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An intelligent disaster decision support system for increasing the sustainability of transport networks
Author(s) -
Rajabifard Abbas,
Thompson Russell G.,
Chen Yiqun
Publication year - 2015
Publication title -
natural resources forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.646
H-Index - 49
eISSN - 1477-8947
pISSN - 0165-0203
DOI - 10.1111/1477-8947.12070
Subject(s) - sustainability , preparedness , natural disaster , emergency management , decision support system , disaster preparedness , computer science , environmental resource management , disaster response , business , environmental planning , environmental science , geography , meteorology , ecology , artificial intelligence , political science , law , biology
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 I ntelligent D isaster D ecision S upport S ystem ( 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.