The planning and managing transport systems for extreme events through spatial enablement project is aimed at creating required theoretical and practical frameworks for constructing a decision support systems that produce plans for reducing the effects of extreme events on road networks are currently not available. Researchers and administrators are calling for robust tools to identify the optimal schedule of mitigation measures implemented at vulnerable locations to reduce the degradation of networks in response to threats from climate change. There is an urgent need for a robust, reliable, and practical tool to assess the vulnerability of road transport system considering both transport and structural health vulnerabilities of transport system in one integrated platform.
The key objectives of the project are:
- To identify the most cost- effective treatment programs for strengthening existing roadways and bridges in preparation for a range of extreme events with the goal of maximising the road network resilience.
- To develop an integrated spatially enabled information platform to facilitate the identification of the affected transport system and improve efficiency of road transport planning for a given range of extreme events (i.e. flood and earthquake)
- To identify the most cost effective program for planning major new transport infrastructure initiatives with the goal of maximising road transport network resilience for various disasters
The major deliverables of this unique research include a suite of transport network demand and supply models, an integrated spatially (location) enabled information platform as a common infrastructure to facilitate the road transport planning and identify the disaster affected transport elements, an evaluation system to determine the best technologies for monitoring the health and condition of roads and bridges, and a set of optimisation models to identify the best schedule for strengthening and repair works. The methods developed will enable the next generation of road networks in Australia to have higher levels of adaptation and resilience.
Professor Abbas Rajabifard, Professor Majid Sarvi, Associate Professor Russell Thompson, Hendrik Zurlinden, Dr Benny Chen, Arash Kaviani, Saeed Bagloee, Yan Li
VicRoads, The Shire of Mornington Peninsula