parking of shared bicycles.

Key words: urban transportation, shared-bicycle parking, user preferences, reward mechanism, guidance strategy

CLC Number: 

  • U491.1