Records |
Author |
Toshihiro Osaragi; Koji Ogino; Noriaki Hirokawa; Takuya Oki |
Title |
Severity of Crowding at Evacuation Shelters after a Major Earthquake |
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 |
22-43 |
Keywords |
large earthquake; evacuation shelter; building damage; water-supply failure; simulation; evacuation behavior |
Abstract |
A number of residents are presumed to evacuate to shelters after a large earthquake. However, the congestion of evacuation shelters has not been enough discussed. In this paper, we propose an evacuation behavior model, which includes sub-models on building damage, water-supply failure, power failure, fire damage, and elevator stall. Using the model estimated using the survey data of the past earthquakes, we discuss the congestion of evacuation shelters under the assumption of Tokyo Bay northern earthquake. Finally, we discuss improvement of water pipes for earthquake resistance to reduce the congestion degree of evacuation shelters, which varies according to regional vulnerability. |
Address |
Tokyo Institute of Technology |
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 |
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Notes |
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Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2397 |
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Author |
Julian Zobel; Ralf Kundel; Ralf Steinmetz |
Title |
CAMON: Aerial-Ground Cooperation System for Disaster Network Detection |
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 |
87-101 |
Keywords |
Aerial Disaster Monitoring System; Delay-Tolerant Networks; Cooperative Network Protocols; Simulation |
Abstract |
Information on large-scale disaster areas, like the location of affected civilians, is highly valuable for disaster relief efforts. This information can be collected by an Aerial Monitoring System, using UAVs to detect smart mobile devices carried by civilians. State-of-the-art systems typically rely on a purely passive detection approach. In this paper, we present a cooperative communication system between UAVs and ground-based devices to improve the detection performance of such an Aerial Monitoring System. We provide different approaches for the cooperative information collection and evaluate them in a simulated inner-city scenario. The results highlight the effectiveness of the cooperative system, being able to detect civilian devices in the disaster area faster and more comprehensively than a non-cooperative approach. |
Address |
Multimedia Communications Lab (KOM) Technical University of Darmstadt, Germany |
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 |
|
Track |
Analytical Modeling and Simulation |
Expedition |
|
Conference |
|
Notes |
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Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2401 |
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Author |
Carole Adam; Hélène Arduin |
Title |
Finding and Explaining Optimal Screening Strategies with Limited Tests during the COVID-19 Epidemics |
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 |
102-115 |
Keywords |
Agent-based simulation; screening strategies; epidemics modelling; COVID-19 |
Abstract |
The COVID-19 epidemics has now lasted for 2 years. A vaccine has been found, but other complementary measures are still required, in particular testing, tracing contacts, isolating infected individuals, and respecting sanitary measures (physical distancing, masks). However these measures are not always well accepted and many fake news circulate about the virus or the vaccine. We believe that explaining the mechanisms behind the epidemics and the reasons for the sanitary measures is key to protect the general population from disinformation. To this end, we have developed a simple agent-based epidemic simulator that includes various screening strategies. We show that it can be used to compare the efficiency of various targeting strategies, starting date, and number of daily tests. We also ran an optimisation algorithm that proves that the best strategies consist in testing widely and early. Our simulator is already available to play online, to raise awareness in the general population. |
Address |
Univ. Grenoble-Alpes – LIG; UMR IDEES Rouen – CNRS |
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 |
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Notes |
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Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2402 |
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Author |
Ahmed Laatabi; Benoit Gaudou; Chihab Hanachi; Patricia Stolf; Sébastien Truptil |
Title |
Coupling Agent-based Simulation with Optimization to Enhance Population Sheltering |
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 |
116-132 |
Keywords |
Sheltering; Simulation; Agent-Based Modeling; Optimization; Vehicle Routing Problem; Coupling; Flood Evacuation |
Abstract |
Population sheltering is a recurrent problem in crisis management that requires addressing two aspects: evacuating vulnerable people using emergency vehicles and regulating movements of pedestrians and individual vehicles towards shelters. While these aspects have received considerable attention in modeling and simulation literature, very few approaches consider them simultaneously. In this paper, we argue that Agent-Based Modeling and Simulation (ABMS) and Optimization are two complementary approaches that can address the problem of sheltering globally and efficiently and be the basis of coherent frameworks for decision- and policy-making. Optimization can build efficient sheltering plans, and ABMS can explore what-if scenarios and use geospatial data to display results within a realistic environment. To illustrate the benefits of a framework based on this coupling approach, we simulate actual flash flood scenarios using real-world data from the city of Trèbes in South France. Local authorities may use the developed tools to plan and decide on sheltering strategies, notably, when and how to evacuate depending on available time and resources. |
Address |
University of Toulouse; University of Toulouse; University of Toulouse; University of Toulouse; CEA Tech Occitanie |
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 |
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Notes |
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Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2403 |
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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 |
|
Track |
Analytical Modeling and Simulation |
Expedition |
|
Conference |
|
Notes |
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Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2404 |
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Author |
Santiago Pantano Calderón; Claude Baron; Jean-Charles Chaudemar; Élise Vareilles; Rob Vingerhoeds |
Title |
Regarding the COVID-19 Crisis from a Systems Engineering Perspective |
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 |
154-161 |
Keywords |
COVID-19; Crisis; Modeling; Simulation; Holistic approach |
Abstract |
In the beginning of 2022, the world is still fighting the crisis caused by the COVID-19 o utbreak. The scientific community is still dedicating significant efforts to identify which are the better strategies to mitigate the pandemic and establish how and when to apply them. Modeling and simulation are a common method to replicate and foresee the behavior of the epidemic curve, but traditional analytical models are not capable to explain and reproduce the real evolution of the number of infections and deaths as they only concentrate in the epidemiological aspects of the virus. The COVID-19 crisis has an impact in all fundamental levels of society, and this is the reason why its modeling requires a global perspective and a holistic approach. Though the engineering scope is not common in the study of public health crises, this paper concludes that some engineering tools such as systems analysis and control theory may be the answer to build a high-fidelity model to support the decision-making facing the emergency. |
Address |
Université de Toulouse; Université de Toulouse; ISAE-SUPAERO; ISAE-SUPAERO; ISAE-SUPAERO |
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 |
|
Track |
Analytical Modelling and Simulation |
Expedition |
|
Conference |
|
Notes |
|
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2406 |
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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 |
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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 |
Stella Polikarpus; Tobias Ley; Hans Hazebroek; Graham Edgar; Geoffrey Sallis; Steven Baker; Anna Figueras Masip |
Title |
Authoring Virtual Simulations to Measure Situation Awareness and Understanding |
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 |
428-433 |
Keywords |
situation awareness (SA); situation understanding (SU); FireFront; The Collaborative Authoring Process Model (CAPM) for Virtual Simulations (VS); actual situation awareness (ASA); actual situation understanding (ASU); perceived situation awareness (PSA) |
Abstract |
Measuring situation awareness (SA) and situation understanding (SU) is an important topic for Command & Control research. Virtual simulations (VS) have been proposed as a suitable method for measuring SA/U, but, there is little research into how to build scenarios for VS so that SA/U can be measured reliably. In this study, we used two different VS scenarios and the Quantitative Analysis of Situation Awareness (QASA) method to measure, and provide feedback on, actual and perceived SA/U. Two VS scenarios were tested in Estonia with 36 trainees. The results of the different scenarios were compared to establish whether the scenario storylines and authoring process resulted in differences in SA or SU. We conclude that reliable assessment results were produced with both authoring processes, and further suggest that the Collaborative Authoring Process Model for Virtual Simulations (CAPM) be used for VS creation. |
Address |
The Estonian Academy of Security Sciences; Tallinn University; Nederlands Instituut Publieke Veiligheid; University of Gloucestershire; Insitut de Seguretat Publica de Catalunya |
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 |
Command and Control Studies |
Expedition |
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Conference |
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Notes |
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Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2430 |
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Author |
Michael Erskine; Scott Seipel; Cayson Seipel |
Title |
Development of a Geospatial Agent-Based Simulation of Disaster Evacuations for Battery Electric Vehicle (BEV) Policy |
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 |
532-540 |
Keywords |
Battery Electric Vehicles; Government Policy; Hurricane Evacuation; Geospatial Agent-Based Simulation |
Abstract |
Several nations have signaled their intent to phase out petroleum-based engines for passenger vehicles and promote a transition to battery electric vehicles (BEVs). While researchers have established the long-term environmental benefits of BEVs, there are critical considerations for policymakers in areas prone to natural disasters. This research intends to develop a geospatial-based model to explore and simulate the evacuation of BEVs during a disaster. This work-in-progress (WiPe) paper examines the variables essential to creating an effective hurricane simulation. The final simulation model is intended to allow for the evaluation of BEV policy options under a variety of scenarios. We describe the considerations made during the development of this geospatial agent-based simulation under various hurricane parameters. Finally, we mention the expected benefits of our work and hint at possible policy directions. |
Address |
Middle Tennessee State University; Middle Tennessee State University; Middle Tennessee State University |
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 |
Geospatial Technologies and Geographic Information Science for Crisis Management |
Expedition |
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Conference |
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Notes |
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Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2437 |
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Author |
James Hilton; Nikhil Garg |
Title |
Rapid Geospatial Processing for Hazard and Risk Management using the Geostack Framework |
Type |
Conference Article |
Year |
2023 |
Publication |
Proceedings of the ISCRAM Asia Pacific Conference 2022 |
Abbreviated Journal |
Proc. ISCRAM AP 2022 |
Volume |
|
Issue |
|
Pages |
2-7 |
Keywords |
Hazards; Modelling; Simulation; Data Processing |
Abstract |
Operational predictive and risk modelling of landscape-scale hazards such as floods and fires requires rapid processing of geospatial data, fast model execution and efficient data delivery. However, geospatial data sets required for hazard prediction are usually large, in a variety of different formats and usually require a complex pre-processing toolchain. In this paper we present an overview of the Geostack framework, which has been specifically designed for this task using a newly developed software library. The platform aims to provide a unified interface for spatial and temporal data sets, deliver rapid processing through OpenCL and integrate with web APIs or external graphical user interface systems to display and deliver results. We provide examples of hazard and risk use cases, particularly Spark, a Geostack based system for predicting the spread of wildfires. The framework is open-source and freely available to end users and practitioners in the hazard and geospatial space. |
Address |
CSIRO Data61; CSIRO Data61 |
Corporate Author |
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Thesis |
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Publisher |
Massey Unversity |
Place of Publication |
Palmerston North, New Zealand |
Editor |
Thomas J. Huggins, V.L. |
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 |
978-0-473-66845-7 |
Medium |
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Track |
Geospatial Technologies and Geographic Information Science for Crisis Management |
Expedition |
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Conference |
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Notes |
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Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2475 |
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Author |
Leorey Marquez; Pawan Gamage; Dhirendra Singh; Vincent Lemiale; Trevor Dess; Peter Ashton; Luke Ryan |
Title |
SEEKER: A Web-Based Simulation Tool for Planning Community Evacuations |
Type |
Conference Article |
Year |
2023 |
Publication |
Proceedings of the ISCRAM Asia Pacific Conference 2022 |
Abbreviated Journal |
Proc. ISCRAM AP 2022 |
Volume |
|
Issue |
|
Pages |
8-24 |
Keywords |
Evacuation Modelling; Emergency Management; Decision Support Systems; Agent-Based Simulation |
Abstract |
Bushfires cause widespread devastation in Australia, one of the most fire-prone countries on earth. Bushfire seasons are also becoming longer and outbreaks of severe bushfires are occurring more often. This creates the problem of having more people at risk in very diverse areas resulting in more difficult mass evacuations over time. The Barwon Otway region in Victoria’s Surf Coast Shire is one such area with evacuation challenges due to its limited routes in and out of coastal areas and its massive population surges during the tourist season and holiday periods. The increasing gravity of the bushfire threat to the region has brought about the Great Ocean Road Decision Support System (GOR-DSS) project, and the subsequent development of a disaster evacuation tool to support emergency management organisations assess evacuation and risk mitigation options. This paper describes the design and development of SEEKER (Simulations of Emergency Evacuations for Knowledge, Education and Response). The SEEKER tool adds another level of intelligence to the evacuation response by incorporating agent-based modelling and allows emergency management agencies to design and run evacuation scenarios and analyse the risk posed by the fire to the population and road network. Furthermore, SEEKER can be used to develop multiple evacuation scenarios to investigate and compare the effectiveness of each emergency evacuation plan. This paper also discusses the application of SEEKER in a case study, community engagement, and training. |
Address |
CSIRO Data61; RMIT University; RMIT University; CSIRO Data61; DELWP; DELWP; Mount Alexander Shire Council |
Corporate Author |
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Thesis |
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Publisher |
Massey Unversity |
Place of Publication |
Palmerston North, New Zealand |
Editor |
Thomas J. Huggins, V.L. |
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 |
978-0-473-66845-7 |
Medium |
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Track |
Analytical Modelling and Simulation |
Expedition |
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Conference |
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Notes |
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Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2476 |
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Author |
Renán T. Rodríguez; Víctor A. Bañuls |
Title |
Challenges of Emergency Management Digital Transformation in Industrial Parks |
Type |
Conference Article |
Year |
2023 |
Publication |
Proceedings of the ISCRAM Asia Pacific Conference 2022 |
Abbreviated Journal |
Proc. ISCRAM AP 2022 |
Volume |
|
Issue |
|
Pages |
196-203 |
Keywords |
Digital Transformation; Safety; Industrial Parks; Emergency Management; Simulation |
Abstract |
Industrial parks are economic drivers of the cities where they are located. These parks are constantly at risk of catastrophe due to the diversity of industries and the dangerous materials used in their production processes. Despite this constant threat, there is a digitization shortfall in the emergency management process in industrial parks. This research paper seeks to describe the importance of digital transformation in industrial parks, as well as, how information systems can contribute to proper emergency management. Based on the preliminary analysis of the literature, it was possible to determine how the implementation of an emergency system would facilitate the prevention of catastrophes according to the analysis of scenarios, simulation, management, and proper coordination of emergencies in real-time. However, the proper functioning of this system depends on the implementation of environmental innovation, exploration, and observation skills, without neglecting the commitment of organizations and their material, human and technological resources to achieve a significant change. |
Address |
Catholic University of Cuenca; University Pablo de Olavide |
Corporate Author |
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Thesis |
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Publisher |
Massey Unversity |
Place of Publication |
Palmerston North, New Zealand |
Editor |
Thomas J. Huggins, V.L. |
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 |
978-0-473-66845-7 |
Medium |
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Track |
Information Systems for Emergency Management |
Expedition |
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Conference |
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Notes |
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Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2493 |
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Author |
Kishimoto, M.; Osaragi, T.; Chan Yili |
Title |
Evaluation of Improvement Projects in Densely Built-Up Area using a Large Earthquake Disaster Simulator: A case study in Kyojima Area, Tokyo |
Type |
Conference Article |
Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
Volume |
|
Issue |
|
Pages |
546-564 |
Keywords |
Urban Planning; Policy-Making; Large Earthquake; Disaster Mitigation; Improvement Project; simulation |
Abstract |
This paper aims to (1) evaluate the disaster mitigation effects of improvement projects in a certain area and (2) provide a basis for strategic planning to promote further improvements. Specifically, we decompose local improvements in the analyzed area into multiple scenarios and examine their effects and issues. First, we describe the “large earthquake disaster simulator,” which estimates property damage and human casualties in a large earthquake. Then, the Kyojima area of Sumida-Ku, Tokyo, is selected as the analyzed area. We decompose the improvement projects implemented during 2006 – 2016 and prepare six scenarios. Finally, a simulation analysis is conducted. We demonstrate that fire spread could be effectively blocked by (1) ensuring sufficient road width and (2) identifying the critical buildings in terms of fire spread mitigation and making them fireproof. |
Address |
Tokyo Institution of Technology |
Corporate Author |
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Thesis |
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Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
Language |
English |
Summary Language |
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Original Title |
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Series Editor |
Hosssein Baharmand |
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 |
1 |
ISSN |
|
ISBN |
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Medium |
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Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
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Notes |
http://dx.doi.org/10.59297/HGYM8610 |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2546 |
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Author |
Hager, F.; Reuter-Oppermann, M.; Müller, T.; Ottenburger, S. |
Title |
Towards the Design of a Simulation-based Decision Support System for Mass-Casualty Incidents |
Type |
Conference Article |
Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
Volume |
|
Issue |
|
Pages |
565-574 |
Keywords |
Mass-Casualty Incidents; Simulation, Multicriteria Decision Making |
Abstract |
In case of a mass-casualty incident, e.g. due to a disaster, a high number of patients need medical care within a short time frame and often, a significant percentage must be transported to a hospital or another suitable care facility. Then, different mass transportation modes (e.g., busses, ships or trains) may be used to quickly transport patients to available medical treatment centres outside of the disaster area. Within the SimPaTrans project, we develop a simulation-based decision support system for locating, sizing and analysing different modes of transport in order to prepare for mass-casualty incidents in Germany. In this paper, we present the outline of the tool as well as a first optimisation use case for transportation patients within the city of Karlsruhe, Germany |
Address |
Technical University of Darmstadt; Karlsruhe Institute of Technology |
Corporate Author |
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Thesis |
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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 |
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Series Editor |
Hosssein Baharmand |
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 |
1 |
ISSN |
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ISBN |
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Medium |
|
Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
|
Notes |
http://dx.doi.org/10.59297/SUZB3855 |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2547 |
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Author |
Restel, H. |
Title |
SimulationOps – Towards a Simulation as-a-Service Platform for Resilient Societies Using a Cross-domain Data Mesh |
Type |
Conference Article |
Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
Volume |
|
Issue |
|
Pages |
575-585 |
Keywords |
Disaster Resilience; SimulationOps; Simulation Life Cycle; Design Science Research; Data Mesh |
Abstract |
Cross-domain simulations can be a feasible approach for enhancing disaster resilience as well as promoting resilient societies. This work-in-progress proposes a data-centric process model and software platform architecture called “SimulationOps” aimed at improving cross-domain collaboration between researchers (simulation analysts, simulation modelers) and stakeholders (disaster responders, decision makers) throughout the simulation life cycle for combined simulation artifacts. This way, stakeholders are supported in mitigating disasters, improving overall resilience by gained insights, and improvements in quality and velocity. Applying a four-cycle Design Science Research model to the simulation lifecycle, it combines ideas from modern and agile software engineering practices, simulation-as-a-service approach, and the Data Mesh approach. It combines the technical IT level with the organizational process level to smoothen the workflow for creating, running, and improving cross-domain computer simulation components for both producers as well as consumers of the simulation life cycle. |
Address |
Fraunhofer FOKUS |
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 |
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Original Title |
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Series Editor |
Hosssein Baharmand |
Series Title |
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Abbreviated Series Title |
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Series Volume |
|
Series Issue |
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Edition |
1 |
ISSN |
|
ISBN |
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Medium |
|
Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
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Notes |
http://dx.doi.org/10.59297/NUER9877 |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2548 |
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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 |
|
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 |
|
Track |
Analytic Modeling and Simulation |
Expedition |
|
Conference |
|
Notes |
http://dx.doi.org/10.59297/XMVD9392 |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2550 |
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Author |
Stensrud, R.; Valaker, S. |
Title |
Methods to meet changes in the security environment a proposal of qualitative and quantitative assessment attributes for coordination performance |
Type |
Conference Article |
Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
Volume |
|
Issue |
|
Pages |
676-691 |
Keywords |
Modelling And Simulation; Multiteam Systems; Control Theory; Emergency Response |
Abstract |
The use of methods to inform changes of command and control has long been important, in particular through empirical surveys and computational simulation. In this article, we focus on a particular type of control: “bump less” time-shift of authority during emergency response where it is not desirable to interrupt task resolution (Dess et al.,1984). As an example we address a particular type of control in a sociotechnical use case, i.e. ensuring coordinated action among human and non-human entities, and specifically use as a case shift of who ensures coordinated action when what entities are participating fluctuate over time, yet there is a need to sustain coordination (e.g. due to criticality of sustained performance). We do some work to detail a sociotechnical control mechanism and we present methods for examining the influence such control may have on performing both planned, prescribed, organizational task work as well as dynamic, non-prescribed tasks (Stanton et al., 2018). We argue that measures of high fidelity, with high specificity, defined before task resolution (feedforward) may be particularly important in prescribed change due to the possibility to define clear goals for coordinating and detailing who holds coordination authority. For dynamic change, on the other hand supporting technology that enable a sensing and processing of feedback the number of agents/entities undergoing change is not predetermined and the change of who is best suited to coordinate authority is less clear. Our theorizing is illustrated by using traditional linear control theory emulating shift of control nuanced by an emergency use case. In conclusion, we suggest future directions for research as well as practical implications. |
Address |
Norwegian Defence Research Establishment; Norwegian Defence Research Establishment |
Corporate Author |
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Thesis |
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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 |
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Series Editor |
Hosssein Baharmand |
Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
|
Edition |
1 |
ISSN |
|
ISBN |
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Medium |
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Track |
Command and Control Studies |
Expedition |
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Conference |
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Notes |
http://dx.doi.org/10.59297/OQYD8914 |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2556 |
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Author |
Lindhagen, A.; Björnqvist, A.; Berggren, P. |
Title |
Supporting Instructors in Conducting Exercises |
Type |
Conference Article |
Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
Volume |
|
Issue |
|
Pages |
721-731 |
Keywords |
Instructor Work; Simulation; Crisis Management; Exercise; Learning |
Abstract |
Planning, designing, facilitating, and evaluating are central activities for instructors when conducting exercises. When conducting these activities, instructors usually rely on past experiences since structured educations or guides for instructors do not exist. It is therefore evident that there is a need for such educations or guides. In this study, the contents of a guide for instructors are proposed. The contents are based on seven semi-structured interviews with novel and experienced instructors, where they were asked to map their procedures for conducting exercises through a journey map. The interviews resulted in material which was transcribed and analysed using a thematic analysis. The thematic analysis emphasized five themes to consider when acting as an instructor, namely roles, realism, defining purpose and goals, learning, and planning and acting. The results from the interviews, combined with past literature, resulted in proposed contents for an instructor’s guide which is currently being developed. |
Address |
Center for Disaster Medicine and Traumatology, and Department of Biomedical and Clinical Sciences, Linköping University; Center for Disaster Medicine and Traumatology, and Department of Biomedical and Clinical Sciences, Linköping University; Center for Disaster Medicine and Traumatology, and Department of Biomedical and Clinical Sciences, Linköping University |
Corporate Author |
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Thesis |
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Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
Language |
English |
Summary Language |
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Original Title |
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Series Editor |
Hosssein Baharmand |
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 |
1 |
ISSN |
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ISBN |
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Medium |
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Track |
Command and Control Studie |
Expedition |
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Conference |
|
Notes |
http://dx.doi.org/10.59297/YXGM3592 |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2560 |
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Author |
Morand, O.; Safin, S.; Larribau, R.; Rizza, C.; Robert |
Title |
Using Photography as a Trace of Activity to Facilitate the Retention of Emergency Response Actions |
Type |
Conference Article |
Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
Volume |
|
Issue |
|
Pages |
773-783 |
Keywords |
Emergencies' Simulation; Photovoice; Experiential Learning; Bystanders; Chain of Survival |
Abstract |
The chances of survival of a victim of cardiac arrest or stroke decrease considerably without rapid intervention. Bystanders, the first people able to intervene, are however few to act. This ignorance of the seriousness signs of the pathologies, and of the importance of acting, combined with a feeling of incapacity to perform emergency gestures, are the main reasons for this low level of action. The absence of knowledge originates both from a lack of training and from forgetting training courses. To overcome this problem, some trainings propose high fidelity simulation devices associated with a debriefing to create a strong emotional impact leading to a stronger memory impact. To assess the impact of this type of simulation, we set up a Living Lab including a high fidelity simulation of emergency situations (with citizens, dispatchers, first responders and paramedics), a debriefing and a method to create a “trace of activity”, still aiming at generating a higher memory impact. To measure the effects of the Living Lab, we analyzed the emotional impacts evoked by the participants, categorized the learning and finally studied the creation of the activity trace. The results show that the Living-Lab elicits emotions (for the cardiac arrest scenario) and projections (for the stroke scenario) and can therefore potentially improve the retention. The learnings were of several natures: individual and practical learnings on emergency management, learnings on collaboration within the chain of survival and theoretical learnings. Analysis of the retained learning after 2 to 8 months is in progress, therefore no results are available yet. |
Address |
Télécom Paris IPP;HUG, Emergency Department, HUG |
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 |
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Original Title |
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Series Editor |
Hosssein Baharmand |
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 |
1 |
ISSN |
|
ISBN |
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Medium |
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Track |
Volunteers in Crisis Management/Emergency Response |
Expedition |
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Conference |
|
Notes |
http://dx.doi.org/10.59297/CRDS7073 |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2565 |
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Author |
Zeleskidis, A.; Chalarampidou, S.; Dokas, I.M.; Torra, F. |
Title |
COBOT Safety Awareness: A RealTSL Demonstration in a Simulated System |
Type |
Conference Article |
Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
Volume |
|
Issue |
|
Pages |
874-891 |
Keywords |
COBOT; Safety Awareness; STAMP; Simulation; Safety Level |
Abstract |
This work aims to propose the RealTSL methodology to empower collaborative robotic systems with self-safety awareness capability and address the methodology's limitation in determining time ranges for the unsafe system state transitions, which are inputs of the methodology. The COBOT system used in this paper to demonstrate RealTSL is an automated scissor lift robot to be used by first responders for “work at height,” simulated in Simulink™. The demonstration begins by 1) applying STPA to the system, 2) applying Early Warning Sign Analysis based on STAMP (EWaSAP), 3) creating an acyclic diagram that depicts system state transitions towards unsafe states, 4) incorporating the appropriate sensory equipment in the simulation, 5) simulating the system's operation for different scenarios using fault injection and finally 6) use information from the simulations to complete the RealTSL analysis and calculate the safety level of the system in real-time during its simulated operation. |
Address |
Democritus University of Thrace |
Corporate Author |
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Thesis |
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Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
Language |
English |
Summary Language |
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Original Title |
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Series Editor |
Hosssein Baharmand |
Series Title |
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Abbreviated Series Title |
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Series Volume |
|
Series Issue |
|
Edition |
1 |
ISSN |
2411-3387 |
ISBN |
979-8-218-21749-5 |
Medium |
|
Track |
Collaborative Robots for Emergency Situations |
Expedition |
|
Conference |
|
Notes |
http://dx.doi.org/10.59297/UTNC4052 |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2572 |
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Author |
Jane Barnett; William Wong; David Westley; Rick Adderley; Michelle Smith |
Title |
Startle points: A proposed framework for identifying situational cues, and developing realistic emergency training scenarios |
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 |
Information systems; Cognitive interview; Dynamic scenarios; Emergency scenario; Emergency training; Situation awareness; Startle points; Training simulation; Unexpected events; Decision making |
Abstract |
Real-world crises are not prescriptive and may contain unexpected events, described here as startle points. Including these events in emergency training simulator scenarios is crucial in order to prepare for startle points that may arise in the real world. Startle points occur when individuals who assess and monitor emergency scenarios, are suddenly faced with an unexpected event, and are unsure how to proceed. This paper offers a non-empirical framework that explores how cues generated by startle points affect decision making. Future research will use the framework to explore how experts and novices experience, and then adapt to startle points, as a function of decision mode, situation awareness, and emotional arousal. The resulting data can then be used to identify cues surrounding startle points and as a consequence, create dynamic scenarios for online training simulators so that individuals can prepare and adapt to them, and transfer acquired skills to real-world emergencies. |
Address |
Middlesex University, United Kingdom; A-E Solutions, 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 |
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 |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789724922478 |
Medium |
|
Track |
Command and Control Studies |
Expedition |
|
Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
287 |
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Author |
Kenny Meesters; Bartel A. Van De Walle |
Title |
Disaster in my backyard: A serious game introduction to disaster information management |
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 |
145-150 |
Keywords |
Disaster prevention; Information management; Information systems; Alternate reality game; Disaster information managements; Disaster management; Disaster response; Disaster scenario; Disaster simulation; Large scale simulations; Learning experiences; Disasters |
Abstract |
Disaster exercises are intended to improve disaster responses effectiveness. Exercises exist in a wide variety, ranging from table-top scenarios to full-scale disaster simulations, offering participants different learning experiences. However these exercises can be overwhelming to newcomers, especially when involving large scale simulations, reducing the effectiveness of the learning experience. In order to make the learning experiences more effective to newcomers, researchers or professionals, a new exercise is proposed. This exercise, designed as a serious game, provides a new way to introduce people to the field of disaster management in general and information management in particular. The first version of the game was played during the 2012 ISCRAM summer school where it yielded positive reactions from both novice participants and experienced professionals. |
Address |
Tilburg University, Netherlands |
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 |
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ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
|
Track |
Coordination and Collaboration |
Expedition |
|
Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
27 |
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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 |
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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 |
Alexandre Ahmad; Olivier Balet; Jesse Himmelstein; Arjen Boin; Maaike Schaap; Paolo Brivio; Fabio Ganovelli; Enrico Gobbetti; Giovanni Pintore; Jean-Baptiste De La Riviere |
Title |
Interactive simulation technology for crisis management and training: The INDIGO project |
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 |
Artificial intelligence; Augmented reality; Decision support systems; Image reconstruction; Information systems; Managers; Mobile devices; Personnel training; Common operational picture; Crisis management; Crisis simulations; Image-Based Rendering; Interactive simulations; Simulation software; Visualization systems and software; White board; Computer software |
Abstract |
To face the urgent need to train strategic and operational managers in dealing with complex crises, we are researching and developing an innovative decision support system to be used for crisis management and interactive crisis training. This paper provides an overview of current decision-support systems, simulation software and other technologies specifically designed to serve crisis managers. These findings inform the design of a new interactive simulation technology system, where a 3D Common Operational Picture (COP) is shared between tactile digital whiteboard in the command center and mobile devices in the field. © 2012 ISCRAM. |
Address |
DIGINEXT, France; CRISIS PLAN, France; ISTI, CNR, France; CRS4, Italy; IMMERSION, France |
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 |
|
ISSN |
2411-3387 |
ISBN |
9780864913326 |
Medium |
|
Track |
Open Track |
Expedition |
|
Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
68 |
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Author |
Narjès Bellamine-Ben Saoud; Julie Dugdale; Bernard Pavard; Mohamed Ben Ahmed; Tarek Ben Mna; Néjia Ben Touati |
Title |
Towards planning for emergency activities in large-scale accidents: An interactive and generic agent-based simulator |
Type |
Conference Article |
Year |
2004 |
Publication |
Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2004 |
Volume |
|
Issue |
|
Pages |
173-177 |
Keywords |
Autonomous agents; Information systems; Simulators; User interfaces; Virtual reality; Agent based simulation; Generic; Interactive; Organizing; Rescue plans; Accidents |
Abstract |
In this paper we describe the design and development of an interactive and generic agent based simulator, providing valuable support for organizing the emergency rescue plans of a large-scale accident. Analysis of real rescue activities has been conducted in collaboration with medical experts in order to understand the collaborative process and the involved actors and features. Based on the emergency analysis, an agent-based model and simulator was constructed including (1) the autonomous Agents – representing victims with evolving illness and rescuers (doctors, nurses, fireman) collaborating to rescue the first ones; (2) the Environment -representing the accident site having obstacles and dangerous areas and where the victims are initially spread and the doctors move to explore -perceive – treat and helpers evacuate; (3) the Interactions between rescuers – exploring collectively, evacuating by pairs, communicating directly or via artefacts- (4) the Organization of actors as distributed “independent” sub-teams in various site sub-zones or as a centralized whole team conducted by the rescue chief; and (5) the User interfaces allowing mainly initial configuration of the simulations (e.g. number of victims and states, followed strategies, rescuers behaviours), continuous visual control of the process of rescuing (e.g. site overview with acting-interacting agents, graphics, text descriptions), dynamic changes of parameters of an on-going simulation (e.g. adding new victims, adding new rescuers, or adding dangerous zones or new obstacles on sites) as well as step-by-step simulation. This simulation shows that it is possible to create a virtual environment with cooperating agents interacting in a dynamic environment. On-line and off-line analysis of simulation traces and results enable us first understanding complex situations in rescuing activities in large-scale accidents, and than planning for responding to crisis situation. This simulation approach is useful for identifying the best scenarios and eliminating potential catastrophic combinations of parameters and values, where rescue performance could be significantly impacted. © Proceedings ISCRAM 2004. |
Address |
RIADI-GDL Laboratory, ENSI, Campus Universitaire, 2010 la Manouba, Tunisia; GRIC-IRIT UPS-CNRS (UMR 5505), Université Paul Sabatier, 118 Route de Narbonne, 31062 Toulouse Cedex, France; IIHM CLIPS-IMAG, 385 Rue de la Bibliothèque, 38041 Grenoble Cedex 9, France |
Corporate Author |
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Thesis |
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Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Brussels |
Editor |
B. Van de Walle, B. Carle |
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 |
9076971080 |
Medium |
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Track |
Emergency Response Simulation and Training Systems |
Expedition |
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Conference |
1st International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
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Serial |
80 |
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