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Usage Intention of Shared Autonomous Vehicles with Dynamic Ride Sharing on Long-Distance Trips

Author

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  • Mohammadhossein Abbasi

    (Faculty of Civil and Environmental Engineering, Tarbiat Modares University, Tehran 14115-111, Iran)

  • Amir Reza Mamdoohi

    (Faculty of Civil and Environmental Engineering, Tarbiat Modares University, Tehran 14115-111, Iran)

  • Grzegorz Sierpiński

    (Department of Transport Systems, Traffic Engineering and Logistics, Faculty of Transport and Aviation Engineering, Silesian University of Technology, 44-100 Gliwice, Poland)

  • Francesco Ciari

    (Department of Civil, Geological and Mining Engineering, Polytechnique Montréal, Montreal, QC H3T 1J4, Canada)

Abstract

Technology advancements have paved the way for public access to shared autonomous vehicles (SAVs), but there is still no travel survey examining how SAVs with dynamic ride sharing (DRS) affect long-distance (LD) trips. Given the growth in these trips and the higher importance of travel time and cost on LD trips, assessing potential impacts of SAVs could be a vital tool in planning for a sustainable transportation system. This paper examines the impact of various attitudinal, sociodemographic, and travel-related characteristics on the usage intention of SAVs with DRS on LD trips. We have designed and conducted a web-based survey for this purpose and based on a representative sample of 723 individuals in 2021, a Generalized Ordered Logit model is estimated. Estimation results highlight the key importance of following psychological factors in a descending order: price evaluation, perceived usefulness, consumer innovativeness, sharing attitude, and privacy concern. Further, key factors among sociodemographic and travel-related characteristics are gender, education level, driving license, household car ownership, generational element, and crash history. These findings provide crucial insights into the likely effects of SAVs with DRS on LD trip behavior, based on which a number of practical implications are proposed for facilitating policy-making.

Suggested Citation

  • Mohammadhossein Abbasi & Amir Reza Mamdoohi & Grzegorz Sierpiński & Francesco Ciari, 2023. "Usage Intention of Shared Autonomous Vehicles with Dynamic Ride Sharing on Long-Distance Trips," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1649-:d:1035930
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    References listed on IDEAS

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    1. Wei Luo & Silong Wei & Yi Wang & Pengpeng Jiao, 2023. "People’s Intentions to Use Shared Autonomous Vehicles: An Extended Theory of Planned Behavior Model," Sustainability, MDPI, vol. 15(16), pages 1-17, August.

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