Personality predictors of driving accidents

Trimpop, Rüdiger; Kirkcaldy, Bruce

doi:10.1016/s0191-8869(97)00017-2

Cited by 59 publications

(32 citation statements)

References 18 publications

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“…A major finding of this study was that the highest rate of commuting accidents was found in the age group under 25 yr in comparison to other age groups. This finding is in line with other studies showing a high incidence of commuting accidents in the age group under 25 yr 10,11) . In our study young employees were more often involved in car accidents compared to other means of transport.…”

Section: Discussionsupporting

confidence: 93%

Commuting Accidents in the German Chemical Industry

et al. 2010

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Section: Discussionsupporting

confidence: 93%

Commuting Accidents in the German Chemical Industry

et al. 2010

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“…First, drivers who are impulsive -that is, those who respond quickly to stimuli, and without thought -are more likely to drive in risky manners (e.g., Arthur & Doverspike, 2001;Beirness, 1993;Dahlen et al, 2005;Schwebel et al, 2006). Second, drivers who are high in sensation seeking -those who enjoy risky, exciting, sensational, and novel activities -are more likely to drive in risky manners (Burns & Wilde, 1995;Iversen & Rundmo, 2002;Jonah, 1997;Jonah, Thiessen, & Au-Yeung, 2001;Trimpop & Kirkcaldy, 1997).…”

Section: Introductionmentioning

confidence: 99%

Individual difference factors in risky driving among older adults

Schwebel

Ball

Severson

et al. 2007

Journal of Safety Research

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“…A more effective way is to predict AP using other related factors. Psychological studies on AP mainly focus on its personality source (Trimpop & Kirkcaldy, 1997;Ulleberg & Rundmo, 2003). The relatively of less interests, but not less important, is the cognitive aspect.…”

Section: Introductionmentioning

confidence: 99%

A Cognitive Tool to Predict Individual Accident Proneness of Vehicle Drivers

Wang

Xue²,

Li³

et al. 2009

International Conference on Transportation Engineering 2009

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Abstract:Cognitive abilities are believed to be highly correlated with driving safety (Anderson et al., 2005). Developing cognitive tasks to predict individual traffic accident proneness could benefit both driver screening and traffic accident prevention. In this study we designed four tasks to measure vehicle drivers' cognitive abilities consisting of attention span, attention distribution, spatial working memory span, multiple object tracking and speed estimation. Significant correlation was found between these cognitive indexes and the drivers' crash frequency in a simulated driving task. Then the drivers were divided into high accident-prone group and low accident-prone group based on their crash frequency. Discriminant analysis using cognitive indexes as discriminant variables revealed an up to 94.4% highly accurate classification pattern, which approved the validity of our cognitive tool as a useful predictor of individual driver's accident proneness.

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Personality predictors of driving accidents

Cited by 59 publications

References 18 publications

Commuting Accidents in the German Chemical Industry

Commuting Accidents in the German Chemical Industry

Individual difference factors in risky driving among older adults

A Cognitive Tool to Predict Individual Accident Proneness of Vehicle Drivers

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