Abstract
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 vehicle relocation policy and test the solutions provided by the previous MIP model. We have concluded that these factors influence significantly the company profit and should be considered in future research in one-way carsharing systems planning.
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