Towards Optimal Free-of-Charge Trip Planning in Bike-Sharing Systems

2017 ◽  
Author(s):  
Jian Xu ◽  
Jianliang Xu ◽  
Guanjie Cao ◽  
Haitao Xu ◽  
Ming Xu ◽  
...  
Keyword(s):  
Trip Planning ◽  
Bike Sharing

Large-scale trip planning for bike-sharing systems

2019 ◽  
Vol 54 ◽  
pp. 16-28 ◽  
Author(s):  
Zhi Li ◽  
Jianhui Zhang ◽  
Jiayu Gan ◽  
Pengqian Lu ◽  
Zhigang Gao ◽  
...  
Keyword(s):  
Large Scale ◽  
Trip Planning ◽  
Bike Sharing

scholarly journals Abstracting mobility flows from bike-sharing systems

2021 ◽  
Author(s):  
Fabio Kon ◽  
Éderson Cássio Ferreira ◽  
Higor Amario de Souza ◽  
Fábio Duarte ◽  
Paolo Santi ◽  
...  
Keyword(s):  
Bike Sharing

scholarly journals UniCycle: An Android Application of Bike Sharing System in the Digital Campus

2021 ◽  
Vol 1755 (1) ◽  
pp. 012010
Author(s):  
K.N.F. Ku Azir ◽  
M.N. Junita ◽  
E.Y.N. Loke ◽  
M.F. Zul ◽  
M.A.A. Roszaki ◽  
...  
Keyword(s):  
Android Application ◽  
Digital Campus ◽  
Bike Sharing

System Dynamics Modeling for a Public–Private Partnership Program to Promote Bicycle–Metro Integration Based on Evolutionary Game

2021 ◽  
pp. 036119812110124
Author(s):  
Jianming Cai ◽  
Yue Liang
Keyword(s):  
System Dynamics ◽  
Evolutionary Game ◽  
Public Private Partnership ◽  
Dynamics Simulation ◽  
Rail Transit ◽  
Long Distance ◽  
Private Partnership ◽  
Bike Sharing ◽  
Integration Mode ◽  
Partnership Program

A marriage between dockless bike-sharing systems and rail transit presents new opportunities for sustainable transportation in Chinese cities. However, how to promote the bicycle–metro integration mode remains largely unstudied. This paper designs a public–private partnership program to promote bicycle–metro integration. We consider the cooperation between bike-sharing companies and rail transit companies to improve both services and attract long-distance travelers to choose the bicycle–metro integration mode, with government subsidies. To analyze the proportion of each population participating in this public–private partnership program, we establish an evolutionary game model considering bike-sharing companies, rail transit companies, and long-distance travelers, and obtain eight scenarios of equilibriums and corresponding stable conditions. To prove the evolutionary game analysis, we construct a system dynamics simulation model and confirm that the public–private partnership project can be achieved in reality. We discuss key parameters that affect the final stable state through sensitivity analysis. The results demonstrate that by reasonably adjusting the values of parameters, each equilibrium can be changed into an optimal evolutionary stable strategy. This study can provide useful policy implications and operational recommendations for government agencies, bike-sharing companies, and transit authorities to promote bicycle–metro integration.

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