Beyond “accident-proneness”: Using Five-Factor Model prototypes to predict driving behavior

Abstract Research on the association between personality traits and driving behavior as well as accident involvement has produced mixed results. In order to obtain empirical evidence for a consistent relation between personality and driving behavior, a prototype approach based on the Five-Factor Model (FFM) was applied. In two samples of drivers, cluster analyses of FFM scales revealed three prototypes that replicate previous ones. The prototypes, labeled Resilient, Overcontrolled, and Undercontrolled, were found to differ reliably in accident involvement and driving behavior, indicating differential accident liability. Undercontrollers are the most problematic drivers followed by Resilients, whereas Overcontrollers most consistently obey traffic rules and drive accordingly.

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