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Factors of successful implementation and diffusion of services based on autonomous vehicles: users’ acceptance and operators’ profitability

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  • Berrada, Jaâfar
  • Mouhoubi, Ilyes
  • Christoforou, Zoi

Abstract

The use of autonomous vehicles (AVs) is becoming more and more likely as they offer promising solutions to improve urban mobility. They have the potential to reduce energy consumption and traffic jams. As a result, they could replace a significant part of other modes of transport and provide more dynamic services to users. This paper examines the level of receptiveness of AVs while considering their adoption time, user attitudes, and their intention to share AV-trips. We explore the results of a stated-preferences survey, conducted among 600 people in Palaiseau, a city south of Paris. Collected data is analyzed using a reduced dimensional space that is dedicated to the field of multifactorial analysis (MFA) in order to apply a hierarchical cluster analysis (HCA) and to segment the surveyed population. Five classes were identified on the basis of (i) socio-demographic criteria of the respondents; (ii) their mobility habits; and (iii) how they use AV cars. The classes were entitled: Conservatives (22% of the sample), Sceptics (14%), Late adopters (21%), Early Adopters (25%) and Explorers (18%). The results of an economic analysis indicate the implications for operators and public policies designed to encourage optimal forms of adoption in terms of fare and level of service.

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  • Berrada, Jaâfar & Mouhoubi, Ilyes & Christoforou, Zoi, 2020. "Factors of successful implementation and diffusion of services based on autonomous vehicles: users’ acceptance and operators’ profitability," Research in Transportation Economics, Elsevier, vol. 83(C).
    • Handle: RePEc:eee:retrec:v:83:y:2020:i:c:s0739885920301001
    DOI: 10.1016/j.retrec.2020.100902
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    Cited by:

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    3. Maeng, Kyuho & Jeon, Seung Ryong & Park, Taeho & Cho, Youngsang, 2021. "Network effects of connected and autonomous vehicles in South Korea: A consumer preference approach," Research in Transportation Economics, Elsevier, vol. 90(C).
    4. Charli Sitinjak & Zurinah Tahir & Mohd Ekhwan Toriman & Novel Lyndon & Vladimir Simic & Charles Musselwhite & Wiyanti Fransisca Simanullang & Firdaus Mohamad Hamzah, 2023. "Assessing Public Acceptance of Autonomous Vehicles for Smart and Sustainable Public Transportation in Urban Areas: A Case Study of Jakarta, Indonesia," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    5. Berrada, Jaâfar & Poulhès, Alexis, 2021. "Economic and socioeconomic assessment of replacing conventional public transit with demand responsive transit services in low-to-medium density areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 317-334.
    6. Liliana Andrei & Mihaela Hermina Negulescu & Oana Luca, 2022. "Premises for the Future Deployment of Automated and Connected Transport in Romania Considering Citizens’ Perceptions and Attitudes towards Automated Vehicles," Energies, MDPI, vol. 15(5), pages 1-23, February.
    7. Roberto Battistini & Luca Mantecchini & Maria Nadia Postorino, 2020. "Users’ Acceptance of Connected and Automated Shuttles for Tourism Purposes: A Survey Study," Sustainability, MDPI, vol. 12(23), pages 1-17, December.
    8. Alonso Raposo, María & Grosso, Monica & Mourtzouchou, Andromachi & Krause, Jette & Duboz, Amandine & Ciuffo, Biagio, 2022. "Economic implications of a connected and automated mobility in Europe," Research in Transportation Economics, Elsevier, vol. 92(C).

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    More about this item

    Keywords

    Users' acceptance; Stated-preference survey; Autonomous shuttles; Clustering analysis; Business models; Service performances;
    All these keywords.

    JEL classification:

    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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