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Author (up) Ahmed Abdeltawab Abdelgawad; Jose J. Gonzalez
Title Reliability of expert estimates of cascading failures in Critical Infrastructure Type Conference Article
Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019
Volume Issue Pages 2-21
Keywords Expert assessment; Desktop exercise; Tabletop exercise; Modeling and simulation; Dynamic complexity
Abstract Even though satellite-based positioning technology allows rescue workers to already operate efficiently, GPS availability, reliability, and accuracy are often poor during fire operations, for example due to thick smoke, dense forests, rough terrain and inside buildings. In this context, the objective of AIOSAT (Autonomous Indoor & Outdoor Safety Tracking System) is to progress beyond the state of the art by defining the AIOSAT concept that aims to overcome aforementioned limitations of GNSS usage in rescue interventions. For this purpose, GNSS positions are enhanced with EGNOS and fused with position information inferred from IMU and RF
Address Centre for Integrated Emergency Management (CIEM), University of Agder, Norway
Corporate Author Thesis
Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium
Track T1- Analytical Modeling and Simulation Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
Notes ahmedg@uia.no; jose.j.gonzalez@uia.no Approved no
Call Number Serial 1697
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Author (up) Andrew J. Hampton; Shreyansh Bhatt; Alan Smith; Jeremy Brunn; Hemant Purohit; Valerie L. Shalin; John M. Flach; Amit P. Sheth
Title Constructing Synthetic Social Media Stimuli for an Emergency Preparedness Functional Exercise 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 181-189
Keywords Social media; emergency preparedness; synthetic microblog corpus; disaster response training
Abstract This paper details the creation of a massive (over 32,000 messages) artificially constructed ‘Twitter’ microblog stream for a regional emergency preparedness functional exercise. By combining microblog conversion, manual production, and a control set, we created a web-based information stream providing valid, misleading, and irrelevant information to public information officers (PIOs) representing hospitals, fire departments, the local Red Cross, and city and county government officials. Addressing the challenges in constructing this corpus constitutes an important step in providing experimental evidence that complements observational study, necessary for designing effective social media tools for the emergency response setting. Preliminary results in the context of an emergency preparedness exercise suggest how social media can participate in the work practice of a PIO concerning the assessment of the disaster and the dissemination of information within the emergency response organization and to the public.
Address University of Memphis; Wright State University; George Mason University
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds
Language English Summary Language English Original Title
Series Editor Series Title 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 1456
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Author (up) Anying Chen; Guofeng Su; Manchun Liang
Title Simulation of Crowd Response During Emergency Considering People’s Rational and Irrational Thinking Type Conference Article
Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019
Volume Issue Pages 126-138
Keywords Crowd response; simulation; emergency; herd effect.
Abstract Human beings have been facing numerous emergencies which could threaten their property or even their lives in all ages. In order to learn how people respond to the emergencies like earthquakes and fire disasters, a two-stage simulation considering people’s rational and irrational thinking was conducted. Results show that people’s irrational thinking, like the herd effect, could exaggerate people’s behavior of conformity, and it changes the spatial features that stronger herd effect leads to higher cohesion level. It is also worth mentioning that crowd response under condition of smaller population is harder to predict because of its instability, and the response of the very first part of people who make decisions could make great changes to the whole crowd’s response. These results could give some enlightenment on the evacuation instruction during emergencies and future research works.
Address Tsinghua University, People's Republic of China
Corporate Author Thesis
Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium
Track T1- Analytical Modeling and Simulation Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
Notes cay1124@163.com; sugf@tsinghua.edu.cn; lmc@mail.tsinghua.edu.cn Approved no
Call Number Serial 1706
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Author (up) 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 diË™erent 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 Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds
Language English Summary Language English Original Title
Series Editor Series Title 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 1447
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Author (up) Christopher W. Zobel; Milad Baghersad; Yang Zhang
Title Calling 311: evaluating the performance of municipal services after disasters 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 164-172
Keywords Resilience; Municipal Departments; 311 Service Center; Disaster; Critical Infrastructure
Abstract As part of a movement towards enabling smart cities, a growing number of urban areas in the USA, such as New York City, Boston, and Houston, have established 311 call centers to receive service requests from their citizens through a variety of platforms. In this paper, for the first time, we propose to leverage the large amount of data provided by these non-emergency service centers to help characterize their operational performance in the context of a natural disaster event. We subsequently develop a metric based on the number of open service requests, which can serve as the basis for comparing the relative performance of different departments across different disasters and in different geographic locations within a given urban area. We then test the applicability and usefulness of the approach using service request data collected from New York City’s 311 service center.
Address Virginia Tech
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds
Language English Summary Language English Original Title
Series Editor Series Title 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 1454
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Author (up) Daniel Iland; Elizabeth Belding
Title Dynamic, Data-Driven Optimization of Solar Powered Charging Kiosks for Crisis Response 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 Solar Power; Charging Kiosk; Emergency Power; Current Limiting; Rapid Reconfiguration
Abstract In this paper, we describe methodologies for using portable, solar powered charging kiosks to provide mobile phone charging to communities following a disaster. We do not strive to provide a comprehensive alternative to grid power, rather we focus on charging mobile phones and other battery-powered devices. The small size of portable solar systems come with a trade-off: demand for power may exceed battery capacity and solar power generation. In such cases, power output must be regulated in order to maintain the functionality of the system, or the system may be modified to produce more power by adding more solar panels, or to store more power by adding additional batteries. We model user demand for power and kiosk power generation, battery status, and power output to inform the development, deployment, operation and reconfiguration of such kiosks following a disaster.
Address
Corporate Author Thesis
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
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-84-608-7984-21 Medium
Track Analytical Modeling and Simulation Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 1340
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Author (up) Duygu Pamukçu; Christopher William Zobel; Andrew Arnette
Title A New Data-Driven Approach to Measuring Hurricane Risk Type Conference Article
Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019
Volume Issue Pages 151-157
Keywords Risk; Severity; Natural hazard; Analytic methods
Abstract Improving disaster operations requires understanding and managing risk. This paper proposes a new data-driven approach for measuring the risk associated with a natural hazard, in support of developing more effective approaches for managing disaster operations. The paper focuses, in particular, on the issue of defining the inherent severity of a hazard event, independent of its impacts on human society, and concentrates on hurricanes as a specific type of natural hazard. After proposing a preliminary severity measure in the context of a hurricane, the paper discusses the issues associated with collecting empirical data to support its implementation. The approach is then illustrated by comparing the relative risk associated with two different locations in the state of North Carolina subject to the impacts of Hurricane Florence in 2018.
Address (1) Virginia Tech, United States of America; (2) University of Wyoming, United States of America
Corporate Author Thesis
Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium
Track T1- Analytical Modeling and Simulation Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
Notes duygu@vt.edu; czobel@vt.edu; aarnette@uwyo.edu Approved no
Call Number Serial 1708
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Author (up) Eric Daudé; Kevin Chapuis; Clément Caron; Alexis Drogoul; Benoit Gaudou; Sebastien Rey-Coyrehourq; Arnaud Saval; Patrick Taillandier; Pierrick Tranouez; Jean-Daniel Zucker
Title ESCAPE: Exploring by Simulation Cities Awareness on Population Evacuation Type Conference Article
Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019
Volume Issue Pages 76-93
Keywords Evacuation; Agent-based modelling; Crisis event; GAMA platform
Abstract Horizontal evacuation of populations in urban areas is an important prevention measure against a natural or technological risk. However, casualties during massive displacement in a context of stress and in a potentially degraded environment may be high. The development of organizational plans is therefore fundamental to avoid death caused by bad evacuation training. As those plans can be hardly evaluated on the ground before crisis, there is a need for realistic models in order to evaluate them using simulations. In this paper, we present the ESCAPE software framework that aims at supporting the development of such models. Using the GAMA open-source platform as a core component, it provides an agent-based simulation tool to study evacuation of a city at fine temporal and geographical scales. Two applications are presented: the city of Rouen (France) in the context of a technological hazard and a district of Hanoi (Vietnam) in a flood context.
Address (1) Université de Normandie, UMR 6266, IDEES, Rouen, France; (2) Sorbonne University, IRD, UMMISCO; (3) University of Rouen Normandie, EA LITIS; (4) University of Toulouse, INRA, MIAT; (5) University of Toulouse Capitole, IRIT
Corporate Author Thesis
Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium
Track T1- Analytical Modeling and Simulation Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
Notes eric.daude@cnrs.fr; kevin.chapuis@gmail.com; caron.clement@gmail.com; alexis.drogoul@gmail.com; benoit.gaudou@gmail.com; sebastien.rey-coyrehourcq@univ-rouen.fr; arnaud.saval@univ-rouen.fr; patrick.taillandier@gmail.com; pierrick.tranouez@univ-rouen.fr; jdzucker@gmail.com Approved no
Call Number Serial 1702
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Author (up) Flavio Dusse; Renato Novais; Manoel Mendonça
Title Understanding the Main Themes Towards a Visual Analytics Based Model for Crisis Management Decision-Making Type Conference Article
Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019
Volume Issue Pages 51-63
Keywords Crisis Management; Decision-Making; Visual Analytics; Computational Model.
Abstract We designed a survey protocol to understand which themes influence visualizations to support Crisis Management (CM). In previous work, we carried out systematic mapping studies, analysis of official documents, ethnographic studies, questionnaires during the large events held in Brazil in recent years. In this work, we interviewed eight CM specialists. We analyzed this data qualitatively with the coding technique. Then we evaluated the coding results with the focus group technique. With the results, we identified the relationships between the visual needs and other main themes of influence for CM. This thematic synthesis enabled us to build a draft model based on Visual Analytics. We hope that, after future cycles of validations and improvements, the agencies that manage crises might use this model as a reference in their activities of knowledge production and decision-making.
Address (1) UFBA, Brazil; (2) IFBA, Brazil
Corporate Author Thesis
Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium
Track T1- Analytical Modeling and Simulation Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
Notes dussebr@dcc.ufba.br; renato@ifba.edu.br; manoel.mendonca@ufba.br Approved no
Call Number Serial 1700
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Author (up) Flavio Dusse; Renato Novais; Manoel Mendonça
Title Investigating the Use of Visual Analytics to Support Decision-Making in Crisis Management: A Multi-Method Approach 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 83-98
Keywords Data Collection Methods; Crisis Management; Decision-Making; Visual Analytics.
Abstract Like Crisis Management (CM) itself, Visual Analytics (VA) is a multi-disciplinary research area and is potentially useful to analyze and understand the huge amount of multidimensional data produced in a crisis. Our work investigates how researchers and practitioners are using VA in decision-making in CM. This paper firstly reports on a systematic mapping study to analyze the available information visualization tools and their applications in CM. To complement this information, we report on questionnaires and ethnographic studies applied during the large events held in Brazil in recent years. Then, we analyzed existing tools for visualizing crisis information. Lastly, we analyzed the data gathered from interviews with six professional crisis managers. The compiled results show that the full potential of VA is not being applied in the state-of-the-art and state-of-the-practice. We consider that further researches in the application of VA is required to improve decision-making processes in crisis management.
Address
Corporate Author Thesis
Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszewski
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium
Track Analytical Modeling and Simulation Expedition Conference ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management
Notes dussebr@dcc.ufba.br Approved no
Call Number Serial 1540
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Author (up) Gerhard Rauchecker; Guido Schryen
Title Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief 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 69-82
Keywords Coordination of spontaneous volunteers; volunteer coordination system; decision support; scheduling optimization model; linear programming
Abstract When responding to natural disasters, professional relief units are often supported by many volunteers which are not affiliated to humanitarian organizations. The effective coordination of these volunteers is crucial to leverage their capabilities and to avoid conflicts with professional relief units. In this paper, we empirically identify key requirements that professional relief units pose on this coordination. Based on these requirements, we suggest a decision model. We computationally solve a real-world instance of the model and empirically validate the computed solution in interviews with practitioners. Our results show that the suggested model allows for solving volunteer coordination tasks of realistic size near-optimally within short time, with the determined solution being well accepted by practitioners. We also describe in this article how the suggested decision support model is integrated in the volunteer coordination system, which we develop in joint cooperation with a disaster management authority and a software development company.
Address
Corporate Author Thesis
Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszewski
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium
Track Analytical Modeling and Simulation Expedition Conference ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management
Notes gerhard.rauchecker@ur.de Approved no
Call Number Serial 1539
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Author (up) Haitao Sun; Zhiru Wang; Guofeng Su; Jianguo Chen
Title Topological Structure Vulnerability Assessment of Shanghai Urban Metro Networks 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 Urban Metro Networks; Vulnerability; Robustness; Target Attack; Random Failure
Abstract Topological structure vulnerability assessment approach for Urban Metro Networks (UMNS) was proposed in order to decrease the impact caused by incidents. Failure scale of stations and sections random failure and target attacks was evaluated. The results show that UMNS is more vulnerable to target attacks on stations than random failure on stations. But UMNS is less vulnerable to target attacks on sections than random failure on sections. Additionally, UMNS is more vulnerable to station failure than sections. It could be concluded as more resources should be put on big transfer stations in UMNS operation management to avoid large scale impacts. The proposed methodology is not intended to predict the occurrence of events but rather to be used a management tool. Results from the evaluation are valuable elements in planning UMNS. They can be used for network planning, further detailed hazard studies, deciding on the arrangement of emergency resources.
Address
Corporate Author Thesis
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
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-84-608-7984-22 Medium
Track Analytical Modeling and Simulation Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 1341
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Author (up) Haya Aldossary; Graham Coates
Title A Preliminary Optimisation-based Approach to Coordinate the Response of Ambulances in Mass Casualty Incidents Type Conference Article
Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019
Volume Issue Pages 139-150
Keywords MCIs; Optimization-based approach; Co-ordination; Emergency response.
Abstract Mass Casualty Incidents (MCIs) may occur with no notice and require a rapid response to manage the casualties and arrange their transportation to hospitals. MCIs may result in different numbers of casualties and fatalities. Further, response time can play a crucial role in reducing fatalities and protecting lives. This paper reports on a preliminary optimisation-based approach, termed MCIER, which has been developed to co-ordinate the response of ambulances to multiple MCIs. In this approach, a realistic representation of the road network is modelled for the geographical area of interest. Also, a Neighbourhood Search Algorithm has been developed in order to find the optimum solution to the problem under consideration. A hypothetical case study of a MCI in Newcastle-upon-Tyne has been considered to investigate the effect on response time of the time of day, and day of week, on which the incident occurs.
Address Newcastle University, United Kingdom
Corporate Author Thesis
Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium
Track T1- Analytical Modeling and Simulation Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
Notes h.aldossary2@newcastle.ac.uk; graham.coates1@newcastle.ac.uk Approved no
Call Number Serial 1707
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Author (up) Jacob L. Graham; Mark B. Stephens
Title Analytic Decision Gaming – A Tool to Develop Crisis Response and Clinical Reasoning 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 60-68
Keywords Clinical reasoning; crisis response; medical school; scenario-based training; analytic decision game.
Abstract Emerging threats provide motivation to develop new methods for preparing the next generation of crisis responders. Bayesian theory shifts reasoning toward a probabilistic, epistemic paradigm, giving rise to Evans’ revised heuristic-analytic theory. Researchers at The Pennsylvania State University use scenario-based training and the analytic decision game (ADG) to blend and implement these processes as foundational pedagogy for engaging, educating and training medical students as crisis responders and critical thinkers. The ADG scenarios vary by content and level of expertise, lending themselves readily adaptable to both crisis response preparation and the development of clinical reasoning. The ADG creates a virtual crisis requiring participants to engage in scenario management as role-players. For the past two years, medical students from the Penn State College of Medicine, in their first year of training, have participated in the ADG Lights Out scenario, testing community preparation and resilience after a wide-spread and months-long power outage.
Address
Corporate Author Thesis
Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszewski
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium
Track Analytical Modeling and Simulation Expedition Conference ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management
Notes jlg34@psu.edu Approved no
Call Number Serial 1537
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Author (up) Juan Francisco Carías; Leire Labaka; Jose Maria Sarriegi; Andrea Tapia; Josune Hernantes
Title The Dynamics of Cyber Resilience Management Type Conference Article
Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019
Volume Issue Pages 64-75
Keywords Cyber resilience; System dynamics; Critical infrastructure protection (CIP)
Abstract With the latent problem of security breaches, denial of service attacks, other types of cybercrime, and cyber incidents in general, the correct management of cyber resilience in critical infrastructures has become a high priority. However, the very nature of cyber resilience, requires managing variables whose effects are hard to predict, and that could potentially be expensive. This makes the management of cyber resilience in critical infrastructures a substantially hard task. To address the unpredictability of the variables involved in managing cyber resilience, we have developed a system dynamics model that represents the theoretical behaviors of variables involved in the management of cyber resilience. With this model, we have simulated different scenarios that show how the dynamics of different variables act, and to show how the system would react to different inputs
Address (1) University of Navarra, TECNUN, Spain; (2) Pennsylvania State University, USA
Corporate Author Thesis
Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium
Track T1- Analytical Modeling and Simulation Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
Notes jfcarias@tecnun.es; llabaka@tecnun.es; jmsarriegi@tecnun.es; axh50@psu.edu; jhernantes@tecnun.es Approved no
Call Number Serial 1701
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Author (up) Julius Bañgate; Julie Dugdale; Carole Adam; Elise Beck
Title A Review on the Influence of Social Attachment on Human Mobility During Crises 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 110-126
Keywords Multi agent modelling; social attachment; affiliation human behaviour; mobility
Abstract Human behaviour during crisis evacuations is social in nature. In particular, social attachment theory posits that proximity of familiar people, places, objects, etc. promotes calm and a feeling of safety, while their absence triggers panic or flight. In closely bonded groups such as families, members seek each other and evacuate as one. This makes attachment bonds necessary in the development of realistic models of mobility during crises. In this paper, we present a review of evacuation behaviour, theories on social attachment, crises mobility, and agent-based models. We found that social attachment influences mobility in the di˙erent stages of evacuation (pre, during and post). Based on these findings, we intend to develop a multi-agent model of mobility during seismic crises, using the belief, desire and intention (BDI) agent architecture.
Address LIG, University Grenoble-Alpes, France; PACTE, University Grenoble-Alpes, France; University of Adger, Norway
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds
Language English Summary Language English Original Title
Series Editor Series Title 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 1450
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Author (up) Lauren Bateman; Erica Gralla
Title Evaluating Strategies for Intra-Organizational Information Management in Humanitarian Response 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 145-157
Keywords information management; agent based model; humanitarian response
Abstract Information management is critical in humanitarian response, yet intra-organizational information management practices have not been well-studied. This paper evaluates several strategies for intra-organizational information management. An agent-based model represents the dynamics of information-gathering and -sharing, in order to examine the impact of each strategy on (1) the time required to acquire adequate information for decision-making and (2) the amount of excess information acquired in the process. The results show that holding regular information-sharing meetings significantly reduces the time to acquire adequate information, but does not reduce information overload; however, deploying an information management specialist reduces both time required and information overload. The results support recommendations for humanitarian organizations deciding how to improve their internal information management approaches.
Address
Corporate Author Thesis
Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszewski
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium
Track Analytical Modeling and Simulation Expedition Conference ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management
Notes lrbateman@gwu.edu Approved no
Call Number Serial 1544
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Author (up) Lida Huang; Guoray Cai; Hongyong Yuan; Jianguo Chen; Yan Wang; Feng Sun
Title Modeling Threats of Mass Incidents Using Scenario-based Bayesian Network Reasoning 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 121-134
Keywords Bayesian network; mass incidents; threat assessment; scenario analysis; interpretive structural modeling.
Abstract Mass incidents represent a global problem, putting potential threats to public safety. Due to the complexity and uncertainties of mass incidents, law enforcement agencies lack analytical models and structured processes for anticipating potential threats. To address such challenge, this paper presents a threat analysis framework combining the scenario analysis method and Bayesian network (BN) reasoning. Based on a case library
Address
Corporate Author Thesis
Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszewski
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium
Track Analytical Modeling and Simulation Expedition Conference ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management
Notes hld14@mails.tsinghua.edu.cn Approved no
Call Number Serial 1542
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Author (up) Maël Arnaud; Carole Adam; Julie Dugdale
Title The role of cognitive biases in reactions to 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 85-96
Keywords Multi-agent modelling; social simulation; cognitive biases; BDI paradigm; Victoria bushfires
Abstract Human behaviour is influenced by many psychological factors such as emotions, whose role is already widely recognised. Another important factor, and all the more so during disasters where time pressure and stress constrain reasoning, are cognitive biases. In this paper, we present a short overview of the literature on cognitive biases and show how some of these biases are relevant in a particular disaster, the 2009 bushfires in the South-East of Australia. We provide a preliminary formalisation of these cognitive biases in BDI (beliefs, desires, intentions) agents, with the goal of integrating such agents into agent-based models to get more realistic behaviour. We argue that taking such ”irrational” behaviours into account in simulation is crucial in order to produce valid results that can be used by emergency managers to better understand the behaviour of the population in future bushfires.
Address Univ. Grenoble Alpes, LIG, F-38000
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds
Language English Summary Language English Original Title
Series Editor Series Title 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 1448
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Author (up) Marco Polo Ruiz Herrera; Juan Sánchez Díaz
Title Improving Emergency Response through Business Process, Case Management, and Decision Models Type Conference Article
Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019
Volume Issue Pages 116-125
Keywords Emergency response; Knowledge-intensive business; Business Process Model and Notation; Case Management Model and Notation; Decision Model and Notation
Abstract The emergency procedures contain a set of actions responsible for providing the necessary corrective measures to address an emergency. The relevance of contextual knowledge during emergency responses is of utmost importance since many decisions are made from the information gathered in real time that sometimes conflicts with the formal knowledge specified in the emergency plan. Consequently, tools that support the emergency plan mentioned must be sensitive to context and allow decision making at the time an emergency takes place. We demonstrate how Case Management Modeling Notation (CMMN) along with Decision Model and Notation (DMN) are very suitable approaches to obtain a flexible model adapted to the context-driven response processes.
Address Universitat Politècnica de València, Spain
Corporate Author Thesis
Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium
Track T1- Analytical Modeling and Simulation Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
Notes marruih1@posgrado.upv.es; jsanchez@dsic.upv.es Approved no
Call Number Serial 1705
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Author (up) Mark Parent; Jean-François Gagnon; Tiago H. Falk; Sébastien Tremblay
Title Modeling the Operator Functional State for Emergency Response Management 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 Emergency Management; Simulation; Operator Functional State; Mental Workload; Stress
Abstract New technologies are available for emergency management experts to help them cope with challenges such as information overload, multitasking and fatigue. Among these technologies, a wide variety of physiological sensors can now be deployed to measure the Operator Functional State (OFS). To be truly useful, such measures should not only characterize the overall OFS, but also the specific dimensions such as stress or mental workload. This experiment aimed to (1) design a multi-dimensional model of OFS, and (2) test its application to an emergency management situation. First, physiological data of participants were collected during controlled experimental tasks. Then, a support vector classifier of mental workload and stress was trained. Finally, the resulting model was tested during an emergency management simulation. Results suggest that the model could be applied to emergency management situations, and leave the door open for its application to emergency response on the field.
Address
Corporate Author Thesis
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
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-84-608-7984-19 Medium
Track Analytical Modeling and Simulation Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 1337
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Author (up) Maude Arru; Elsa Negre
Title People Behaviors in Crisis Situations: Three Modeling Propositions 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 139-149
Keywords Behaviors; modeling, crisis management; data analysis
Abstract Warnings can help to prevent damages and harm if they are issued timely and provide information that help responders and population to adequately prepare for the disaster to come. Today, there are many indicator and sensor systems that are designed to reduce disaster risks. These systems have proved to be eË™ective. Unfortunately, as all systems including human beings, a part of unpredictable remains. Indeed, each person behaves diË™erently when a problem arises. In this paper, we focus on people behaviors in crisis situations: from the definition of factors that impact human behavior to the integration of these behaviors, with three diË™erent modeling propositions, into a warning system in order to have more and more eÿcient crisis management systems.
Address Paris-Dauphine University PSL Research University CNRS, LAMSADE 75016 Paris, France;
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds
Language English Summary Language English Original Title
Series Editor Series Title 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 1452
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Author (up) Meshal Alharbi; Graham Coates
Title Assessing Flood Recovery of Small Businesses using Agent-Based Modelling and Simulation Type Conference Article
Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019
Volume Issue Pages 94-104
Keywords SMEs; agent-based modelling and simulation; flooding; short-term recovery; manufacturing and retail.
Abstract In developed countries, small and medium-sized enterprises (SMEs) represent the majority of all businesses, e.g. 99.9% in the UK. Given this significant proportion, any disruption to the operation of SMEs will have a negative impact on a nation’s economy. In the context of flooding, this paper reports on the use of agent-based modelling and simulation (ABMS) to assess SMEs immediate response and short-term recovery. In particular, it focuses on the interactions between manufacturing SMEs and mutual aid partners, and retail SMEs and companies specializing in refurbishing premises. Results show that a manufacturing SME with a mutual aid partner can reduce loss in production by approximately 6% over a 7 working day period. In relation to retail SMEs, those with employees able to be allocated to refurbish its premises recovered faster than SMEs employing a refurbishment company, potentially one day earlier.
Address (1) Durham University, United Kingdom; (2) Newcastle University, United Kingdom
Corporate Author Thesis
Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium
Track T1- Analytical Modeling and Simulation Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)
Notes meshal.g.alharbi@durham.ac.uk; Graham.Coates1@newcastle.ac.uk Approved no
Call Number Serial 1703
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Author (up) Michael Bartolacci; Stanko Dimitrov
Title A Network Interdiction Perspective for Providing Emergency Communications: An Analysis for Promoting Resiliency Subject to Resource Constraints and Security Concerns 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 Emergency Communications; Network Interdiction Model
Abstract Disasters, whether natural or manmade, and other types of emergencies create the need for immediate and secure communications between and among the affected populace, governmental agencies, non-governmental organizations (NGOs) and other types of emergency responders. It is through these communications that the affected populace is able to show resilient behavior, both psychologically and economically. A network interdiction model is proposed that can be utilized to create a more reliable design for such a communications network against the motives of would-be attackers whose aim it is to disrupt emergency communications and inflict damage on the affected populace. The contribution of this work is the application of the network interdiction modeling framework to an emergency communication scenario.
Address
Corporate Author Thesis
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
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-84-608-7984-23 Medium
Track Analytical Modeling and Simulation Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 1342
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Author (up) Miriam Klein; Eric Rigaud; Marcus Wiens; Anouck Adrot; Frank Fiedrich; Nour Kanaan; Andreas Lotter; Farnaz Mahdavian; Yannic Schulte; Frank Schultmann
Title A Multi-Agent System for Studying Cross-Border Disaster Resilience 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 135-144
Keywords Multi-agent system; disaster resilience; coordination procedures; cross-border cooperation; volunteer management
Abstract Resilience to disasters depends on measures taken before, during and after the occurrence of adverse events. These measures require interactions between people belonging to different organizations (public, private, non-profit) and citizens in normal and stressful situations. The efficiency of resilience measures results from the collective interaction of individuals, groups of individuals, and organizations, as well as the situational characteristics of the decision environment. The aim of the French-German research project INCA is to develop a decision support framework for improving cross-border area resilience to disasters. This project comprises the design and the implementation of a multi-agent system with the objective to study the behavioral and organizational implications of cross-border cooperation for crisis management and disaster resilience. The analyzed measures focus on citizens who require medical support and the integration of volunteers into the crisis management procedure. This paper outlines the potentials of the multi-agent system and provides first implementation insights.
Address
Corporate Author Thesis
Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszewski
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium
Track Analytical Modeling and Simulation Expedition Conference ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management
Notes miriam.klein@kit.edu