Injury Analysis and Data

Led by Professor Stuart Newstead, the MUARC Injury Analysis and Data team uses extensive specialist knowledge on analysis design and statistical analysis methodologies applied to large and complex datasets to identify safety problems, evaluate programs, model safety strategies and analyse vehicle safety performance.

The team are skilled in the management, analysis and presentation of a wide range of safety and injury prevention related data to produce real-world benefits. Their work focuses primarily on road safety research, though has applicability across all safety related domains with a long history of contributing to public safety through program evaluation and modelling.

Expertise

The team draws on research expertise in data analysis of a wide range of safety data sources, conducting highly analytical research across all injury prevention domains. They are skilled in the collection, management, analysis and presentation of safety and injury prevention data. In addition to their extensive knowledge and proficiency with using administrative datasets, the team has expertise in collecting, analysing, presenting and interpreting data collected using a range of tools including driving simulators, on-road trials, observations, surveys and focus groups analysed using the full range of modern methods.

TEAM LEAD

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RESEARCH TEAM

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Research Capabilities

  • Assessing relative vehicle safety performance from real world crash and injury data including the evaluation of new vehicle safety technologies.
  • Modelling vehicle fleet profiles and the effects of various safety and policy interventions.
  • Evaluating major road safety programs and interventions including traffic enforcement, road infrastructure, behavioural and driver licensing safety programs.
  • Road safety strategy and intervention modelling.
  • Experimental design including statistical power calculations.
  • Establishing road safety data systems and frameworks including a countermeasure monitor system and safety performance indicators.
  • Calculation and application of injury outcome metrics.
  • Analysis of risks factors determining system safety.

PROJECTS

PUBLICATIONS