Flávio Horita, João Porto de Albuquerque, Victor Marchezini, & Eduardo M. Mendiondo,. (2016). A qualitative analysis of the early warning decision-making process in disaster 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: Early warning systems are an important means of improving the efficiency of disaster response and preparedness. However, in its analysis of the technological aspects of the infrastructure, the literature has failed to carry out an investigation of early warning process. This paper has sought to take a step toward understanding this issue by carrying out a qualitative analysis of the early warning process in disaster management. This has involved participatory observations and conducting interviews with practitioners from the National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN). The results have shown that this research area is a promising way of increasing efficiency and reducing the response time to warnings. This might be achieved by conducting a process analysis, which could provide evidence and information about bottlenecks or investigate the misuse of information systems or tasks by the players involved.
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Simon French, & Carmen Niculae. (2004). Believe in the model: Mishandle the emergency. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management (pp. 9–14). Brussels: Royal Flemish Academy of Belgium.
Abstract: During the past quarter century there have been many developments in scientific models and computer codes to help predict the ongoing consequences in the aftermath of many types of emergency: e.g. storms and flooding, chemical and nuclear accident, epidemics such as SARS and terrorist attack. Some of these models relate to the immediate events and can help in managing the emergency; others predict longer term impacts and thus can help shape the strategy for the return to normality. But there are many pitfalls in the way of using these models effectively. Firstly, non-scientists and, sadly, many scientists believe in the models' predictions too much. The inherent uncertainties in the models are underestimated; sometimes almost unacknowledged. This means that initial strategies may need to be revised in ways that unsettle the public, losing their trust in the emergency management process. Secondly, the output from these models form an extremely valuable input to the decision making process; but only one such input. Most emergencies are events that have huge social and economic impacts alongside the health and environmental consequences. While we can model the latter passably well, we are not so good at modelling economic impacts and very poor at modelling social impacts. Too often our political masters promise the best 'science-based' decision making and too late realise that the social and economic impacts need addressing. In this paper, we explore how model predictions should be drawn into emergency management processes in more balanced ways than often has occurred in the past. © Proceedings ISCRAM 2004.
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Therese Friberg, Benedikt Birkhäuser, Jens Pottebaum, & Rainer Koch. (2010). Using scenarios for the identification of real-world events in an event-based system. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This work focuses on the requirements engineering process of an event-based system in the domain of emergency management. The goal is to identify events which occur and have an effect on the actions and decision making during an operation. We outline a case study to apply scenario-based requirements engineering processes to describe and identify events. Under the special circumstances of the case study one important result is the need of integrating multiple sources into the scenario generation activities due to the singular characteristics of many operations.
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Aygul Gabdulkhakova, Birgitta König-Ries, & Dmitry Rizvanov. (2012). Rational resource allocation in mass casualty incidents – Adaptivity and efficiency. 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: Mass casualty incidents (MCI) are highly dynamic situations in which limited available resources need to be quickly and efficiently allocated. In this paper, we suggest considerable extensions to an allocation method that we presented in earlier work. The extensions address two major challenges: First, the need to balance real-world resource usage and second, the need to adapt to changing situations. Additionally, a theoretical evaluation of the efficiency of the suggested approach is described. © 2012 ISCRAM.
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Aygul Gabdulkhakova, Birgitta König-Ries, Mareike Mähler, Yeliz Yildirim-Krannig, & Fabian Wucholt. (2011). Identifying and supporting information needs in mass casualty incidents – An interdisciplinary approach. 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: In mass casualty incidents (MCIs) different authorities and organizations with safety responsibilities (BOS) act in highly dynamic situations. BOS operating in MCI-scenarios have a large demand of different information. SpeedUp, a German government-funded research project, wants to support this information demand. From an IT-perspective, our basic concept is to model available resources (e.g., sources of information and communicative devices) as services and flexibly combine them to the information demand of the BOS. To achieve this, we have to know which kind of information is needed by whom and explore the structures, tasks and roles of the BOS involved. In this paper we employed an interdisciplinary and user – centered approach. It is the result of a close cooperation of two research groups: one from the Intercultural Business Communication (IWK) and one from the chair of computer sciences. While the IWK focused on identifying information needs via expert interviews and observations, the computer scientists were looking at the possibilities for technical support of these needs. Only both disciplines together can achieve viable solutions.
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Gonzalez, J. J., & Eden, C. (2023). Devising Mitigation Strategies With Stakeholders Against Systemic Risks in a Pandemic. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 1000–1013). Omaha, USA: University of Nebraska at Omaha.
Abstract: Understanding and managing systemic risk has huge importance for disaster risk reduction in our globally connected world. The COVID-19 pandemic is a prominent case for the global impact of systemic risk. Did so the added urgency of the pandemic systemic risk trigger such paradigm shift? The use of qualitative modelling of systemic risk has progressed the field, particularly when policy makers need support urgently and want to utilize a range of interdisciplinary expertise. We have extended to disaster risk reduction a method for causal mapping for problem solving and strategy development targeting complex project management. Our approach delivers useful, useable, and used mitigation to systemic risk in a pandemic using participatory modelling with practitioners, domain experts and power-brokers.
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Hager, F., Reuter-Oppermann, M., Müller, T., & Ottenburger, S. (2023). Towards the Design of a Simulation-based Decision Support System for Mass-Casualty Incidents. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 565–574). Omaha, USA: University of Nebraska at Omaha.
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
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Glenn I. Hawe, Duncan T. Wilson, Graham Coates, & Roger S. Crouch. (2012). STORMI: An agent-based simulation environment for evaluating responses to major incidents in the UK. 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: This paper describes work-in-progress regarding STORMI, an agent-based simulation environment for evaluating the response by the emergency services to hypothetical major incidents in the UK. At present, STORMI consists of two main components: a Scenario Designer and a Simulator. The Scenario Designer enables the setting up of a hypothetical multi-site mass casualty incident anywhere in the UK, along with the resources which may be considered for responding to it. This provides input to the Simulator, which through its Multiple Program Multiple Data architecture, models the agents and their environment at a higher level of detail inside incident sites than it does outside, thus focusing attention on the areas of most interest. Furthermore, the multiple programs of the Simulator execute concurrently, thus targeting multi-core processors. © 2012 ISCRAM.
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Hayley Watson, Kim Hagen, & Tom Ritchey. (2015). Experiencing GMA as a means of developing a conceptual model of the problem space involving understanding cascading effects in crises. 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: A complex challenge facing those involved in crisis management relates to how to manage cascading effects in crisis situations. This paper provides a practice-based insight into the use of General Morphological Analysis (GMA), a non-quantified modelling method that can enable a shared understanding of the various interdependencies involved in cascading crises, by creating a conceptual model of a problem space. This insight paper provides an understanding of the nature of the method, and to reveal the project-related experiences of the facilitator and researchers, thereby contributing to an understanding of the benefits and challenges associated with GMA. Authors find that GMA provided a useful means of a multidisciplinary group developing an initial conceptual model for a complex problem. Whilst a challenging experience, the method will be used for conducting gap analyses at a later stage in the project, thus providing benefits to understanding and managing cascading effects in crises.
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Steven R. Haynes, Mark J. Jermusyk, & Frank E. Ritter. (2014). Utility-theoretic training for mass casualty incidents. 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. 473–482). University Park, PA: The Pennsylvania State University.
Abstract: This paper describes an approach to training emergency responders for mass casualty incidents. The approach is derived from a methodology and supporting software system called Summit. The Summit approach uses an integration of scenarios, hierarchical task analysis, interaction modeling, and expected utility theory to represent how actors engage in complex tasks; here we model mass casualty incident (MCI) activities supported by interactive technologies. Our goal is to ground MCI training in realistic scenarios and to demonstrate required response capabilities through associated hierarchical task analyses (HTA). The terminal nodes in an HTA are interactions, that provide a fine-grained model of the actors, technologies, data, and methods involved in realizing the required capability. The components of an interaction may have associated utility factors (benefits, costs, and risks) that provide learners with a rationale-based resource for understanding how different technologies are used to support MCI response efforts. Assessment of the approach is underway within a local EMS organization.
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Henrik Berndt, Daniel Wessel, Lennard Willer, Michael Herczeg, & Tilo Mentler. (2018). Immersion and Presence in Virtual Reality Training for Mass Casualty Incidents. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 806–817). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: Preparation for mass casualty incidents (MCIs) is highly important but difficult to accomplish. Incidents are rare, often complex, and training is costly. However, with the development of consumer grade virtual reality (VR) hardware, immersive training simulations have become affordable for competency training. To make simulations effective, users have to be immersed and feel present in the simulation. We have developed a VR training system for MCIs in a user centered design process with emergency personnel and further improved the system to increase immersion and presence. In an evaluation with eighteen paramedic trainees, we compare six hypothesized design improvements between the two simulations, such as using a menu or a simulated emergency bag for interaction. Results indicate clear user preferences of interaction styles related to immersion and presence in MCI VR simulations.
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Chao Huang, Shifei Shen, & Quanyi Huang. (2012). An approach based on environment attributes for representation of disaster cases. 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 this paper we overview the ongoing research into the application of case-based reasoning in emergency management, based on which we propose a new approach for representation of large-scale disaster cases. The approach takes the environmental factors into account, and the case is organized according to key scenes, rather than disaster types. Each scene consists of inherent attributes, which are concerned with the disaster type, and environment attributes, which usually facilitate the adjustment of the decision-making, and sometimes play crucial role. To describe the environment attributes, the fuzzy sets are employed to take use of the non-quantitative information. The nearness of the fuzzy sets is used to retrieve the similar case. Based on this approach, the case retrieval could even extract the case with different type but similar environment, supposing the inherent attribute is analogous. © 2012 ISCRAM.
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Alicia Cabañas Ibañez, Dirk Schwanenberg, Luis Garrote De Marcos, Miguel Francés Mahamud, & Javier Arbaizar González. (2011). An example of Flood Forecasting and Decision-Support System for water management in Spain. 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: The paper provides an overview of past, present and future development in the program to implement a Flood Forecasting and Decision-Support System (DSS) for the SAIH network in some Spanish basins. These tools represent a significant advance by embedding the decision-making components for management of hydraulic infrastructure into the flood forecasting and flood early warning procedures. The DSS has been implemented based on an open-shell platform for integrating various data sources and different simulation models. So far, it covers the Segura, Jucar, Tajo, Duero and Miño-Sil basins, which represent 42% of Spanish territory. Special attention is paid to the decision-support for the operation of the 66 major reservoirs as a fundamental part of flood management.
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Ida Maria Haugstveit, Eivind Lars Rake, & Aslak Wegner Eide. (2015). Practitioner-Centered, Long-Term Testing of an ICT-based Triage System for Emergency Management. 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: Triage in emergency response refers to determining the priority of victims based on their need for treatment and medical intervention. Today, triage is performed by the use of paper-based triage tags. Communication about patients? status is mainly carried out over radio or through handwritten notes. This practice makes it challenging for emergency personnel to keep an overview of the number, location, and medical status of victims, and to distribute information between personnel. Although technological solutions to ease the triage process exist, the methods used to test these solutions are somewhat limited. This paper reports our plans and preparations for a practitioner-centered, long-term testing of an ICT-based triage system. The system uses electronic devices to tag patients and communicate their status to relevant incident operators, providing a common operational picture for both on- and off-site personnel. The technologies (eTriage and Master) that are to be used during the testing are presented.
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Jorge Vargas, Jonatan Rojas, Alejandra Inga, Wilder Mantilla, Hulber Añasco, Melanie Fatsia Basurto, et al. (2016). Towards Reliable Recurrent Disaster Forecasting Methods: Peruvian Earthquake Case. 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: We are interested in recurrent disaster forecasts; these are events such as annual cyclones in the Caribbean, earthquakes along the Ring of Fire and so on. These crises, even small- or medium-sized, are, in fact, critical for the emergency response of humanitarian organizations inasmuch as the sum of casualties and losses attained are as deadly as those that are considered exceptional. The aim of our research is to show that it is possible to use traditional forecasting methods such as: causal methods (which include the use of linear regression functions, non-linear, multivariate, etc.), time series (which include simple moving average, weighted moving average, exponential smoothing, trend-adjusted exponential smoothing, etc.) and so on, if the historical data keeps, among other criteria, its patterns, frequency, and magnitude, in a sustainable manner. Finally, an example to forecast recurrent earthquakes in Peru is presented.
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Jose J. Gonzalez, Colin Eden, Eirik Abildsnes, Martin Hauge, Monica Trentin, Luca Ragazzoni, et al. (2021). Elicitation, analysis and mitigation of systemic pandemic risks. In Anouck Adrot, Rob Grace, Kathleen Moore, & Christopher W. Zobel (Eds.), ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management (pp. 581–596). Blacksburg, VA (USA): Virginia Tech.
Abstract: The Covid-19 pandemic has disrupted the health care system and affected all sectors of society, including critical infrastructures. In turn, the impact on society's infrastructures has impacted back on the health care sector. These interactions have created a system of associated risks and outcomes, where the outcomes of risks are risks themselves and where the resulting consequences are complex vicious cycles. Traditional risks assessment methods cannot cope with interdependent risks. This paper describes a novel risk systemicity approach to elicit and mitigate the systemic risks of a major pandemic. The approach employed the internet-based software strategyfinder[TM] in workshops to elicit relevant risk information from sixteen appropriately selected experts from the health care sector and major sectors impacted by and impacting back on the health care sector. The risk information was processed with powerful analytical tools of strategyfinder to allow the experts to prioritise portfolios of strategies attacking the vicious cycles.
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Jun Sasaki, Taeko Maejima, Shuang Li, Yusuke Sato, & Minoru Hiyama. (2019). Life-Area Broadcasting System (LABS) for Usual and Emergency Cases by Using Easy Contents Management System and New Speaker Devices. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: The �community� has played an important role in enhancing the regional disaster management capabilities in
Japan. This paper proposes a Life-Area Broadcasting System (LABS) for usual and emergency cases. In order to
realize very simple and easy management of LABS, we developed the Easy Contents Management System
(ECMS). By this system, people can obtain life-area information related to their life support, small events and
accident news occurring at their living area not only in emergency cases but also in normal cases by voice, images
and text. Further, we developed some new Speaker Devices for unfamiliar users of ICT devices such as elderly
users. Those users can receive the service of LABS as like as a television or a radio broadcast terminal anytime
and every day. In this paper, we describe the concept of LABS and introduces the developed new systems and
devices.
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Kaisa Riikka Ylinen, & Juha Pekka Kilpinen. (2018). Calibrating Ensemble Forecasts to Produce More Reliable Probabilistic Extreme Weather Forecasts. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 1089–1097). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: Accurate predictions of severe weather events are extremely important for society, economy, and environment. Due to the fact that weather forecasts are inherently uncertain, it is required to give information about forecast uncertainty to all users providing weather forecasts in probabilistic terms utilizing ensemble forecasts. Since ensemble forecasts tend to be under dispersive and biased, they need to be calibrated with statistical methods. This paper presents a method for the calibration of temperature forecasts using Gaussian regression, and the calibration of wind gust forecasts with a box-cox t-distribution method. Statistical calibration was made for the operational European Centre for Medium-Range Weather Forecasts (ECMWF) ensemble prediction system (ENS) forecasts for lead times from 3 to 360 hours. The verification results showed that calibration improved both temperature and wind gust ensemble forecasts. The probabilistic temperature forecasts were better after calibration over whole lead time scale, but the probabilistic wind gust forecasts up to 240 hours.
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Kai Kamphenkel, Markus Blank, Jens Bauer, & Georg Carle. (2007). Secure transmission of pre-clinical ultrasound video data at the scene of a mass casualty incident. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 377–383). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The use of portable ultrasound devices enables a better and immediate diagnostics at the scene of a mass casualty incident. The detection of free fluid in abdomen and thorax is an important indicator for the further treatment. The gained information affects the triage of casualties, the pre-clinical medical attendance and the patient management. The presented article describes an innovative approach to transmit sonographic video streams over wireless networks to a remote hospital, where the medical data is used for diagnostics. For the secure transmission of data a new network unit is designed, which gathers information with regard to the network status and the character of transported data. This “Intelligent Network” is located in the transport layer of the OSI reference model and enables a dynamic interconnection between network and application, provides an interface for functional transparency and the disclosure of parameters and establishes the basis for an universal security system.
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Katelynn Amaris Kapalo, Pamela Wisniewski, & Joseph J. LaViola Jr. (2019). First In, Left Out : Current Technological Limitations from the Perspective of Fire Engine Companies. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: The cognitive demands and skills required of a fire engine company when assessing the scene of an incident and
the systems they use to manage this information are a matter of life or death. We conducted a case study with an
entire fire battalion in Florida (35 firefighters at varying levels of command) to assess their routine technology
needs. Using a cognitive work analysis approach, we found that the firefighters in our study relied on mission
critical systems that often failed, as well as disparate secondary systems that lacked integration. Capability gaps
and inaccessible data also increased the likelihood of errors, creating frustration in the systems that both helped
and hindered these firefighters in their daily job tasks. We describe what firefighters need from technology in its
present state and we outline usability issues for technology designers and practitioners to leverage in the design
of future systems.
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Kim Hagen, Meropi Tzanetakis, & Hayley Watson. (2015). Cascading effects in crises: categorisation and analysis of triggers. 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 analysis of cascading effects in crisis situations can enhance crisis managers? understanding of how crises unfold and what prominent triggers of cascading effects are. By identifying and categorising triggers of cascading effects, a greater understanding of critical points in crisis situations can be reached, which can contribute to strengthening practices of crisis management, including preparedness and response. Accordingly, this paper provides an insight into triggers of cascading effects, gained through the analysis of six case studies of crises that took place between 1999 and 2014. The analysis produced six categories of triggers, which are discussed here: the disruption of pre-existing relations of information, organisation, and supply, disturbance relations, pre-disaster conditions, and the malfunctioning of legal and regulatory relations. Authors argue that the categorisation of triggers aids anticipating cascading effects, along with predicting risks and planning for potential bottlenecks in crisis management.
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Konstantinos Koufos, Krisztina Cziner, & Pekka Parviainen. (2007). Multicast video performance evaluation for emergency response communications. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 595–604). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Group-oriented services including data dissemination, group calls and real-time video transmission are considered as an important application in public safety communications. The main interest is in one-way real-time video transmission from the hot spot to multiple recipients. This is important for efficient emergency response. The changing topology of the multi-hop communication links in a public safety environment makes routing and multicasting extremely challenging task. The purpose of this paper is to study the performance of wireless mobile ad-hoc networks with one-way multicast video traffic. To consider a realistic public safety scenario, the effect of extensive unidirectional links is investigated. The system performance study of various ad-hoc network configurations is done by simulations. For wireless multicast routing, the On Demand Multicast Routing Protocol is used. The performance results are compared with the requirements provided by Statement of Requirement document of standardization project MESA.
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Uwe Krüger, Fabian Wucholt, & Clemens Beckstein. (2012). Electronic checklist support for disaster response. 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: Requirements analysis of IT-support for rescue management showed that electronic checklist support is a vital function of any IT-based assistance system. Although checklists are a simple approach, their successful implementation and use depends on many factors. We nevertheless believe that Intelligent Electronic Checklist Sup-port Systems (IECSS) are especially helpful for the (inter-) organizational cooperation in disaster scenarios like mass casualty incidents (MCIs). In this paper we describe why, when, and how electronic checklists can be used to coordinate the work of the geographically dispersed rescue forces. For this purpose we will have a look at safety-critical and complex tasks in aviation and medicine where checklists already are successfully used and try to profit from this experience for the MCI domain. © 2012 ISCRAM.
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Robert Lawatscheck, Stephan Düsterwald, Carsten Wirth, & Torsten Schröder. (2012). ALARM: A modular IT solution to support and evaluate mass casualty incident (MCI) management. 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: ALARM is a modular IT-solution to support emergency medical service (EMS) providers and rescue staff in mass casualty incident response and training. Seven modules were implemented, covering the entire process from preliminary triage, treatment support and resource management to tactical information and registration. Communication technology is used to close information and documentation gaps. The system uses medical algorithms and telemedicine to improve patient treatment. The ALARM system generates logs automatically including procedural time stamps and outcome factors such as triage and transport categories. This allows an objective analysis and comparison of missions and opens a new approach to evidence based MCI management and training. © 2012 ISCRAM.
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Lida Huang, Tao Chen, Yan Wang, & Hongyong Yuan. (2015). Forecasting Daily Pedestrian Flows in the Tiananmen Square Based on Historical Data and Weather Conditions. 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: It is important to forecast the pedestrian flows for organizing crowd activities and making risk assessments. In this article, the daily pedestrian flows in the Tiananmen Square are forecasted based on historical data, the distribution of holidays and weather conditions including rain, wind, temperature, relative humidity, and AQI (Air Quality Index). Three different methods have been discussed and the Support Vector Regression based on the Adaptive Particle Swarm Optimization (APSO-SVR) has been proved the most reliable and accurate model to forecast the daily pedestrian flows. The results of this paper can help to conduct security pre-warning system and enhance emergency preparedness and management for crowd activities.
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