@article{Fan:207440,
      recid = {207440},
      author = {Fan, Wei},
      title = {Optimizing Strategic Allocation of Vehicles for One-Way  Car-sharing Systems Under Demand Uncertainty},
      journal = {Journal of the Transportation Research Forum},
      address = {2014},
      number = {1424-2016-118054},
      year = {2014},
      abstract = {Car-sharing offers an environmentally sustainable,  socially responsible and economically feasible
mobility  form in which a fleet of shared-use vehicles in a number of  locations can be accessed and
used by many people on  as-needed basis at an hourly or mileage rate. To ensure its  sustainability,
car-sharing operators must be able to  effectively manage dynamic and uncertain demands, and
make  the best decisions on strategic vehicle allocation and  operational vehicle reallocation both
in time and space to  improve their profits while keeping costs under control.  This paper develops
a stochastic optimization method to  optimize strategic allocation of vehicles for one-way  carsharing
systems under demand uncertainty. A multi-stage  stochastic linear programming model
is developed and solved  for use in the context of car-sharing. A seven-stage  experimental network
study is conducted. Numerical results  and computational insights are discussed.},
      url = {http://ageconsearch.umn.edu/record/207440},
      doi = {https://doi.org/10.22004/ag.econ.207440},
}