Journal article
To embrace or not to embrace? Understanding public’s dilemma about autonomous mobility services: A case study of Singapore
Case Studies on Transport Policy, Vol.9(4), pp.1542-1552
2021
Abstract
One of the key challenges to Autonomous Vehicle (AV) adoption and realization of the benefits is how the general public perceives the technology and how willing or unwilling they are to accept it. However, research focusing on understanding user’s perception and acceptance is still incipient, despite the recent proliferation of literature on autonomous mobility. In our study, we aim to address the gap in the literature using Singapore as our case study. Instead of relying on a single source of data, we draw and compare results from two different data sources collected using different methodologies – a survey and a public engagement event – to explore preferences about the impending introduction of AVs in public transport. Top three implementation preferences found both in the survey and debate samples include: 1) clearer clarification of liability in case an accident occurs, 2) implementing a public education campaign on how the autonomous technology works and what the possibilities and limitations are, and 3) having AVs tested on the roads by the authorities first before making available to the public. We also found that trust in AVs exist in this context; this trust can be further strengthened through addressing the concerns and uncertainty surrounding AV technology as identified in the paper.
Details
- Title
- To embrace or not to embrace? Understanding public’s dilemma about autonomous mobility services: A case study of Singapore
- Authors
- Samuel Chng - Singapore University of Technology and DesignSabreena Anowar (Corresponding Author) - University of MissouriLynette Cheah - Singapore University of Technology and Design
- Publication details
- Case Studies on Transport Policy, Vol.9(4), pp.1542-1552
- Publisher
- Elsevier BV
- Date published
- 2021
- DOI
- 10.1016/j.cstp.2021.08.004
- ISSN
- 2213-6258
- Data Availability
- The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
- Organisation Unit
- School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 991029278102621
- Output Type
- Journal article
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- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Transportation
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