Bike Fleet Allocation Models for Repositioning in Bike-Sharing Systems

2018 ◽  
Vol 10 (1) ◽  
pp. 19-29 ◽  
Author(s):  
Qun Chen ◽  
Mei Liu ◽  
Xinyu Liu
Keyword(s):  
Bike Sharing ◽  
Fleet Allocation

scholarly journals Bike-Sharing Fleet Allocation Optimization Based on Demand Gap and Cycle Rebalancing Strategies

2022 ◽  
Vol 2022 ◽  
pp. 1-14
Author(s):  
Jianhua Cao ◽  
Weixiang Xu ◽  
Wenzheng Wang
Keyword(s):  
Optimization Model ◽  
Consumer Demand ◽  
Time Interval ◽  
Decision Variable ◽  
Initial Number ◽  
Single Cycle ◽  
On Demand ◽  
Bike Sharing ◽  
Fleet Allocation

In Bike-Sharing System (BSS), the initial number of bikes at station will affect the time interval and the amount of rebalancing, which is usually empirically determined and does not reflect the characteristics of consumer demand in finer time granularity, thus possibly leading to biased conclusions. In this paper, a fleet allocation method considering demand gap is first proposed to calculate the initial number of bikes at each station. Then, taking the number of demand gap periods as the decision variable, an optimization model is built to minimize the total rebalancing amount. Furthermore, the research periods are divided into multiple subcycles, the single-cycle and multicycle rebalancing strategies are presented, and the additional subcycle rebalancing method is introduced to amend the number of bikes between subcycles to decrease the rebalancing amount of the next subcycle. Finally, our methods are verified in effectively decreasing the rebalancing amount in a long-term rebalancing problem.

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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