Remember Me
Or use your Academic/Social account:


Or use your Academic/Social account:


You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.


Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message


Verify Password:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Vera-Villarroel, Pablo; Contreras, Daniela; Lillo, Sebasti?n; Beyle, Christian; Segovia, Ariel; Rojo, Natalia; Moreno, Sandra; Oyarzo, Francisco (2016)
Publisher: Public Library of Science
Journal: PLoS ONE
Languages: English
Types: Article
Subjects: Probability Theory, Evolutionary Adaptation, Research Article, Transportation Infrastructure, Mathematics, Research Design, Engineering and Technology, Covariance, Evolutionary Processes, Mathematical and Statistical Techniques, Multivariate Analysis, Physical Sciences, Evolutionary Biology, Psychology, Coating Materials, Sensory Perception, Statistics (Mathematics), Biology and Life Sciences, Materials Science, Neuroscience, Research and Analysis Methods, Random Variables, Roads, Medicine, Color Vision, Transportation, Q, Vision, R, Paints, Civil Engineering, Social Sciences, Science, Materials by Attribute, Statistical Methods

Classified by OpenAIRE into

mesheuropmc: genetic structures, human activities
The perception of colour and its subjective effects are key issues to designing safe and enjoyable bike lanes. This paper addresses the relationship between the colours of bike lane interventions-in particular pavement painting and intersection design-and the subjective evaluation of liking, visual saliency, and perceived safety related to such an intervention. Utilising images of three real bike lane intersections modified by software to change their colour (five in total), this study recruited 538 participants to assess their perception of all fifteen colour-design combinations. A multivariate analysis of covariance (MANCOVA) with the Bonferroni post hoc test was performed to assess the effect of the main conditions (colour and design) on the dependent variables (liking towards the intervention, level of visual saliency of the intersection, and perceived safety of the bike lane). The results showed that the colour red was more positively associated to the outcome variables, followed by yellow and blue. Additionally, it was observed that the effect of colour widely outweighs the effect of design, suggesting that the right choice and use of colour would increase the effectiveness on bike-lanes pavement interventions. Limitations and future directions are discussed.

Share - Bookmark

Cite this article