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Philippe Kruchten, Carson Woo, Kafui Monu, & Mandana Sotoodeh. (2007). A human-centered conceptual model of disasters affecting critical infrastructures. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 327–344). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Understanding the interdependencies of critical infrastructures (power, transport, communication, etc.) is essential in emergency preparedness and response in the face of disasters. Unfortunately, many factors (e.g., unwillingness to disclose or share critical data) prohibited the complete development of such an understanding. As an alternative solution, this paper presents a conceptual model-an ontology-of disasters affecting critical infrastructures. We bring humans into the loop and distinguish between the physical and social interdependencies between infrastructures, where the social layer deals with communication and coordination among representatives (either humans or intelligent agents) from the various critical infrastructures. We validated our conceptual model with people from several different critical infrastructures responsible for disasters management. We expect that this conceptual model can later be used by them as a common language to communicate, analyze, and simulate their interdependencies without having to disclose all critical and confidential data. We also derived tools from it.
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Kui Wang, Jose Marti, Ming Bai, & K.D. Srivastava. (2012). Optimal decision maker algorithm for disaster response management with I2Sim applications. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: Disaster response management has become an important area of research in recent years, with authorities spending more resources in the area. Infrastructure resource interdependencies are key critical points for a system to operate optimally. After a disaster occurs, infrastructures would have sustained certain degrees of damage, the allocation of limited resources to maximize human survival becomes a top priority. The I2Sim (Infrastructures Interdependencies Simulator) research group at the University of British Columbia (UBC) has developed a software simulation toolbox to help authorities plan for disaster responses. This paper presents an optimization decision algorithm based on Lagrange multipliers, which provides the theoretical basis for I2Sim software decision maker layer. There is a simple scenario of three hospitals constructed with the I2Sim toolbox to illustrate the interdependencies of water and electricity. © 2012 ISCRAM.
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Rae Zimmerman, & Carlos E. Restrepo. (2006). Information technology (IT) and critical infrastructure interdependencies for emergency response. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 382–385). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: Information technologies and other critical infrastructures are interconnected in ways that can lead to vulnerabilities in the ability of these infrastructures to perform during natural disasters and acts of terrorism either to reduce adverse consequences or provide needed emergency response services. This research applies and adapts a number of indicators of infrastructure interdependency based on the authors' earlier research to determine where weak points and strengths occur in the interconnections between infrastructure technology and other infrastructure support services such as electric power and transportation, and where weak points create vulnerability that can be improved for more effective response in emergencies.
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