Data-Driven Approach to Operation and Location Considering Range Anxiety of One-Way Electric Vehicles Sharing System

Electric vehicles (EVs) has been a main component of car sharing market because of their environment friendly attributes. However, imbalance and range anxiety, as frequent problem in traditional one-way EVs sharing system, make a poor operation sometime. For perform a practical one-way car sharing system, considering the special attributes like charging demand, charging modes and range anxiety resulting from limited battery volume about EVs, we propose a mixed integer programming(MIP) model to satisfy the demand generated by customers who change reserved drop-off station. Moreover, we address the location problem with the allocation of two types of charging piles to meet the different types of demand (i.e. the fast charging mode meet the urgent rent demand). Further, we make a numerical study combining practical data collected in Beijing with practical data to decide operation variables above for one-way car sharing system. We find that preference has an influence on the depots location and fleet size of the one-way EVs sharing system.