Personality, dangerous driving, and involvement in accidents: Testing a contextual mediated model.

Highlights • We tested the contextual mediated model of involvement in accidents. • We included a range of personality traits as predictors (e.g., Big-5, Dark Triad). • Risky driving was the only predictor of involvements in accidents. • Psychopathy and sensation seeking had an indirect effect on involvements in accidents. Abstract The present study tested the role of various personality traits in explaining dangerous driving and involvement in accidents, using a contextual mediated model (N = 311). We initially found direct effects of personality traits on dangerous driving indicators (Big-5, Dark Triad, sensation seeking, aggression, and impulsivity). Subsequently, personality variables with predictive power were tested in the mediation model. Indirect effects of anger, psychopathy and sensation seeking on the history of involvement in traffic accidents were found, which was predicted directly by risky driving. The results are discussed based on the characteristics of each trait. Overall, our research replicates and extends previous findings and highlights the importance of psychological evaluations (e.g., personality test) when prospective drivers are applying for a driver license. [ABSTRACT FROM AUTHOR]

Copyright of Transportation Research: Part F is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)