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Ranking preferences towards adopting autonomous vehicles based on peer inputs and advertisements

Author

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  • Ishant Sharma

    (University of Memphis)

  • Sabyasachee Mishra

    (University of Memphis)

Abstract

Recent developments indicate that emerging technologies like connected and autonomous vehicles (CAVs) and mobility-on-demand services and their possible integrations can revolutionize travel behavior. Recent research studies also establish the importance of peer inputs and media advertisements in expediting the adoption of such emerging technologies. This study quantifies individuals' ranking preference towards multiple CAV-based travel modalities (owned, ride-hailing, carpooled, and public transport) based on psychological constructs-capturing the perceptions of the CAV-related information received from their peers and advertisements-using a statewide survey and hybrid choice model. Results indicate individuals’ increased concern towards their social status and barriers associated with CAVs when adopting a CAV-based travel mode. Also, individuals prioritize peer input over media advertisements and CAV-based ride-hailing services over other modalities. This study's findings and inferred implications will offer policymakers and public agencies valuable information to measure end-users ' inclinations to rank and adopt CAV-based travel modalities.

Suggested Citation

  • 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.
    • Handle: RePEc:kap:transp:v:50:y:2023:i:6:d:10.1007_s11116-022-10304-w
    DOI: 10.1007/s11116-022-10304-w
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    References listed on IDEAS

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    1. Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2006. "The effects of attitudes and personality traits on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 507-525, July.
    2. Greenblatt, Jeffery & Shaheen, Susan PhD, 2015. "Automated Vehicles, On-Demand Mobility and Environmental Impacts," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt23r1h80t, Institute of Transportation Studies, UC Berkeley.
    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. Peng Jing & Hao Huang & Bin Ran & Fengping Zhan & Yuji Shi, 2019. "Exploring the Factors Affecting Mode Choice Intention of Autonomous Vehicle Based on an Extended Theory of Planned Behavior—A Case Study in China," Sustainability, MDPI, vol. 11(4), pages 1-20, February.
    5. 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.
    6. Saeed, Tariq Usman & Burris, Mark W. & Labi, Samuel & Sinha, Kumares C., 2020. "An empirical discourse on forecasting the use of autonomous vehicles using consumers’ preferences," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    7. Ramin Shabanpour & Ali Shamshiripour & Abolfazl Mohammadian, 2018. "Modeling adoption timing of autonomous vehicles: innovation diffusion approach," Transportation, Springer, vol. 45(6), pages 1607-1621, November.
    8. Rodrigo Marçal Gandia & Fabio Antonialli & Bruna Habib Cavazza & Arthur Miranda Neto & Danilo Alves de Lima & Joel Yutaka Sugano & Isabelle Nicolai & Andre Luiz Zambalde, 2019. "Autonomous vehicles: scientometric and bibliometric review," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 9-28, January.
    9. Talebian, Ahmadreza & Mishra, Sabyasachee, 2022. "Unfolding the state of the adoption of connected autonomous trucks by the commercial fleet owner industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    10. 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.
    11. Ipek N. Sener & Johanna Zmud, 2019. "Chipping away at uncertainty: intent to use self-driving vehicles and the role of ride-hailing," Transportation Planning and Technology, Taylor & Francis Journals, vol. 42(7), pages 645-661, October.
    12. Christina Pakusch & Gunnar Stevens & Alexander Boden & Paul Bossauer, 2018. "Unintended Effects of Autonomous Driving: A Study on Mobility Preferences in the Future," Sustainability, MDPI, vol. 10(7), pages 1-22, July.
    13. Gopindra Sivakumar Nair & Sebastian Astroza & Chandra R. Bhat & Sara Khoeini & Ram M. Pendyala, 2018. "An application of a rank ordered probit modeling approach to understanding level of interest in autonomous vehicles," Transportation, Springer, vol. 45(6), pages 1623-1637, November.
    14. Liu, Peng & Zhang, Yawen & He, Zhen, 2019. "The effect of population age on the acceptable safety of self-driving vehicles," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 341-347.
    15. Thomas Leicht & Anis Chtourou & Kamel Ben Youssef, 2018. "Consumer innovativeness and intentioned autonomous car adoption," Post-Print hal-02511554, HAL.
    16. Wong, Yale Z. & Hensher, David A. & Mulley, Corinne, 2020. "Mobility as a service (MaaS): Charting a future context," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 5-19.
    17. Dennis Fok & Richard Paap & Bram Van Dijk, 2012. "A Rank‐Ordered Logit Model With Unobserved Heterogeneity In Ranking Capabilities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 831-846, August.
    18. Rafael Maldonado-Hinarejos & Aruna Sivakumar & John Polak, 2014. "Exploring the role of individual attitudes and perceptions in predicting the demand for cycling: a hybrid choice modelling approach," Transportation, Springer, vol. 41(6), pages 1287-1304, November.
    19. Helveston, John Paul & Liu, Yimin & Feit, Elea McDonnell & Fuchs, Erica & Klampfl, Erica & Michalek, Jeremy J., 2015. "Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the U.S. and China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 73(C), pages 96-112.
    20. Verity Watson & Terry Porteous & Tim Bolt & Mandy Ryan, 2019. "Mode and Frame Matter: Assessing the Impact of Survey Mode and Sample Frame in Choice Experiments," Medical Decision Making, , vol. 39(7), pages 827-841, October.
    21. Dimitris Milakis, 2019. "Long-term implications of automated vehicles: an introduction," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 1-8, January.
    22. Nielsen, Thomas Alexander Sick & Haustein, Sonja, 2018. "On sceptics and enthusiasts: What are the expectations towards self-driving cars?," Transport Policy, Elsevier, vol. 66(C), pages 49-55.
    23. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    24. Araz Taeihagh & Hazel Si Min Lim, 2019. "Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 103-128, January.
    25. Peng Liu & Run Yang & Zhigang Xu, 2019. "Public Acceptance of Fully Automated Driving: Effects of Social Trust and Risk/Benefit Perceptions," Risk Analysis, John Wiley & Sons, vol. 39(2), pages 326-341, February.
    26. Wang, Xia & Yu, Chunling & Wei, Yujie, 2012. "Social Media Peer Communication and Impacts on Purchase Intentions: A Consumer Socialization Framework," Journal of Interactive Marketing, Elsevier, vol. 26(4), pages 198-208.
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