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Carsharing: the impact of system characteristics on its potential to replace private car trips and reduce car ownership

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Listed:
  • Fanchao Liao

    (Delft University of Technology)

  • Eric Molin

    (Delft University of Technology)

  • Harry Timmermans

    (Eindhoven University of Technology)

  • Bert van Wee

    (Delft University of Technology)

Abstract

This paper aims to explore the potential of carsharing in replacing private car trips and reducing car ownership and how this is affected by its attributes. To that affect, a stated choice experiment is conducted and the data are analyzed by latent class models in order to incorporate preference heterogeneity. The results show that around 40% of car drivers indicated that they are willing to replace some of their private car trips by carsharing, and 20% indicated that they may forego a planned purchase or shed a current car if carsharing becomes available near to them. The results further suggest that people vary significantly with respect to these two stated intentions, and that a higher intention of trip replacement does not necessarily correspond to higher intention of reducing car ownership. Our results also imply that changing the system attributes does not have a substantial impact on people’s intention, which suggests that the decision to use carsharing are mainly determined by other factors. Furthermore, deploying electric vehicles in carsharing fleet is preferred to fossil-fuel cars by some segments of the population, while it has no negative impact for other segments.

Suggested Citation

  • Fanchao Liao & Eric Molin & Harry Timmermans & Bert van Wee, 2020. "Carsharing: the impact of system characteristics on its potential to replace private car trips and reduce car ownership," Transportation, Springer, vol. 47(2), pages 935-970, April.
    • Handle: RePEc:kap:transp:v:47:y:2020:i:2:d:10.1007_s11116-018-9929-9
    DOI: 10.1007/s11116-018-9929-9
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    5. Ye, Jianhong & Wang, Daoge & Li, Xi & Axhausen, Kay W. & Jin, Yong, 2021. "Assessing one-way carsharing’s impacts on vehicle ownership: Evidence from Shanghai with an international comparison," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 16-32.
    6. Ana Belén Rodríguez González & Mark Richard Wilby & Juan José Vinagre Díaz & Rubén Fernández Pozo & Carmen Sánchez Ávila, 2023. "Utilization rate of the fleet: a novel performance metric for a novel shared mobility," Transportation, Springer, vol. 50(1), pages 285-301, February.
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    9. Mühlematter, Dominik J. & Wiedemann, Nina & Xin, Yanan & Raubal, Martin, 2024. "Spatially-aware station based car-sharing demand prediction," Journal of Transport Geography, Elsevier, vol. 114(C).
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    12. Aguilera-García, Álvaro & Gomez, Juan & Antoniou, Constantinos & Vassallo, José Manuel, 2022. "Behavioral factors impacting adoption and frequency of use of carsharing: A tale of two European cities," Transport Policy, Elsevier, vol. 123(C), pages 55-72.
    13. Iman Farzin & Mohammadhossein Abbasi & Elżbieta Macioszek & Amir Reza Mamdoohi & Francesco Ciari, 2022. "Moving toward a More Sustainable Autonomous Mobility, Case of Heterogeneity in Preferences," Sustainability, MDPI, vol. 15(1), pages 1-16, December.
    14. Al-Garawi, Najah & Kamargianni, Maria, 2021. "Women's modal switching behavior since driving is allowed in Saudi Arabia," Journal of Transport Geography, Elsevier, vol. 96(C).
    15. Ogata, Ryuto & Schmöcker, Jan-Dirk & Nakamura, Toshiyuki & Kuwahara, Masahiro, 2022. "On the potential of carsharing to attract regular trips of private car and public transport users in metropolitan areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 386-404.
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