A dynamic carsharing decision support system

Mehdi Nourinejad and Matthew J. Roorda

Transportation Research Part E: Logistics and Transportation Review, 2014, vol. 66, issue C, 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. Results show that increasing the reservation time (time between requesting and picking up a vehicle) from 0 to 30min reduces fleet size by 86%. The model captures a tradeoff between vehicle relocation hours and fleet size.

Keywords: Carsharing; Decision support system; Optimization; Simulation (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (33)

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DOI: 10.1016/j.tre.2014.03.003

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