Nitesh Bharosa, Sebastiaan Meijer, Marijn Janssen, & Fritjof Brave. (2010). Are we prepared? Experiences from developing dashboards for disaster preparation. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Relief agency managers show growing interest in dashboards for assessing multi-agency disaster preparedness. Yet, there is a dearth of research on the development and use of dashboards for disaster preparation. Consequently, information system architects in the disaster management domain have little guidance in developing dashboards. Here, dashboards refer to digitalized visualizations of performance indicators. In this paper, we discuss the experiences gained from an action research project on the development of dashboards for assessing disaster preparedness. The objective of this paper is to discuss experiences and tradeoffs extracted from the development of dashboards in practice. We organized a two-day gaming-simulation with relief agency managers for the evaluation of the dashboards. While the relief agency managers acknowledged the usefulness of dashboards in the disaster preparation process and expressed their intention to use these in practice, they suggested that the formulation and clustering of performance indicators requires further research.
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Loïc Bidoux, Jean-Paul Pignon, & Frédérick Bénaben. (2014). A model driven system to support optimal collaborative processes design in crisis management. 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. 245–249). University Park, PA: The Pennsylvania State University.
Abstract: This paper presents a system dedicated to support crises managers that is focused on the collaboration issues of the actors involved in the response. Based on context knowledge, decision makers' objectives and responders' capabilities, the system designs in a semi-automatic way a set of collaborative process alternatives that can optimize coordination activities during an ongoing crisis resolution. The technical design of the system mixes optimization algorithms with inference of logical rules on an ontology. Candidate processes are evaluated through multi-criteria decision analysis and proposed to the decision-makers with associated key performance indicators to help them with their choice. The overall approach is model driven through a crisis meta-model and an axiomatic theory of crisis management.
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Tim J. Grant. (2008). Checklist for comparing emergency management information systems. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 752–763). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper describes a checklist that has been developed for comparing the functionality of emergency management control centres and their information systems. The intention is to interest the ISCRAM community in using the checklist in various applications and pooling experiences. The Control Centre Visit Checklist has evolved through four iterations. It has been used to study two military C2 systems and one non-military control system, and has been applied by students for course assignments. The paper focuses on the part of the checklist that evaluates the information system from the systems viewpoint. It describes the underlying applications architecture and process model. The Royal Netherlands Army's Battlefield Management System illustrates the application of the checklist. The results show that the checklist aids in identifying where C2 systems can be developed further. The next step is to perform a set of substantial pilot studies for diverse domains, including civilian emergency management systems.
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Stefan Moellmann, David Braun, Hagen Engelmann, & Wolfgang Raskob. (2011). Key performance indicator based calculations as a decision support for the tactical level. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: For the planning of relief operations the duration and the necessary resources are key factors for a successful completion. Those factors, however, are difficult to estimate due to the large number of influencing factors in a complex crisis situation. This paper presents a software module that supports the planning by calculating the duration and the required resources for relief measures based on key performance indicators (KPI). It is part of a project called SECURITY2People aiming to develop the basics for an integrated disaster management system. The module consists of an easy to use tool to calculate the timing of a relief measure when applied to a given disaster site. In addition it contains a detailed view to display and edit the model of the selected measure which is depicted as a Gantt chart and forms the basis of the calculation. Finally, the paper describes how this module can benefit from interoperability with other modules of this project and existing systems and services.
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Heiko Roßnagel, Jan Zibuschka, & Olaf Junker. (2011). On the effectiveness of mobile service notification for passenger egress during large public events. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In this contribution we evaluate the effectiveness of mobile services for passenger egress of a train station during a large public event using an agent-based simulation approach. For this simulation we built a virtual replica of the Cologne central train station and collected empirical data on passenger numbers and their movements during a large public event. We simulate several different scenarios and compare the results using key performance indicators, such as time for egress. Our results show that dedicated cell broadcast messages under the described circumstances can be used to decrease evacuation time significantly and that the simulation can be used to quickly investigate the relevant key performance indicators needed to asses and evaluate the effectiveness of different notification and evacuation strategies.
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