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Impact of risk perception and trust in autonomous vehicles on pedestrian crossing decision: Navigating the social-technological intersection with the ICLV model

Author

Listed:
  • Feng, Zhongxiang
  • Gao, Ya
  • Zhu, Dianchen
  • Chan, Ho-Yin
  • Zhao, Mingming
  • Xue, Rui

Abstract

In the rapidly evolving realm of transportation technology, the dynamic relationship between pedestrians and technological innovations has attained unprecedented importance. The complex social-technological intersection surrounding pedestrian road crossings has emerged as an attention for traffic safety. What distinguishes the contemporary urban environment is the rapid assimilation of intelligent transportation systems (ITS) into the transportation infrastructure, including technological elements such as autonomous vehicles, advanced surveillance systems, and smart infrastructure. To investigate how pedestrians perceive risks, trust technology, and make decisions in this era of technological progress, we designed a video-based questionnaire utilizing the stated preference (SP) methodology. We collected SP data from 589 Chinese pedestrians and employed an integrated choice and latent variable (ICLV) model to quantify the influence of risk perception and trust in autonomous vehicle (trust in AV), treated as latent variables, on their crossing decisions. Our findings indicate that the presence of autonomous vehicles significantly affects pedestrian crossing decisions. Specifically, an increase in the approaching vehicle speed and a decrease in the approaching vehicle distance increase the pedestrians’ tendency to choose not to cross the road, and the latent variables of risk perception and trust in AV strongly predict this phenomenon. The results of the scenario analysis show that, compared with overall pedestrians, middle-aged pedestrians and high-risk perception-level pedestrians are more conservative in their crossing decisions, but high levels of trust in AV improve pedestrians’ willingness to cross the street. Additionally, the pedestrian-related findings of this study at the social-technological intersection provide better understanding of the decision process and contribute to the planning and development of urban intelligent transportation systems.

Suggested Citation

  • Feng, Zhongxiang & Gao, Ya & Zhu, Dianchen & Chan, Ho-Yin & Zhao, Mingming & Xue, Rui, 2024. "Impact of risk perception and trust in autonomous vehicles on pedestrian crossing decision: Navigating the social-technological intersection with the ICLV model," Transport Policy, Elsevier, vol. 152(C), pages 71-86.
    • Handle: RePEc:eee:trapol:v:152:y:2024:i:c:p:71-86
    DOI: 10.1016/j.tranpol.2024.05.001
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    as
    1. Banerjee, Arunabha & Das, Sanhita & Maurya, Akhilesh Kumar, 2024. "Behavioural characteristics influencing walking speed of pedestrians over elevated facilities: A case study of India," Transport Policy, Elsevier, vol. 147(C), pages 169-182.
    2. Zhu, Dianchen & Sze, N.N. & Feng, Zhongxiang & Chan, Ho-Yin, 2023. "Waiting for signalized crossing or walking to footbridge/underpass? Examining the effect of weather using stated choice experiment with panel mixed random regret minimization approach," Transport Policy, Elsevier, vol. 138(C), pages 144-169.
    3. Zhang, Jietao & Tu, Yan & Liu, Jun & Liu, Liyi & Li, Zongmin, 2022. "Regional public transportation safety risk grading assessment under time dimension: A case study of Chinese mainland," Transport Policy, Elsevier, vol. 126(C), pages 343-354.
    4. Esztergár-Kiss, Domokos & Tordai, Dániel & Lopez Lizarraga, Julio C., 2022. "Assessment of travel behavior related to e-scooters using a stated preference experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 389-405.
    5. Soto, Jose J. & Márquez, Luis & Macea, Luis F., 2018. "Accounting for attitudes on parking choice: An integrated choice and latent variable approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 65-77.
    6. Tian, Zhihui & Feng, Tao & Yao, Baozhen & Hu, Yan & Zhang, Jing, 2023. "Where to park an autonomous vehicle? Results of a stated choice experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    7. Awadallah, Faisal, 2009. "Intersection sight distance analysis and guidelines," Transport Policy, Elsevier, vol. 16(4), pages 143-150, August.
    8. Leung, Kevin Y.K. & Loo, Becky P.Y. & Tsui, K.L. & So, F.L. & Fok, Ellen, 2021. "To cross or not to cross: A closer look at children’s decision-making on the road," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 1-11.
    9. Vij, Akshay & Walker, Joan L., 2016. "How, when and why integrated choice and latent variable models are latently useful," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 192-217.
    10. Mohiuddin, Hossain & Bhuiya, Md Musfiqur Rahman & Hasan, Md Musleh Uddin & Jamme, Huê-Tâm, 2024. "How individual perceptions of transportation systems influence mode choice for mobility-challenged people: A case study in Dhaka using an integrated choice and latent variable model," Transport Policy, Elsevier, vol. 147(C), pages 259-270.
    11. Nabipour, Mohammad & Rosenberg, Mark W. & Nasseri, Seyed Hadi, 2022. "The built environment, networks design, and safety features: An analysis of pedestrian commuting behavior in intermediate-sized cities," Transport Policy, Elsevier, vol. 129(C), pages 14-23.
    12. Bornioli, Anna & Parkhurst, Graham & Morgan, Phillip L., 2019. "Affective experiences of built environments and the promotion of urban walking," Transportation Research Part A: Policy and Practice, Elsevier, vol. 123(C), pages 200-215.
    13. Solvi Hoen, Fredrik & Díez-Gutiérrez, María & Babri, Sahar & Hess, Stephane & Tørset, Trude, 2023. "Charging electric vehicles on long trips and the willingness to pay to reduce waiting for charging. Stated preference survey in Norway," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    14. Chen, Tzu-Ying & Jou, Rong-Chang, 2019. "Using HLM to investigate the relationship between traffic accident risk of private vehicles and public transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 148-161.
    15. Michael Siegrist, 2021. "Trust and Risk Perception: A Critical Review of the Literature," Risk Analysis, John Wiley & Sons, vol. 41(3), pages 480-490, March.
    16. Zhang, Yijing & Lu, Linjun & Liu, Qiujia & Hu, Miaoqing, 2023. "Modeling of low-risk behavior of pedestrian movement based on dynamic data analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
    17. Che, Maohao & Wong, Yiik Diew & Lum, Kit Meng & Liu, Shuai, 2024. "Impact of “keep left” measure on pedestrians, cyclists and e-scooter riders at a crossing of a signalised junction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    18. Nasar, Jack L. & Holloman, Christopher & Abdulkarim, Dina, 2015. "Street characteristics to encourage children to walk," Transportation Research Part A: Policy and Practice, Elsevier, vol. 72(C), pages 62-70.
    19. Wu, Min & Wang, Nanxi & Yuen, Kum Fai, 2023. "Can autonomy level and anthropomorphic characteristics affect public acceptance and trust towards shared autonomous vehicles?," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    20. Sven Ove Hansson, 2010. "Risk: objective or subjective, facts or values," Journal of Risk Research, Taylor & Francis Journals, vol. 13(2), pages 231-238, March.
    21. Aaditya, Bh. & Rahul, T.M., 2021. "Psychological impacts of COVID-19 pandemic on the mode choice behaviour: A hybrid choice modelling approach," Transport Policy, Elsevier, vol. 108(C), pages 47-58.
    22. Zhu, Wei & Timmermans, Harry, 2009. "Modelling pedestrian go-home decisions: A comparison of linear and nonlinear compensatory, and conjunctive non-compensatory specifications," Journal of Retailing and Consumer Services, Elsevier, vol. 16(3), pages 227-231.
    23. Rossetti, Tomás & Guevara, C. Angelo & Galilea, Patricia & Hurtubia, Ricardo, 2018. "Modeling safety as a perceptual latent variable to assess cycling infrastructure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 252-265.
    24. Liu, Yanan & Yang, Dujuan & Timmermans, Harry J.P. & de Vries, Bauke, 2020. "Analysis of the impact of street-scale built environment design near metro stations on pedestrian and cyclist road segment choice: A stated choice experiment," Journal of Transport Geography, Elsevier, vol. 82(C).
    25. Wang, Yu & Choudhury, Charisma & Hancock, Thomas O. & Wang, Yacan & Ortúzar, Juan de Dios, 2024. "Influence of perceived risk on travel mode choice during Covid-19," Transport Policy, Elsevier, vol. 148(C), pages 181-191.
    26. Kamargianni, Maria & Dubey, Subodh & Polydoropoulou, Amalia & Bhat, Chandra, 2015. "Investigating the subjective and objective factors influencing teenagers’ school travel mode choice – An integrated choice and latent variable model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 473-488.
    27. Ton, Danique & Duives, Dorine C. & Cats, Oded & Hoogendoorn-Lanser, Sascha & Hoogendoorn, Serge P., 2019. "Cycling or walking? Determinants of mode choice in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 123(C), pages 7-23.
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