Ahmed T. Elsergany, Amy L. Griffin, Paul Tranter, & Sameer Alam. (2014). Descriptive and Geographical Analysis of Flood Disaster Evacuation Modelling. 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. 55–59). University Park, PA: The Pennsylvania State University.
Abstract: The planning of evacuation operations for a riverine flood disaster is vital for minimizing their negative impacts on human lives. This paper aims to develop a systematic method to model and plan evacuation trip generation and distribution for riverine floods. To achieve this aim, it adapts the transportation or Hitchcock problem, an operations research technique employed in conventional four-stage transportation modeling, and that is used to plan and model transport in normal situations, so that it is appropriate for flood disaster situations focusing on the first two stages. Concentrating on pre-flood hazard planning, our evacuation modelling considers two types of flood disaster data environments: certain environs, in which all decision variables are known, and uncertain environs, when probabilities of decision variables are considered in the evacuation plans.
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Fatemeh Hendijani Fard, Cooper Davies, & Frank Mauer. (2017). Agile Emergency Responses Using Collaborative Planning HTN. 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. 857–867). Albi, France: Iscram.
Abstract: Emergency response planning is a complex task due to multiple organizations involved, different planning considerations, etc. Using artificial intelligence collaborative planning helps in the automatic planning for complex situations. Analyzing all impacting factors along with plans that are executable can facilitate the decision making in Emergency Operations Centers for an agile emergency response. A main component of a planner is a knowledge base. Although many systems are developed to support decision making in emergency response or recovery, they either focus on specific or small organizations, or rely on simulations. To the best of our knowledge, there is a gap that there is no common knowledge base for provincial level mass emergencies for automatic planners. The multiplicity of the emergency response documents and their structure makes the knowledge acquisition complex. In this paper, we explain the process of extracting knowledge based on hierarchical task networks and how it speeds up the reactivity to a disaster.
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Joris Field, Arjan Lemmers, Amy Rankin, & Michael Morin. (2012). Instructor tools for virtual training systems. 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: Crisis management exercises require a lot of preparation and planning to ensure that the training objectives are met. This is often a time consuming and expensive process and can be a major barrier to setting up frequent crisis management training sessions. The introduction of virtual training environments to supplement the live exercises enables the development of tools to support the instructors in their planning, management, observation and analysis of training exercises. This can simplify the planning process, and give instructors control over the configuration of the exercises to tailor them to the needs of individual trainees. In this paper we present a tool that supports instructors in the planning of virtual exercises, and can be used to provide templates for live exercises. This tool has been developed with ongoing feedback from instructors and crisis management personnel and forms part of a crisis management virtual training system. © 2012 ISCRAM.
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Florian Brauner, Julia Maertens, Holger Bracker, Ompe Aimé Mudimu, & Alex Lechleuthner. (2015). Determination of the effectiveness of security measures for low probability but high consequence events: A comparison of multi-agent-simulation & process modelling by experts (L. Palen, M. Buscher, T. Comes, & A. Hughes, Eds.). Kristiansand, Norway: University of Agder (UiA).
Abstract: Due to the increasing danger of terrorist attacks, it is necessary to determine the preventive effects of security measures installed in e.g. public transportation systems. Since, there is no common practice to determine the preventive effects; we developed two different methodologies to analyse those effects, both are suitable for the assessment of security measures. The first method is a semi-quantitative method based on expert-estimations combined with a modelled process of an attack.The second method models the scenarios using a multi-agent-based simulation framework. Simulating a large number of runs, it is possible to derive values for indicators of interest on statistical basis. We show the suitability of both methods by applying them on a practical example of a public transportation system. In this paper we introduce both methodologies, show an exemplary application and present the strengths and weaknesses and how they can be linked to get an increased benefit.
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Simon French, Naomi Chambers, Duncan Shaw, Alan Boyd, Russell King, & Alison Whitehead. (2012). A scoping study of R&D needs in emergency planning in UK healthcare systems. 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: Driven by events such as terrorist outrages and pandemics, the 21 st century has seen substantial changes in how countries plan for and manage emergencies across health care systems. Aside from changes in the pattern, type and scale of emergency, emergency preparedness must respond to developments in medical knowledge and treatment, and in information and communication technologies, particularly social networking. This report describes a scoping study of research and development (R&D) needs with regard to emergency planning in health care undertaken by the authors in the UK. We discuss the design of the study, difficulties in its conduct and, via a reference to the published final report, indicate its conclusions. © 2012 ISCRAM.
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Gary Bennett, Lili Yang, & Boyka Simeonova. (2017). A Heuristic Approach to Flood Evacuation Planning. 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. 380–388). Albi, France: Iscram.
Abstract: Flood evacuation planning models are an important tool used in preparation for flooding events. Authorities use the plans generated by flood evacuation models to evacuate the population as quickly as possible. Contemporary models consider the whole solution space and use a stochastic search to explore and produce solutions. The one issue with stochastic approaches is that they cannot guarantee the optimality of the solution and it is important that the plans be of a high quality. We present a heuristically driven flood evacuation planning model; the proposed heuristic is deterministic, which allows the model to avoid this problem. The determinism of the model means that the optimality of solutions found can be readily verified.
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Tim J. Grant. (2005). Integrating sensemaking and response using planning operator induction. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 89–96). Brussels: Royal Flemish Academy of Belgium.
Abstract: Emergency response managers often try to prepare plans in advance of foreseeable crises. However, pre-prepared plans almost never fit the precise situation when an actual crisis arises. This paper focuses on what can be done once the plan has been found to be a mismatch with the actual situation, and particularly on sensemaking and its integration into generating a response to a crisis situation. This paper proposes planning operator induction as a suitable technique. The Air Traffic Control and military air defence situation over the continental US on September 11, 2001, serves as the illustrative application. Since the paper reports research in progress, it closes by outlining the additional functionality that will have to be added to the existing POI implementation to produce a sensemaking tool.
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Tim J. Grant. (2009). Towards mixed rational-naturalistic decision support for command & control. 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: Information systems for crisis response and management, including military Command & Control systems, are designed to support their users' decision-making processes. Decision making can be rational or naturalistic. Psychologists have shown that experienced decision makers under time pressure prefer using naturalistic methods. Case studies of four implemented Command & Control systems show that most decision support assumes rational decision making. Some support for naturalistic decision making is becoming available. We identify a mix of rational and naturalistic decision support tools as being desirable for flexible Command & Control.
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Anna Gustafsson, & Tobias Andersson Granberg. (2012). Dynamic planning of fire and rescue services. 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: We discuss decision support tools used for more efficient planning of fire and rescue services. The methodology considers small and flexible units and includes dynamic utilization of the existing resources. We develop a quantitative measure for preparedness and use it as a basis for decision support. By constantly accounting for the current situation and using intelligent strategies to locate and allocate resources that support good preparedness, response times can be shortened. The tools will be tested using an experimental setup that includes human-in-the-loop simulations, and the results will compare situations that occur when the decision makers have and do not have access to the developed tools. © 2012 ISCRAM.
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Niklas Hallberg, Helena Granlund, Jonas Hallberg, & Rogier Woltjer. (2012). Rationale for emergency management systems for local communities: A needs assessment. 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: Information systems have great potential to support emergency management. However, development of such systems is difficult, due to the complexity of emergency management. The ability to be able to reveal the needs for support are essential for successful system developments. The emergency responders at the local community level are the main actors when it comes to emergency management. The objective of this paper is to explore the rationale for emergency management systems at the local community level. This is done by an extensive needs assessment based on 12 interviews with representatives for local as well as regional emergency organizations and 49 governing documents. The analysis uncovers ten areas where emergency management systems can enhance the ability of local communities' to manage emergencies. © 2012 ISCRAM.
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Hanna Honkavuo, Markus Jähi: Ari Kosonen, Kalevi Piira, Kalev Rannat, & Jari Soininen, M. M., Kuldar Taveter. (2015). Enhancing the quality of contingency planning by simulation. 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: Contingency planning is a significant challenge when dealing with rarely occurring cases. First of all, the situation related threats can be difficult to identify. Moreover, it is difficult to conclude what happens when multiple threats occur simultaneously. In this paper we introduce the idea of an application which allows seamless cooperation between many experts.
In this paper we describe a computer based simulation application which is designed to support contingency planning ? having resources available ? in extreme winter condition. First we introduce the background of the simulation – sparsely populated areas in Northern Finland where long distances and extremely cold weather can make disturbance situations even more difficult to be normalized by authorities. Secondly we present the tools that are used to build up the application. Finally, we discuss what benefits the application offers for the authorities, preparedness planning and society.
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Harrison Cole. (2020). Accessible Mitigation Planning: Tactile Hazard Map Design and Evaluation. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 1031–1037). Blacksburg, VA (USA): Virginia Tech.
Abstract: While creating a community hazard mitigation plan (HMP) has become recognized as a key component of successful disaster management, significant portions of the process are often inaccessible to people with vision disabilities. Maps in particular are often large, visually dense documents that are printed on two-dimensional paper, or distributed via PDF with no alternate text. For people with profound low vision or who are blind, alternative media is required. The research discussed here proposes that tactile maps may present an accessible and cost-effective medium for representing geospatial data relevant to the hazard mitigation planning process. Using flood insurance rate maps (FIRMs) distributed by the Federal Emergency Management Agency (FEMA) as a starting point, this paper proposes an evaluatory framework for transcribing conventional maps into tactile documents, as well as characterizing users' experiences using them for mitigation planning, directions for future research and generalizing the process for applications in other domains.
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Arthur H. Hendela, Murray Turoff, & Starr Roxanne Hiltz. (2010). Cross impact security analysis using the HACKING Game. 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: Security of network assets is a high priority with little traditional return on investment. Increasingly, cyber attacks are being used by both terrorist and unfriendly government organizations. The HACKING Game, a Cross Impact Analysis planning tool, can be used to plan security resource allocation in computer networks. Cross Impact Analysis provides a mathematical basis to determine the interrelationships of one event with a set of other events. Output from the HACKING Game's Cross Impact Analysis model can be used to help justify security expenditures, with an added benefit of being a training tool for employees learning to protect networks. This paper presents details of the Hacking Game's design and its capabilities. Cross impact modeling can be used to develop games for any situation characterized by a set of offense and defense events to produce an individual or collaborative model for such things as natural and man-made disasters.
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Arthur H. Hendela, Xiang Yao, Murray Turoff, Starr Roxanne Hiltz, & Michael J. Chumer. (2006). Virtual emergency preparedness gaming: A follow-up 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. 450–459). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: Planning processes, including simulations and games, can help emergency workers to prepare for the unexpected. Rehearsal using software based gaming techniques not only helps planning, but is also cost effective. Computer-based groupware systems can make experts available regardless of location. A new approach, Virtual Simulation (VS), uses networking to create a flexible learning and planning environment. To date two prototype trials of this approach have been implemented at NJIT with major revamps between each one. This paper gives the results of the latest prototype trial, a simulation of attacks on university computer centers. The insights from this second prototype trial of virtual simulation will help us to improve the design and approach for future offerings.
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Michael Hiete, & Mirjam Merz. (2009). An indicator framework to assess the vulnerability of industrial sectors against indirect disaster losses. 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: Natural and man-made hazards may affect industrial production sites by both direct losses (due to physical damage to assets and buildings) and indirect losses (production losses). Indirect losses, e.g. from production downtimes, can exceed direct losses multiple times. Thus, the vulnerability of industrial sectors to indirect losses is an important component of risk and its determination is an important part within risk analysis. In this paper a conceptual indicator framework is presented which allows to assess the indirect vulnerability of industrial sectors to different types of disasters in a quantitative manner. The results are useful for information sharing and decision making in crisis management and emergency planning (mitigation measures, business continuity planning), since the developed indicator system helps to take the complex phenomenon of industrial vulnerability and the underlying interdependencies into account. Besides the identification and conceptual motivation of the indicators, methodical aspects such as standardization, weighting and aggregation are addressed.
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Hossein Baharmand, & Tina Comes. (2015). A Framework for Shelter Location Decisions by Ant Colony Optimization. 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: Earthquakes frequently destroy the homes and livelihoods of thousands. One of the most important concerns after an earthquake is to find a safe shelter for the affected people. Because of large numbers of potential locations, the multitude of constraints (e.g. access to infrastructures; security); and the uncertainty prevailing (e.g., number of places required) the identification of optimal shelter locations is a complex problem. Nevertheless, rapidly locating shelters and transferring the affected people to the nearest shelters are high priority in crisis situations. In this paper, we develop a framework based on Ant Colony Optimization (ACO) to support decisions-makers in the response phase. Using the same framework, we also derive recommendations for urban planning in the preparedness phase. We demonstrate our method with a case focusing on the city of Kerman, in Iran.
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Ignacio Aedo, Paloma Díaz, Victor A. Bañuls, José H. Canós-Cerdá, & Starr Roxanne Hiltz. (2011). Information technologies for emergency planning and training. 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: Crucial to improving the management of emergency situations is the definition of suitable Emergency Plans and training of participants in the application of such plans. In order to design a good Emergency Plan, experts from different areas need to work collaboratively to identify all the events and the relationships among such events. The main purpose of this project is to study different information technology techniques that can be used in the elaboration of and training for Emergency Plans, based on the use of scenarios. The use of such techniques will support collaborative development of Emergency Plans, the use of rich formats that provide different perspectives on a plan, the exportation and sharing of plans in order to increase their evolution and improvement, the instruction of participants, as well as better interaction, participation and exchange of knowledge. Key aspects of the plans for this recently begun project are described in this paper.
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Ioan M. Ciumasu. (2018). A coordination lattice model for building urban resilience. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 419–427). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: Common denominators emerge difficultly in projects bridging science and society or/and across disciplines. Managing crises require inter-organizational learning and citizen involvement, but, often such undertakings lead to bargain resulting in sub-optimal decisions. Building resilience into human communities demands complex projects, which further require good problem definition, starting with agreements on values and knowledge, as basis for further agreements on goals and methods. This paper spreads the Data-Information-Knowledge-Action-Result frame over a 4-level process to generate a DIKAR_process matrix and lattice that allows optimal orientation and coordination towards achieving a set of common denominators and coordinated action protocols. This framework allows sequences and cycles that can be formulated and pursued simultaneously, comparatively and iteratively, within any large, heterogeneous constituency of actors involved in building resilience in local communities. The model is illustrated and discussed in relation to urban sustainability issues and complementary methods like knowledge maps, mental models, social learning and scenarios.
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Jaziar Radianti, Santiago Gil Martinez, Bjørn Erik Munkvold, & Morgan Konnestad. (2018). Co-Designing a Virtual Training Tool for Emergency Management. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 960–970). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: Responders and decision makers can be trained through simulation tools where participants learn how to deal with an ongoing crisis and make decisions through a realistic, simulated environment using a game or gamification approach. Training through a simulated, virtual crisis tool would be a more affordable way of conducting a drill, as a supplement to field drills. In this paper, we describe the requirements' elicitation process for co-design of a virtual training tool for emergency management. The cooperative design process included researchers and end-users together to generate potential solutions for a defined problem. The elicitation process involved brain-storming, interviews and a workshop together with representatives from emergency stakeholders. A systematic qualitative data analysis was conducted. The paper reports our analysis results which serve as a basis for further development of an emergency management virtual training tool using an extreme weather scenario.
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Theresa I. Jefferson, & John R. Harrald. (2014). Estimating the impacts associated with the detonation of an improvised nuclear device. 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. 80–84). University Park, PA: The Pennsylvania State University.
Abstract: The explosion of an improvised nuclear device (IND), in any American city, would cause devastating physical and social impacts. These impacts would exceed the response capabilities of any city, state or region. The potential loss and suffering caused by an IND detonation can be dramatically reduced through informed planning and preparedness. By incorporating estimates of the impacts associated with the detonation of an IND into the planning process, jurisdictions can estimate the scale and scope of their response requirements. A prototype, computer-based tool was developed to quantify the human impacts associated with an IND detonation. Using various types of information such as the approximation of the prompt radiation footprint, blast footprint, and thermal footprint of the detonation, along with an estimation of the level of protection provided by building structures the system calculates the number and type of injuries that can be expected in a monocentric urban area.
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Jonas Landgren. (2015). Insights from an ethnographic study of a foreign response team during the EBOLA Outbreak in Liberia. 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: Organizing response operations during large-scale and complex disasters requires an ability to meet and adapt to sudden changes of plans. This paper presents descriptive accounts from an ethnographic field study of the work of a foreign Ebola response team during the Ebola outbreak on location in Liberia. The findings illustrate how response work is subject to frequent and rapid changes that result in unforeseen consequences that could cause frictions and dilemmas. The findings imply tentative implications for design, suggesting a need for improved decision support for re-planning and re-designing of ongoing response operations.
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Susanne Jul. (2010). You get what you plan for. 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 paper seeks to illustrate a few simple but common mistakes in exercise planning through a case study, in the hopes that readers may improve their use of exercises as a research and development tool.
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Magnus Jändel, Sinna Lindquist, & Linus Luotsinen. (2013). Social coverage maps. 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. 241–250). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: This paper introduces Social Coverage Maps (SCM) as a visual representation of the societal impact of localized disruptions in urban areas. Incited by the recent deliberate interruption of wireless services for the purpose of crowd control in San Francisco, we focus on the use of SCMs for representing emergent effects of electronic warfare. As a prequel we discuss maps and other visualizations as representations of human behaviour and relations. The SCM concept is defined and grounded in simulation-based parameters. Using an experimental scenario based on cell phone jamming in a city we show how SCMs are generated using an agent-based population simulator. We find that Social Coverage Maps could become a useful tool for analysing emergent effects of actions and events including electronic warfare, roadblocks, smoke, teargas, chemical and radioactive contamination with applications in operational and emergency planning as well as crisis management.
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Katelynn Kapalo, Kevin Pfeil, Joseph Bonnell, & Joseph LaViola. (2022). Evaluating the Impact of 2D vs. 3D Building Plans for Fireground Incident Command Decision-Making. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 824–835). Tarbes, France.
Abstract: Building construction and building layout represent two key critical pieces of information for a fire suppression operation. However, fireground incident commanders (FGCs) frequently do not have access to critical, updated information about a structure, including details that could potentially support more effective response. This gap in the information pipeline has led to significant injuries and fatalities for both civilians and first responders. Towards this end, this paper focuses on evaluating the efficacy of a user interface prototype for supporting decision-making during a simulated commercial structure fire. Sixty-four firefighters (n = 64) from North America participated in this study. Overall, there were no statistical differences in the performance of the firefighters between the two experimental conditions (2D vs. 3D). This study provides preliminary support for the use of 3D models in pre-incident planning practices. More importantly, this initial data serves as a baseline for the development of evidence-based standards for displaying pre-incident planning information to FGCs digitally.
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Kishimoto, M., Osaragi, T., & Chan Yili. (2023). Evaluation of Improvement Projects in Densely Built-Up Area using a Large Earthquake Disaster Simulator: A case study in Kyojima Area, Tokyo. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 546–564). Omaha, USA: University of Nebraska at Omaha.
Abstract: This paper aims to (1) evaluate the disaster mitigation effects of improvement projects in a certain area and (2) provide a basis for strategic planning to promote further improvements. Specifically, we decompose local improvements in the analyzed area into multiple scenarios and examine their effects and issues. First, we describe the “large earthquake disaster simulator,” which estimates property damage and human casualties in a large earthquake. Then, the Kyojima area of Sumida-Ku, Tokyo, is selected as the analyzed area. We decompose the improvement projects implemented during 2006 – 2016 and prepare six scenarios. Finally, a simulation analysis is conducted. We demonstrate that fire spread could be effectively blocked by (1) ensuring sufficient road width and (2) identifying the critical buildings in terms of fire spread mitigation and making them fireproof.
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