Research Output

Applying on-line fleet driver assessment to help identify, target and reduce occupational road safety risks.

  Many studies have shown that driver attitude and behaviour are important determinants of the likelihood of collision involvement. Knowledge of the Rules of the Road and the perception of hazards are also associated with collision involvement. The aim of this paper is to review the practical application of an online fleet driver assessment program to help identify, target and reduce occupational road safety risks. A large and unique data set collected from online assessment of drivers employed in a UK telecommunications organisation is analyzed. Data was also collected on driver demographics and their driving and collision history. Analysis of the data revealed that attitude, behaviour, knowledge and hazard perception are highly correlated with self-reported collisions. The influence of these variables on collision involvement was assessed using a Poisson regression model. Both attitude and behaviour scores exhibit a statistically significant association with collision involvement, along with other variables such as mileage driven, driver age and personality. The findings lend support to the need to create a safety culture in which driver assessment and improvement is the norm, as well as reducing exposure to risk wherever possible through better ways of working and travelling.

  • Type:

    Article

  • Date:

    28 February 2009

  • Publication Status:

    Published

  • Publisher

    Elsevier

  • DOI:

    10.1016/j.ssci.2008.05.004

  • ISSN:

    0925-7535

  • Library of Congress:

    TL Motor vehicles. Aeronautics. Astronautics

  • Dewey Decimal Classification:

    388 Transportation; ground transportation

Citation

Darby, P., Murray, W. & Raeside, R. (2009). Applying on-line fleet driver assessment to help identify, target and reduce occupational road safety risks. Safety Science. 47, 436-442. doi:10.1016/j.ssci.2008.05.004. ISSN 0925-7535

Authors

Keywords

Driver assessment; Attitude; Knowledge; Hazard perception; Statistical models

Available Documents