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An intelligent disaster decision support system for increasing the sustainability of transport networks

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  • Abbas Rajabifard
  • Russell G. Thompson
  • Yiqun Chen

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.

Suggested Citation

  • Abbas Rajabifard & Russell G. Thompson & Yiqun Chen, 2015. "An intelligent disaster decision support system for increasing the sustainability of transport networks," Natural Resources Forum, Blackwell Publishing, vol. 39(2), pages 83-96, May.
    • Handle: RePEc:wly:natres:v:39:y:2015:i:2:p:83-96
    DOI: 10.1111/1477-8947.12070
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    1. Yang, Hai & Sasaki, Tsuna & Iida, Yasunori & Asakura, Yasuo, 1992. "Estimation of origin-destination matrices from link traffic counts on congested networks," Transportation Research Part B: Methodological, Elsevier, vol. 26(6), pages 417-434, December.
    2. Jaroszweski, David & Chapman, Lee & Petts, Judith, 2010. "Assessing the potential impact of climate change on transportation: the need for an interdisciplinary approach," Journal of Transport Geography, Elsevier, vol. 18(2), pages 331-335.
    3. Mark J. Koetse & Piet Rietveld, 2012. "Adaptation to Climate Change in the Transport Sector," Transport Reviews, Taylor & Francis Journals, vol. 32(3), pages 267-286, January.
    4. Sander Van Cranenburgh & Caspar Chorus & Bert Van Wee, 2012. "Substantial Changes and Their Impact on Mobility: A Typology and an Overview of the Literature," Transport Reviews, Taylor & Francis Journals, vol. 32(5), pages 569-597, June.
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    Cited by:

    1. Qiuhan Lin & Shuo Ding, 2023. "Analysis of Typhoon-Induced Wind Fields in Ports of the Central and Northern Taiwan Strait," Sustainability, MDPI, vol. 16(1), pages 1-17, December.

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