Advancing cycling as an active transport mode using data driven approaches. This research program aims to provide the critical evidence that is needed to advance cycling as an active and sustainable mode of transport. Through interdisciplinary research and multi-national collaborations, the program will develop a world-leading data platform that will monitor, inform and evaluate cycling, and use this platform to provide the evidence that is needed to enhance cycling participation, safety and inf ....Advancing cycling as an active transport mode using data driven approaches. This research program aims to provide the critical evidence that is needed to advance cycling as an active and sustainable mode of transport. Through interdisciplinary research and multi-national collaborations, the program will develop a world-leading data platform that will monitor, inform and evaluate cycling, and use this platform to provide the evidence that is needed to enhance cycling participation, safety and infrastructure. The outcomes of the research will revolutionise our ability to implement safe and connected cycling infrastructure in areas of greatest need, leading to reduced injury, greater equity and wider uptake of cycling as a mode of transport, thereby leading to substantial gains in population and environmental health.Read moreRead less
Modelling the population impact of injury. This project aims to model the long-term, population impact of non-fatal injury through the use of cutting edge epidemiological modelling, sophisticated biostatistics, advanced econometrics, and geospatial analysis. The project will use population-based, linked longitudinal data to generate new knowledge about the long-term impacts of injury, cost of injury, and expected burden into the future. Through the multi-disciplinary and multi-national collabo ....Modelling the population impact of injury. This project aims to model the long-term, population impact of non-fatal injury through the use of cutting edge epidemiological modelling, sophisticated biostatistics, advanced econometrics, and geospatial analysis. The project will use population-based, linked longitudinal data to generate new knowledge about the long-term impacts of injury, cost of injury, and expected burden into the future. Through the multi-disciplinary and multi-national collaborations established, it is anticipated that this project may lead to future changes in public health and social policy, prioritisation of injury prevention efforts, and establish the capacity to evaluate injury interventions and policy shifts as they occur.Read moreRead less