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Are We Ready to Ride Autonomous Vehicles? A Pilot Study on Austrian Consumers’ Perspective

Author

Listed:
  • Sophie Wintersberger

    (Institute for Transport and Logistics Management, WU (Vienna University of Economics and Business), Welthandelsplatz 1, 1020 Vienna, Austria)

  • Muhammad Azmat

    (Institute for Transport and Logistics Management, WU (Vienna University of Economics and Business), Welthandelsplatz 1, 1020 Vienna, Austria)

  • Sebastian Kummer

    (Institute for Transport and Logistics Management, WU (Vienna University of Economics and Business), Welthandelsplatz 1, 1020 Vienna, Austria)

Abstract

Automotive manufacturers are competing to be the first to introduce customer-ready autonomous vehicles. Some manufacturers are claiming to launch their first self-driving cars as early as 2020. Which all sounds very good and futuristic; however, the question arises, are customers even ready to adopt this new technological advancement? Therefore, this pilot study is aimed at finding out the answer to this question in the Austrian market. This study discovers the standpoint of Austrian consumers concerning the acceptance of self-driving cars for daily usage and gives an overview of the current point of view regarding autonomous vehicles (AVs). The data for this study was collected using an online, user-friendly, Likert scale survey. The collected data were processed and analyzed for empirical significance in SPSS using Spearman’s rank correlation and the Mann–Whitney U test supported by descriptive analysis. The results of the study indicate that Austrian consumers are well aware of autonomous vehicles and their technology. However, they have specific concerns about reliability, cybersecurity, and futuristic car-sharing models. Therefore, these concerns about AVs should be addressed by auto manufactures in order to gain consumers’ trust and sell them a new form of mobility.

Suggested Citation

  • Sophie Wintersberger & Muhammad Azmat & Sebastian Kummer, 2019. "Are We Ready to Ride Autonomous Vehicles? A Pilot Study on Austrian Consumers’ Perspective," Logistics, MDPI, vol. 3(4), pages 1-20, September.
  • Handle: RePEc:gam:jlogis:v:3:y:2019:i:4:p:20-:d:269208
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    References listed on IDEAS

    as
    1. Muhammad Azmat & Sebastian Kummer & Lara Trigueiro Moura & Federico Di Gennaro & Rene Moser, 2019. "Future Outlook of Highway Operations with Implementation of Innovative Technologies Like AV, CV, IoT and Big Data," Logistics, MDPI, vol. 3(2), pages 1-20, June.
    2. Rivera, Liliana & Sheffi, Yossi & Welsch, Roy, 2014. "Logistics agglomeration in the US," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 222-238.
    3. Hohenberger, Christoph & Spörrle, Matthias & Welpe, Isabell M., 2016. "How and why do men and women differ in their willingness to use automated cars? The influence of emotions across different age groups," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 374-385.
    4. Yingxu Wang & Jun Peng, 2017. "Big Data Analytics: A Cognitive Perspectives," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global, vol. 11(2), pages 41-56, April.
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    Cited by:

    1. Evelyne Tina Kassai & Muhammad Azmat & Sebastian Kummer, 2020. "Scope of Using Autonomous Trucks and Lorries for Parcel Deliveries in Urban Settings," Logistics, MDPI, vol. 4(3), pages 1-25, August.
    2. Taha Benarbia & Kyandoghere Kyamakya & Fadi Al Machot & Witesyavwirwa Vianney Kambale, 2023. "Modeling and Simulation of Shared Electric Automated and Connected Mobility Systems with Autonomous Repositioning: Performance Evaluation and Deployment," Sustainability, MDPI, vol. 15(1), pages 1-23, January.
    3. Genta Miyama & Masakatsu Fukumoto & Ritsuko Kamegaya & Masahito Hitosugi, 2020. "Risk Factors for Collisions and Near-Miss Incidents Caused by Drowsy Bus Drivers," IJERPH, MDPI, vol. 17(12), pages 1-11, June.
    4. Christoph A Thieme & Børge Rokseth & Ingrid B Utne, 2023. "Risk-informed control systems for improved operational performance and decision-making," Journal of Risk and Reliability, , vol. 237(2), pages 332-354, April.

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