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Automated vehicles and behavioural adaptation in Canada

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  • Robertson, Robyn D.
  • Meister, Shawna R.
  • Vanlaar, Ward G.M.
  • Mainegra Hing, Marisela

Abstract

The current tests of automated vehicles (AVs) with human back-up drivers and opt-into a self-driving car raise important questions regarding public awareness of the limitations of these vehicles. Road safety can be greatly improved by focusing on the often-overlooked intersection between driver behaviour and the use of new technologies. This paper presents the extent to which Canadian drivers self-reported how they would adapt their behaviour if using limited self-driving vehicles (LSDVs). An online survey and focus groups were conducted to explore the knowledge, attitudes, perceptions and behaviours of Canadians in relation to AVs. It was found that many drivers believed they would not need to pay attention to the road environment when using LSDVs, and that some of them would modify or adapt their behaviour in negative ways that would undermine safety objectives. These results provide insight useful to shape educational strategies, government policies, and tactics to help ensure the safety benefits that are highly expected of AVs actually materialize.

Suggested Citation

  • Robertson, Robyn D. & Meister, Shawna R. & Vanlaar, Ward G.M. & Mainegra Hing, Marisela, 2017. "Automated vehicles and behavioural adaptation in Canada," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 50-57.
    • Handle: RePEc:eee:transa:v:104:y:2017:i:c:p:50-57
    DOI: 10.1016/j.tra.2017.08.005
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    References listed on IDEAS

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    1. Fagnant, Daniel J. & Kockelman, Kara, 2015. "Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 167-181.
    2. F. Pica, 2016. "Public Finance, «Federalism» and Southern Italy," Rivista economica del Mezzogiorno, Società editrice il Mulino, issue 1, pages 5-44.
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    Citations

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    Cited by:

    1. Yaxi Han & Tao Wang & Dong Shi & Xiaofei Ye & Quan Yuan, 2023. "The Effect of Multifactor Interaction on the Quality of Human–Machine Co-Driving Vehicle Take-Over," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    2. Kishore Bhoopalam, A. & van den Berg, R. & Agatz, N.A.H. & Chorus, C.G., 2021. "The long road to automated trucking: Insights from driver focus groups," ERIM Report Series Research in Management ERS-2021-003-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. Sharma, Ishant & Mishra, Sabyasachee, 2022. "Quantifying the consumer’s dependence on different information sources on acceptance of autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 179-203.
    4. Mishra, Sabyasachee & Sharma, Ishant & Pani, Agnivesh, 2023. "Analyzing autonomous delivery acceptance in food deserts based on shopping travel patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    5. Wang, Song & Li, Zhixia & Wang, Yi & Aaron Wyatt, Daniel, 2022. "How do age and gender influence the acceptance of automated vehicles? – Revealing the hidden mediating effects from the built environment and personal factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 376-394.
    6. Liu, Peng & Xu, Zhigang & Zhao, Xiangmo, 2019. "Road tests of self-driving vehicles: Affective and cognitive pathways in acceptance formation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 354-369.
    7. Marletto, Gerardo, 2019. "Who will drive the transition to self-driving? A socio-technical analysis of the future impact of automated vehicles," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 221-234.
    8. Li, Shunxi & Sui, Pang-Chieh & Xiao, Jinsheng & Chahine, Richard, 2019. "Policy formulation for highly automated vehicles: Emerging importance, research frontiers and insights," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 573-586.
    9. Ishant Sharma & Sabyasachee Mishra, 2023. "Ranking preferences towards adopting autonomous vehicles based on peer inputs and advertisements," Transportation, Springer, vol. 50(6), pages 2139-2192, December.
    10. Peng Jing & Gang Xu & Yuexia Chen & Yuji Shi & Fengping Zhan, 2020. "The Determinants behind the Acceptance of Autonomous Vehicles: A Systematic Review," Sustainability, MDPI, vol. 12(5), pages 1-26, February.

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