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

James E Freeman; Darren E Wishart; Jeremy D Davey; Bevan D Rowland; Robert Williams

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

Journal article

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

James E Freeman, Darren E Wishart, Jeremy D Davey, Bevan D Rowland and Robert Williams

Journal of the Australasian College of Road Safety, Vol.20(2), pp.38-45

2009

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Abstract

Public Health and Health Services

Transportation and Freight Services

Psychology

Road Safety

Driver Behaviour Questionnaire (DBQ)

fleet drivers

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

Details

Title: Utilising the driver behaviour questionnaire in an Australian organisational fleet setting : can it identify risky drivers?
Authors: James E Freeman (Author) - Queensland University of Technology
Darren E Wishart (Author) - Queensland University of Technology
Jeremy D Davey (Author) - Queensland University of Technology
Bevan D Rowland (Author) - Queensland University of Technology
Robert Williams (Author) - Queensland University of Technology
Publication details: Journal of the Australasian College of Road Safety, Vol.20(2), pp.38-45
Publisher: Australasian College of Road Safety
Date published: 2009
ISSN: 1832-9497
Organisation Unit: Road Safety Research Collaboration; School of Social Sciences - Legacy; University of the Sunshine Coast, Queensland; School of Law and Society; Sexual Violence Research and Prevention Unit
Language: English
Record Identifier: 99451369602621
Output Type: Journal article

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