Adam Widera, Chiara Fonio, Sandra Lechtenberg, & Bernd Hellingrath. (2018). Measuring Innovations in Crisis Management. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 1051–1062). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: Crisis management (CM) organizations regularly face the challenge to assess the potential impact of a change in their socio-technical setup. No matter if a new software, a new tool, a simple workflow or a broader organizational structure become available, CM organizations need to estimate the potential added value under a high degree of uncertainty. In general, the more reliable information about the new solution is available, the more informed the decisions are. One promising way in assessing the potential impact of new CM solutions can be found through its application in an as realistic as possible and an as secure as necessary setup. However, such artificial scenarios like simulation exercises hold the risk of measuring the performance of the solution itself rather than its contribution to the CM operation. In this paper we review the state of the art in measuring crisis management performance, discuss the results in the context of performance measurement in general and present a performance measurement approach supporting a structured assessment of innovative CM solutions applied within collaborative demonstration project.
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Anne Marie Barthe, Frédérick Bénaben, Sébastien Truptil, & Hervé Pingaud. (2013). A flexible network of sensors: Case study. 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. 344–348). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: The goal of this article is to introduce a plastic architecture of a survey system dedicated to any kind of geographical area that requires to be observed. The principle of this architecture is to allow to change dynamically the set of sensors that is used to monitor the area and also to provide an analyze system able to deal with this unstable set of sensors. Based on Event-Driven Architecture (EDA) technology, such a system does not provide new features compared with traditional set of static sensors connected through cables to dozens of bulbs lighting when a predefined subset of measures is not in the expected range. However, the introduced architecture provides a completely agile and dynamic system of measurement where neither the network of sensors nor the system of measure interpretation is static.
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Tuncay Bayrak. (2007). Performance metrics for disaster monitoring systems. 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. 125–132). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Understanding the performance of disaster monitoring systems is a key to understanding their success, therefore; various qualitative and quantitative measures and metrics can be applied in the characterization and analysis of such systems. Through evaluation studies, problems that impede a disaster monitoring system performance can be identified. The results can be used for system control, design, and capacity planning. Previous studies address technical performance analysis metrics for analyzing monitoring systems leaving out human and organizational dimensions of such systems. Thus, the primary objective of this study is to identify and describe a set of disaster monitoring systems performance analysis metrics that may be employed to evaluate such systems. This study may be valuable to researchers and practitioners involved in disaster and emergency response studies in planning the transportation of vital first-aid supplies and emergency personnel to disaster-affected areas, and in improving chances of survival after a natural disaster.
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Thomas Bernard, Mathias Braun, Olivier Piller, Denis Gilbert, Jochen Deuerlein, Andreas Korth, et al. (2013). SMaRT-OnlineWDN: Online security management and reliability toolkit for water distribution networks. 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. 171–176). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Water distribution Networks (WDNs) are critical infrastructures that are exposed to deliberate or accidental contamination. Until now, no monitoring system is capable of protecting a WDN in real time. In the immediate future water service utilities that are installing water quantity and quality sensors in their networks will be producing a continuous and huge data stream for treating. The main objective of the project SMaRT-OnlineWDN is the development of an online security management toolkit for water distribution networks that is based on sensor measurements of water quality as well as water quantity and online simulation. Its field of application ranges from detection of deliberate contamination, including source identification and decision support for effective countermeasures, to improved operation and control of a WDN under normal and abnormal conditions.
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Thomas Bernoulli, Gerald Glanzer, Thomas Wiebflecker, & Ulrich Walder. (2010). Infrastructurless indoor positioning system for first responders. 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: To overview the site of operation in case of an emergency is crucial for effective emergency management. This is a difficult task, in particular within large buildings or underground structures. Information about the whereabouts of the staff is a key element of effective disaster management. This paper presents an indoor positioning system which is able to track and locate people within buildings independent of any infrastructure (global navigation satellite system, WLAN installations, etc.). The system is based on inertial measurement units computing the track of its wearer and a component verifying this position estimates using floor plans of the building. This novel approach allows robust tracking and locating of action forces within buildings and underground structures.
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Nitesh Bharosa, Bart Van Zanten, Jaco Appelman, & Arre Zuurmond. (2009). Identifying and confirming information and system quality requirements for multi-agency disaster 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: This paper investigates the relevance and assurance of information and system quality as requirements for information systems success during disaster management. Despite the many examples of poor information quality and poor system quality, research on the relevance and assurance of these requirements is sparse. In order to design successful information systems for disaster management, a context related understanding of the organizational and technical measures for achieving these requirements is necessary. Accordingly, the goal of this paper is to identify and confirm information and system quality requirements for the design of information systems for disaster management. The results of our interviews with information architects indicate that while information quality requirements are considered to be very relevant, these are hard to measure and assure, and that currently much effort is being put into improving system quality requirements such as interoperability and ease of use.
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Christian Reuter, Marc-André Kaufhold, & René Steinfort. (2017). Rumors, Fake News and Social Bots in Conflicts and Emergencies: Towards a Model for Believability in Social Media. 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. 583–591). Albi, France: Iscram.
Abstract: The use of social media is gaining more and more in importance in ordinary life, but also in conflicts and emer-gencies. The social big data, generated by users, is partially also used as a source for situation assessment, e.g. to receive pictures or to assess the general mood. However, the information's believability is hard to control and can deceive. Rumors, fake news and social bots are phenomenons that challenge the easy consumption of social media. To address this, our paper explores the believability of content in social media. Based on foundations of infor-mation quality we conducted a literature study to derive a three-level model for assessing believability. It summa-rizes existing assessment approaches, assessment criteria and related measures. On this basis, we describe several steps towards the development of an assessment approach that works across different types of social media.
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Gregorio Convertino, Helena M. Mentis, Prajakta Bhambare, Caitlin Ferro, John M. Carroll, & Mary Beth Rosson. (2008). Comparing media in emergency planning. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 632–641). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The research on technology for emergency management is usually based either on studies in the field that focus on workers using current tools or on the development, testing, and deployment of novel software tools used in controlled settings. Little is known about the effects of the new collaborative media and work conditions 'in comparison to' the current media and conditions. In 2007, we presented at ISCRAM a method for studying common ground development through a paper prototype in face-to-face collaboration and subsequently presented preliminary findings on common ground development. In this paper we present preliminary findings from an analogous experiment on teams working remotely via a geo-collaborative software prototype. We compare these findings with those from the prior paper prototype study. We use this comparative research design to explore implications for system design and theory development in computer-supported cooperative work.
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Tom De Groeve, Zsofia Kugler, & G. Robert Brakenridge. (2007). Near real time flood alerting for the global disaster alert and coordination system. 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. 33–39). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: A new flood monitoring module is in development for the Global Disaster Alert and Coordination System (GDACS). GDACS is an information system designed to assist humanitarian responders with their decisions in the early onset after a disaster. It provides near-real time flood alerts with an initial estimate of the consequences based on computer models. Subsequently, the system gathers information in an automated way from relevant information sources such as international media, mapping and scientific organizations. The novel flood detection methodology is based on daily AMSR-E passive microwave measurement of 2500 flood prone sites on 1435 rivers in 132 countries. Alert thresholds are determined from the time series of the remote observations and these are validated using available flood archives (from 2002 to present). Preliminary results indicate a match of 47% between detected floods and flood archives. Individual tuning of thresholds per site should improve this result.
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Ur?ka Demsar, Olga Patenková, & Kirsi Virrantaus. (2007). Centrality measures and vulnerability of spatial networks. 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. 201–209). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Effective management of infrastructural networks in the case of a crisis requires a prior analysis of the vulnerability of spatial networks and identification of critical locations where an interdiction would cause most damage and disruption. This paper presents a preliminary study into how a graph theoretic structural analysis could be used for this purpose. Centrality measures are combined with a dual graph modelling approach in order to identify critical locations in a spatial network. The results of a case study on a street network of a small area in the city of Helsinki indicate that 'betweenness' is the most promising centrality measure for this purpose. Other measures and properties of graphs are under consideration for eventually developing a risk model not only for one but for a group of co-located spatial networks.
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Duygu Pamukcu, Christopher Zobel, & Yue Ge. (2022). A Data Envelopment Analysis-based Approach for Managing Performance of Public Service Systems During a Disaster. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 144–153). Tarbes, France.
Abstract: In addition to their normal task of supporting community participation, engagement, and improved information access, information technology-based public service systems are also essential for maintaining critical services and providing effective communication with citizens before, during, and after emergencies. This study focuses on the impacts of disaster events on the operational performance of such service systems and discusses opportunities for managing service efficiency by rearranging and reallocating resources during emergencies. To the best of our knowledge, this is the first attempt to provide a practical method for improving the relative efficiency of public service systems in such a context. We suggest a Data Envelopment Analysis (DEA) approach for quantifying the relative efficiencies associated with service requests from an input-output-based standpoint, and discuss the Orange County (Florida) 311 non-emergency service system, in the context of the COVID-19 pandemic, as an example of how such operational efficiency can be managed during a disruption.
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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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Sérgio Freire, Christoph Aubrecht, & Stephanie Wegscheider. (2012). When the tsunami comes to town – Improving evacuation modeling by integrating high-resolution population exposure. 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: Tsunamis are a major risk for Lisbon (Portugal) coastal areas whose impacts can be extremely high, as confirmed by the past occurrence of major events. For correct risk assessment and awareness and for implementing mitigation measures, detailed simulation of exposure and evacuation is essential. This work uses a spatial modeling approach for estimating residential population distribution and exposure to tsunami flooding by individual building, and for simulating their evacuation travel time considering horizontal and vertical displacement. Results include finer evaluation of exposure to, and evacuation from, a potential tsunami, considering the specific inundation depth and building's height. This more detailed and accurate modeling of exposure to and evacuation from a potential tsunami can benefit risk assessment and contribute to more efficient Crisis Response and Management. © 2012 ISCRAM.
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Jean-François Gagnon, Martin Rivest, François Couderc, & Sébastien Tremblay. (2012). Capturing the task model of experts in emergency response using SYnRGY. 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 need for better team measurement in realistic environments has been recognized as one of the key challenges that characterize the field of team work studies (Salas, Cooke, & Rosen, 2008). This challenge is particularly hard to address in the context of emergency response, due to the inherent complexity and dynamism of the domain. Emergency response is part of the emergency management cycle, and refers to the mobilization of the adequate actors and resources to mitigate the impact of an incident on the public and on the environment (Abrahamsson, Hassel, and Tehler, 2010). Emergency response often requires the cooperation of multiple agencies such as police, medical, and fire services, consequently increasing the complexity of such operations. We report of how SYnRGY – a human-centered emergency response technological tool – is embedded with extensive measurement and simulation capabilities to allow tracing of experts' task models in a silent and reliable way. We describe how these capabilities; combined with an innovative modeling technique – dynamic cognitive task modeling – can be used to extract experts' representations of the task. We discuss the importance of such a model for training, improvement of emergency response procedures and development of emergency response tools. © 2012 ISCRAM.
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Juan Godoy. (2007). A holistic approach to emergency evacuation information support systems. 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. 345–354). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In the USA the basic objective of local and state government's Emergency Operations Plans (EOP) is to implement mitigation measures to reduce the loss of life and property damage by the efficient mobilization and deployment of resources. The evacuation of citizens out of harms way either before an impeding disaster or after the occurrence of one is a critical component of any EOP. This document represents a summary of the Evacuation Plan designed for the City of New Orleans. Results of live field exercises conducted during the 2006 Hurricane Season and suggestions for improvement will be highlighted. The ideal Emergency Evacuation Tracking System will be designed to operate within a System of Systems framework with interfaces: to field personnel, emergency managers and logisticians operating in an Emergency Operations Center (EOC), with state and local government systems such as public information emergency hotline (311 Centers in the USA), asset tracking management systems and others.
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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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Jonas Rybing, Johan Larsson, Carl-Oscar Jonson, & Erik Prytz. (2016). Preliminary Validation Results of DigEmergo for Surge Capacity 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: This paper presents preliminary analysis from a validation study of a novel emergency medicine command and control training and evaluation simulator: DIGEMERGO®. The simulated emergency scenario was a surge capacity event at a generic emergency department, in which the participants took on a management role as the emergency department?s coordinating head nurse. A between group validation design with medical expert and novice participants was used. Initial analysis examined three triage measures associated with surge capacity management performance: time to triage, amount of patients triaged, and triage accuracy. The results show that experts were significantly more accurate at triaging in-hospital patients, but not incoming trauma patients. No significant differences in time or number of patients triaged was found. These initial results partially indicate simulator validity, but trauma patient triage accuracy suffered from a confounding variable in the triage system used. Analysis of additional measures is undergoing to further investigate validity claims.
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Josep Cobarsí, & Laura Calvet. (2020). Community resilience instruments: Chances of improvement through customization and integration? 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. 381–388). Blacksburg, VA (USA): Virginia Tech.
Abstract: Resilience is understood as the ability of a system, community or society exposed to hazards to resist, absorb, accommodate, adapt to, transform and recover from the effects of a hazard in a timely and efficient manner. So far, dozens of measurement instruments have been developed to measure community resilience to disasters, considering each one different types of hazards (general, natural, climate, man-made, etc.) and communities (general, urban, rural, etc.). However, none of these instruments has been widely adopted yet. In this context, we discuss important gaps for resilience research and practice. Then, we propose a conceptual framework to review community resilience instruments, so to enhance their improvement through two facets (or dimensions) we propose of customization and integration. This framework is characterized by the following properties for community resilience instruments: encapsulation, intelligibility, geographical focus, hazard range focus, connectivity, adaptability to dynamic conditions, datification, and stakeholders' involvement. We look forward to apply this framework to review a purposive sample of community resilience instruments regarding natural disasters.
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Stas Simon Krupenia, & Cécilia Aguero. (2012). Asset distribution with a multitouch table. 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 examined to what extent a MultiTouch Table (MTT) can support a collaborative Operational Planning Asset Distribution task as compared to traditional Spreadsheet methods. Participants were given different and complementary specialist roles and were then asked to distribute different sets of assets over an area of Operations with multiple known and unknown 'needs'. Additionally, participants had to satisfy a series of real time intelligence recommendations regarding potential needs. Of interest were subjective usability ratings and objective performance measures in terms of need fulfillment and satisfying intelligence recommendations. We found that on all but one usability measure participants rated the MTT more positively than the Spreadsheets. There was also a non-significant trend for greater needs fulfillment and resolving intelligence recommendations using the MTT than the spreadsheets. On the basis of the results we suggest that MTT technology offers a viable tool for supporting collaborative Asset Distribution tasks in general. © 2012 ISCRAM.
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Vitaveska Lanfranchi, Suvodeep Mazumdar, & Fabio Ciravegna. (2013). Evaluating the real usability of a C2 system – Short and controlled vs long and real. 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. 62–66). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Command and Control systems (C2) need to be highly usable to efficiently support communication during crisis situations. Short-term usability evaluations are typically carried out because of the cost and time advantage. However, even the most realistic evaluations (simulations) do not reflect the real issues encountered “in the wild”, such as the operators' stress or the multiple foci of attention. In this paper we carry out an experiment to measure the changes in usability of a C2 system between a short-term simulation and a long-term “in the wild” evaluation. We demonstrate that short-term usability measurements can differ significantly from long-term “in the wild” ones. Our results indicate that a different approach to usability assessment is needed when dealing with critical systems, that takes into account the temporal horizon and assesses the system in real-life conditions.
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Ana Laugé, Josune Hernantes, & Jose Mari Sarriegi. (2013). Disaster impact assessment:A holistic framework. 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. 730–734). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: One of the important aspects of the crisis management consists in a comprehensive analysis of the impacts generated and their associated cost. The capacity to carry out an efficient holistic management, through the development of preventive measures and response programs relies on a proper estimation of impacts which helps to mitigate the harshness or can even avoid impacts in face of future crises. The aim of this paper is to analyse existing methodologies for natural disasters' impact evaluation, the identification of the different impact categories as well as the explanation of a natural disasters impact framework, which includes a list of indicators for a correct impact assessment. The framework also analyses the evolution of impacts, that is, how immediate impacts can also generate delayed impacts.
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Maria Mikela Chatzimichailidou, Stefanos Katsavounis, & Ioannis M. Dokas. (2015). A Measure of Systems Self-Awareness. 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: In order to be proactive to accidents, there is a need to limit systems? threats and vulnerabilities by being able to perceive and comprehend them as early as possible. Under this notion, the concept of ?risk Situation Awareness provision capability? is introduced, indicating that the elements of a system, tangible or not, have an impact on the enhancement or degradation of the awareness, in reference to its threats and vulnerabilities. As a means of measuring this capability, a methodology, based on existing yet not combined methods, i.e. STPA hazard analysis, EWaSAP early warning sign identification approach, and dissimilarity measures, is offered. This paper looks at analogous SA measurement techniques and finally discusses some limitations and future research directions.
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Mirjam Merz, Valentin Bertsch, Otto Rentz, & Jutta Geldermann. (2007). Assessment of industrial asset values at risk. 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. 235–243). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In the event of natural disasters and extreme events like storms, floods and earthquakes, not only people, residential buildings and infrastructure, but also industry can be seriously affected. Direct losses to installations as well as indirect losses e.g. interruption of production can cause severe damage to companies and the economy as a whole. For a comparative and quantitative risk assessment and as a prerequisite for emergency planning and crisis management (e.g. planning of mitigation measures), a financial appraisal of industrial assets at risk is needed. This paper presents the reference installation approach which is a methodology that allows a consistent and transparent assessment of individual industrial asset values. In this bottom up approach due to the consideration of the heterogeneity of various industrial sectors, the obtained results can be depicted for a detailed spatial distribution and on a high degree of accuracy.
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Nicoletta Baroutsi. (2018). A Practitioners Guide for C2 Evaluations: Quantitative Measurements of Performance and Effectiveness. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 170–189). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: Quantitative evaluations are valuable in the strive for improvements and asserting quality. However, the field of Command & Control (C2) evaluations are hard to navigate, and it is difficult to find the correct measurement for a specific situation. A comprehensive Scoping Study was made concerning measurements of C2 performance and effectiveness. A lack of an existing appropriate framework for discussing C2 evaluations led to the development of the Crisis Response Management (CRM) Matrix. This is an analysis tool that assigns measurements into categories, and each category display unique strengths, weaknesses and trends. The analysis yielded results proving to be too rich for a single article, thusly, this is the first of two articles covering the results. In this article, the Practitioners Guide focus on results valuable for someone interested in evaluating C2. Each evaluation has specific requirements that, for best result, ought to be reflected in the chosen measurement.
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Tom Ritchey. (2006). Modeling multi-hazard disaster reduction strategies with computer-Aided morphological analysis. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 339–346). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: Disaster Risk Management (DRM) is a multi-dimensional problem complex requiring knowledge and experience from a wide range of disciplines. It also requires a methodology which can collate and organize this knowledge in an effective, transparent manner. Towards this end, seven specialists from the social, natural and engineering sciences collaborated in a facilitated workshop in order to develop a prototype multi-hazard disaster reduction model. The model, developed with computer-Aided morphological analysis (MA), makes it possible to identify and compare risk reduction strategies, and preparedness and mitigation measures, for different types of hazards. Due to time constraints, the model is neither complete nor accurate-but only represents a proof-of-principle. The workshop was sponsored by the Earthquake Disaster Mitigation Research Center (EDM) in Kobe, in January, 2005.
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