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A decision support system for vehicle relocation operations in carsharing systems

Author

Listed:
  • Kek, Alvina G.H.
  • Cheu, Ruey Long
  • Meng, Qiang
  • Fung, Chau Ha

Abstract

This paper presents a novel three-phase optimization-trend-simulation (OTS) decision support system for carsharing operators to determine a set of near-optimal manpower and operating parameters for the vehicle relocation problem. Tested on a set of commercially operational data from a carsharing company in Singapore, the simulation results suggest that the manpower and parameters recommended by the OTS system lead to a reduction in staff cost of 50%, a reduction in zero-vehicle-time ranging between 4.6% and 13.0%, a maintenance of the already low full-port-time and a reduction in number of relocations ranging between 37.1% and 41.1%.

Suggested Citation

  • Kek, Alvina G.H. & Cheu, Ruey Long & Meng, Qiang & Fung, Chau Ha, 2009. "A decision support system for vehicle relocation operations in carsharing systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(1), pages 149-158, January.
    • Handle: RePEc:eee:transe:v:45:y:2009:i:1:p:149-158
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