Journal article
Heavy vehicle crash characteristics in Oman, 2009-2011
Sultan Qaboos University Medical Journal, Vol.15(2), pp.e191-e201
2015
Abstract
In recent years, Oman has seen a shift in the burden of diseases towards road accidents. The main objective of this paper, therefore, is to describe key characteristics of heavy vehicle crashes in Oman and identify the key driving behaviours that influence fatality risks. Crash data from January 2009 to December 2011 were examined and it was found that, of the 22,543 traffic accidents that occurred within this timeframe, 3,114 involved heavy vehicles. While the majority of these crashes were attributed to driver behaviours, a small proportion was attributed to other factors. The results of the study indicate that there is a need for a more thorough crash investigation process in Oman. Future research should explore the reporting processes used by the Royal Oman Police, cultural influences on heavy vehicle operations in Oman and improvements to the current licensing system.
Details
- Title
- Heavy vehicle crash characteristics in Oman, 2009-2011
- Authors
- Islam Al Bulushi (Author) - Queensland University of TechnologyJason Edwards (Author) - Queensland University of TechnologyJeremy D Davey (Author) - Queensland University of TechnologyKerry Ann Armstrong (Author) - Queensland University of TechnologyHamed Al Reesi (Author) - Sultan Qaboos University, OmanKhalid Al Shamsi (Author) - Sultan Qaboos University, Oman
- Publication details
- Sultan Qaboos University Medical Journal, Vol.15(2), pp.e191-e201
- Publisher
- Sultan Qaboos University, College of Medicine
- Date published
- 2015
- ISSN
- 2075-051X
- Copyright note
- Copyright © 2015 Sultan Qaboos University Medical Journal. The Author Accepted Version is reproduced here with permission.
- Organisation Unit
- Road Safety Research Collaboration; School of Social Sciences - Legacy; University of the Sunshine Coast, Queensland; School of Law and Society
- Language
- English
- Record Identifier
- 99450790002621
- Output Type
- Journal article
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