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Shared Autonomous Vehicles Competing with Shared Electric Bicycles: A Stated-Preference Analysis

Author

Listed:
  • Sungwon Lee

    (Transportation ICT Convergence Research Center, Korea National University of Transportation, Chungju 27469, Korea)

  • Devon Farmer

    (Transportation ICT Convergence Research Center, Korea National University of Transportation, Chungju 27469, Korea)

  • Jooyoung Kim

    (Department of Transportation Planning & Management, Korea National University of Transportation, Uiwang 16106, Korea)

  • Hyun Kim

    (Transportation ICT Convergence Research Center, Korea National University of Transportation, Chungju 27469, Korea)

Abstract

Understanding the factors that affect the uptake of emerging transport modes is critical for understanding if and how they will be used once they are implemented. In this study, we undertook a stated-preference analysis to understand the factors that affect the use of shared autonomous vehicles and shared personal mobility (micromobility) as competing modes on a university campus in Korea. We applied a binary logit model, which included time and cost variables as well as the perceptions of convenience (in-car congestion and availability) and safety. For autonomous vehicles, the cost- and time-related demand elasticities were estimated to be −0.45 and −0.25, respectively, while the cost elasticity for shared electric bicycles was −0.42. The elasticities of perceived convenience (availability) and safety for the shared electric bicycle system were estimated to be 0.72 and 0.29, respectively. Finally, the elasticity for perceived convenience (in-car congestion) of the shared autonomous vehicle was 0.42. Our results show that there is an innate preference for shared autonomous vehicles when these are compared to shared personal mobility, and that the effect of subjective variables (convenience and safety) on the use of emerging transport modes is as important as traditional cost and time variables.

Suggested Citation

  • Sungwon Lee & Devon Farmer & Jooyoung Kim & Hyun Kim, 2022. "Shared Autonomous Vehicles Competing with Shared Electric Bicycles: A Stated-Preference Analysis," Sustainability, MDPI, vol. 14(21), pages 1-19, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14319-:d:960930
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    1. Calin Iclodean & Nicolae Cordos & Bogdan Ovidiu Varga, 2020. "Autonomous Shuttle Bus for Public Transportation: A Review," Energies, MDPI, vol. 13(11), pages 1-45, June.
    2. Jun Li & Jiachao Shen & Bicen Jia, 2021. "Exploring Intention to Use Shared Electric Bicycles by the Extended Theory of Planned Behavior," Sustainability, MDPI, vol. 13(8), pages 1-13, April.
    3. Shen, Yu & Zhang, Hongmou & Zhao, Jinhua, 2018. "Integrating shared autonomous vehicle in public transportation system: A supply-side simulation of the first-mile service in Singapore," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 125-136.
    4. Xiaoxia Dong & Matthew DiScenna & Erick Guerra, 2019. "Transit user perceptions of driverless buses," Transportation, Springer, vol. 46(1), pages 35-50, February.
    5. Bansal, Prateek & Kockelman, Kara M., 2017. "Forecasting Americans’ long-term adoption of connected and autonomous vehicle technologies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 49-63.
    6. Correia, Gonçalo Homem de Almeida & Looff, Erwin & van Cranenburgh, Sander & Snelder, Maaike & van Arem, Bart, 2019. "On the impact of vehicle automation on the value of travel time while performing work and leisure activities in a car: Theoretical insights and results from a stated preference survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 359-382.
    7. Frauke Behrendt & Sally Cairns & David Raffo & Ian Philips, 2021. "Impact of E-Bikes on Cycling in Hilly Areas: Participants’ Experience of Electrically-Assisted Cycling in a UK Study," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    8. Tilahun, Nebiyou Y. & Levinson, David M. & Krizek, Kevin J., 2007. "Trails, lanes, or traffic: Valuing bicycle facilities with an adaptive stated preference survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(4), pages 287-301, May.
    9. Shaheen, Susan PhD & Chan, Nelson, 2016. "Mobility and the Sharing Economy: Potential to Overcome First- and Last-Mile Public Transit Connections," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8042k3d7, Institute of Transportation Studies, UC Berkeley.
    10. Wang, Shenhao & Zhao, Jinhua, 2019. "Risk preference and adoption of autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 215-229.
    11. Peng Jing & Gang Xu & Yuexia Chen & Yuji Shi & Fengping Zhan, 2020. "The Determinants behind the Acceptance of Autonomous Vehicles: A Systematic Review," Sustainability, MDPI, vol. 12(5), pages 1-26, February.
    12. Neeraj Saxena & Taha Rashidi & David Rey, 2020. "Determining the Market Uptake of Demand Responsive Transport Enabled Public Transport Service," Sustainability, MDPI, vol. 12(12), pages 1-18, June.
    13. Médard de Chardon, Cyrille, 2019. "The contradictions of bike-share benefits, purposes and outcomes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 401-419.
    14. Yap, Menno D. & Correia, Gonçalo & van Arem, Bart, 2016. "Preferences of travellers for using automated vehicles as last mile public transport of multimodal train trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 1-16.
    15. Liang, Xiao & Correia, Gonçalo Homem de Almeida & van Arem, Bart, 2016. "Optimizing the service area and trip selection of an electric automated taxi system used for the last mile of train trips," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 115-129.
    16. Geoffrey Rose, 2012. "E-bikes and urban transportation: emerging issues and unresolved questions," Transportation, Springer, vol. 39(1), pages 81-96, January.
    17. Mulley, Corinne & Ho, Chinh & Ho, Loan & Hensher, David & Rose, John, 2018. "Will bus travellers walk further for a more frequent service? An international study using a stated preference approach," Transport Policy, Elsevier, vol. 69(C), pages 88-97.
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