An intelligent disaster decision support system for increasing the sustainability of transport networks |
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| Authors: | Abbas Rajabifard Russell G Thompson Yiqun Chen |
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| Affiliation: | The University of Melbourne, Infrastructure Engineering, Melbourne, Victoria, Australia |
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| Abstract: | The increase in extreme weather events arising from climate change is posing serious threats to the sustainability of transport systems, creating the need for improved tools for decision support for more effectively managing natural disasters. There are numerous transport‐related decisions that are required during the response, recovery and preparedness stages of the disaster management cycle. This paper describes the development and application of the Intelligent Disaster Decision Support System (IDDSS), which provides a platform for integrating a vast range of road network, traffic, geographic, economic and meteorological data, as well as dynamic disaster and transport models. Initial applications to the response and planning for floods and fires are presented to illustrate some of its capabilities. The IDDSS can be used to improve disaster management, which in turn will increase the sustainability of transport networks. |
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| Keywords: | Sustainable transport disaster management decision support systems DSS Melbourne |
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