@article{ref1,
title="A dynamic carsharing decision support system",
journal="Transportation research part E: logistics and transportation review",
year="2014",
author="Nourinejad, Mehdi and Roorda, Matthew J.",
volume="66",
number="",
pages="36-50",
abstract="This paper proposes a dynamic optimization-simulation model as a decision support system for one-way carsharing organizations. To reduce the vehicle imbalance in one-way systems, a Vehicle Relocation Optimization model is solved successively in a discrete event simulation. Each event is the arrival of a new user. The model is compared to an a priori benchmark model. Autoshare is chosen as a case study. <br><br>RESULTS show that increasing the reservation time (time between requesting and picking up a vehicle) from 0 to 30 min reduces fleet size by 86%. The model captures a tradeoff between vehicle relocation hours and fleet size.<p />",
language="en",
issn="1366-5545",
doi="10.1016/j.tre.2014.03.003",
url="http://dx.doi.org/10.1016/j.tre.2014.03.003"
}