Abstract
This study employs the cognitive miser model and science literacy model as theoretical frameworks to investigate motivations behind public willingness to use driverless cars in Singapore. Findings from a large-scale survey of 1,006 adult Singaporeans indicate that public willingness to use driverless cars was strongly related to value predispositions, especially affect. Aside from having a direct relationship with willingness to use driverless cars, this study found that affect also had an indirect relationship with willingness to use driverless cars via benefit perceptions. Meanwhile, findings failed to reveal significant relationships between two types of science knowledge and willingness to use driverless cars. The findings shed light on the current public opinion on driverless cars in Singapore and lend support to the cognitive miser model over the scientific literacy model. Theoretical and practical implications are discussed.
Original language | English |
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Pages (from-to) | 49-61 |
Number of pages | 13 |
Journal | Transportation Research Part F: Traffic Psychology and Behaviour |
Volume | 71 |
DOIs | |
Publication status | Published - May 2020 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2020 Elsevier Ltd
ASJC Scopus Subject Areas
- Civil and Structural Engineering
- Automotive Engineering
- Transportation
- Applied Psychology
Keywords
- Autonomous vehicles
- Cognitive miser model
- Driverless cars
- Media attention
- Science literacy model
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