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Aggressive driving: Do driving overconfidence and aggressive thoughts behind the wheel, drive professionals off the road?

Mohammadpour, S. I ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1016/j.trf.2021.04.008
  3. Publisher: Elsevier Ltd , 2021
  4. Abstract:
  5. Aggressive driving has emerged as one of the most studied behaviors in the traffic psychology context due to its association with odds of motor vehicle crashes (MVCs) and especially fatal ones. Nevertheless, behavioral (aggression) and affective (anger) aspects of aggressive driving have been deeply studied; its cognitive part hasn't gained much attention; However, its role in understanding the process of aggression and designing interventions couldn't be neglected. This research investigated the contribution of overconfidence (as the driver's cognitive bias), aggressive thoughts, driver's aggression, and risk perception in driver's performance and the number of self-reported active accidents. The unique contribution of this study is its sample of urban bus drivers that have less been studied to date. Structural equation modeling (SEM), and mediation analysis revealed that overconfidence contributes to aggressive driving through aggressive thoughts behind the wheel. Moreover, overconfidence decreased the risk perception and driving performance of individuals, which were associated with a higher number of driver's accidents. Besides, aggressive thoughts behind the wheel predicted physically aggressive expression and using the vehicle to express anger, which were associated with a decreased level of driving performance and an increased number of accidents. This study brings further evidence, supporting the importance of cognition in understanding and preventing aggressive driving and its adverse outcomes. © 2021 Elsevier Ltd
  6. Keywords:
  7. Automobile drivers ; Bus drivers ; Risk perception ; Wheels ; Adverse outcomes ; Aggressive driving ; Cognitive bias ; Driver's performance ; Driving performance ; Mediation analysis ; Motor vehicle crashes ; Structural equation modeling ; Accidents
  8. Source: Transportation Research Part F: Traffic Psychology and Behaviour ; Volume 79 , 2021 , Pages 170-184 ; 13698478 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/pii/S1369847821000899?via%3Dihub