The most relevant problem to manage one-way carsharing systems is the vehicle stock imbalance across the stations. Previous research proposed a mathematical model for choosing the stations’ location as an approach to solve it. However, it does not allow including relocation operations and trip uncertainty. In this paper we develop a simulation model that considers demand variability and one veh...

Once wireless charging lanes are commercialized, vehicles can be charged during the dispatch process, which is of great value to electrification one-way car-sharing fleet. In city road network occupied with lanes, service order arrangement a car tends select stations make full use process for and improve efficiency vehicle circulation. The combination site provides new perspective decision-maki...

Multiple operators commonly coexist in one-way carsharing systems. Therefore, the performance of system is worth exploring. We used systems with two as an example, assuming that one joins first and called leader, another named follower. A nonlinear mixed-integer bilevel programming model set to jointly optimize allocations (including number shared cars parking spaces) relocations. The users’ pr...

We are observing a disruption in the urban transportation worldwide. The number of cities offering shared-use on-demand mobility services is increasing rapidly. They promise sustainable and affordable personal mobility without a burden of owning a vehicle. Despite growing popularity, on-demand services, such as carsharing, remain niche products due to small scale and rebalancing issues. We are ...

The term “carsharing” refers to a distinct business process wherein CSOs typically provide their members with short-term vehicle access from a network of unstaffed and distributed neighborhood locations. Members pay a flat hourly or per mile fee, or both, that includes fuel and insurance costs. These characteristics make carsharing distinct from car rental, through which vehicles are borrowed u...

The study focuses on the strategic decisions including location and capacity of stations fleet size for designing one-way station-based carsharing systems. Under demand uncertainty, we introduce a two-stage risk-averse stochastic model to maximize mean return minimize risk, where conditional value-at-risk (CVaR) is specified as risk measure. To solve problem efficiently, branch-and-cut algorith...