Assessing public opinions of and interest in new vehicle technologies: An Austin perspective
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Respondents saw fewer crashes as the primary benefit of AVs.
“Moreover, respondents saw fewer crashes as the primary benefit of AVs, showing a positive view of safety improvements [57,58].”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [57]
The availability and prevalence of AVs and SAVs influence people's decisions about where to live.
“This means analysing how the availability and prevalence of AVs and SAVs influence people's decisions about where to live [57].”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [57]
Income, gender, technological familiarity, urban residency, and crash experience influence respondents' interest and willingness to pay for AV technologies.
“This is with respect to how income, gender, technological familiarity, urban residency, and crash experience influence respondents' interest and WTP for AV technologies [57].”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [57]
Rates of adoption of shared AVs vary under different pricing scenarios and are influenced by peers' adoption decisions.
“This is according to rates of adoption of shared AVs under various pricing scenarios, considering the influence of peers' adoption decisions [57]; it not only affects this, but also home-location decisions.”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [57]
Respondents' main issue with AVs is device failure.
“Their main issue, however, is device failure, emphasizing the importance of dependability and faith in technology.”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [57]
Larger households and individuals with bachelor's degrees or higher will move away from the downtown, and full-time working males, tech-savvy and higher income individuals will move closer to the downtown.
“Bansal et al. (2016) conclude that larger households and individuals with bachelor's degrees or higher will move away from the downtown and full-time working males, tech-savvy and higher income individuals will move closer to the downtown.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Bansal et al., 2016
Non-frequent users will be licensed drivers and older persons.
“Non-frequent users will be licensed drivers and older persons.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Bansal et al., 2016
Frequent users of SAV services will be high income tech-savvy males, individuals living in urban areas and densely populated neighbourhoods, and individuals having greater crash experience.
“Bansal et al. (2016) predict that the frequent users of SAV services will be high income tech-savvy males, individuals living in urban areas and densely populated neighbourhoods and individuals having greater crash experience.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Bansal et al., 2016
Cites
A survey of public opinion about connected vehicles in the U.S., the U.K., and Australia
Schoettle, B., & Sivak, M. (2014) · 2014 International Conference on Connected Vehicles and Expo (ICCVE) · doi:10.1109/iccve.2014.7297637 · Cited by 400 · see citing works
Flagged first, then by citations
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Autonomous vehicle perception: The technology of today and tomorrow
Van Brummelen, J., O’Brien, M., Gruyer, D., & Najjaran, H. (2018) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2018.02.012 · Cited by 869 · see citing works
Shared autonomous vehicle services: A comprehensive review
Narayanan, S., Chaniotakis, E., & Antoniou, C. (2020) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2019.12.008 · Cited by 691 · see citing works
Taeihagh, A., & Lim, H. S. M. (2019) · Transport Reviews · doi:10.1080/01441647.2018.1494640 · Cited by 601 · see citing works
Garrow, L. A., German, B. J., & Leonard, C. E. (2021) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2021.103377 · Cited by 488 · see citing works
Public acceptance and perception of autonomous vehicles: a comprehensive review
Othman, K. (2021) · AI and Ethics · doi:10.1007/s43681-021-00041-8 · Cited by 347 · see citing works
Shen, Y., Zhang, H., & Zhao, J. (2018) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2018.04.004 · Cited by 330 · see citing works
Modeling individuals’ willingness to share trips with strangers in an autonomous vehicle future
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Evaluating public acceptance of autonomous delivery robots during COVID-19 pandemic
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Conceptual Model to Explain, Predict, and Improve User Acceptance of Driverless Podlike Vehicles
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Adopting AI: how familiarity breeds both trust and contempt
Horowitz, M. C., Kahn, L., Macdonald, J., & Schneider, J. (2024) · AI & SOCIETY · doi:10.1007/s00146-023-01666-5 · Cited by 135 · see citing works
Shared Autonomous Vehicles Effect on Vehicle-Km Traveled and Average Trip Duration
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Residential Location Choice in the Era of Shared Autonomous Vehicles
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Spatial and welfare effects of automated driving: Will cities grow, decline or both?
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Examining public acceptance of autonomous mobility
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Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature
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Public opinion on types of voice systems for older adults
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- Authors
- Bansal, P., Kockelman, K. M., & Singh, A.
- Affiliations
- The University of Texas at Austin (US)
- Corresponding author
- Kockelman, Kara M.
- Venue
- Transportation Research Part C: Emerging Technologies
- Publisher
- Elsevier BV
- Published
- 2016-06
- Volume
- 67
- Pages
- 1-14
- ISSN
- 0968-090X (ISSN-L)
- OpenAlex
- W2256983726
- Cited by
- 1,025
- References
- 1
- Citations by year
- 2026: 65 · 2025: 89 · 2024: 133 · 2023: 119 · 2022: 133 · 2021: 143 · 2020: 120 · 2019: 124 · 2018: 59 · 2017: 30 · 2016: 10
- FWCI
- 64.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Transportation Research Part C Emerging Technologies (publishedVersion)
- Transportation Research Board 95th Annual MeetingTransportation Research Board
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Social Sciences › Transportation › Transportation Planning and Optimization
- Keywords
- connected and autonomous vehicles, public acceptance, willingness to pay, shared autonomous vehicles, technology adoption, intelligent vehicles, vehicle automation levels, demographic factors, Austin, Texas, vehicle pricing
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