  To enhance the service quality of bikesharing programs, bike fleet relocation
is widely applied to redistribute bikes from bike sufficient areas to bike
shortage areas thereby making a better bike-rider balance across different
areas. In this study, a network flow model is proposed to solve the optimal
relocation problem of shared bikes, and is implemented with the actual dockless
shared bike usage data from Yishun, Singapore, to demonstrate its
effectiveness. A series of sensitivity analyses are performed to test the
impact of the relocation cost, the number of bikes and truck trikes, and the
usage price on bike relocation. The results reveal an apparent connection
between the profitability of the system and the analyzed factors. This work
offers a modeling framework to start and operate a bikesharing service by
determining the number of bikes and trikes as well as price schemes. Some
bikesharing regulation policies are also suggested.
