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Mirjam Merz, Valentin Bertsch, Otto Rentz, & Jutta Geldermann. (2007). Assessment of industrial asset values at risk. 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. 235–243). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In the event of natural disasters and extreme events like storms, floods and earthquakes, not only people, residential buildings and infrastructure, but also industry can be seriously affected. Direct losses to installations as well as indirect losses e.g. interruption of production can cause severe damage to companies and the economy as a whole. For a comparative and quantitative risk assessment and as a prerequisite for emergency planning and crisis management (e.g. planning of mitigation measures), a financial appraisal of industrial assets at risk is needed. This paper presents the reference installation approach which is a methodology that allows a consistent and transparent assessment of individual industrial asset values. In this bottom up approach due to the consideration of the heterogeneity of various industrial sectors, the obtained results can be depicted for a detailed spatial distribution and on a high degree of accuracy.
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Nicoletta Baroutsi. (2018). A Practitioners Guide for C2 Evaluations: Quantitative Measurements of Performance and Effectiveness. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 170–189). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: Quantitative evaluations are valuable in the strive for improvements and asserting quality. However, the field of Command & Control (C2) evaluations are hard to navigate, and it is difficult to find the correct measurement for a specific situation. A comprehensive Scoping Study was made concerning measurements of C2 performance and effectiveness. A lack of an existing appropriate framework for discussing C2 evaluations led to the development of the Crisis Response Management (CRM) Matrix. This is an analysis tool that assigns measurements into categories, and each category display unique strengths, weaknesses and trends. The analysis yielded results proving to be too rich for a single article, thusly, this is the first of two articles covering the results. In this article, the Practitioners Guide focus on results valuable for someone interested in evaluating C2. Each evaluation has specific requirements that, for best result, ought to be reflected in the chosen measurement.
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Yrjo Raivio, & Ronja Addams-Moring. (2006). Mobile emergency announcements with really simple syndication (RSS 2.0). In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 164–171). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: Broadcasting methods, such as the radio, the television and sirens, have been the main choices for delivering emergency announcements (EA)-Also called public warnings, emergency alerts or citizens warnings-during the last 60 odd years. Unfortunately, broadcast EAs do not reach all people, and the reason for the EA and the actions required can remain unclear. Today, the high penetration of personal mobile phones offers new options to authorities. As a result, a new research and implementation area, Mobile Emergency Announcement (MEA), has emerged. The GSM Short Message System (SMS) is already deployed for MEA delivery. Simultaneously, in the World Wide Web (WWW) a novel news delivery technology, called Really Simple Syndication 2.0 (RSS) is spreading. This paper describes a concept for how RSS can be harnessed for MEA use. First, MEA requirements are briefly reviewed. Second, the eXtended Markup Language (XML) based Common Alerting Protocol (CAP) and the syndication protocol RSS 2.0 are presented. Third, the central implementation issues are presented. Finally, the proposed solution is critically reviewed.
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Tom Ritchey. (2006). Modeling multi-hazard disaster reduction strategies with computer-Aided morphological analysis. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 339–346). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: Disaster Risk Management (DRM) is a multi-dimensional problem complex requiring knowledge and experience from a wide range of disciplines. It also requires a methodology which can collate and organize this knowledge in an effective, transparent manner. Towards this end, seven specialists from the social, natural and engineering sciences collaborated in a facilitated workshop in order to develop a prototype multi-hazard disaster reduction model. The model, developed with computer-Aided morphological analysis (MA), makes it possible to identify and compare risk reduction strategies, and preparedness and mitigation measures, for different types of hazards. Due to time constraints, the model is neither complete nor accurate-but only represents a proof-of-principle. The workshop was sponsored by the Earthquake Disaster Mitigation Research Center (EDM) in Kobe, in January, 2005.
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Siegfried Streufert. (2005). Emergency decision making and metacomplexity. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 67–73). Brussels: Royal Flemish Academy of Belgium.
Abstract: It is important to understand the cognitive processes underlying emergency decision-making. Cognitive/behavioral complexity theory has successfully predicted human decision making characteristics on a number of dimensions and for a variety of settings. Moreover, theory based training technologies have been successful. The advent of meta-complexity theory as well as the increased stressor levels generated by terrorism and other contemporary challenges, however, require that we review and extend theoretical predictions for decision processes. This paper provides a series of meta-complexity based predictions about the impact of stressor events upon nine primary decision making areas that vary from simpler trough highly complex thought and action processes.
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Thomas Kox. (2015). Criteria affecting people?s decision to take protective measures during winter storm XAVER on 5 December 2013. 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 discusses the impact of different dimensions of risk perception on people?s decision to take protective measures against natural hazards. Initial basis of the analysis was the winter storm XAVER which affected huge parts of Northern Europe including Berlin, Germany on 5 December 2013. Preliminary results of a representative online survey within the Berlin population show that affective variables such as fear of severe weather and confidence in weather forecasts showed a significant effect on people?s decision to take protective action. Contrary, high experience of natural hazards did not necessarily lead to action.
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Till Sahlmüller, & Bernd Hellingrath. (2022). Measuring the Resilience of Supply Chain Networks. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 55–67). Tarbes, France.
Abstract: With increasing supply chain complexity, it gets more likely that disruptions ripple through the supply chain network, affecting supply chain performance. As the severity of disruptions depends on the supply chain network structure, it is important to assess the network structure in terms of its resilience. This article presents the results of a literature review (LR) to provide a comprehensive overview of measures used for evaluating the resilience of supply chain networks. The results indicate a wide range of measures applied in literature, focusing on either nodes, paths, or subgraphs of the network. The identified measures are compared regarding the structural characteristics they study and the aspects of supply chain performance they investigate.
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Sébastien Tremblay, Peter Berggren, Martin Holmberg, Rego Granlund, Marie-Eve Jobidon, & Paddy Turner. (2012). A multiteam international simulation of joint operations in crisis response. 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: Concepts such as trust, shared understanding, cultural differences, mental workload, and organizational structure all impact upon the effectiveness of an organization (e.g., Tindale & Kameda, 2000), and even more so in the context of large scale multinational operations (e.g, Smith, Granlund, & Lindgen, 2010). In order to study these concepts we plan a multinational, distributed experiment with participants from three nations collaborating in the same virtual environment: Canadian, British, and Swedish participants will work together as part of a multinational MTS to deal with a complex task and gain control of a crisis situation. Empirical research on MTS remains limited (see, e.g., DeChurch & Marks, 2006) particularly at the multinational level where the investigation of MTS has been so far focused on case studies and exercises (e.g., Goodwin, Essens, & Smith, 2012). Therefore, there is a need to empirically study multinational MTS in order to assess the specific issues that multinational operations face, notably cultural and languages differences. The simulation environment used as experimental platform for this project is C3Fire (www.c3fire.org, Granlund & Granlund, 2011). C3Fire creates an environment whereby teams must work together to resolve a crisis in the firefighting domain, with the goal of evacuating people in critical areas, putting out the forest fire, and protecting buildings and other areas of value from the burning forest fire. This platform makes it possible to study participants' collaborative processes when dealing with a set of crisis scenarios in the context of a simulated emergency response situation. To deal efficiently with the crisis management operation, participants need to prioritize between different objectives, identify and protect critical areas, and plan and implement activities based on given resources. All these tasks are distributed between team members, compelling participants to exchange information and coordinate within and between teams to execute the task. The task is divided into three areas of responsibility as follows: 1) Information and Planning, responsible for situation assessment and providing the operating picture; 2) Operation and Logistic, responsible for intervention and resource management; and 3) Search and Rescue, responsible for research and management of civilians. C3Fire is designed to: 1) achieve an optimal compromise between internal and external validity; 2) show flexibility in scenario configuration (spectrum of units and roles – including search and rescue functions; Tremblay et al., 2010), allowing researchers to capture emergency response and crisis management and rapid response planning; 3) be highly configurable for testing many different types of teams (e.g., hierarchical vs. horizontal organizations); and 4) readily provide objective, non-intrusive metrics for assessing teamwork effectiveness (including macrocognitive functions and team processes) as well as quantitative measures of task performance (that take into account conflicting mission goals). © 2012 ISCRAM.
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Catrinel Turcanu, Benny Carlé, & Philippe Vincke. (2004). Structuring stakeholders' involvement in radiological crisis management: A multicriteria decision aid approach for countermeasure evaluation. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management (pp. 115–120). Brussels: Royal Flemish Academy of Belgium.
Abstract: Stakeholders represent a valuable source of knowledge, which should be used in steering the emergency response during a radiological crisis. This can be achieved in a multi-criteria decision aid framework, the potential benefits of which are highlighted in the paper: consideration of all relevant factors, problem structuring, better insight in the decision process, and support for decision-makers to justify the chosen countermeasure strategies. © Proceedings ISCRAM 2004.
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Adam Widera, Hanns-Alexander Dietrich, Bernd Hellingrath, & Jörg Becker. (2013). Understanding humanitarian supply chains – Developing an integrated process analysis toolkit. 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. 210–219). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: In this paper we present the development of an integrated process analysis toolkit for humanitarian logistics. The toolkit integrates a conceptual and a technological component. Our approach follows a case study-based modeling and design approach. The developed concept was evaluated in two humanitarian organizations. Based on these results we extended and integrated the tool-supported process analysis approach, which is ready to use for the structural and quantitative analysis of humanitarian logistics processes. The toolkit can be applied in humanitarian organizations as a decision support tool for designing, planning and executing their logistics processes. Thus, the application affects the preparedness of humanitarian organizations as well as their response performance. The process analysis toolkit is embedded in an overall research agenda with the objective to provide humanitarian organizations with the capabilities to identify, monitor, and improve their logistics processes respecting the organization specific objectives.
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Karolina A. Wojciechowska, & Berend Vreugdenhil. (2012). Integration of uncertainty into emergency procedures of water boards. 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: In the Netherlands, Royal Dutch Meteorological Institute warns water boards for extreme rainfall if per-specified thresholds are (expected to be) exceeded. When a water board receives a warning, certain response measures can be taken. In general, the thresholds are based on experience and intuition. Clear procedures, which describe decision-making under uncertainty in available information (e.g., forecasted rainfall), do not exist. In this document, first results of the project “Extreme weather for water boards” are briefly described. The aim of this project is to study integration of the uncertainty into emergency procedures of the water boards. The current emergency procedures of two water boards are analyzed. Recommended adjustments to the procedures allow including the uncertainty by estimation of a probability of overload and cost-benefit analysis of response measures (benefit as avoided damage). A simple scheme that supports estimation of the probability is introduced. © 2012 ISCRAM.
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Wolfgang Raskob, Stefan Wandler, & Evgenia Deines. (2015). Agent-based modelling to identify possible measures in case of Critical Infrastructure disruption. 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: Understanding critical infrastructures and in particular protecting them in case of natural or man-made threats or disasters is the objective of our research. As use case, the security of the power supply in the year 2030 for the city of Karlsruhe was selected. This scenario contains interdependencies between the electrical power grid and IT components as well as critical infrastructures such as water supply and health care. To simulate the critical infrastructure, their dependencies and potential measures to mitigate effects, agent based simulation models have been developed and applied. The ultimate objective of the research activity is to develop a holistic analysis framework to quantify and evaluate requirements and design decisions of the many players in such complex infrastructures.
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