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A survey of public opinion about connected vehicles in the U.S., the U.K., and Australia
Open accessAbstract
This survey examined public opinion regarding connected-vehicle technology across three large English-speaking countries-the U.S., the U.K., and Australia. The survey yielded useable responses from 1,596 persons over the age of 18. The main results were as follows: The majority of respondents had not previously heard of connected-vehicle technology; however, most had a positive initial opinion of the technology. The majority felt that the expected benefits presented in the survey are likely to occur. Respondents generally expressed a high level of concern regarding the security and performance issues presented in the survey. The majority of those surveyed stated that safety was the most important aspect of connected vehicles. Most individuals said that it is important for personal communication devices to integrate with connected vehicles, as well as for such vehicles to have Internet connectivity. The majority of respondents expressed a desire to have this technology in their vehicle. Willingness to pay for connected-vehicle technology was very similar across the three countries. The main implications of these results are that the general public in the three countries surveyed feel positive about connected vehicles, have optimistic expectations of the benefits (while still maintaining some concerns), and generally desire connected-vehicle technology when it becomes available.
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“The survey by Schoettle and Sivak in the US shows that 69% of the respondents are highly concerned about the safety of the AV system [35].”
From Public acceptance and perception of autonomous vehicles: a comprehensive review (2021) · cites this paper as [35]
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“Schoettle and Sivak, found that males are more interested in AVs, with 19% of the males fully AVs compared to 12.4% of the females.”
From Public acceptance and perception of autonomous vehicles: a comprehensive review (2021) · cites this paper as [35]
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“Additionally, females responded with higher levels of concern than males as 30% of males were concerned about fully AVs compared to 40% of females [35].”
From Public acceptance and perception of autonomous vehicles: a comprehensive review (2021) · cites this paper as [35]
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- 0, The full questionnaire text can be downloaded at
- 2014, NHTSA [National Highway Traffic Safety Administration
- 2014, SurveyMonkey
- 2012, Questions & answers about DOT's safety pilot model deployment
- 2012, Light vehicle driver acceptance clinics Preliminary results
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Metadata
- Authors
- Schoettle, B., & Sivak, M.
- Affiliations
- University of Michigan (US)
- ORCID
- Schoettle, Brandon
- Venue
- 2014 International Conference on Connected Vehicles and Expo (ICCVE)
- Publisher
- IEEE
- Published
- 2014-11
- Pages
- 687-692
- OpenAlex
- W1896855614
- Cited by
- 400
- References
- 0
- Citations by year
- 2026: 17 · 2025: 23 · 2024: 40 · 2023: 44 · 2022: 42 · 2021: 59 · 2020: 64 · 2019: 44 · 2018: 32 · 2017: 17 · 2016: 13 · 2015: 5
- FWCI
- 22.90
- Type
- conference paper
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- International Conference on Connected Vehicles and Expo (publishedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- Topics
- Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
- Social Sciences › Transportation › Transportation and Mobility Innovations
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- connected vehicles, public opinion, technology acceptance, consumer attitudes, vehicle safety, cybersecurity concerns, internet access, willingness to pay, cross-national comparison, United States, United Kingdom, Australia
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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