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

Renan P Monteiro, Gabriel Lins de Holanda Coelho, Paul H. P. Hanel, Carlos Eduardo Pimentel, Valdiney V Gouveia

Research output: Contribution to journalArticlepeer-review

31 Citations (SciVal)
118 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)106-114
Number of pages9
JournalTransportation Research Part F - Traffic Psychology and Behaviour
Early online date20 Jun 2018
Publication statusPublished - 1 Oct 2018


  • Personality
  • Psychopathy
  • Sensation seeking
  • Traffic psychology

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Automotive Engineering
  • Transportation
  • Applied Psychology


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