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A dynamic carsharing decision support system

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  • Nourinejad, Mehdi
  • Roorda, Matthew J.

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.

Suggested Citation

  • Nourinejad, Mehdi & Roorda, Matthew J., 2014. "A dynamic carsharing decision support system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 66(C), pages 36-50.
    • Handle: RePEc:eee:transe:v:66:y:2014:i:c:p:36-50
    DOI: 10.1016/j.tre.2014.03.003
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    References listed on IDEAS

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