Permanent record
RIR-2067 · Logged 13 July 2026
Evaluating Normative Interventions for Enhancing Public Trust in Shared Autonomous Public Transport Systems
Public trust is essential for the adoption of shared autonomous vehicles, yet safety perceptions remain the primary driver of user intention. This study investigates how normative messaging can be refined to complement safety communication strategies.
In plain words
People need to trust shared self-driving vehicles before they will use them, and feeling safe matters most. Could messages about what other people think and do build longer-lasting trust alongside safety information?
Primary research question
To what extent do different normative framing strategies influence long-term public trust in autonomous transport?
Knowledge gap
What remains worth asking
The source suggests that while normative cues influence trust, they do not replace safety perceptions, so it remains useful to test the interaction between safety communication and social norms over time.
Potential contribution
Why it may matter
This research assists transport authorities in designing effective public communication strategies for autonomous technology adoption.
Academic placement
Academic fields and topic tags
Study frame: Public perception of shared autonomous transport in urban settings. · Method signals: Experimental survey, Regression analysis
Possible study pathways
One question, different levels
Postgraduate diploma
Public communication strategies for emerging technologies
Research master’s
Psychological determinants of technology adoption
Doctoral
Sociotechnical transitions and public trust in automation
- originality
- Moderate
- methodology
- Moderate
- Data access
- Accessible
- ethics
- Accessible
Quality and audit
88/100 quality
Safeguard-based audit was not recorded under the prior standard.
- Builds on existing experimental findings regarding normative framing.
- Open-access scholarly source and DOI metadata verified
This older record can be checked against the current standard on request. It changes only if every academic gate and independent safeguard passes.
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Research Idea curation
- DOI and bibliographic metadata independently resolved
- Open-access status verified
- The research direction is transparently marked as AI-inferred
The public contributor code contains no name or account email.
APA 7 source
Vassanyi, S., Aasvik, O., & Ulleberg, P. (2026). Driven by trust? Social norms increase trust in shared autonomous public transport. Frontiers in Future Transportation, 7, Article 1687363. https://doi.org/10.3389/ffutr.2026.1687363
Paper abstract and discussion context; AI-inferred direction
This is an AI-inferred direction. The source authors did not state it as a recommendation.
Open source ↗