ABSTRACT
It is estimated that throughout the world, 1.3 million traffic crashes result in fatalities every year (WHO, 2010). Currently, a wide variety of self-report measurement tools are employed with the intention of predicting which driver types have the greatest risk of crash involvement. Many of these tools, including the Manchester Driver Behaviour Questionnaire (DBQ) (Reason, Manstead, Stradling, Baxter and Campbell, 1990), were specifically developed to examine different types of aberrant driving behaviours and utilise self-reported crash history as a dependent variable. Through individual differences based methodology, researchers attempt to identify drivers (and types of driving) that are predictive of crash involvement.
