Public anticipations of self-driving vehicles in the UK and US
Chris Tennant,
Jack Stilgoe,
Sandra Vucevic and
Sally Stares
Mobilities, 2025, vol. 20, issue 2, 292-309
Abstract:
Developers of self-driving vehicles (SDVs) work with a particular idea of a possible and desirable future. Members of the public may not share the assumptions on which this is based. In this paper we analyse free-text responses from surveys of UK (n = 4,860) and US (n = 1,890) publics, which ask respondents what springs to mind when they think of SDVs, and why they should or should not be developed. Responses (averaging a total 27 words per participant) tend to foreground safety hopes and, more regularly, concerns. Many respondents present alternative representations of relationships between the technology, other road users and the future. Rather than accepting a dominant approach to public engagement, which seeks to educate members of the public away from these views, we instead propose that these views should be seen as a source of social intelligence, with potential constructive contributions to building better transport systems. Anticipatory governance, if it is to be inclusive, should seek to understand and integrate public views rather than reject them as irrational or mutable.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/17450101.2024.2325386 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:rmobxx:v:20:y:2025:i:2:p:292-309
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rmob20
DOI: 10.1080/17450101.2024.2325386
Access Statistics for this article
Mobilities is currently edited by Professor Kevin Hannam, Professor Mimi Sheller and Professor John Urry
More articles in Mobilities from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().