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Application of Autonomous Transportation Systems: Detection of a Potential Sub-Leasing Type of Carsharing

Author

Listed:
  • Lide Yang

    (Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 200092, China)

  • Jiemin Xie

    (School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou 510275, China)

  • Tuo Sun

    (Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 200092, China)

  • Junxian Wu

    (Anting Shanghai International Automobile City, Shanghai 215332, China)

  • Jinquan Hou

    (Gansu New Lugang Technology Co., Ltd., Gansu Highway Traffic Construction Group Co., Ltd., Lanzhou 730050, China)

  • Shuangjian Yang

    (China Electric Vehicle Association, Shanghai 200051, China)

Abstract

Carsharing is regarded as an efficient way to reduce parking difficulty and road congestion, and the sub-leasing type of round-trip carsharing is an innovative way to enhance the efficiency of carsharing. Meanwhile, with the help of sub-leasing, the turnover rate of a parking lot increases, and the parking operator can earn a certain profit when the parking lot acts as a sub-leasing station. This study aims at extending the application of sub-leasing carsharing by suggesting an integrated framework of parking and sub-leasing based on the concept of autonomous transportation systems (ATSs), which are believed to be able to correctly sense demand, give proper reactions, and reduce operator workloads. A detection approach based on this ATS-based integrated framework is proposed to identify potential sub-leasing customers from the parking users, which is the main contribution of this study. Furthermore, this detection approach was tested using Shenyang parking data, and the parking lots with the greatest potential were analyzed in detail. The results show that 48.4% of parking activities had the potential to be transformed into sub-leasing activities. Of these potential activities, 52.7% were made by people who used a monthly payment scheme, and the promotion of sub-leasing should focus on these people.

Suggested Citation

  • Lide Yang & Jiemin Xie & Tuo Sun & Junxian Wu & Jinquan Hou & Shuangjian Yang, 2023. "Application of Autonomous Transportation Systems: Detection of a Potential Sub-Leasing Type of Carsharing," Sustainability, MDPI, vol. 15(19), pages 1-20, September.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14220-:d:1248021
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    References listed on IDEAS

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    1. Anderson, Simon P. & de Palma, Andre, 2004. "The economics of pricing parking," Journal of Urban Economics, Elsevier, vol. 55(1), pages 1-20, January.
    2. Philipp Ströhle & Christoph M. Flath & Johannes Gärttner, 2019. "Leveraging Customer Flexibility for Car-Sharing Fleet Optimization," Service Science, INFORMS, vol. 53(1), pages 42-61, February.
    3. Zong, Fang & Yu, Ping & Tang, Jinjun & Sun, Xiao, 2019. "Understanding parking decisions with structural equation modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 408-417.
    4. Namazu, Michiko & Dowlatabadi, Hadi, 2018. "Vehicle ownership reduction: A comparison of one-way and two-way carsharing systems," Transport Policy, Elsevier, vol. 64(C), pages 38-50.
    5. Jian, Sisi & Liu, Wei & Wang, Xiaolei & Yang, Hai & Waller, S. Travis, 2020. "On integrating carsharing and parking sharing services," Transportation Research Part B: Methodological, Elsevier, vol. 142(C), pages 19-44.
    6. Boyacı, Burak & Zografos, Konstantinos G., 2019. "Investigating the effect of temporal and spatial flexibility on the performance of one-way electric carsharing systems," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 244-272.
    7. Jingwei Xue & Jiaqing Wang & Jiyang Yi & Yang Wei & Kaijian Huang & Daming Ge & Ruiyu Sun, 2023. "Optimal Parking Path Planning and Parking Space Selection Based on the Entropy Power Method and Bayesian Network: A Case Study in an Indoor Parking Lot," Sustainability, MDPI, vol. 15(11), pages 1-25, May.
    8. Rongqin Lu, 2022. "Joint Optimization of Allocations and Relocations in One-Way Carsharing Systems with Two Operators," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
    9. Giulio Giorgione & Francesco Ciari & Francesco Viti, 2020. "Dynamic Pricing on Round-Trip Carsharing Services: Travel Behavior and Equity Impact Analysis through an Agent-Based Simulation," Sustainability, MDPI, vol. 12(17), pages 1-23, August.
    10. Sowmya Karri & Meera M. Dhabu, 2022. "Multistage Game Model Based Dynamic Pricing for Car Parking Slot to Control Congestion," Sustainability, MDPI, vol. 14(19), pages 1-15, September.
    11. Firnkorn, Jörg, 2012. "Triangulation of two methods measuring the impacts of a free-floating carsharing system in Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1654-1672.
    12. Illgen, Stefan & Höck, Michael, 2019. "Literature review of the vehicle relocation problem in one-way car sharing networks," Transportation Research Part B: Methodological, Elsevier, vol. 120(C), pages 193-204.
    13. Yunqiang Xue & Qifang Kong & Feng Sun & Meng Zhong & Haokai Tu & Caifeng Tan & Hongzhi Guan, 2022. "Shared Parking Decision Behavior of Parking Space Owners and Car Travelers Based on Prospect Theory—A Case Study of Nanchang City, China," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
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