Predicting high risk behaviours in a fleet setting : Implications and difficulties utilising behaviour measurement tools
Davey, Jeremy D., Freeman, James E., & Wishart, Darren E. (2008) Predicting high risk behaviours in a fleet setting : Implications and difficulties utilising behaviour measurement tools. In Dorn , Lisa (Ed.) Driver Behaviour and Training, Vol 3. Human Factors in Road and Rail Safety. Ashgate, Aldershot, pp. 175-187.
Fleet and work related motor vehicle crashes represent a substantial physical, emotional and financial cost to the community. Previous estimations have indicated that the total cost of work related road incidents in Australia was in the vicinity of $1.5 billion (Wheatley, 1997). More recent evidence has suggested that the average total insurance cost of a fleet incident to organisations and society is approximately $28, 000 (Davey & Banks, 2005), while the average cost of a fatal crash in the general Australian motoring community is estimated to be $2 million (Austroads, 2006). Furthermore, estimates of the true cost for work related crashes suggest that hidden costs may be somewhere between 8-36 times vehicle repair/replacement costs (Murray et al, 2003). Of note is that a high proportion of work-related deaths and injuries within the overall road toll consist of work-related crashes (Murray et al., 2003; Wheatley, 1997), as work-related traffic injuries have been estimated to be twice as likely to result in death or permanent disability than other workplace accidents (Wheatley, 1997).
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
Repository Staff Only: item control page