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Simulation of One-way Carsharing Systems : Operating Parameters and Relocation Policy Analysis

시뮬레이션을 활용한 편도 카쉐어링 시스템의 최적 운영 조건 및 차량 재배치 알고리즘에 대한 연구

  • Park, SeJoon (Division of Energy Resources Engineering and Industrial Engineering, Kangwon National University) ;
  • Yu, Wooyeon (Department of Industrial and Management Engineering, Myongji University) ;
  • Park, Yunsun (Department of Industrial and Management Engineering, Myongji University)
  • 박세준 (강원대학교 에너지자원.산업공학부) ;
  • 유우연 (명지대학교 산업경영공학과) ;
  • 박윤선 (명지대학교 산업경영공학과)
  • Received : 2019.08.05
  • Accepted : 2019.09.17
  • Published : 2019.09.30

Abstract

The concept of carsharing involves sharing a small number of reserved cars to be used individually by a larger number of people as required. This study examines the operating parameters of one-way carsharing systems in order to determine the appropriate operating conditions that minimizes the lost sales rate. Five operating parameters are tested in this study: the number of stations, the average number of vehicles per station, the rate of one-way trip, the average number of staffs per station, and the relocation policy. The performance of round-trip carsharing systems is also compared to that of one-way carsharing systems. A simulation model is developed and simulations are performed to determine the appropriate combination of operating parameter and levels. The simulation results show that the average number of vehicles per station is the most critical parameter. Other key findings obtained from this research are as follows. First, applying the appropriate relocation policy to one-way carsharing systems can allow more customers to rent vehicles than the traditional round-trip carsharing systems. Second, the appropriate relocation policy should be selected based on the average number of vehicles per station in order to minimize the lost sales rate. Third, the number of stations does not affect the lost sales rate. This study findings will provide tools to understand impact of the carsharing system parameters on the efficiency of the carsharing operations.

Keywords

References

  1. Boyaci, B., Zografos, K.G., and Geroliminis, N., An optimization framework for the development of efficient one-way car-sharing systems, European Journal of Operational Research, 2015, Vol. 240, Issue 3, pp. 718-733. https://doi.org/10.1016/j.ejor.2014.07.020
  2. Bruglieri, M., Colorni, A., and Lue, A., The vehicle relocation problem for the one-way electric vehicle sharing : an application to the Milan case, Procedia-Social and Behavioral Sciences, 2014, Vol. 111, pp. 18-27. https://doi.org/10.1016/j.sbspro.2014.01.034
  3. Cepolina, E.M. and Farina, A., A methodology for planning a new urban car sharing system with fully automated personal vehicles, European Transport Research Review, 2014, Vol. 6, No. 2, pp. 191-204. https://doi.org/10.1007/s12544-013-0118-9
  4. Clemente, M., Fanti, M.P., Mangini, A.M., and Ukovich, W., The vehicle relocation problem in car sharing system : modeling and simulation in a petri net framework, International Conference on Applications and Theory of Petri Nets and Concurrency, Springer Berlin Heidelberg, 2013, pp. 250-269.
  5. Correia, G.H.A. and Antunes, A.P., Optimization approach to depot location and trip selection in one-way carsharing systems, Transportation Research Part E: Logistics and Transportation Review, 2012, Vol. 48, No. 1, pp. 233-247. https://doi.org/10.1016/j.tre.2011.06.003
  6. Febbraro, A., Sacco, N., and Saeednia, M., One-way carsharing : Solving the relocation problem, Transportation Research Record : Journal of the Transportation Research Board, 2012, No. 2319, pp. 113-120.
  7. Ferrero, F., Perboli, G., Rosano, M., and Vesco, A., Carsharing services : An annotated review, Sustainable Cities and Society, 2018, Vol. 37, pp. 501-518. https://doi.org/10.1016/j.scs.2017.09.020
  8. Jang, J.-S. and Rho, J.-H., A study on introduction and activation plan of P2P car sharing-For the apartment complex in seoul-, Journal of the Korea Academia-Industrial Cooperation Society, 2017, Vol. 18, No. 2, pp. 47-66. https://doi.org/10.5762/KAIS.2017.18.2.47
  9. Jorge, D. and Correia, G., Carsharing systems demand estimation and defined operations : a literature review, European Journal of Transport and Infrastructure Research, 2013, Vol. 13, No. 3, pp. 201-220.
  10. Jorge, D., Correia, G.H.A., and Barnhart, C., Comparing optimal relocation operations with simulated relocation policies in one-way carsharing systems, IEEE Transactions in Intelligent Transportation Systems, 2014, Vol. 15, No. 4, pp. 1667-1675. https://doi.org/10.1109/TITS.2014.2304358
  11. Kek, A.G.H., Cheu, R.L., and Chor, M.L., Relocation simulation model for multiple-station shared-use vehicle systems, Transportation Research Record : Journal of the Transportation Research Board, 2006, No. 1986, pp. 81-88.
  12. Kek, A.G.H., Cheu, R.L., Meng, Q., and Fung, C.H., A decision support system for vehicle relocation operations in carsharing systems, Transportation Research Part E, 2009, Vol. 45, No. 1, pp. 149-158. https://doi.org/10.1016/j.tre.2008.02.008
  13. Lee, J. and Park, G., Design of a relocation staff assignment scheme for clustered electric vehicle sharing systems, International Conference on Computational Science and Its Applications, Springer International Publishing, 2014, pp. 639-651.
  14. Lee, K.-Y., Lee, H.-S., Hong, W.-H., and Ko, S.-S., The optimization of one-way car-sharing service by dynamic relocation : Based on PSO algorithm, Journal of Society of Korea Industrial and Systems Engineering, 2016, Vol. 39, No. 2, pp. 28-36. https://doi.org/10.11627/jkise.2016.39.2.028
  15. Rhee, J., Alfian, G., and Yoon, B., Application of simulation method and regression analysis to optimize car operations in carsharing service : a case study in South Korea, Journal of Public Transportation, 2014, Vol. 17, No. 1, pp. 121-160. https://doi.org/10.5038/2375-0901.17.1.6