Work-related driving safety is an emerging concern for Australian and overseas organisations. Research has shown that road crashes are the most common cause of work-related fatalities, injuries and absences from work. This study's objectives were to identify driver characteristics which pose potential risks to work-related driving safety within the organisation, as well as determining the value of such self-reported data to predict crash involvement and general aberrant driving behaviours. This paper reports on a study examining the predictive utility of predominant self-report questionnaires to identify individuals involved in work-related crashes within an Australian organisational fleet setting (N = 4195). Survey questionnaires included the Manchester Driver Behaviour Questionnaire (DBQ), Driver Attitude Questionnaire (DAQ), Safety Climate Questionnaire – Modified for Drivers (SCQ-MD) and Risk Taking. The tools were distributed through the company’s internal mail system to employees who volunteered to participate in the study. An important finding to emerge was that a potential fleet "speeding culture" was identified from univariate analyses. For example, drivers were most likely to report engaging in speeding behaviours and also believed that speeding was more acceptable compared to drink driving, following too closely or engaging in risky overtaking manoeuvres. However, multivariate analysis determining factors associated with self-reported crash involvement revealed that increased work pressure and driving errors were predictive of crash risk, even after controlling for exposure on the road. This paper highlights the major findings of the study and discusses the implications and difficulties associated with utilising driver behaviour measurement tools within contemporary organisational fleet settings
