Files and links (1)
Published VersionCC BY V4.0, Open Access
Journal article
Understanding Autonomous Road Public Transport Acceptance: A Study of Singapore
Sustainability , Vol.12(12), pp.1-12
2020
Abstract
This study examines the perceptions of concerns and benefits surrounding autonomous road vehicles deployed for public transport, their relationships with public acceptance, and what the public prefers during its implementation. Surveying 210 participants in Singapore, we found a general acceptance of the deployment of autonomous road public transport in Singapore with agreement that introducing them would be beneficial, particularly in improving public transport reliability and accessibility. However, they reported concerns in the areas of technical-related issues and legal liability. Participants who perceived greater benefits were also likely to report greater acceptance, even after taking into account their concerns and sociodemographic backgrounds. Participants also reported preferences for human operators to continue playing an active role, the government to test the autonomous vehicles extensively before making them available for public use and greater clarity on the legal liability when accidents involving autonomous vehicles occur when autonomous road public transport is eventually implemented.
Details
- Title
- Understanding Autonomous Road Public Transport Acceptance: A Study of Singapore
- Authors
- Samuel Chng (Corresponding Author) - Singapore University of Technology and DesignLynette Cheah - Singapore University of Technology and Design
- Publication details
- Sustainability , Vol.12(12), pp.1-12
- Publisher
- MDPI AG
- Date published
- 2020
- DOI
- 10.3390/su12124974
- ISSN
- 2071-1050
- Copyright note
- © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
- Organisation Unit
- School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 991029279802621
- Output Type
- Journal article
Metrics
30 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Web Of Science research areas
- Environmental Sciences
- Environmental Studies
- Green & Sustainable Science & Technology
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites