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Factors that affect rescue time in urban search and rescue (USAR) operations

Author

Listed:
  • M. Statheropoulos
  • A. Agapiou
  • G. Pallis
  • K. Mikedi
  • S. Karma
  • J. Vamvakari
  • M. Dandoulaki
  • F. Andritsos
  • C. Thomas

Abstract

Recent structural collapses were studied in order to identify gaps in technology and to propose priorities in enhancing urban search and rescue (USAR) tools. The timelines of the events were examined with the scope of extracting critical factors that affect rescue time and can be used to define priorities in tools and technologies development, so that efficient and fast location, recovery and treatment of victims can be achieved. In this context, seven factors were identified: (1) best practices and lessons learned, (2) rescue technology, (3) community involvement, (4) information systems, (5) technology integration, (6) crisis management and (7) available budget. Each of these factors is reviewed, analyzed and discussed with the scope of providing future developments in tools and technology for USAR operations. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • M. Statheropoulos & A. Agapiou & G. Pallis & K. Mikedi & S. Karma & J. Vamvakari & M. Dandoulaki & F. Andritsos & C. Thomas, 2015. "Factors that affect rescue time in urban search and rescue (USAR) operations," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(1), pages 57-69, January.
    • Handle: RePEc:spr:nathaz:v:75:y:2015:i:1:p:57-69
    DOI: 10.1007/s11069-014-1304-3
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    References listed on IDEAS

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    1. Patrick Lagadec, 2005. "Crisis management in the 21st century "unthinkable" events in "inconceivable" contexts," Working Papers hal-00242962, HAL.
    2. Louise Comfort & Naim Kapucu, 2006. "Inter-organizational coordination in extreme events: The World Trade Center attacks, September 11, 2001," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 39(2), pages 309-327, October.
    3. David King, 2007. "Organisations in Disaster," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 40(3), pages 657-665, March.
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    Cited by:

    1. Davood Shiri & Vahid Akbari & F. Sibel Salman, 2020. "Online routing and scheduling of search-and-rescue teams," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(3), pages 755-784, September.
    2. Maedeh Haghbin Yousefi & Behrouz Behnam & Saeideh Farahani, 2024. "An auxiliary framework to facilitate earthquake search and rescue operations in urban regions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(12), pages 11107-11131, September.
    3. Ghazaleh Ahmadi & Reza Tavakkoli-Moghaddam & Armand Baboli & Mehdi Najafi, 2022. "A decision support model for robust allocation and routing of search and rescue resources after earthquake: a case study," Operational Research, Springer, vol. 22(2), pages 1039-1081, April.
    4. Yanyan Wang & Baiqing Sun, 2022. "Multiperiod optimal emergency material allocation considering road network damage and risk under uncertain conditions," Operational Research, Springer, vol. 22(3), pages 2173-2208, July.

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