Venkata Kishore Neppalli, Murilo Cerqueira Medeiros, Cornelia Caragea, Doina Caragea, Andrea Tapia, & Shane Halse. (2016). Retweetability Analysis and Prediction during Hurricane Sandy. In A. Tapia, P. Antunes, V.A. Bañuls, K. Moore, & J. Porto (Eds.), ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management. Rio de Janeiro, Brasil: Federal University of Rio de Janeiro.
Abstract: Twitter is a very important source for obtaining information, especially during events such as natural disasters. Users can spread information in Twitter either by crafting new posts, which are called ?tweets,? or by using retweet mechanism to re-post the previously created tweets. During natural disasters, identifying how likely a tweet is to be highly retweeted is very important since it can help promote the spread of good information in a network such as Twitter, as well as it can help stop the spread of misinformation, when corroborated with approaches that identify trustworthy information or misinformation, respectively. In this paper, we present an analysis on retweeted tweets to determine several aspects affecting retweetability. We then extract features from tweets? content and user account information and perform experiments to develop models that automatically predict the retweetability of a tweet in the context of the Hurricane Sandy.
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Anuradha Venkateswaran, Katrina Simon-Agolory, & Kera Z. Watkins. (2011). Risk analysis for Greene County and Wright Patterson Air Force Base, Ohio: Simulation of riverine flooding using HAZUS-MH. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Greene County in Dayton, OH houses Wright Patterson Air Force Base (WPAFB), whose estimated 2009 economic impact within its Metropolitan Statistical Area (MSA) is $5.17 million. Despite its military/strategic importance as the largest base in the U.S. Air Force, literature search did not uncover a published comprehensive risk analysis for WPAFB, or even Greene County, across the entire spectrum of hazards from natural to technological to man-made (including terrorism). This paper presents a summary report on risk determination and economic impact data for Greene County and WPAFB (within Greene County) in the context of riverine flooding, using FEMA's HAZUS-MH tool. It is hoped that the results will further the regional compilation of data and thus prove of use to the local disaster management community while generally growing the overall body of work in risk analysis. Future work aims to expand regional risk determination to other natural disasters and terrorism scenarios.
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Viavattene Christophe, Priest Sally, Owen Damon, Parker Dennis, Micou Paula, & Ly Sophie. (2016). INDRA Model: For A Better Assessment of Coastal Events Disruptions. In A. Tapia, P. Antunes, V.A. Bañuls, K. Moore, & J. Porto (Eds.), ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management. Rio de Janeiro, Brasil: Federal University of Rio de Janeiro.
Abstract: Natural hazards such as extreme coastal events can generate indirect impacts extending far beyond the exposed areas and the direct aftermath of the event. The recognition of such impacts in risk assessment is essential for preparing, mitigating against such events and for increasing the resilience of coastal communities. However the assessment is often limited to the direct impacts. This paper proposes new methodologies for assessing the indirect impacts of coastal storm events. Eight impacts are considered in the approach: household displacement, a financial recovery of households and businesses, business supply chain disruption, ecosystem recovery, risk to life, utility and transport disruptions. These methodologies are incorporated in the open-source INDRA model (INtegrated DisRuption Assessment) to compare and identify hotspots at a regional using a multi-criteria analysis.
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Victor A. Bañuls, Cristina López-Vargas, Fernando Tejedor, Murray Turoff, & Miguel Ramirez de la Huerga. (2016). Validating Cross-Impact Analysis in Project Risk Management. In A. Tapia, P. Antunes, V.A. Bañuls, K. Moore, & J. Porto (Eds.), ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management. Rio de Janeiro, Brasil: Federal University of Rio de Janeiro.
Abstract: Companies work increasingly more on projects as a means of executing organizational decisions. However, too many enterprise projects result in failure. Hence, firms should follow a risk management method that drives their projects toward success. Nevertheless, project managers often deal with risks intuitively. This is partly because they lack the proper means to correctly manage the underlying risks which affect the entire cycle of their projects. Therefore, one purpose is to identify the critical events that managers may encounter before the beginning of the project and during its development. In addition, we propose CIA-ISM to represent existing relationships between the unforeseen events in the project?s lifetime and their key performance indicators. This also predicts the influence of risks on project performance over time by means of scenarios. The tool proposed would thus help practitioners to manage enterprise projects risks in a more effective and proactive way. We have validated the predictive capability of the CIA-ISM model with 22 real projects. The results show a high level of predictive capability in terms of risk analysis and key performance indicators.
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Viktor Sköld Gustafsson, Tobias Andersson Granberg, Sofie Pilemalm, & Martin Waldemarsson. (2022). Managing Natural Hazards in Sweden Needs for Improved Information and Decision Support Systems. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings 19th International Conference on Information Systems for Crisis Response and Management (pp. 376–384). Tarbes, France.
Abstract: This paper explores opportunities for information systems to support emergency response to multiple natural hazards. Interviews were conducted with 12 representatives from actors of the Swedish emergency response system about response to multiple natural hazards. Challenges and needs connected to five themes influencing the response effort were identified: Cooperation, Resource management, Command and control, Common operational picture, and Risk management. The results illuminate a lack of technology to support decisions and analyses during emergency response to both single and multiple natural hazards. Based on this, the paper suggests and discusses information systems and decision support tools to assist in satisfying the identified needs. The findings can inform policy makers in emergency response of where to concentrate the development of collaborative preparedness and response work, and the scientific community of future research directions.
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David J. Wald. (2013). Adding secondary hazard and ground-truth observations to PAGER's loss modeling. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 586–591). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: A rapid, holistic view of earthquake disasters begins with earthquake location and magnitude, alerted by seismic networks. The initial source characteristics, along with any available ground-shaking observations, can be used to rapidly estimate the shaking extent, its severity (e.g., ShakeMap), and its likely impact to society, for example, employing the U.S. Geological Survey's Prompt Assessment of Global Earthquakes for Response, or PAGER, system. When serous impacts are likely, PAGER's impact-based alerts can, in turn, begin the process of primary response at the local, national, or international level, and the process of reconnaissance via social media, the mainstream media, scientific analyses, and remotely-sensed and ground-truth observations. In this work-in-progress report, we describe our initial efforts to incorporate event-specific ground-truth observations and model secondary ground-failure hazards back into the loss-modeling domain in order to provide a more holistic view each earthquake disaster.
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Jian Wang, Daniela Rosca, Williams Tepfenhart, & Allen Milewski. (2006). Incident command system workflow modeling and analysis: A case study. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 127–136). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: The dynamics and volunteer-based workforce characteristics of incident command systems have raised significant challenges to workflow management systems. Incident command systems must be able to adapt to ever changing surroundings and tasks during an incident. These changes need to be known by all responsible parties, since people work in shifts, get tired or sick during the management of an incident. In order to create this awareness, job action sheets and forms have been created. We propose a paperless system that can dynamically take care of these aspects, and formally verify the correctness of the workflows. Furthermore, during an incident, the majority of workers are volunteers that vary in their knowledge of computers, or workflows. To address these challenges, we developed an intuitive, yet formal approach to workflow modeling, modification, enactment and validation. In this paper, we show how to apply this approach to address the needs of a typical incident command system workflow.
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Kera Z. Watkins, Katrina Simon-Agolory, Anuradha Venkateswaran, & Deok Nam. (2011). Get a plan! Automatically generating disaster preparedness plans using WILBER. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: It is common knowledge that having a relevant disaster preparedness plan is helpful for saving lives and money during an actual crisis. However, few individuals and families have a plan in the United States. Less than 10% of US states provide online resources for individuals and families to develop customized basic disaster plans. Those states sometimes offer additional information particular to their areas. However, existing online resources could be extended nationally by automatically providing additional plan information based on localized threats (e.g. climate, terrorism, etc.) within a geographical area. Wilberforce University has designed a solution called Wilberforce's Information Library Boosting Emergency Response (WILBER) which utilizes an interdisciplinary approach to automatically generate information based on localized threats within a geographical area to extend a basic disaster preparedness plan for individuals and families. WILBER combines current and historical information from Geographical Information Systems (GIS), risk assessment, wireless sensors, and computing.
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Asa Weinholt, & Tobias Andersson Granberg. (2013). Evaluation of enhanced collaboration between fire and rescue services and security officers. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 735–740). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: The hypothesis of this study is that collaboration between fire and rescue services and new actors, with basic rescue skills, might be a cost effective way to improve emergency response. Interview studies of collaborations between fire and rescue services and security officers in three Swedish municipalities are presented. Seven semi-structured interviews are conducted with representatives from the security officer companies, the fire and rescue services and security managers at the municipalities. The method used to evaluate the collaborations quantitatively is Cost-benefit analysis. The collaborations have positive economic effects for society that most likely outweighs the costs. There also exist several external effects that are not possible to value monetarily, but that represent positive values for society. The results and their generalizability are discussed, as well as the possibility for these new collaborations to improve crisis management.
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Friedemann Wenzel, Jochen Zschau, Michael Kunz, James E. Daniell, Bijan Khazai, & Tina Kunz-Plapp. (2013). Near real-time forensic disaster analysis. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 581–585). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: We introduce the approach of near-real-time Forensic Disaster Analysis (FDA) as a methodology to reveal key features of ongoing disasters using modern communication and information tools and the methods of loss analysis. The scientific background, the objectives and results from first pilot examples are discussed.
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Felix Wex, Guido Schryen, & Dirk Neumann. (2011). Intelligent decision support for centralized coordination during Emergency Response. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Automated coordination is regarded as a novel approaches in Emergency Response Systems (ERS), and especially resource allocation has been understudied in former research. The contribution of this paper is the introduction of two variants of a novel resource allocation mechanism that provide decision support to the centralized Emergency Operations Center (EOC). Two quantitative models are computationally validated using real-time, data-driven, Monte-Carlo simulations promoting reliable propositions of distributed resource allocations and schedules. Various requirements are derived through a literature analysis. Comparative analyses attest that the Monte-Carlo approach outperforms a well-defined benchmark.
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Kim Weyns, & Martin Höst. (2009). Dependability of IT systems in municipal emergency management. In S. J. J. Landgren (Ed.), ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives. Gothenburg: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In recent years governmental actors have become more and more dependent on IT systems for their responsibilities in a crisis situation. To avoid unexpected problems with the dependability of IT systems in the aftermath of a crisis it is important that such risks are identified and that measures can be taken to reduce the dependence on systems that could be unreliable. This paper describes two case studies exploring how Swedish municipalities incorporate IT systems in their emergency planning. The study focuses especially on how different actors within a municipality cooperate to analyse the risks of depending on IT systems in critical situations. The study shows that today there is much room for improvement, especially in the communication between IT personnel and emergency managers. Finally, this paper describes the requirements for a process improvement framework that can assist governmental actors in analysing and improving their dependency on IT systems in emergency management.
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Kim Weyns, & Martin Höst. (2012). Risk analysis for critical systems with reliability block diagrams. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: Governmental organisations are becoming more critically dependant on IT systems such as communication systems or patient data systems, both for their everyday tasks and their role in crisis relief activities. Therefore it is important for the organisation to analyse the reliability of these systems as part of the organisation's risk and vulnerability analysis process. This paper presents a practical risk analysis method for critical, large-scale IT systems in an organisation. The method is based on reliability block diagram modelling and was adapted to fit the requirements of governmental organisations and to reduce the effort required to capture complex failure behaviour. The paper first explicitly lists the requirements that such a risk analysis method must fulfil, then presents the proposed risk analysis method and finally outlines the planned evaluation of this method. © 2012 ISCRAM.
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Kim Weyns, & Martin Höst. (2013). Case study on risk analysis for critical systems with reliability block diagrams. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 693–702). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: This paper presents a practical risk analysis method for critical, large-scale IT systems in an organisation. The method is based on reliability block diagram modelling and was adapted to fit the requirements of governmental organisations and to reduce the effort required to capture complex failure behaviour. Through the use of different failure categories the risk analysis can be simplified, the input data becomes easier to estimate and the results are easier to use in an organisational risk and vulnerability analysis. The paper first explicitly describes the different steps of the method and then presents a case study in which the method was applied and evaluated in a real-life setting. The method is meant to help an organisation to communicate internally about the reliability of their critical IT systems and to prioritise proposed improvements to this reliability.
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Gerhard Wickler, Stephen Potter, Austin Tate, & Jeffrey Hansberger. (2011). The virtual collaboration environment: New media for crisis response. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper concerns the use of new media technologies, including virtual worlds and web 2.0, for on-line collaborative activities, and specifically for the provision of expert advice about the response to large-scale crises. Internet technologies in general offer rich possibilities for interactions involving remote experts; however, the diversity, novelty and power of these technologies are such that to introduce them into problem-solving episodes without first developing a model of the nature of those episodes and the type of collaborative support they require, risks confusing and discouraging users. After a brief discussion of the nature of distributed collaboration and the implications this has for any technical support, we describe a virtual collaboration environment that has been developed to foster task-focused communities and support them through specific problem-solving episodes, and present some of the results of evaluation experiments.
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Adam Widera, Hanns-Alexander Dietrich, Bernd Hellingrath, & Jörg Becker. (2013). Understanding humanitarian supply chains – Developing an integrated process analysis toolkit. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 210–219). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: In this paper we present the development of an integrated process analysis toolkit for humanitarian logistics. The toolkit integrates a conceptual and a technological component. Our approach follows a case study-based modeling and design approach. The developed concept was evaluated in two humanitarian organizations. Based on these results we extended and integrated the tool-supported process analysis approach, which is ready to use for the structural and quantitative analysis of humanitarian logistics processes. The toolkit can be applied in humanitarian organizations as a decision support tool for designing, planning and executing their logistics processes. Thus, the application affects the preparedness of humanitarian organizations as well as their response performance. The process analysis toolkit is embedded in an overall research agenda with the objective to provide humanitarian organizations with the capabilities to identify, monitor, and improve their logistics processes respecting the organization specific objectives.
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Karolina A. Wojciechowska, & Berend Vreugdenhil. (2012). Integration of uncertainty into emergency procedures of water boards. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: In the Netherlands, Royal Dutch Meteorological Institute warns water boards for extreme rainfall if per-specified thresholds are (expected to be) exceeded. When a water board receives a warning, certain response measures can be taken. In general, the thresholds are based on experience and intuition. Clear procedures, which describe decision-making under uncertainty in available information (e.g., forecasted rainfall), do not exist. In this document, first results of the project “Extreme weather for water boards” are briefly described. The aim of this project is to study integration of the uncertainty into emergency procedures of the water boards. The current emergency procedures of two water boards are analyzed. Recommended adjustments to the procedures allow including the uncertainty by estimation of a probability of overload and cost-benefit analysis of response measures (benefit as avoided damage). A simple scheme that supports estimation of the probability is introduced. © 2012 ISCRAM.
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Fabian Wucholt, Yeliz Yildirim-Krannig, Mareike Mähler, Uwe Krüger, & Clemens Beckstein. (2011). Cultural analysis and formal standardised language-A mass casualty incident perspective. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Handling highly dynamic scenarios as they arise in mass casualty incident (MCI) situations requires lots of information about the situation and an extremely flexible IT infrastructure that can assist in managing the inci-dent. Normally, rescue workers from different organisational cultures do not communicate across their organisa-tional boundaries, but in an MCI they have to efficiently collaborate in order to successfully manage the inci-dent. In this paper we argue that qualitative cultural analysis can provide important insights into the design of techno-logical systems that are to be deployed in inter-organisational settings like an MCI. We will show how the engi-neering of complex knowledge based systems for such scenarios can profit from the results of such an analysis.
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Xiao LongDeng, Hui Zhang, Ya Qi Tang, & Le Yi Ren. (2015). Risk Analysis of International Spreading in 2014 Ebola Outbreak to China Compared to Social Media. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: The 2014 West African EbolaOutbreak raisedfrom Sierra Leone, Guinea, and Liberia at December in 2013 has been reported to cause 21296 cases and 8429 deaths until now which became the deadliest recorded in history. In this paper, we proposed the riskanalysis to assess the international spread risk from mentioned three African countries to China by GEM(Global Epidemic Mobility) Model. As another part of analysis, we crawled related online social media data of Ebola from the most four favorite online social networks (including SINA, TENCENT) in China from June to November in 2014.By analyzing these attained social media data and airline data of GEM, we found some interesting results. For example, Beijing has the most importing risk of Ebola while it has the hottest discussion on social network.. Furthermore, we showed analysis of combining social network data with geographicaldemonstration and Chinese citizen sentiment towards this disaster.
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Yan Wang, & John E. Taylor. (2017). Tracking urban resilience to disasters: a mobility network-based approach. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 97–109). Albi, France: Iscram.
Abstract: Disaster resilience is gaining increasing attention from both industry and academia, but difficulties in operationalizing the concept remain, especially in the urban context. Currently, there is scant literature on measuring both spatial and temporal aspects of resilience empirically. We propose a bio-inspired quantitative framework to track urban resilience to disasters. This framework was built upon a daily human mobility network, which was generated by geolocations from a Twitter Streaming API. System-wide metrics were computed over time (i.e. pre-, during and post-disasters). Fisher information was further adopted to detect the perturbation and dynamics in the system. Specifically, we applied the proposed approach in a flood case in the metropolis of São Paulo. The proposed approach is efficient in uncovering the dynamics in human movements and the underlying spatial structure. It adds to our understanding of the resilience process in urban disasters.
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Sarp Yeletaysi, Frank Fiedrich, & John R. Harrald. (2008). A framework for integrating GIS and systems simulation to analyze operational continuity of the petroleum supply chain. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 586–595). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Crisis and disaster management is a field that requires the understanding and application of tools and knowledge from multiple disciplines. Hurricanes Katrina and Rita in 2005 have proven that U.S. petroleum infrastructure is vulnerable to major supply disruptions as a direct result of disasters. Due to the structure of U.S. oil supply chain, primary oil production centers (i.e. PADD* 3) are geographically separated from primary demand centers (i.e. PADD 1), which creates a natural dependency between those districts. To better understand the extent of those dependencies and downstream impacts of supply disruptions, a multi-disciplinary research approach is necessary. The cross-disciplines in this research include disaster management, critical infrastructure and oil supply chain management, and the utilization of geographic information systems (GIS) and systems simulation. This paper specifically focuses on the framework for integrating GIS and systems simulation as analysis tools in this research.
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Yiting Zheng, Jianguo Chen, Wenjie Tang, & Jiaxiang Xu. (2016). Research on Target Diversity and Risk Analysis Model of Terrorist Attack. In A. Tapia, P. Antunes, V.A. Bañuls, K. Moore, & J. Porto (Eds.), ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management. Rio de Janeiro, Brasil: Federal University of Rio de Janeiro.
Abstract: Terrorist attack continues to spread in the world which leads to severe casualties and property losses and poses great pressure to the government. Therefore it is essential to identify the potential targets terrorists may select, assess the risk level and take risk management measures in advance. Aiming to this problem, the paper provides a new analysis method. Firstly it investigates target types terrorists prefer to and target diversity based on the data in Global Terrorist Database ; Then it puts forward the target risk analysis of three-dimensional model which considers the threat probabilityã?the target vulnerability and the consequence severity; Finally, the paper calculates and assesses the risk level using the fuzzy synthesis decision-making method, and two examples are given to prove the feasibility of the model. The result can contribute to target risk analysis and emergency preparedness or management of terrorist attack.
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Hüseyin Can Ünen. (2012). Developing a framework for a social vulnerability and consequence-based post-disaster behavior analysis methodology. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: The proposed study is expected to focus on the less investigated areas by the previous seismic risk analyses in Turkey. Most of the existing loss assessment methodologies focus on structural damage, infrastructural damage, economic impact, and casualties. However, affected population estimates and development of plans for the immediate needs and recovery requirements of the surviving population are also of equal importance. The proposed framework in this aspect will be utilizing previous social vulnerability and seismic loss assessment studies to develop an analysis methodology for affected population and social response analyses. The methodology is expected to help response planners and decision makers in determining the needs for the surviving population in the recovery process. © 2012 ISCRAM.
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Telmo Zarraonandia, Victor A. Bañuls, Ignacio Aedo, Paloma Díaz, & Murray Turoff. (2014). A scenario-based virtual environment for supporting emergency training. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 597–601). University Park, PA: The Pennsylvania State University.
Abstract: Simulation exercises are particularly popular for training in emergency situations. Exercises can vary in their degree of realism, complexity and level of stress, but they all try to reproduce a scenario of a real emergency so that each participant simulates the actions carried out for the role they should play. They not only support effective and situated learning, but they can also serve to improve the plan by allowing the identification of weak points and potential drawbacks in it. To facilitate the design and implementation of 3D virtual environments in which training exercises can be conducted, in this paper we propose to use the Cross-Impact Analysis technique in combination with an educational game platform called GRE. We also present a Simulation Authoring Tool that allows the designer to carry out the integration of the knowledge captured by means of Cross-Impact into the game designs that GRE can interpret.
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Andrea Zielinski, & Ulrich Bügel. (2012). Multilingual analysis of twitter news in support of mass emergency events. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: Social media are increasingly becoming a source for event-based early warning systems in the sense that they can help to detect natural disasters and support crisis management during or after disasters. In this work-in-progress paper we study the problems of analyzing multilingual twitter feeds for emergency events. The present work focuses on English as “lingua franca” and on under-resourced Mediterranean languages in endangered zones, particularly Turkey, Greece, and Romania Generally, as local civil protection authorities and the population are likely to respond in their native language. We investigated ten earthquake events and defined four language-specific classifiers that can be used to detect earthquakes by filtering out irrelevant messages that do not relate to the event. The final goal is to extend this work to more Mediterranean languages and to classify and extract relevant information from tweets, translating the main keywords into English. Preliminary results indicate that such a filter has the potential to confirm forecast parameters of tsunami affecting coastal areas where no tide gauges exist and could be integrated into seismographic sensor networks. © 2012 ISCRAM.
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