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Year 2023, Volume: 7 Issue: 1, 1513 - 1530, 30.06.2023

Abstract

References

  • Albiński, S., Fontaine, P., & Minner, S. (2018). Performance analysis of a hybrid bike sharing system: A service-level-based approach under censored demand observations. Transportation research part E: logistics and transportation review, 116, 59-69. doi: https://doi.org/10.1016/j.tre.2018.05.011
  • Almuhtady, A., Lee, S., Romeijn, E., Wynblatt, M., & Ni, J. (2014). A degradation-informed battery-swapping policy for fleets of electric or hybrid-electric vehicles. Transportation Science, 48(4), 609-618. Doi: https://doi.org/10.1287/trsc.2013.0494
  • Ataç, S., Obrenović, N., & Bierlaire, M. (2021). Vehicle sharing systems: A review and a holistic management framework. EURO Journal on Transportation and Logistics, 10, 100033. Doi: https://doi.org/10.1016/j.ejtl.2021.100033
  • Barth, M., & Shaheen, S. A. (2002). Shared-use vehicle systems: Framework for classifying carsharing, station cars, and combined approaches. Transportation Research Record, 1791(1), 105-112. doi: https://doi.org/10.3141/1791-16
  • Barth, M., & Todd, M. (1999). Simulation model performance analysis of a multiple station shared vehicle system. Transportation Research Part C: Emerging Technologies, 7(4), 237-259. doi: https://doi.org/10.1016/S0968-090X(99)00021-2
  • Barth, M., & Todd, M. (2001). User behavior evaluation of an intelligent shared electric vehicle system. Transportation Research Record, 1760(1), 145-152. doi: https://doi.org/10.3141/1760-1
  • Barth, M., Shaheen, S. A., Fukuda, T., & Fukuda, A. (2006). Carsharing and station cars in Asia: Overview of Japan and Singapore. Transportation Research Record, 1986(1), 106-115. doi: https://doi.org/10.1177/0361198106198600114
  • Barth, M., Todd, M., & Xue, L. (2004). User-based vehicle relocation techniques for multiple-station shared-use vehicle systems. Retrieved from https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.360.8614 Bird marks one year anniversary with 10 millionth environmentally-friendly ride, (2018). Retrieved from https://www.prnewswire.com/news-releases/bird-marks-one-year-anniversary-with-10-millionth-environmentally-friendly-ride-300715767.html
  • Boyacı, B., & Zografos, K. G. (2019). Investigating the effect of temporal and spatial flexibility on the performance of one-way electric carsharing systems. Transportation Research Part B: Methodological, 129, 244-272. doi: https://doi.org/10.1016/j.trb.2019.09.003
  • Boyacı, B., Zografos, K. G., & Geroliminis, N. (2015). An optimization framework for the development of efficient one-way car-sharing systems. European Journal of Operational Research, 240(3), 718-733. doi: https://doi.org/10.1016/j.ejor.2014.07.020
  • Boyacı, B., Zografos, K. G., & Geroliminis, N. (2015). An optimization framework for the development of efficient one-way car-sharing systems. European Journal of Operational Research, 240(3), 718-733. doi: https://doi.org/10.1016/j.ejor.2014.07.020
  • Boyacı, B., Zografos, K. G., & Geroliminis, N. (2017). An integrated optimization-simulation framework for vehicle and personnel relocations of electric carsharing systems with reservations. Transportation Research Part B: Methodological, 95, 214-237. doi: https://doi.org/10.1016/j.trb.2016.10.007
  • Brandstätter, G., Gambella, C., Leitner, M., Malaguti, E., Masini, F., Puchinger, J., ... & Vigo, D. (2016). Overview of optimization problems in electric car-sharing system design and management. In Dynamic perspectives on managerial decision making (pp. 441-471). Springer, Cham. Retrieved from https://link.springer.com/chapter/10.1007/978-3-319-39120-5_24
  • Cai, L., Wang, X., Luo, Z., & Liang, Y. (2022). A hybrid adaptive large neighborhood search and tabu search algorithm for the electric vehicle relocation problem. Computers & Industrial Engineering, 167, 108005. doi: https://doi.org/10.1016/j.cie.2022.108005
  • Cavadas, J., de Almeida Correia, G. H., & Gouveia, J. (2015). A MIP model for locating slow-charging stations for electric vehicles in urban areas accounting for driver tours. Transportation Research Part E: Logistics and Transportation Review, 75, 188-201. doi: https://doi.org/10.1016/j.tre.2014.11.005
  • Celsor, C., & Millard-Ball, A. (2007). Where does carsharing work? Using geographic information systems to assess market potential. Transportation Research Record, 1992(1), 61-69. doi: https://doi.org/10.3141/1992-08
  • Chow, Y., Yu, J. Y., & Pavone, M. (2015). Two Phase $ Q-$ learning for Bidding-based Vehicle Sharing. arXiv preprint arXiv:1509.08932. doi: https://doi.org/10.48550/arXiv.1509.08932 Costain, C., Ardron, C., & Habib, K. N. (2012). Synopsis of users’ behaviour of a carsharing program: A case study in Toronto. Transportation Research Part A: Policy and Practice, 46(3), 421-434. doi: https://doi.org/10.1016/j.tra.2011.11.005
  • de Almeida Correia, G. H., & Antunes, A. P. (2012). Optimization approach to depot location and trip selection in one-way carsharing systems. Transportation Research Part E: Logistics and Transportation Review, 48(1), 233-247. doi: https://doi.org/10.1016/j.tre.2011.06.003
  • Efthymiou, D., Antoniou, C., & Waddell, P. (2012). Which factors affect the willingness to join vehicle sharing systems? Evidence from young Greek drivers. Paper presented at the Transportation Research Board 91st Annual Meeting. Retrieved from https://trid.trb.org/view/1129049
  • Enzi, M., Parragh, S. N., Pisinger, D., & Prandtstetter, M. (2021). Modeling and solving the multimodal car-and ride-sharing problem. European Journal of Operational Research, 293(1), 290-303. doi: https://doi.org/10.1016/j.ejor.2020.11.046
  • Fan, W., Machemehl, R. B., & Lownes, N. E. (2008). Carsharing: Dynamic decision-making problem for vehicle allocation. Transportation Research Record, 2063(1), 97-104. doi: https://doi.org/10.3141/2063-12
  • Ferrero, F., Perboli, G., Rosano, M., & Vesco, A. (2018). Car-sharing services: An annotated review. Sustainable Cities and Society, 37, 501-518. doi: https://doi.org/10.1016/j.scs.2017.09.020
  • Firnkorn, J., & Müller, M. (2011). What will be the environmental effects of new free-floating car-sharing systems? The case of car2go in Ulm. Ecological economics, 70(8), 1519-1528. doi: https://doi.org/10.1016/j.ecolecon.2011.03.014
  • Golalikhani, M., Oliveira, B. B., Carravilla, M. A., Oliveira, J. F., & Antunes, A. P. (2021). Carsharing: A review of academic literature and business practices toward an integrated decision-support framework. Transportation research part E: logistics and transportation review, 149, 102280. doi: https://doi.org/10.1016/j.tre.2021.102280
  • Huang, K., de Almeida Correia, G. H., & An, K. (2018). Solving the station-based one-way carsharing network planning problem with relocations and non-linear demand. Transportation Research Part C: Emerging Technologies, 90, 1-17. doi: https://doi.org/10.1016/j.trc.2018.02.020
  • Jorge, D., & Correia, G. (2013). Carsharing systems demand estimation and defined operations: a literature review. European Journal of Transport and Infrastructure Research, 13(3). doi: https://doi.org/10.18757/ejtir.2013.13.3.2999
  • Jorge, D., Barnhart, C., & de Almeida Correia, G. H. (2015). Assessing the viability of enabling a round-trip carsharing system to accept one-way trips: Application to Logan Airport in Boston. Transportation Research Part C: Emerging Technologies, 56, 359-372. doi: https://doi.org/10.1016/j.trc.2015.04.020
  • Jorge, D., Correia, G. H., & Barnhart, C. (2014). Comparing optimal relocation operations with simulated relocation policies in one-way carsharing systems. IEEE Transactions on Intelligent Transportation Systems, 15(4), 1667-1675. doi: https://doi.org/10.1109/TITS.2014.2304358
  • Jorge, D., Molnar, G., & de Almeida Correia, G. H. (2015). Trip pricing of one-way station-based carsharing networks with zone and time of day price variations. Transportation Research Part B: Methodological, 81, 461-482. doi: https://doi.org/10.1016/j.trb.2015.06.003
  • Kim, J., Rasouli, S., & Timmermans, H. (2017). Satisfaction and uncertainty in car-sharing decisions: An integration of hybrid choice and random regret-based models. Transportation Research Part A: Policy and Practice, 95, 13-33. doi: https://doi.org/10.1016/j.tra.2016.11.005
  • Kothari, C. R. (2004). Research methodology: Methods and techniques. New Age International. Retrieved from https://books.google.com.tr/books?hl=tr&lr
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A Literature Review on Potential Decision Problems for Vehicle Sharing Systems

Year 2023, Volume: 7 Issue: 1, 1513 - 1530, 30.06.2023

Abstract

Vehicle Sharing (VS) is a car rental model where people rent vehicles for short periods, usually hourly. In this system, users can reserve a vehicle and have a short-term use, and the stages of receiving and delivering the vehicle belong to the person himself. Vehicle Sharing Systems (VSS), on the other hand, are systems that include a fleet of vehicles with small and medium sizes for use by a relatively large group of members. VSS are divided into five groups according to the vehicles used; such as Bicycle Sharing Systems (BSS), Car Sharing Systems (CSS), Autonomous Connected Electric Vehicle Sharing Systems (ACEV-SS), Electric Car Sharing Systems (eCSS), and Electric Small Vehicles Sharing Systems (ESVSS). VSS's are examined under four sub-headings due to how they operate: preferred travel type, vehicle imbalance management strategy, pricing strategy, and parking organization. In this study, decision problems encountered at strategic, tactical, and operational levels for CSS are determined and the existing studies in the literature are examined. The CSSs in these studies are classified according to their functioning types. In addition, decision problems are determined by examining the studies available in the literature for eCSS, and the eCSS in these studies are classified according to their functioning types. This study aims to provide the researchers with a general perspective on the topic by examining the studies on VSS.

References

  • Albiński, S., Fontaine, P., & Minner, S. (2018). Performance analysis of a hybrid bike sharing system: A service-level-based approach under censored demand observations. Transportation research part E: logistics and transportation review, 116, 59-69. doi: https://doi.org/10.1016/j.tre.2018.05.011
  • Almuhtady, A., Lee, S., Romeijn, E., Wynblatt, M., & Ni, J. (2014). A degradation-informed battery-swapping policy for fleets of electric or hybrid-electric vehicles. Transportation Science, 48(4), 609-618. Doi: https://doi.org/10.1287/trsc.2013.0494
  • Ataç, S., Obrenović, N., & Bierlaire, M. (2021). Vehicle sharing systems: A review and a holistic management framework. EURO Journal on Transportation and Logistics, 10, 100033. Doi: https://doi.org/10.1016/j.ejtl.2021.100033
  • Barth, M., & Shaheen, S. A. (2002). Shared-use vehicle systems: Framework for classifying carsharing, station cars, and combined approaches. Transportation Research Record, 1791(1), 105-112. doi: https://doi.org/10.3141/1791-16
  • Barth, M., & Todd, M. (1999). Simulation model performance analysis of a multiple station shared vehicle system. Transportation Research Part C: Emerging Technologies, 7(4), 237-259. doi: https://doi.org/10.1016/S0968-090X(99)00021-2
  • Barth, M., & Todd, M. (2001). User behavior evaluation of an intelligent shared electric vehicle system. Transportation Research Record, 1760(1), 145-152. doi: https://doi.org/10.3141/1760-1
  • Barth, M., Shaheen, S. A., Fukuda, T., & Fukuda, A. (2006). Carsharing and station cars in Asia: Overview of Japan and Singapore. Transportation Research Record, 1986(1), 106-115. doi: https://doi.org/10.1177/0361198106198600114
  • Barth, M., Todd, M., & Xue, L. (2004). User-based vehicle relocation techniques for multiple-station shared-use vehicle systems. Retrieved from https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.360.8614 Bird marks one year anniversary with 10 millionth environmentally-friendly ride, (2018). Retrieved from https://www.prnewswire.com/news-releases/bird-marks-one-year-anniversary-with-10-millionth-environmentally-friendly-ride-300715767.html
  • Boyacı, B., & Zografos, K. G. (2019). Investigating the effect of temporal and spatial flexibility on the performance of one-way electric carsharing systems. Transportation Research Part B: Methodological, 129, 244-272. doi: https://doi.org/10.1016/j.trb.2019.09.003
  • Boyacı, B., Zografos, K. G., & Geroliminis, N. (2015). An optimization framework for the development of efficient one-way car-sharing systems. European Journal of Operational Research, 240(3), 718-733. doi: https://doi.org/10.1016/j.ejor.2014.07.020
  • Boyacı, B., Zografos, K. G., & Geroliminis, N. (2015). An optimization framework for the development of efficient one-way car-sharing systems. European Journal of Operational Research, 240(3), 718-733. doi: https://doi.org/10.1016/j.ejor.2014.07.020
  • Boyacı, B., Zografos, K. G., & Geroliminis, N. (2017). An integrated optimization-simulation framework for vehicle and personnel relocations of electric carsharing systems with reservations. Transportation Research Part B: Methodological, 95, 214-237. doi: https://doi.org/10.1016/j.trb.2016.10.007
  • Brandstätter, G., Gambella, C., Leitner, M., Malaguti, E., Masini, F., Puchinger, J., ... & Vigo, D. (2016). Overview of optimization problems in electric car-sharing system design and management. In Dynamic perspectives on managerial decision making (pp. 441-471). Springer, Cham. Retrieved from https://link.springer.com/chapter/10.1007/978-3-319-39120-5_24
  • Cai, L., Wang, X., Luo, Z., & Liang, Y. (2022). A hybrid adaptive large neighborhood search and tabu search algorithm for the electric vehicle relocation problem. Computers & Industrial Engineering, 167, 108005. doi: https://doi.org/10.1016/j.cie.2022.108005
  • Cavadas, J., de Almeida Correia, G. H., & Gouveia, J. (2015). A MIP model for locating slow-charging stations for electric vehicles in urban areas accounting for driver tours. Transportation Research Part E: Logistics and Transportation Review, 75, 188-201. doi: https://doi.org/10.1016/j.tre.2014.11.005
  • Celsor, C., & Millard-Ball, A. (2007). Where does carsharing work? Using geographic information systems to assess market potential. Transportation Research Record, 1992(1), 61-69. doi: https://doi.org/10.3141/1992-08
  • Chow, Y., Yu, J. Y., & Pavone, M. (2015). Two Phase $ Q-$ learning for Bidding-based Vehicle Sharing. arXiv preprint arXiv:1509.08932. doi: https://doi.org/10.48550/arXiv.1509.08932 Costain, C., Ardron, C., & Habib, K. N. (2012). Synopsis of users’ behaviour of a carsharing program: A case study in Toronto. Transportation Research Part A: Policy and Practice, 46(3), 421-434. doi: https://doi.org/10.1016/j.tra.2011.11.005
  • de Almeida Correia, G. H., & Antunes, A. P. (2012). Optimization approach to depot location and trip selection in one-way carsharing systems. Transportation Research Part E: Logistics and Transportation Review, 48(1), 233-247. doi: https://doi.org/10.1016/j.tre.2011.06.003
  • Efthymiou, D., Antoniou, C., & Waddell, P. (2012). Which factors affect the willingness to join vehicle sharing systems? Evidence from young Greek drivers. Paper presented at the Transportation Research Board 91st Annual Meeting. Retrieved from https://trid.trb.org/view/1129049
  • Enzi, M., Parragh, S. N., Pisinger, D., & Prandtstetter, M. (2021). Modeling and solving the multimodal car-and ride-sharing problem. European Journal of Operational Research, 293(1), 290-303. doi: https://doi.org/10.1016/j.ejor.2020.11.046
  • Fan, W., Machemehl, R. B., & Lownes, N. E. (2008). Carsharing: Dynamic decision-making problem for vehicle allocation. Transportation Research Record, 2063(1), 97-104. doi: https://doi.org/10.3141/2063-12
  • Ferrero, F., Perboli, G., Rosano, M., & Vesco, A. (2018). Car-sharing services: An annotated review. Sustainable Cities and Society, 37, 501-518. doi: https://doi.org/10.1016/j.scs.2017.09.020
  • Firnkorn, J., & Müller, M. (2011). What will be the environmental effects of new free-floating car-sharing systems? The case of car2go in Ulm. Ecological economics, 70(8), 1519-1528. doi: https://doi.org/10.1016/j.ecolecon.2011.03.014
  • Golalikhani, M., Oliveira, B. B., Carravilla, M. A., Oliveira, J. F., & Antunes, A. P. (2021). Carsharing: A review of academic literature and business practices toward an integrated decision-support framework. Transportation research part E: logistics and transportation review, 149, 102280. doi: https://doi.org/10.1016/j.tre.2021.102280
  • Huang, K., de Almeida Correia, G. H., & An, K. (2018). Solving the station-based one-way carsharing network planning problem with relocations and non-linear demand. Transportation Research Part C: Emerging Technologies, 90, 1-17. doi: https://doi.org/10.1016/j.trc.2018.02.020
  • Jorge, D., & Correia, G. (2013). Carsharing systems demand estimation and defined operations: a literature review. European Journal of Transport and Infrastructure Research, 13(3). doi: https://doi.org/10.18757/ejtir.2013.13.3.2999
  • Jorge, D., Barnhart, C., & de Almeida Correia, G. H. (2015). Assessing the viability of enabling a round-trip carsharing system to accept one-way trips: Application to Logan Airport in Boston. Transportation Research Part C: Emerging Technologies, 56, 359-372. doi: https://doi.org/10.1016/j.trc.2015.04.020
  • Jorge, D., Correia, G. H., & Barnhart, C. (2014). Comparing optimal relocation operations with simulated relocation policies in one-way carsharing systems. IEEE Transactions on Intelligent Transportation Systems, 15(4), 1667-1675. doi: https://doi.org/10.1109/TITS.2014.2304358
  • Jorge, D., Molnar, G., & de Almeida Correia, G. H. (2015). Trip pricing of one-way station-based carsharing networks with zone and time of day price variations. Transportation Research Part B: Methodological, 81, 461-482. doi: https://doi.org/10.1016/j.trb.2015.06.003
  • Kim, J., Rasouli, S., & Timmermans, H. (2017). Satisfaction and uncertainty in car-sharing decisions: An integration of hybrid choice and random regret-based models. Transportation Research Part A: Policy and Practice, 95, 13-33. doi: https://doi.org/10.1016/j.tra.2016.11.005
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There are 62 citations in total.

Details

Primary Language Turkish
Subjects Industrial Engineering
Journal Section Literature Review
Authors

İpek Damla Akpınar 0000-0001-8977-9521

Barış Keçeci 0000-0002-2730-5993

Publication Date June 30, 2023
Submission Date October 21, 2022
Acceptance Date March 24, 2023
Published in Issue Year 2023 Volume: 7 Issue: 1

Cite

APA Akpınar, İ. D., & Keçeci, B. (2023). A Literature Review on Potential Decision Problems for Vehicle Sharing Systems. Journal of Turkish Operations Management, 7(1), 1513-1530.
AMA Akpınar İD, Keçeci B. A Literature Review on Potential Decision Problems for Vehicle Sharing Systems. JTOM. June 2023;7(1):1513-1530.
Chicago Akpınar, İpek Damla, and Barış Keçeci. “A Literature Review on Potential Decision Problems for Vehicle Sharing Systems”. Journal of Turkish Operations Management 7, no. 1 (June 2023): 1513-30.
EndNote Akpınar İD, Keçeci B (June 1, 2023) A Literature Review on Potential Decision Problems for Vehicle Sharing Systems. Journal of Turkish Operations Management 7 1 1513–1530.
IEEE İ. D. Akpınar and B. Keçeci, “A Literature Review on Potential Decision Problems for Vehicle Sharing Systems”, JTOM, vol. 7, no. 1, pp. 1513–1530, 2023.
ISNAD Akpınar, İpek Damla - Keçeci, Barış. “A Literature Review on Potential Decision Problems for Vehicle Sharing Systems”. Journal of Turkish Operations Management 7/1 (June 2023), 1513-1530.
JAMA Akpınar İD, Keçeci B. A Literature Review on Potential Decision Problems for Vehicle Sharing Systems. JTOM. 2023;7:1513–1530.
MLA Akpınar, İpek Damla and Barış Keçeci. “A Literature Review on Potential Decision Problems for Vehicle Sharing Systems”. Journal of Turkish Operations Management, vol. 7, no. 1, 2023, pp. 1513-30.
Vancouver Akpınar İD, Keçeci B. A Literature Review on Potential Decision Problems for Vehicle Sharing Systems. JTOM. 2023;7(1):1513-30.

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