Department of Justice and Regulation
Company Info: The vision of the Department of Justice and Regulation (the department) is for a safe, just, innovative and thriving Victoria where the rule of law is upheld, and rights and responsibilities are respected. The department leads the delivery of justice and regulation services in Victoria. It has productive partnerships with more than 60 statutory entities and has the support of more than 100,000 volunteers. It has extensive service delivery responsibilities, which range from managing the state’s prison system to providing consumer protection and enforcing court warrants. The department manages the development and implementation of a range of laws, regulation and policy in areas across the portfolio (such as in gaming, racing and emergency management) and ensures that all elements of the justice and regulation system are working efficiently and effectively.
For more information: http://www.justice.vic.gov.au/home/
PROJECT 1: Investigation of new and refined methods of allocation enforcement resources (CLOSED)
The Traffic Enforcement Resource Allocation Model (TERAM) is a macro model for investigating the road safety benefits of broad resource investment. Previous work has established a high-level model based on Statewide needs, and is now at a stage where it requires refinement to optimise the methods for allocating resources across the State that will be effective in reducing casualty crashes. This PhD will investigate methods of an enforcement association model of TERAM and develop a model to optimise allocation of enforcement resources across the State based on demonstrated road safety needs.
PROJECT 2: Drugs and driving: effectiveness of enforcement measures (CLOSED)
The issues surrounding drugs and driving are emerging problems in road safety and there is a growing awareness of the impairing effects of methamphetamines, cannabis and combined with alcohol. This PhD will build on an existing research stream at MUARC. It will focus on understanding drug use and driving amongst high risk groups (occupational drivers and dependent drug users) and examine the effectiveness of various forms of measures to reduce drug driving and identify which has the highest outcome.