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Murray Turoff, Victor A. Bañuls, Linda Plotnick, Starr Roxanne Hiltz, & Miguel Ramirez de la Huerga. (2015). Collaborative Evolution of a Dynamic Scenario Model for the Interaction of Critical Infrastructures. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: This paper reviews current work on a model of the cascading effects of Critical Infrastructure (CI) failures during disasters. Based upon the contributions of 26 professionals, we have created a reliable model for the interaction among sixteen CIs. An internal CI model can be used as a core part of a number of larger models, each of which are tailored to a specific disaster in a specific location.
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Beate Rottkemper, & Kathrin Fischer. (2013). Decision making in humanitarian logistics – A multi-objective optimization model for relocating relief goods during disaster recovery operations. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 647–657). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Disaster recovery operations rarely proceed smoothly and disruptions often require the redistribution of relief items. Such a redistribution has to be carried out taking into account both the current disruption and the uncertainty regarding possible future incidents in the respective area. As decisions have to be made fast in humanitarian operations, extensive optimization runs cannot be conducted in such a situation. Nevertheless, sensible decisions should be made to ensure an efficient redistribution, considering not only satisfaction of needs but also operational costs, as the budget is usually scarce in the recovery phase of a disaster. In this work, different scenarios are generated and then solved with a multiobjective optimization model to explore possible developments. By evaluating the results of these scenarios, decision rules are identified which can support the decision maker in the actual disaster situation in making fast, but nevertheless well-founded, decisions.
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Murray Turoff, Victor A. Bañuls, Linda Plotnick, & Starr Roxanne Hiltz. (2014). Development of a dynamic scenario model for the interaction of critical infrastructures. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 414–423). University Park, PA: The Pennsylvania State University.
Abstract: This paper summarizes the development of a Cross Impact and Interpretive Structural Model of the interactions of 16 critical infrastructures during disasters. It is based on the estimates of seven professionals in Emergency Management areas and was conducted as an online survey and Delphi Process. We describe the process used and the current results, indicating some of the disagreements in the estimates. The initial results indicate some very interesting impacts of events on one another, resulting in the clustering of events into mini-scenarios.
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