Consequences of autonomous vehicles: Ambivalent expectations and their impact on acceptance
Connected and autonomous vehicles (CAVs) are within reach of widespread deployment on public roads, but public perceptions are ambivalent. The objective of the present research was to assess expectations about the consequences of CAV introduction. These expectations should explain CAV acceptance, but their relative importance is poorly understood. The authors conducted a survey with a representatively drawn panel sample (N = 529) from France, Germany, Italy, and the UK. The survey consisted of a large item pool of expected consequences from CAV introduction, as well as general and affective evaluation of CAVs, ease of use, and behavioral intention to use CAVs. Exploratory factor analysis revealed four facets of expected consequences: road safety, privacy, efficiency and ecological sustainability. On average, expectations were mostly positive for ecological sustainability and safety, but negative for privacy. At the same time, substantial variance existed between respondents and between countries. For safety and efficiency, improvement was expected by a third of respondents, while another third expected worsening. Respondents from Italy expected more positive consequences for safety, while respondents from both France and Germany expected more negative consequences for privacy. To different degrees, all four facets predicted the intention to use CAVs in a structural equation model, primarily via affective evaluations. For policy makers, manufacturers, and service providers, understanding the trade-offs inherent to different CAV solutions will be central to ensure citizens’ needs are respected.
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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:
- © 2021 Celina Kacperski, Florian Kutzner, and Tobias Vogel. Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
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Authors:
- Kacperski, Celina
- Kutzner, Florian
- Vogel, Tobias
- Publication Date: 2021-8
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 282-294
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Serial:
- Transportation Research Part F: Traffic Psychology and Behaviour
- Volume: 81
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1369-8478
- Serial URL: http://www.sciencedirect.com/science/journal/13698478
Subject/Index Terms
- TRT Terms: Acceptance; Attitudes; Autonomous vehicles; Connected vehicles; Consumer behavior
- Geographic Terms: France; Germany; Italy; United Kingdom
- Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01779523
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 24 2021 10:37AM