Records |
Author |
Mihoko Sakurai; Jose J Gonzalez; Richard T. Watson; Jiro Kokuryo |
Title |
A Capital Model for Disaster Resilience |
Type |
Conference Article |
Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
Volume |
|
Issue |
|
Pages |
|
Keywords |
Resilience; Capital Conversion; Great East Japan Earthquake; System Dynamics; Simulation |
Abstract |
This paper proposes a capital model for disaster resilience. A central notion to this effect is viewing an organization as a capital conversion and capital creation system (Mandviwalla et al. 2014). Systems resilience was originally defined as the measure of a system?s persistence and ability to absorb disturbances (Holling 1973). Our approach corresponds to ?resilience-1; Resilience as rebound from trauma and return to equilibrium as,? which according to Woods (2015) is one of the four main categories of disaster resilience. We develop a system dynamics model expressing the main features observed in selected municipalities affected by the Great East Japan Earthquake. We show that the model is able to describe qualitatively the processes of capital destruction by the earthquake with the associated tsunami and the subsequent capital recreation. We discuss how the system dynamics model can be used to further increase our understanding of capital conversion processes in disaster resilience. |
Address |
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Corporate Author |
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Thesis |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
|
ISSN |
2411-3411 |
ISBN |
978-84-608-7984-32 |
Medium |
|
Track |
Planning, Foresight and Risk Analysis |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
|
Serial |
1351 |
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Author |
Mauro Falasca; Christopher W. Zobel; Deborah Cook |
Title |
A decision support framework to assess supply chain resilience |
Type |
Conference Article |
Year |
2008 |
Publication |
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2008 |
Volume |
|
Issue |
|
Pages |
596-605 |
Keywords |
Artificial intelligence; Decision support systems; Disasters; Information systems; Inventory control; Decision framework; Decision support framework; Quantitative approach; Resilience; Simulation; Supply chain design; Supply chain resiliences; Supply chain systems; Supply chains |
Abstract |
Our research is aimed at developing a quantitative approach for assessing supply chain resilience to disasters, a topic that has been discussed primarily in a qualitative manner in the literature. For this purpose, we propose a simulation-based framework that incorporates concepts of resilience into the process of supply chain design. In this context, resilience is defined as the ability of a supply chain system to reduce the probabilities of disruptions, to reduce the consequences of those disruptions, and to reduce the time to recover normal performance. The decision framework incorporates three determinants of supply chain resilience (density, complexity, and node criticality) and discusses their relationship to the occurrence of disruptions, to the impacts of those disruptions on the performance of a supply chain system and to the time needed for recovery. Different preliminary strategies for evaluating supply chain resilience to disasters are identified, and directions for future research are discussed. |
Address |
Dept. of Business Information Technology, R.B. Pamplin College of Business, Virginia Polytechnic Institute and State University, Blacksburg VA, 24061, United States |
Corporate Author |
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Thesis |
|
Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Washington, DC |
Editor |
F. Fiedrich, B. Van de Walle |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9780615206974 |
Medium |
|
Track |
Impact of Disasters on Industry and Economic Effects |
Expedition |
|
Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
|
Serial |
481 |
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Author |
Shengcheng Yuan; Yi Liu; Gangqiao Wang; Hongshen Sun; H. Zhang |
Title |
A dynamic-data-driven driving variability modeling and simulation for emergency evacuation |
Type |
Conference Article |
Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
Volume |
|
Issue |
|
Pages |
70-74 |
Keywords |
Computer simulation; Decision making; Information systems; Accurate prediction; Adaptive simulation; Decision making support; Driving variability; Emergency evacuation; Emergency situation; Microscopic traffic simulation; Variability model; Traffic control |
Abstract |
This paper presents a dynamic data driven approach of describing driving variability in microscopic traffic simulations for both normal and emergency situations. A four-layer DGIT (Decision, Games, Individual and Transform) framework provides the capability of describing the driving variability among different scenarios, vehicles, time and models. A four-step CCAR (Capture, Calibration, Analysis and Refactor) procedure captures the driving behaviors from mass real-time data to calibrate and analyze the driving variability. Combining the DGIT framework and the CCAR procedure, the system can carry out adaptive simulation in both normal and emergency situations, so that be able to provide more accurate prediction of traffic scenarios and help for decision-making support. A preliminary experiment is performed on a major urban road, and the results verified the feasibility and capability of providing prediction and decision-making support. |
Address |
Institute of Public Safety Research, Tsinghua University, Beijing, China; Department of Engineering Physics, Tsinghua University, Beijing, China |
Corporate Author |
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Thesis |
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Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
|
Track |
Analytic Modeling and Simulation |
Expedition |
|
Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
|
Serial |
1137 |
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Author |
Sarp Yeletaysi; Frank Fiedrich; John R. Harrald |
Title |
A framework for integrating GIS and systems simulation to analyze operational continuity of the petroleum supply chain |
Type |
Conference Article |
Year |
2008 |
Publication |
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2008 |
Volume |
|
Issue |
|
Pages |
586-595 |
Keywords |
Critical infrastructures; Disaster prevention; Disasters; Energy resources; Hurricanes; Information systems; Petroleum analysis; Public works; Supply chain management; Disaster management; Disruptions; Hurricane katrina; Hurricane Rita; Petroleum supply; Systems simulation; Geographic information systems |
Abstract |
Crisis and disaster management is a field that requires the understanding and application of tools and knowledge from multiple disciplines. Hurricanes Katrina and Rita in 2005 have proven that U.S. petroleum infrastructure is vulnerable to major supply disruptions as a direct result of disasters. Due to the structure of U.S. oil supply chain, primary oil production centers (i.e. PADD* 3) are geographically separated from primary demand centers (i.e. PADD 1), which creates a natural dependency between those districts. To better understand the extent of those dependencies and downstream impacts of supply disruptions, a multi-disciplinary research approach is necessary. The cross-disciplines in this research include disaster management, critical infrastructure and oil supply chain management, and the utilization of geographic information systems (GIS) and systems simulation. This paper specifically focuses on the framework for integrating GIS and systems simulation as analysis tools in this research. |
Address |
George Washington University, ICDRM, United States |
Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Washington, DC |
Editor |
F. Fiedrich, B. Van de Walle |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9780615206974 |
Medium |
|
Track |
Impact of Disasters on Industry and Economic Effects |
Expedition |
|
Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
1130 |
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Author |
Siska Fitrianie; Ronald Poppe; Trung H. Bui; Alin Gavril Chitu; Dragos Datcu; Ramón Dor; Denis Hofs; Pascal Wiggers; Don J.M. Willems; Mannes Poel; Leon J.M. Rothkrantz; Louis G. Vuurpijl; Job Zwiers |
Title |
A multimodal human-computer interaction framework for research into crisis management |
Type |
Conference Article |
Year |
2007 |
Publication |
Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers |
Abbreviated Journal |
ISCRAM 2007 |
Volume |
|
Issue |
|
Pages |
149-158 |
Keywords |
Character recognition; Communication systems; Disasters; Human computer interaction; Speech recognition; Communication modalities; Evaluation methods; Facial Expressions; Multi-modal information; Multimodal human computer interaction; Multimodal system; Rescue simulation; Technological aspects; Face recognition |
Abstract |
Unreliable communication networks, chaotic environments and stressful conditions can make communication during crisis events difficult. The current practice in crisis management can be improved by introducing ICT systems in the process. However, much experimentation is needed to determine where and how ICT can aid. Therefore, we propose a framework in which predefined modules can be connected in an ad hoc fashion. Such a framework allows for rapid development and evaluation of such ICT systems. The framework offers recognition of various communication modalities including speech, lip movement, facial expression, handwriting and drawing, body gesture, text and visual symbols. It provides mechanisms to fuse these modalities into a context dependent interpretation of the current situation and generate appropriate the multimodal information responses. The proposed toolbox can be used as part of a disaster and rescue simulation. We propose evaluation methods, and focus on the technological aspects of our framework. |
Address |
Man-Machine Interaction Group, Delft University of Technology, Netherlands; Human Media Interaction Group, University of Twente, Netherlands; Nijmegen Institute for Cognition and Information, Radboud University Nijmegen, Netherlands |
Corporate Author |
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Thesis |
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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 |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
|
ISSN |
2411-3387 |
ISBN |
9789054874171; 9789090218717 |
Medium |
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Track |
HCIS |
Expedition |
|
Conference |
4th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
|
Serial |
497 |
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Author |
Sébastien Tremblay; Peter Berggren; Martin Holmberg; Rego Granlund; Marie-Eve Jobidon; Paddy Turner |
Title |
A multiteam international simulation of joint operations in crisis response |
Type |
Conference Article |
Year |
2012 |
Publication |
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2012 |
Volume |
|
Issue |
|
Pages |
|
Keywords |
Deforestation; Emergency services; Fires; Human resource management; Information systems; Virtual reality; Collaborative process; Experimental platform; Horizontal organizations; Organizational structures; Quantitative measures; Shared understanding; Simulation environment; Situation assessment; Information management; Information Retrieval; Management |
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. |
Address |
Université Laval, QC, Canada; FOI, Linkoping, Sweden; FHS, Stockholm, Sweden; Santa Anna Research Institute, Sweden; Defence R and D Canada, Toronto, ON, Canada; Cranfield University, Defence Academy, United Kingdom |
Corporate Author |
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Thesis |
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Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780864913326 |
Medium |
|
Track |
Poster Session |
Expedition |
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Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
|
Serial |
218 |
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Author |
Clara Le Duff; Jean-Philippe Gitto; Julien Jeany; Raphaël Falco; Matthieu Lauras; Frederick Benaben |
Title |
A Physics-based Approach to Evaluate Crisis Impacts on Project Management |
Type |
Conference Article |
Year |
2022 |
Publication |
ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2022 |
Volume |
|
Issue |
|
Pages |
134-143 |
Keywords |
Crisis Management, Project Management, Risk Assessment, Physics of Decision, Simulation |
Abstract |
Project management has become a standard in business. Unfortunately, the projects as well as companies are increasingly subject to major disruptions. In this context, it is of prime importance to have the ability to manage the risks inherent to these projects to best achieve their objectives. The existing approaches of crisis management in the literature no longer seem to be adapted to this new normality. The future of research lies in a more systematic crisis assessment and a better conceptualization of the uncertainty associated with risks. It is necessary to rely on the collection of heterogeneous data in order to maximize the understanding of the project environment and to find a way that best describes and visualizes the influence of crises on the project management processes. This article uses the POD approach and applies it in the context of project management to address these issues. |
Address |
Centre Génie Industriel – IMT Mines Albi; Scalian; Scalian; Scalian; Scalian; Centre Génie Industriel – IMT Mines Albi |
Corporate Author |
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Thesis |
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Publisher |
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Place of Publication |
Tarbes, France |
Editor |
Rob Grace; Hossein Baharmand |
Language |
English |
Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
978-82-8427-099-9 |
Medium |
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Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
|
Notes |
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Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2404 |
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Author |
Timothy E Wright; Greg Madey |
Title |
A prototype virtual emergency operations center using a collaborative virtual environment |
Type |
Conference Article |
Year |
2008 |
Publication |
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2008 |
Volume |
|
Issue |
|
Pages |
71-82 |
Keywords |
Information systems; Risk management; Virtual addresses; Collaborative virtual environment; Croquet; Desktop virtual reality; Emergency management; Emergency operations centers; Simulation; Virtual reality |
Abstract |
In the realm of emergency operations, planning and training is a critical ingredient for success. The use of virtual environments can offer a convenient means of practicing and simulating activities in an emergency operations center (EOC). Although many virtual environments strive to offer realism in their simulations of weather, population, and incident happenings, they often fall short in terms of collaboration among simulation participants: unless participants are at the same physical location, their ability to see and interact with one and other is limited. Moreover, interactivity that is possible may not be truly synchronous (e.g., network lag can cause activities to happen out of order). These are compelling drawbacks to computer-based EOC simulators/trainers, since collaboration is a cornerstone for successful EOC teams. To address these problems, we present the virtual EOC. Our prototype aims to provide a collaborative virtual environment that enables interactivity among participants while executing synchronous, script-driven tests and simulations. |
Address |
University of Notre Dame, United States |
Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Washington, DC |
Editor |
F. Fiedrich, B. Van de Walle |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780615206974 |
Medium |
|
Track |
Virtual Systems for Emergency Management Simulation & Training |
Expedition |
|
Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
|
Serial |
1099 |
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Author |
Telmo Zarraonandia; Victor A. Bañuls; Ignacio Aedo; Paloma Díaz; Murray Turoff |
Title |
A scenario-based virtual environment for supporting emergency training |
Type |
Conference Article |
Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
Volume |
|
Issue |
|
Pages |
597-601 |
Keywords |
Information systems; Learning systems; 3-D virtual environment; Cross-impact analysis; Design and implementations; Emergency situation; Emergency training; Scenarios; Serious games; Simulation exercise; Virtual reality |
Abstract |
Simulation exercises are particularly popular for training in emergency situations. Exercises can vary in their degree of realism, complexity and level of stress, but they all try to reproduce a scenario of a real emergency so that each participant simulates the actions carried out for the role they should play. They not only support effective and situated learning, but they can also serve to improve the plan by allowing the identification of weak points and potential drawbacks in it. To facilitate the design and implementation of 3D virtual environments in which training exercises can be conducted, in this paper we propose to use the Cross-Impact Analysis technique in combination with an educational game platform called GRE. We also present a Simulation Authoring Tool that allows the designer to carry out the integration of the knowledge captured by means of Cross-Impact into the game designs that GRE can interpret. |
Address |
Universidad Carlos III de Madrid, Spain; Universidad Pablo Olavide, Spain; New Jersey Institute of Technology, United States |
Corporate Author |
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Thesis |
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Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
|
Track |
Serious Games for Crisis Management |
Expedition |
|
Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
|
Serial |
1139 |
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Author |
Rocco Sergio Palermo; Antonio De Nicola |
Title |
A Simulation Framework for Epidemic Spreading in Semantic Social Networks |
Type |
Conference Article |
Year |
2022 |
Publication |
ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2022 |
Volume |
|
Issue |
|
Pages |
266-273 |
Keywords |
Epidemics; Simulation; Semantic Social Network; Ontology; Crisis |
Abstract |
Epidemic spreading simulation in social networks denotes a set of techniques that allow to assess the temporal evolution and the consequences of a pandemic. They were largely used by governments and International health organizations during the COVID-19 world crisis to decide the appropriate countermeasures to limit the diffusion of the disease. Among them, the existing simulation techniques based on a network model aimed at studying the infectious disease dynamics have a prominent role and are widely adopted. However, even if they leverage the topological structure of a social network, they disregard the intrinsic and individual features of its members. A semantic social network is defined as a structure consisting of interlinking layers, which include a social network layer, to represent people and their relationships and a concept network layer, to represent concepts, their ontological relationships and implicit similarities. Here, we propose a novel epidemic simulation framework that allows to describe a community of people as a semantic social network, to adopt the most commonly used compartmental models for describing epidemic spreading, such as Susceptible-Infected-Susceptible (SIS) or Susceptible-Infected-Removed (SIR), and to enable semantic reasoning to increase the accuracy of the simulation. Finally, we show how to use the framework to simulate the impact of a pandemic in a community where the job of each member is known in advance. |
Address |
Università Guglielmo Marconi; ENEA |
Corporate Author |
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Thesis |
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Publisher |
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Place of Publication |
Tarbes, France |
Editor |
Rob Grace; Hossein Baharmand |
Language |
English |
Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
|
ISSN |
2411-3387 |
ISBN |
978-82-8427-099-9 |
Medium |
|
Track |
AI and Intelligent Systems for Crises and Risks |
Expedition |
|
Conference |
|
Notes |
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Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2416 |
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Author |
Kpotissan Adjetey-Bahun; Babiga Birregah; Eric Châtelet; Jean-Luc Planchet; Edgar Laurens-Fonseca |
Title |
A simulation-based approach to quantifying resilience indicators in a mass transportation system |
Type |
Conference Article |
Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
Volume |
|
Issue |
|
Pages |
75-79 |
Keywords |
Indicators (instruments); Information systems; Crisis management; Early warning; Mass transportation systems; Railway; Railway transportation; Resilience; Simulation-based modeling; Railroads |
Abstract |
A simulation-based model used to measure resilience indicators of the railway transportation system is presented. This model is tested through a perturbation scenario: the inoperability of a track which links two stations in the system. The performance of the system is modelled through two indicators: (a) the number of passengers that reach their destination and (b) the total delay of passengers after a serious perturbation. The number of passengers within a given station at a given time is considered as early warning in the model. Furthermore, a crisis management plan has been simulated for this perturbation scenario in order to help the system to recover quickly from this perturbation. This crisis management plan emphasizes the role and the importance of the proposed indicators when managing crises. |
Address |
Régie Autonome des Transports Parisiens (RATP), France; Université de Technologie de Troyes (UTT), UMR 6281, CNRS, France; UTT, UMR 6281, CNRS, France; RATP, France |
Corporate Author |
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Thesis |
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Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
|
Track |
Analytic Modeling and Simulation |
Expedition |
|
Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
254 |
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Author |
Daniel E. Lane; Tracey L. O'Sullivan; Craig E. Kuziemsky; Fikret Berkes; Anthony Charles |
Title |
A structured equation model of collaborative community response |
Type |
Conference Article |
Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
Volume |
|
Issue |
|
Pages |
906-911 |
Keywords |
Computer simulation; Decision theory; Information systems; Mathematical models; Risk analysis; Adaptation; C-change; Community collaboration; Community engagement; Emergency response; EnRiCH; Preparedness; Simulation; Structured equation modeling; Emergency services |
Abstract |
This paper analyses the collaborative dynamic of community in response to urgent situations. Community emergencies arising from natural or man-induced threats are considered as exogenous events that stimulate community resources to be unified around the response, action, and recovery activities related to the emergency. A structured equation model is derived to depict the actions of the community system. The system is described in terms of its resources including the propensity to trigger community action and collaboration among diverse groups. The community is profiled with respect to its ability to respond. The system defines the trigger mechanisms that are considered to be the drivers of collaborative action. A simulation model is presented to enact the system emergencies, community profiles, and collaborative response. The results develop an improved understanding of conditions that engage community collaborative actions as illustrated by examples from community research in the EnRiCH and the C-Change community research projects. |
Address |
Telfer School of Management, University of Ottawa, Canada; Interdisciplinary Faculty of Health Sciences, University of Ottawa, Canada; Natural Resources Institute, University of Manitoba, Canada; Department of Finance and Management Science, Saint Mary's University, Canada |
Corporate Author |
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Thesis |
|
Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
|
Track |
Social Media |
Expedition |
|
Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
677 |
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Author |
Peter Otto; Salvatore Belardo |
Title |
A theoretical evaluation of information processing resources during organizational crisis |
Type |
Conference Article |
Year |
2006 |
Publication |
Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2006 |
Volume |
|
Issue |
|
Pages |
262-271 |
Keywords |
Computer simulation; Information systems; Stresses; Crisis; Crisis management; Double-loop learning; Organizational learning; Single-loop learning; Theoretical evaluation; Theoretical framework; Yerkes-dodson laws; Computer aided instruction |
Abstract |
The purpose of this paper is to present a model for testing different organizational learning characteristics and their effects on performance rate in times of an unexpected temporary increase in workload. Drawing on the theoretical frameworks of Yerkes-Dodson law, the stress-buffering effect of coping resources, and established crisis management models, the authors examine the hypotheses of curvilinear and interactional influence of single and double-loop learning on stress levels during crises. Using a simulation model, we identify thresholds in single and double-loop learning environments, where increases in workload lead to dysfunctional effects of stress. The findings indicate support for the hypothesis that an organization that employs double-loop learning is less susceptible to negative stress in times of a crisis. Overall, the study highlights the characteristics of different learning types and its effects on stress. It is suggested that experiments with a simulation model lead to a better understanding of how information processing resources that people have access to in stress events, buffers or protects them from negative effects. |
Address |
Management Information Systems, School of Business, Dowling College, NY, United States; Management Science and Information Systems, School of Business, University at Albany, Albany, NY, United States |
Corporate Author |
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Thesis |
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Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Newark, NJ |
Editor |
B. Van de Walle, M. Turoff |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9090206019; 9789090206011 |
Medium |
|
Track |
SYSTEM DYNAMICS MODELING FOR EMERGENCY MANAGEMENT |
Expedition |
|
Conference |
3rd International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
822 |
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Author |
Janine Hellriegel; Michael Klafft |
Title |
A tool for the simulation of alert message propagation in the general population |
Type |
Conference Article |
Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
Volume |
|
Issue |
|
Pages |
65-69 |
Keywords |
Computer simulation; Frequency multiplying circuits; Information systems; Alert simulation; Crisis preparation; Geo-spatial informations; Message propagation; Multiplication effect; Prototypical implementation; Simulation software; Warning channel; Computer software |
Abstract |
Informing and alerting the population in disaster situations is a challenging task. Numerous situational factors have to be considered, as well as the impact of a plethora of communication channels, and multiplication effects in the population. In order to optimize the alerting strategies and enhance alert planning, it would be beneficial to model the dissemination of alerts. In this paper, we present a general overview of an alert dissemination model as well as its prototypical implementation in a simulation software. The software takes situational parameters such as time of day and location into account and can even infer characteristics of the alerting infrastructure from geospatial information. |
Address |
Fraunhofer FOKUS, Germany; FOM University, Fraunhofer FOKUS, Germany |
Corporate Author |
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Thesis |
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Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
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Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
|
Track |
Analytic Modeling and Simulation |
Expedition |
|
Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
568 |
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Author |
Rianne Gouman; Masja Kempen; Niek Wijngaards |
Title |
Actor-agent team experimentation in the context of incident management |
Type |
Conference Article |
Year |
2010 |
Publication |
ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings |
Abbreviated Journal |
ISCRAM 2010 |
Volume |
|
Issue |
|
Pages |
|
Keywords |
Artificial intelligence; Human resource management; Information systems; Intelligent agents; Actor-agent teaming; Artificial intelligent; Comparative experiments; Empirical research method; Experimentation; Performance indicators; Simulation; Simulation toolkits; Experiments |
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. |
Address |
D-CIS Lab, Thales Research and Technology NL, Netherlands |
Corporate Author |
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Thesis |
|
Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Seattle, WA |
Editor |
S. French, B. Tomaszewski, C. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
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Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
|
Medium |
|
Track |
Research Methods |
Expedition |
|
Conference |
7th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
539 |
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Author |
Graham Coates; Glenn I. Hawe; Duncan T. Wilson; Roger S. Crouch |
Title |
Adaptive co-ordinated emergency response to rapidly evolving large-scale unprecedented events (REScUE) |
Type |
Conference Article |
Year |
2011 |
Publication |
8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 |
Abbreviated Journal |
ISCRAM 2011 |
Volume |
|
Issue |
|
Pages |
|
Keywords |
Artificial intelligence; Decision support systems; Information systems; Adaptive search method; Agent based simulation; Co-ordination; Decision supports; Emergency response; Geographical locations; Integrated frameworks; Team composition and task allocations; Emergency services |
Abstract |
This paper presents an overview of ongoing research into the development of an integrated framework aimed at adaptive co-ordination of emergency response to dynamic, fast evolving and novel events on a large-scale. The framework consists of (i) a decision support system, supported by rapid adaptive search methods, to enable the real time development of tailored response plans including emergency responder team composition and task allocation to these teams, and (ii) an agent-based simulation of emergency response to large-scale events occurring in real geographical locations. The aim of this research is to contribute to understanding how better agent-based simulation coupled with decision support can be used to enable the effective co-ordination of emergency response, involving the collective efforts and actions of multiple agencies (ambulance services, fire brigades, police forces and emergency planning units), to rapidly evolving large-scale unprecedented events. |
Address |
Durham University, United Kingdom |
Corporate Author |
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Thesis |
|
Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Lisbon |
Editor |
M.A. Santos, L. Sousa, E. Portela |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
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Series Title |
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Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9789724922478 |
Medium |
|
Track |
Intelligent Systems |
Expedition |
|
Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
402 |
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Author |
Tomoichi Takahashi |
Title |
Agent-based disaster simulation evaluation and its probability model interpretation |
Type |
Conference Article |
Year |
2007 |
Publication |
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 |
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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 |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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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 |
Xiaoyan Zhang; Graham Coates; Xiaoyang Ni |
Title |
Agent-based Modelling and Simulation for Lecture Theatre Emergency Evacuation |
Type |
Conference Article |
Year |
2017 |
Publication |
Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2017 |
Volume |
|
Issue |
|
Pages |
63-71 |
Keywords |
Emergency evacuation; agent-based modelling and simulation |
Abstract |
This paper presents an overview of ongoing research into the implementation of an agent-based model aimed at providing decision support for the layout design of lecture theatres and human behavioural management in emergency evacuation. The model enables the spatial layout of lecture theatres to be configured and incorporates agent behaviours at the basic movement and individual level. In terms of individual behaviours, agents can be competitive, cooperative, climb obstacles (e.g. seating and desks) and fall down. Two cases are investigated to evaluate the effects of different exit locations in lecture theatres and competitive behaviour of agents on evacuation efficiency in multiple scenarios. |
Address |
China University of Geosciences, Wuhan; Durham University |
Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Albi, France |
Editor |
Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
|
Medium |
|
Track |
Analytical Modeling and Simulation |
Expedition |
|
Conference |
14th International Conference on Information Systems for Crisis Response And Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
2000 |
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Author |
Douglas A. Samuelson; Matthew Parker; Austin Zimmerman; Loren Miller; Stephen Guerin; Joshua Thorp; Owen Densmore |
Title |
Agent-based simulations of mass egress after Improvised Explosive Device attacks |
Type |
Conference Article |
Year |
2008 |
Publication |
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2008 |
Volume |
|
Issue |
|
Pages |
59-70 |
Keywords |
Computer simulation; Recreation centers; Stadiums; Subway stations; Agent based simulation; Department of Homeland Security; Emergency preparedness; Event management; Improvised explosive devices; Mass egress; Real-time information systems; Science and Technology; Information systems |
Abstract |
For the Science and Technology Directorate (S&T) of the U. S. Department of Homeland Security, we developed agent-based computer simulation models of mass egress from a stadium and a subway station following one or more attacks with Improvised Explosive Devices (IEDs.) Anti-IED countermeasures we modeled included improved guidance to exits, baffles to absorb shock and shrapnel, and, for the stadium, egress onto the playing field. We found improved real-time information systems that provide better guidance to exits would substantially expedite egress and could reduce secondary (trampling and crush) casualties. Our results indicate that models like these can be useful aids to selecting countermeasures, and for training, preparation and exercises. We also discuss the unusual problems such models pose for real-time event management and for validation and evaluation. |
Address |
Serco, United Kingdom; ANSER, United Kingdom; Homeland Security Institute, United States; Redfish Group, United Kingdom |
Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Washington, DC |
Editor |
F. Fiedrich, B. Van de Walle |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9780615206974 |
Medium |
|
Track |
Virtual Systems for Emergency Management Simulation & Training |
Expedition |
|
Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
908 |
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Author |
Sadeeb Ottenburger; Thomas Münzberg |
Title |
An Approach for Analyzing the Impacts of Smart Grid Topologies on Critical Infrastructure Resilience |
Type |
Conference Article |
Year |
2017 |
Publication |
Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2017 |
Volume |
|
Issue |
|
Pages |
400-411 |
Keywords |
Smart Grids; Urban Resilience; Agent Based Simulation; Critical Infrastructure Protection; Decision Support |
Abstract |
The generation and supply of electricity is currently about to undergo a fundamental transition that includes extensive development of smart grids. Smart grids are huge and complex networks consisting of a vast number of devices and entities which are connected with each other. This fact opens new variations of disruption scenarios which can increase the vulnerability of a power distribution network. However, the network topology of a smart grid has significant effects on urban resilience particularly referring to the adequate provision of vital services of critical infrastructures. An elaborated topology of smart grids can increase urban resilience. In this paper, we discuss the role of smart grids, give research impulses for examining diverse smart grid topologies and for evaluating their impacts on urban resilience by using an agent based simulation approach which considers smart grid topology as a model parameter. |
Address |
Karlsruhe Institute of Technology (KIT) |
Corporate Author |
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Thesis |
|
Publisher |
Iscram |
Place of Publication |
Albi, France |
Editor |
Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
|
Medium |
|
Track |
Protection Models For Complex Critical Infrastructures |
Expedition |
|
Conference |
14th International Conference on Information Systems for Crisis Response And Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
2029 |
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Author |
Ahmed S. Khalaf; Poom Pianpak; Sultan A. Alharthi; Zahra NaminiMianji; Ruth Torres; Son Tran; Igor Dolgov; Zachary O. Toups |
Title |
An Architecture for Simulating Drones in Mixed Reality Games to Explore Future Search and Rescue Scenarios |
Type |
Conference Article |
Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
Volume |
|
Issue |
|
Pages |
971-982 |
Keywords |
Mixed Reality, Drones, Simulations, Disaster Response, Search and Rescue |
Abstract |
The proliferation of unmanned aerial systems (i.e., drones) can provide great value to the future of search and rescue. However, with the increase adoption of such systems, issues around hybrid human-drone team coordination and planning will arise. To address these early challenges, we provide insights into the development of testbeds in the form of mixed reality games with simulated drones. This research presents an architecture to address challenges and opportunities in using drones for search and rescue. On this architecture, we develop a mixed reality game in which human players engage with the physical world and with gameplay that is purely virtual. We expect the architecture to be useful to a range of researchers an practitioners, forming the basis for investigating and training within this unique, new domain. |
Address |
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Corporate Author |
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Thesis |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
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Abbreviated Series Title |
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Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
|
Track |
Open Track |
Expedition |
|
Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
2169 |
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Author |
Alicia Cabañas Ibañez; Dirk Schwanenberg; Luis Garrote De Marcos; Miguel Francés Mahamud; Javier Arbaizar González |
Title |
An example of Flood Forecasting and Decision-Support System for water management in Spain |
Type |
Conference Article |
Year |
2011 |
Publication |
8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 |
Abbreviated Journal |
ISCRAM 2011 |
Volume |
|
Issue |
|
Pages |
|
Keywords |
Artificial intelligence; Computer simulation; Decision support systems; Flood control; Hydraulic tools; Information systems; Reservoir management; Water management; Data-sources; Early warning; Early Warning System; Flood forecasting; Flood management; Open-shell; Floods |
Abstract |
The paper provides an overview of past, present and future development in the program to implement a Flood Forecasting and Decision-Support System (DSS) for the SAIH network in some Spanish basins. These tools represent a significant advance by embedding the decision-making components for management of hydraulic infrastructure into the flood forecasting and flood early warning procedures. The DSS has been implemented based on an open-shell platform for integrating various data sources and different simulation models. So far, it covers the Segura, Jucar, Tajo, Duero and Miño-Sil basins, which represent 42% of Spanish territory. Special attention is paid to the decision-support for the operation of the 66 major reservoirs as a fundamental part of flood management. |
Address |
KV Consultores, Madrid, Spain; Deltares, Operational Water Management, Delft, Netherlands; Universidad Politécnica de Madrid, Spain; Dirección General Del Agua, Spain |
Corporate Author |
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Thesis |
|
Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Lisbon |
Editor |
M.A. Santos, L. Sousa, E. Portela |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9789724922478 |
Medium |
|
Track |
Early Warning and Alert Systems |
Expedition |
|
Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
609 |
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Author |
Charles Bailly; Carole Adam |
Title |
An interactive simulation for testing communication strategies in bushfires |
Type |
Conference Article |
Year |
2017 |
Publication |
Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2017 |
Volume |
|
Issue |
|
Pages |
72-84 |
Keywords |
Agent-based modelling and simulation; communication; crisis management; GAMA platform; serious game |
Abstract |
Australia is frequently hit by bushfires. In 2009, the “Black Saturday” fires killed 173 people and burnt hectares of bush. As a result, a research commission was created to investigate, and concluded that several aspects could be improved, in particular better understanding of the population actual behaviour, and better communication with them. We argue that agent-based modelling and simulation is a great tool to test possible communication strategies, in order to deduce valuable insight for emergency managers before new fires happen. In this paper, we extend an existing agent-based model of the population behaviour in bushfires. Concretely, we added a communication model based in social sciences, and user interactivity with the model. We present the results of first experiments with dierent communication strategies, providing valuable insight for better communication with the population during such events. This model is still preliminary and will eventually be turned into a serious game. |
Address |
Grenoble-INP, LIG, Grenoble, France; Univ. Grenoble-Alpes, LIG, F-38000 Grenoble, France |
Corporate Author |
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Thesis |
|
Publisher |
Iscram |
Place of Publication |
Albi, France |
Editor |
Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
|
Medium |
|
Track |
Analytical Modeling and Simulation |
Expedition |
|
Conference |
14th International Conference on Information Systems for Crisis Response And Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
2001 |
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|
Author |
Abdelgawad, A.A. |
Title |
An Updated System Dynamics Model for Analysing the Cascading Effects of Critical Infrastructure Failures |
Type |
Conference Article |
Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
Volume |
|
Issue |
|
Pages |
595-608 |
Keywords |
Critical Infrastructure; Cascading Failures; System Dynamics; Modelling And Simulation; Decision-Making |
Abstract |
Aiming at examining the cascading effects of the failure of Critical Infrastructure (CI), this work-in-progress research introduces an improved System Dynamics model. We represent an improvement over the previous models aimed at studying CIs interdependencies and their cascading effects. Our model builds on earlier models and corrects their flaws. In addition to introducing structural enhancements, the improvements include using unpublished data, a fresh look at a previously collected dataset and employing a new data processing to address and resolve some longstanding issues. The dataset was fed to an optimisation model to produce a new dataset used in our model. The structure of our SD model, its dataset and the data processing techniques we employed to create this dataset are all described in the study. Although the model has passed the fundamental validation criteria, more validation testing and scenario exploration are yet to be conducted. |
Address |
Centre for Integrated Emergency Research,University of Agder |
Corporate Author |
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Thesis |
|
Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
Language |
English |
Summary Language |
|
Original Title |
|
Series Editor |
Hosssein Baharmand |
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
1 |
ISSN |
2411-3387 |
ISBN |
979-8-218-21749-5 |
Medium |
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Track |
Analytic Modeling and Simulation |
Expedition |
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Conference |
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Notes |
http://dx.doi.org/10.59297/XMVD9392 |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2550 |
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Author |
Shengcheng Yuan; Ma Ma; H. Zhang; Yi Liu. |
Title |
An urban traffic evacuation model with decision-making capability |
Type |
Conference Article |
Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
Volume |
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Issue |
|
Pages |
317-321 |
Keywords |
Computer simulation; Decision making; Highway administration; Information systems; Roads and streets; Decision making support; Evacuation modeling; Evacuation process; Partial information; Simulation modules; System optimizations; Traffic directions; Traffic information; Emergency traffic control |
Abstract |
Traffic evacuation is one of the most challenging problems in a mega city due to crowded road conditions. This study focuses on developing a traffic evacuation model with decision-making capability. The model basically consists of two modules. The first one is a decision-making support module which runs very fast and provides short-forecast. The second one is a simulation module, which is used for simulating real evacuation process and for overall performance evaluation with vehicle tracking model. The first module can be considered as a “local” module as only partial information, such as traffic information in certain junctions is available. The second module can be considered as a global module which provides traffic directions for junction, and effective using of road-nets. With integration of two modules, overall system optimization may be achieved. Simulation cases are given for model validation and results are satisfied. |
Address |
Institute of Public Safety Research, Tsinghua University, Beijing, China |
Corporate Author |
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Thesis |
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Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
|
ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
|
Track |
Decision Support Systems |
Expedition |
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Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
1136 |
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