Utilising the driver behaviour questionnaire in an Australian organisational fleet setting: can it identify risky drivers?

摘要: In this study the Manchester Driver Behaviour Questionnaire (DBQ) was employed in an Australian fleet setting to examine self-reported driving behaviours of a group professional drivers (N = 4792). Participants agreed complete surveys advertised through internal mail system. Analysis DBQ revealed three factor solution with two these factors consisting combination both aggression and highway code violations from original DBQ. The results indicate that further error construct common present study’s structures, additional are most accurately represented by aberrant involving low-level serious violations. Logistic regression analysis that, traditional factors, errors only significant predictor crashes after controlling for exposure. However, similar modified made were predictors crashes. This paper outlines major findings study, highlights implications regarding drivers’ involvement fleet-based settings considers utility self-report measures identify "at risk" drivers.