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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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Rianne Gouman, Masja Kempen, & Niek Wijngaards. (2010). Actor-agent team experimentation in the context of incident management. 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: The collaboration between humans (actors) and artificial entities (agents) can be a potential performance boost. Agents, as complementary artificial intelligent entities, can alleviate actors from certain activities, while enlarging the collective effectiveness. This paper describes our approach for experimentation with actors, agents and their interaction. This approach is based on a principled combination of existing empirical research methods and is illustrated by a small experiment which assesses the performance of a specific actor-agent team in comparison with an actor-only team in an incident management context. The REsearch and Simulation toolKit (RESK) is instrumental for controlled and repeatable experimentation. The indicative findings show that the approach is viable and forms a basis for further data collection and comparative experiments. The approach supports applied actor-agent research to show its (dis)advantages as compared to actor-only solutions.
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Flávio E. A. Horita, Maria C. Fava, Eduardo M. Mendiondo, Jairo Rotava, Vladimir C. Souza, Jo Ueyama, et al. (2014). AGORA-GeoDash: A geosensor dashboard for real-time flood risk monitoring. 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. 304–313). University Park, PA: The Pennsylvania State University.
Abstract: Flood management is an important approach to reduce damage caused by floods. In this context, technological architectures which work in real-time are needed. However, Brazil has faced many structural difficulties in obtaining updated information on the current state of its rivers. To address this problem, this paper outlines a geosensor dashboard called AGORA-GeoDash, which processes data streams from wireless sensor networks and makes them available in the form of a set of performance indicators that are essential to support real-time decision-making in flood risk monitoring. The dashboard was built on open-source frameworks, made use of geoservices that comply with the standards of Open Geospatial Consortium, and established a Wireless Sensor Network which monitors the rivers of São Carlos/SP in Brazil. The analysis of the indicators available in two rainfall events revealed that the dashboard can provide the key information required for the decision-making process involved in flood risk management.
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Jeremy Hutchings. (2006). Developing performance measures as part of an integrated approach to conservation management of cultural heritage assets. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 362–375). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: For sustainable care of cultural heritage it is essential to set accurate goals. However, the difficulty involved in establishing what is accurate in any given circumstance is often highly underestimated. Unbalanced decision making based on partial consideration of the situation surrounding a cultural heritage asset can at best result in inefficient use of resources and at worst will lead to its rapid loss. But the balance of risk against benefit is not straightforward, the impact of certain activities are far easier to quantify than others. Consequently, the adoption of a well balanced approach that considers all activities equally within the same framework is the key to providing appropriate and sustainable levels of protection. The development of an appropriate and systematic methodology offers a resolution to this problem. The outcome will be a suite of performance indicators assigned to each activity within a multivariate management framework. This paper describes the development and validation of such a methodology and the current status of the author's research.
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Laura Laguna Salvadó, Matthieu Lauras, & Tina Comes. (2017). Sustainable Performance Measurement for Humanitarian Supply Chain Operations. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 775–783). Albi, France: Iscram.
Abstract: This paper proposes a performance measurement definition to consider sustainable development principles in the humanitarian supply chain operations (source, make, deliver). Previous research has shown the challenge for humanitarian organizations to consider the three sustainability pillars people, planet and profit in their decision-making processes. Based on field research with the International Federation of the Red Cross and Red Crescent (IFRC) and a literature review on humanitarian performance measurement and sustainability, we define a set of criteria, objectives and Key Performance Indicators that translates sustainability concepts to concrete humanitarian operations. Based on the Triple Bottom Line approach, the environmental and social dimensions are added to the economic dimension, which is standard in HSC literature and practice. The aim of this study is to set the basis for a Decision Support System (DSS) in operations planning.
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Robert Lawatscheck, Stephan Düsterwald, Carsten Wirth, & Torsten Schröder. (2012). ALARM: A modular IT solution to support and evaluate mass casualty incident (MCI) management. 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: ALARM is a modular IT-solution to support emergency medical service (EMS) providers and rescue staff in mass casualty incident response and training. Seven modules were implemented, covering the entire process from preliminary triage, treatment support and resource management to tactical information and registration. Communication technology is used to close information and documentation gaps. The system uses medical algorithms and telemedicine to improve patient treatment. The ALARM system generates logs automatically including procedural time stamps and outcome factors such as triage and transport categories. This allows an objective analysis and comparison of missions and opens a new approach to evidence based MCI management and training. © 2012 ISCRAM.
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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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