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Self-explaining roads: What does visual cognition tell us about designing safer roads?
- Source :
- Cognitive Research, Vol 6, Iss 1, Pp 1-15 (2021), Theeuwes, J 2021, ' Self-explaining roads : What does visual cognition tell us about designing safer roads? ', Cognitive Research: Principles and Implications, vol. 6, 15, pp. 1-15 . https://doi.org/10.1186/s41235-021-00281-6, Cognitive Research: Principles and Implications
- Publication Year :
- 2021
- Publisher :
- SpringerOpen, 2021.
-
Abstract
- In 1995, Theeuwes and Godthelp published a paper called “self-explaining roads,” in which they argued for the development of a new concept for approaching safe road design. Since this publication, self-explaining roads (SER) became one of the leading principles in road design worldwide. The underlying notion is that roads should be designed in such a way that road users immediately know how to behave and what to expect on these roads. In other words, the environment should be designed such that it elicits adequate and safe behavior. The present paper describes in detail the theoretical basis for the idea of SER and explains why this has such a large effect on human behavior. It is argued that the notion is firmly rooted in the theoretical framework of statistical learning, subjective road categorization and the associated expectations. The paper illustrates some successful implementation and describes recent developments worldwide.
- Subjects :
- Automobile Driving
Experimental psychology
Cognitive Neuroscience
Experimental and Cognitive Psychology
lcsh:Consciousness. Cognition
Review Article
050105 experimental psychology
03 medical and health sciences
Cognition
0302 clinical medicine
SAFER
11. Sustainability
Humans
0501 psychology and cognitive sciences
Statistical analysis
Sociology
Road user
business.industry
Statistical learning
05 social sciences
Accidents, Traffic
Public relations
lcsh:BF309-499
Visual cognition
Categorization
Environment Design
Safety
business
Know-how
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISSN :
- 23657464
- Volume :
- 6
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Cognitive Research
- Accession number :
- edsair.doi.dedup.....12b3d5467550f86a303be07bc3ae5fa7