Journals / Journal of Turkish Operations Management / 2023 / Cilt: 7 Sayı: 1

A Literature Review on Potential Decision Problems for Vehicle Sharing Systems

Pages
1513–1530
Publication Date
2023-06-30
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This study aims to provide the researchers with a general perspective on the topic by examining the studies on VSS.

📌 3 Key Takeaways

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Objective & Hypothesis:Vehicle Sharing (VS) is a car rental model where people rent vehicles for short periods, usually hourly.
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Key Findings & Data: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.
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Conclusion & Impact:This study aims to provide the researchers with a general perspective on the topic by examining the studies on VSS.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Vehicle sharing systems · Classification · Configuration

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.

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Cite This Article

AKPINAR, İ. D., KEÇECİ, B. (2023). A Literature Review on Potential Decision Problems for Vehicle Sharing Systems. Journal of Turkish Operations Management, Cilt: 7 Sayı: 1, 1513–1530. https://ajindex.com/articles/952532

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References (10)

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. Boyacı, B., Zografos, K. G., & Geroliminis, N. (2015). An optimization framework for the development of efficient one-way car-