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significant safety concern for transport authorities and other organisations such as insurance

               companies and health and emergency services.


               Furthermore,  Safe  Work  Australia  (2012)  indicates  that  the  road  freight  transport  sector
               experiences about 20.5 deaths per 100,000 workers, which is eleven times higher than the

               average of all industries. Single vehicle crashes resulted in the death of 338 truck drivers,
               which  consisted  of  69%  of  all  truck  driver  fatalities  between  2003-04  and  2010-11  in

               Australia. Therefore, traffic collisions involving heavy vehicles are a major workplace health

               and safety concern for the freight industry and a significant concern for many other industries
               that require this critical service in their supply chains.



               Therefore,  the  National  Road  Safety  Strategy  2011-2020  of  Australia  has  targeted  the
               reduction in the number of crashes involving heavy vehicle as one of the key performance

               indicators (Austroads, 2013). Moreover, the transport sector has been designated as a priority
               area in the Science and Research Priorities by the Australian government (Science, 2017).

               Therefore, research to identify the factors contributing to heavy vehicle crashes is needed to
               provide evidence-based recommendations to improve the safety of heavy vehicles.



               1.2     Research Objectives



               The overall aim of this research is to identify the factors influencing heavy vehicle crashes
               and injury severity in Victoria, Australia. To achieve this aim, the following objectives have

               been established for this study:


               1.  To  develop  a  model  to  determine  the  differences  in  the  variables  influencing  single-
                    vehicle crashes involving heavy vehicles at intersections and mid-blocks.



               2.  To  develop  a  crash  injury  severity  model  to  predict  the  influence  of  neighbourhood
                    socioeconomic variables on injury severity in heavy-vehicle collisions.


               3.  To develop a crash injury severity model to determine the factors contributing to injury

                    severity in angle collisions involving heavy vehicles.



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