“I trust Norway” – Investigating acceptance of shared autonomous shuttles using open and closed questions in short-form street interviews

Ole Aasvik*, Marjan Hagenzieker, Pål Ulleberg

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Shared autonomous shuttles (SASs) could improve the mobility infrastructure in the worlds’ growing cities. This novel service could reduce congestion and improve both mobility and sustainability. To facilitate the implementation of SASs, more research is needed on the psychological aspects of sharing a small, intimate shuttle with strangers. The current study is among the first to use open-ended questions to investigate SAS acceptance. This investigation is based on the Multi-Level Model on Automated Vehicle Acceptance (MAVA). We had 236 participants answer short-form interviews including both open-ended questions and quantitative items. Quantitative data were analyzed using descriptive statistics and correlations, and qualitative data analyzed with directed content analysis. Respondents seem very positive about the proposed new transport service. We found that perceived usefulness, hedonic motivation, trust, and social influence shared large correlations with intentions to use. Other factors such as demographics, technology savviness and use of public transport did not share a linear relationship with intentions to use. Qualitative analysis suggests that, while most people do not mind sharing shuttles with strangers, some could find the social situation deterring. People seem most concerned with availability, effectiveness, travel cost and safety. The reported positive attitudes towards the service seem predicated upon trust in the government regulation and proper testing of the technology, that many think of as immature. Regulation and thorough testing may be paramount in keeping people positive. This study emphasizes the importance of trust and safety to adoption of SAS, while suggesting new factors that need further investigation.

Original languageEnglish
Article number101414
Number of pages8
JournalTransportation Research Interdisciplinary Perspectives
Volume31
DOIs
Publication statusPublished - 2025

Keywords

  • Mixed-methods
  • Open-ended approach
  • Public acceptance
  • Shared autonomous shuttles
  • Street interview

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