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Travel Demand Increment Due to the Use of Autonomous Vehicles

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  • Dilshad Mohammed

    (Department of Civil Engineering, University of Duhok, Duhok 42001, Iraq
    Department of Transport, Széchenyi István University, 9026 Győr, Hungary
    These authors contributed equally to this work.)

  • Balázs Horváth

    (Department of Transport, Széchenyi István University, 9026 Győr, Hungary
    These authors contributed equally to this work.)

Abstract

Advanced technology available in promising fully autonomous vehicles (AVs) will encourage people to travel more than they have up to now using their regular vehicles. It is believed that the disadvantages of manually driven vehicles, such as driving fatigue, stressful feelings, aging physical skills deterioration, and other unwanted effects, will vanish once AVs are employed. For this purpose, this study presents the results of a large questionnaire performed in Győr, Hungary, about the public perception and acceptance of AVs. In addition, assessing the impact of using such technology on increasing travel demand when people can alter their mode of transport to an AV. The study demonstrates that respondents’ prior knowledge of AVs plays a crucial role in generating a greater number of trips when they are able to use AVs. Furthermore, it has also been found that providing further awareness and education to the population about the meaning of the term autonomous vehicles and widening their insights about the new features provided by these vehicles will result in a higher number of trips. Eventually, this information will act as a considerable indicator to provide a prior understanding of the possible challenges that may impact the sustainability of future transport systems.

Suggested Citation

  • Dilshad Mohammed & Balázs Horváth, 2023. "Travel Demand Increment Due to the Use of Autonomous Vehicles," Sustainability, MDPI, vol. 15(11), pages 1-20, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8937-:d:1161859
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    References listed on IDEAS

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    1. Monika Pröbster & Nicola Marsden, 2023. "The Social Perception of Autonomous Delivery Vehicles Based on the Stereotype Content Model," Sustainability, MDPI, vol. 15(6), pages 1-28, March.
    2. Esko Lehtonen & Johanna Wörle & Fanny Malin & Barbara Metz & Satu Innamaa, 2022. "Travel experience matters: Expected personal mobility impacts after simulated L3/L4 automated driving," Transportation, Springer, vol. 49(5), pages 1295-1314, October.
    3. Wadud, Zia & MacKenzie, Don & Leiby, Paul, 2016. "Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 1-18.
    4. Perrine, Kenneth A. & Kockelman, Kara M. & Huang, Yantao, 2020. "Anticipating long-distance travel shifts due to self-driving vehicles," Journal of Transport Geography, Elsevier, vol. 82(C).
    5. Bijoy Saha & Mahmudur Rahman Fatmi, 2021. "Simulating the Impacts of Hybrid Campus and Autonomous Electric Vehicles as GHG Mitigation Strategies: A Case Study for a Mid-Size Canadian Post-Secondary School," Sustainability, MDPI, vol. 13(22), pages 1-14, November.
    6. Jamil Hamadneh & Domokos Esztergár-Kiss, 2021. "The Influence of Introducing Autonomous Vehicles on Conventional Transport Modes and Travel Time," Energies, MDPI, vol. 14(14), pages 1-28, July.
    7. Long T. Truong & Chris Gruyter & Graham Currie & Alexa Delbosc, 2017. "Estimating the trip generation impacts of autonomous vehicles on car travel in Victoria, Australia," Transportation, Springer, vol. 44(6), pages 1279-1292, November.
    8. Hussain, Qinaat & Alhajyaseen, Wael K.M. & Adnan, Muhammad & Almallah, Mustafa & Almukdad, Abdulkarim & Alqaradawi, Mohammed, 2021. "Autonomous vehicles between anticipation and apprehension: Investigations through safety and security perceptions," Transport Policy, Elsevier, vol. 110(C), pages 440-451.
    9. Mustapha Harb & Yu Xiao & Giovanni Circella & Patricia L. Mokhtarian & Joan L. Walker, 2018. "Projecting travelers into a world of self-driving vehicles: estimating travel behavior implications via a naturalistic experiment," Transportation, Springer, vol. 45(6), pages 1671-1685, November.
    10. Rubén Cordera & Soledad Nogués & Esther González-González & José Luis Moura, 2021. "Modeling the Impacts of Autonomous Vehicles on Land Use Using a LUTI Model," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    11. Huiqian Sun & Peng Jing & Mengxuan Zhao & Yuexia Chen & Fengping Zhan & Yuji Shi, 2020. "Research on the Mode Choice Intention of the Elderly for Autonomous Vehicles Based on the Extended Ecological Model," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
    12. Arentze, Theo A. & Molin, Eric J.E., 2013. "Travelers’ preferences in multimodal networks: Design and results of a comprehensive series of choice experiments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 58(C), pages 15-28.
    13. Zakharenko, Roman, 2016. "Self-driving cars will change cities," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 26-37.
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