The role of affective processes on young drivers' risk perceptions: a dual process model approach
B. McNally and
K. Titchener
Journal of Risk Research, 2012, vol. 15, issue 1, 39-51
Abstract:
Young adults continue to be over-represented in injury and death statistics associated with transport-related crashes. The current paper investigates the application of the dual process model of risky judgement to the processing of transport-related risky behaviours. One hundred Australian participants completed an online survey exploring four transport-related risky situations. Participants were assessed on their cognitive and affective evaluations of the risky situations as well as their self-reported likelihood of participation in them. The findings indicate that perceptions of risk for specific transport-related behaviours are not processed in a consistent manner. Predictive factors, including gender, affective and cognitive processing, as well as the subsequent self-reported likelihood of engaging in the behaviours, varied between situations. The research indicates that driver interventions may need to be individually targeted to specific transport-related risky behaviours to compensate for the variation in predictive factors.
Date: 2012
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://hdl.handle.net/10.1080/13669877.2011.601321 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:jriskr:v:15:y:2012:i:1:p:39-51
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RJRR20
DOI: 10.1080/13669877.2011.601321
Access Statistics for this article
Journal of Risk Research is currently edited by Bryan MacGregor
More articles in Journal of Risk Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().