Bike-sharing systems are widely accepted as an efficient, healthy, and green individual travel mode and have been extensively validated by a great number of studies. Along with high flexible mobility, less usage of fuel, congestion, and emission reduction, the specific sharing features enable travelers to pick up and drop off a rented bicycle as they expect without going to the docking station. However, the imbalance problem against user demand and widespread faulty bikes at various stations not only results in a negative impact on the quality of service but also causes user safety issues. This study gives particular attention to formulating and rebalancing dockless bike-sharing with revamping the faulty bikes and recycling problem. The mechanism is based on minimizing the total routing cost by optimizing the problem, supported by time and capacity constraints. Using CPLEX solver, the validity of the model is tested through random dataset containing three depots, 50 nodes, and three routing vehicles.
Dockless Bike-Sharing Rebalancing Problem with Simultaneous Faulty Bike Recycling
19th COTA International Conference of Transportation Professionals ; 2019 ; Nanjing, China
CICTP 2019 ; 4963-4974
2019-07-02
Conference paper
Electronic Resource
English
Innovative Bike-Sharing in China: Solving Faulty Bike-Sharing Recycling Problem
DOAJ | 2018
|Forecasting usage and bike distribution of dockless bike-sharing using journey data
IET | 2020
|Dockless bike-sharing systems: what are the implications?
Taylor & Francis Verlag | 2020
|Understanding the usage of dockless bike sharing in Singapore
Taylor & Francis Verlag | 2018
|Bike-sharing rebalancing problem by considering availability and accessibility
Taylor & Francis Verlag | 2023
|