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Author Hagen Engelmann; Frank Fiedrich
Title Decision support for the members of an emergency operation centre after an earthquake Type Conference Article
Year 2007 Publication (up) Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers Abbreviated Journal ISCRAM 2007
Volume Issue Pages 317-326
Keywords Decision making; Disaster prevention; Disasters; Earthquakes; Human computer interaction; Intelligent agents; Multi agent systems; Collaborative research; Complex environments; Decision making process; Decision supports; Emergency operations; Optimal resource allocation; RPD model; User friendly interface; Decision support systems
Abstract The first three days after an earthquake disaster demand good decisions in a very complex environment. Members of emergency operation centres (EOC) have to make decisions with limited information and under high time pressure. But the first 72 hours of disaster response activities are essential to minimize loss of life. Within the interdisciplinary German Collaborative Research Center 461: “Strong Earthquakes: A Challenge for Geosciences and Civil Engineering” a so-called Disaster Management Tool (DMT) is under development which presents some ideas for appropriate solutions to this problem. One module of the DMT will provide decision-support for the members of an EOC based on the Recognition-Primed Decision (RPD) model, a description of the decision-making process of persons in real-world settings. Options for a reasonable computer-based decision support for the RPD process will be discussed. For this the system combines a simulation of the disaster environment with a multi-agent system (MAS). The simulation shows the results of different decisions so the decision-makers can evaluate them. The MAS calculates a solution for optimal resource allocation taking into account current available information. The goal of the ongoing work is to integrate these instruments into a user-friendly interface considering the real life needs of decision-makers in an EOC.
Address Institute for Technology and Management in Construction, Karlsruhe University, Karlsruhe, Germany; Institute for Crisis, Disaster, and Risk Management, George Washington University, Washington, DC, United States
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Delft Editor B. Van de Walle, P. Burghardt, K. Nieuwenhuis
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9789054874171; 9789090218717 Medium
Track ASCM Expedition Conference 4th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 477
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Author Juan Godoy
Title A holistic approach to emergency evacuation information support systems Type Conference Article
Year 2007 Publication (up) Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers Abbreviated Journal ISCRAM 2007
Volume Issue Pages 345-354
Keywords Human resource management; Interface states; Systems engineering; Critical component; Emergency evacuation; Emergency operations; Emergency operations centers; Information support systems; Management systems; Mitigation measures; Public information; Information management
Abstract In the USA the basic objective of local and state government's Emergency Operations Plans (EOP) is to implement mitigation measures to reduce the loss of life and property damage by the efficient mobilization and deployment of resources. The evacuation of citizens out of harms way either before an impeding disaster or after the occurrence of one is a critical component of any EOP. This document represents a summary of the Evacuation Plan designed for the City of New Orleans. Results of live field exercises conducted during the 2006 Hurricane Season and suggestions for improvement will be highlighted. The ideal Emergency Evacuation Tracking System will be designed to operate within a System of Systems framework with interfaces: to field personnel, emergency managers and logisticians operating in an Emergency Operations Center (EOC), with state and local government systems such as public information emergency hotline (311 Centers in the USA), asset tracking management systems and others.
Address Unisys Corporation, United States
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Delft Editor B. Van de Walle, P. Burghardt, K. Nieuwenhuis
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9789054874171; 9789090218717 Medium
Track ASCM Expedition Conference 4th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 529
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Author Johan Jenvald; Michael Morin; Toomas Timpka; Henrik Eriksson
Title Simulation as decision support in pandemic influenza preparedness and response Type Conference Article
Year 2007 Publication (up) Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers Abbreviated Journal ISCRAM 2007
Volume Issue Pages 295-304
Keywords Decision making; International cooperation; Models; Population statistics; Decision supports; Local community; Pandemic influenza; Preparedness; Response; Simulation; Workflow; Decision support systems
Abstract Outbreak of a destructive pandemic influenza threatens to disrupt societies worldwide. International agencies and national governments have prepared plans and recommendations, but it is often decision-makers with the local authorities that are responsible for implementing the response. A central issue for these decision makers is what interventions are available and effective for the specific local community. The paper presents a simulator architecture and its relation to a workflow for decision support in influenza preparedness and response. The simulator can simulate pandemic scenarios, using localized community models, in the presence of various interventions to support an evaluation of potential response strategies. The architecture includes a customized modeling tool, separated from the simulation engine, which facilitates swift scenario modification and recalculation. This flexibility is essential both to explore alternative solutions in planning, and to adapt to changing requirements, information, and resources in outbreak response. An example simulation, based on actual population data from a reference city, illustrates the approach.
Address VSL Research Labs, Linköping, Sweden; Dept. of Social Medicine and Public Health, Linköping University, Linköping, Sweden; Dept. of Computer and Information Science, Linköping University, Linköping, Sweden
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Delft Editor B. Van de Walle, P. Burghardt, K. Nieuwenhuis
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9789054874171; 9789090218717 Medium
Track ASCM Expedition Conference 4th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 628
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Author Philippe Kruchten; Carson Woo; Kafui Monu; Mandana Sotoodeh
Title A human-centered conceptual model of disasters affecting critical infrastructures Type Conference Article
Year 2007 Publication (up) Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers Abbreviated Journal ISCRAM 2007
Volume Issue Pages 327-344
Keywords Civil defense; Critical infrastructures; Disaster prevention; Disasters; Intelligent agents; Ontology; Conceptual modelling; Disaster management; Emergency preparedness; Infrastructure interdependencies; Meta model; Uml; Public works
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.
Address Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada; Sauder School of Business, University of British Columbia, Vancouver, Canada
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Delft Editor B. Van de Walle, P. Burghardt, K. Nieuwenhuis
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9789054874171; 9789090218717 Medium
Track ASCM Expedition Conference 4th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 662
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Author Stephen Potter; Yannis Kalfoglou; Harith Alani; Michelle Bachler; Simon Buckingham Shum; Rodrigo Carvalho; Ajay Chakravarthy; Stuart Chalmers; Sam Chapman; Beibei Hu; Alun Preece; Nigel Shadbolt; Austin Tate; Mischa Tuffield
Title The application of advanced knowledge technologies for emergency response Type Conference Article
Year 2007 Publication (up) Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers Abbreviated Journal ISCRAM 2007
Volume Issue Pages 361-368
Keywords Artificial intelligence; Decision support systems; Decision supports; Emergency response; Intelligent messaging; Semantic technologies; Sensemaking; Emergency services
Abstract Making sense of the current state of an emergency and of the response to it is vital if appropriate decisions are to be made. This task involves the acquisition, interpretation and management of information. In this paper we present an integrated system that applies recent ideas and technologies from the fields of Artificial Intelligence and semantic web research to support sense-and decision-making at the tactical response level, and demonstrate it with reference to a hypothetical large-scale emergency scenario. We offer no end-user evaluation of this system; rather, we intend that it should serve as a visionary demonstration of the potential of these technologies for emergency response.
Address University of Edinburgh, United Kingdom; University of Southampton, United Kingdom; Open University, United Kingdom; University of Sheffield, United Kingdom; University of Aberdeen, United Kingdom
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Delft Editor B. Van de Walle, P. Burghardt, K. Nieuwenhuis
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9789054874171; 9789090218717 Medium
Track ASCM Expedition Conference 4th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 852
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Author Alexander Smirnov; Mikhail Pashkin; Nikolay Shilov; Tatiana Levashova
Title Intelligent support of context-based megadisaster management: Hybrid technology and case study Type Conference Article
Year 2007 Publication (up) Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers Abbreviated Journal ISCRAM 2007
Volume Issue Pages 305-316
Keywords Decision support systems; Hurricanes; Constraint Satisfaction; Context management; Decision supports; Humanitarian logistics; Hybrid technology; Intelligent decision making; Intelligent support; Ontology management; Decision making
Abstract The situation with the hurricane Katrina showed that the conventional tiered response to disaster event, whereby state and local officials are responsible for the first few days, does not work well in case of megadisasters (massive hurricanes, earthquakes, large-scale acts of terrorism, etc.). Such situations require application of new technologies for preparing the operation, interoperability between the operation participants, and decision support for officials. Here presented approach proposes a context-driven decision support schema based on integration of such technologies as context & ontology management and constraint satisfaction. The application of the approach is illustrated via a case study of a portable hospital arrangement.
Address St.Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, St.Petersburg, Russian Federation
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Delft Editor B. Van de Walle, P. Burghardt, K. Nieuwenhuis
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9789054874171; 9789090218717 Medium
Track ASCM Expedition Conference 4th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 958
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Author Tomoichi Takahashi
Title Agent-based disaster simulation evaluation and its probability model interpretation Type Conference Article
Year 2007 Publication (up) Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers Abbreviated Journal ISCRAM 2007
Volume Issue Pages 369-376
Keywords Disasters; Probability; Agent based simulation; Agent based social simulation; Agent-based approach; Agent-based social simulations; Disaster simulation; Evaluation method; Local government; Probability modeling; Computer simulation
Abstract Agent-based simulations enable the simulation of social phenomenon by representing human behaviors using agents. Human actions such as evacuating to safe havens or extinguishing fires in disaster areas are important during earthquakes. The inclusion of human actions in calculating the damage at disaster sites provides useful data to local governments for planning purposes. In order to practically apply these simulation results, these results should be tested using actual data. Further, these results should be analyzed and explained in a manner that people who are not agent programmers can also understand easily. First, the possibility of applying agent-based approaches to social tasks is shown by comparing the simulation results with those obtained from other methods. Next, we propose a method to present agent behaviors using a probability model and discuss the results of applying this method to the RoboCup Rescue simulation data. These will delve into future research topics for developing agent based social simulations to practical ones.
Address Meijo University, Japan
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Delft Editor B. Van de Walle, P. Burghardt, K. Nieuwenhuis
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9789054874171; 9789090218717 Medium
Track ASCM Expedition Conference 4th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 988
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Author Gerhard Wickler; Austin Tate; Stephen Potter
Title Integrating discrete event and process-level simulation for flexible training in the I-X framework Type Conference Article
Year 2007 Publication (up) Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers Abbreviated Journal ISCRAM 2007
Volume Issue Pages 355-359
Keywords Discrete event simulation; Information systems; Personnel training; Activity modeling; Agent Framework; Discrete-event simulators; Emergency response; Flexible trainings; Fully integrated; HTN planning; Training scenario; Emergency services
Abstract The aim of this paper is to describe I-Sim, a simulation tool that is a fully integrated part of the underlying agent framework, I-X. I-Sim controls a discrete event simulator, based on the same activity model that is shared between all I-X components, and multiple process-level simulators that model the continuous change caused by actions that are considered as primitives by the rest of the system. The primary purpose of this tool is to support instructors during exercises that are used for training in emergency response. The main advantage the I-Sim tool gives the instructors is flexibility, allowing them to orchestrate and modify existing training scenarios on the fly, adapting them to trainees' needs as required.
Address AIAI, University of Edinburgh, United Kingdom
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Delft Editor B. Van de Walle, P. Burghardt, K. Nieuwenhuis
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9789054874171; 9789090218717 Medium
Track ASCM Expedition Conference 4th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 1086
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