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Decision Support for Emergency Situations

In: Handbook on Decision Support Systems 2

Author

Listed:
  • Bartel Walle

    (Tilburg University)

  • Murray Turoff

    (New Jersey Institute of Technology)

Abstract

Emergency situations occur unpredictably and cause individuals and organizations to shift their focus and attention immediately to deal with the situation. When disasters become large scale, all the limitations resulting from a lack of integration and collaboration among all the involved organizations begin to be exposed and further compound the negative consequences of the event. Often in large-scale disasters the people who must work together have no history of doing so; they have not developed a trust or understanding of one another’s abilities, and the totality of resources they each bring to bear have never before been exercised. As a result, the challenges for individual or group decision support systems (DSS) in emergency situations are diverse and immense. In this contribution, we present recent advances in this area and highlight important challenges that remain.

Suggested Citation

  • Bartel Walle & Murray Turoff, 2008. "Decision Support for Emergency Situations," International Handbooks on Information Systems, in: Handbook on Decision Support Systems 2, chapter 39, pages 39-63, Springer.
    • Handle: RePEc:spr:ihichp:978-3-540-48716-6_3
    DOI: 10.1007/978-3-540-48716-6_3
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    Citations

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    Cited by:

    1. Matthijs J. Verhulst & Anne-Françoise Rutkowski, 2018. "Decision-Making in the Police Work Force: Affordances Explained in Practice," Group Decision and Negotiation, Springer, vol. 27(5), pages 827-852, October.
    2. Guido Schryen & Gerhard Rauchecker & Tina Comes, 2015. "Resource Planning in Disaster Response," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(4), pages 243-259, August.
    3. Lili Yang & Guofeng Su & Hongyong Yuan, 2012. "Design Principles of Integrated Information Platform for Emergency Responses: The Case of 2008 Beijing Olympic Games," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 761-786, September.
    4. Wex, Felix & Schryen, Guido & Feuerriegel, Stefan & Neumann, Dirk, 2014. "Emergency response in natural disaster management: Allocation and scheduling of rescue units," European Journal of Operational Research, Elsevier, vol. 235(3), pages 697-708.
    5. Turner, Jonathan P. & Qiao, Jianhong & Lawley, Mark & Richard, Jean-Philippe & Abraham, Dulcy M., 2012. "Mitigating shortage and distribution costs in damaged water networks," Socio-Economic Planning Sciences, Elsevier, vol. 46(4), pages 315-326.
    6. Pingping Cao & Jin Zheng & Mingyang Li & Yu Fu, 2023. "A Model for the Assignment of Emergency Rescuers Considering Collaborative Information," Sustainability, MDPI, vol. 15(2), pages 1-26, January.
    7. Heckmann, Iris & Comes, Tina & Nickel, Stefan, 2015. "A critical review on supply chain risk – Definition, measure and modeling," Omega, Elsevier, vol. 52(C), pages 119-132.
    8. Muhren, W.J. & Durbic, D. & van de Walle, B.A., 2010. "Exploring decision-relevant information pooling by humanitarian disaster response teams," Other publications TiSEM d918f8c6-2f4b-4765-815b-8, Tilburg University, School of Economics and Management.
    9. Baharmand, Hossein & Comes, Tina & Lauras, Matthieu, 2019. "Bi-objective multi-layer location–allocation model for the immediate aftermath of sudden-onset disasters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 86-110.
    10. Labaka, Leire & Hernantes, Josune & Sarriegi, Jose M., 2016. "A holistic framework for building critical infrastructure resilience," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 21-33.

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