Attitudes and Concerns on Automated Vehicles
People’s mindset and attitudes exert a strong influence on how quickly a new technology is adopted, thus also affecting how well the benefits resulting from automated vehicles can be realized. In previous studies on people’s attitudes towards automated vehicles, the number of respondents surveyed has been small, or alternatively survey’s sample has not been representative. By describing the results of a large citizen survey (N = 2036), this study aims to fill this identified research gap and to reveal, whether people are ready for automated vehicles and what concerns people have that hinder the adoption of these vehicles. The study’s results indicate that people’s attitudes towards automated vehicles reflect the general adoption of technology well. The authors can assume that those who currently view automated vehicles positively are most likely to belong in the group of early adopters. The authors found that men, highly educated individuals, people living in densely populated area and those living in households without a car had a more positive attitude to automated vehicles than the other respondents did. The results indicate that traffic safety and ethical perspectives have a key role in the acceptance of automated vehicles. Developers of automated vehicles should also take into account the finding that currently most people consider that all automated vehicles must have the option of manual drive.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13698478
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Supplemental Notes:
- © 2018 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Liljamo, Timo
- Liimatainen, Heikki
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0000-0001-7453-6594
- Pöllänen, Markus
- Publication Date: 2018-11
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 24-44
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Serial:
- Transportation Research Part F: Traffic Psychology and Behaviour
- Volume: 59
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1369-8478
- Serial URL: http://www.sciencedirect.com/science/journal/13698478
Subject/Index Terms
- TRT Terms: Attitudes; Autonomous land vehicles; Demographics; Ethics; Intelligent transportation systems; Intelligent vehicles
- Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01681664
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 24 2018 10:05AM