Roberto Ferreira Júnior, Paulo Victor R. de Carvalho, Salman Nazir, José Orlando Gomes, & Gilbert Jacob Huber. (2016). Assessment Team Decision-Making: One Way to Assess the Multi-Criteria Decision-Making Based on Observation. 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: Decision-making has been a subject actively investigated in several areas of knowledge such as Philosophy, Economics, Psychology, Computer Science, among others. This paper explores the potential opportunities offered by two methodologies to assess the team decision-making at the end of a simulated exercise (training). We present a case study showing how to measure the team decision-making combining both methodologies to assess a team of three experienced Officers from the Military Fire Brigade of the State of Rio de Janeiro. The simulated exercise was carried out within the Integrated Center of Command and Control of Rio de Janeiro. We intend this study provide a pathway that can be helpful in reducing the subjectivity generated during the observation of the team decision-making in Emergency Management environments.
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Yiting Zheng, Jianguo Chen, Wenjie Tang, & Jiaxiang Xu. (2016). Research on Target Diversity and Risk Analysis Model of Terrorist Attack. In A. Tapia, P. Antunes, V.A. Bañuls, K. Moore, & J. Porto (Eds.), ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management. Rio de Janeiro, Brasil: Federal University of Rio de Janeiro.
Abstract: Terrorist attack continues to spread in the world which leads to severe casualties and property losses and poses great pressure to the government. Therefore it is essential to identify the potential targets terrorists may select, assess the risk level and take risk management measures in advance. Aiming to this problem, the paper provides a new analysis method. Firstly it investigates target types terrorists prefer to and target diversity based on the data in Global Terrorist Database ; Then it puts forward the target risk analysis of three-dimensional model which considers the threat probabilityã?the target vulnerability and the consequence severity; Finally, the paper calculates and assesses the risk level using the fuzzy synthesis decision-making method, and two examples are given to prove the feasibility of the model. The result can contribute to target risk analysis and emergency preparedness or management of terrorist attack.
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Alexandre Ahmad, Olivier Balet, Arjen Boin, Julien Castet, Maureen Donnelley, Fabio Ganovelli, et al. (2016). Assessing the Security of Buildings: A Virtual Studio Solution. 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 an innovative IT solution, a virtual studio, enabling security professionals to formulate, test and adjust security measures to enhance the security of critical buildings. The concept is to virtualize the environment, enabling experts to examine and assess and improve on a building?s security in a cost-effective and risk-free way. Our virtual studio solution makes use of the latest advances in computer graphics to reconstruct accurate blueprints as well as 3D representations of entire buildings in a very short timeframe. In addition, our solution enables the creation and simulation of multiple threat situations, allowing users to assess security procedures and various responses. Furthermore, we present a novel device, tailored to support collaborative security planning needs. Security experts from various disciplines evaluated our virtual studio solution, and their analysis is presented in this paper.
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Ana-Gabriela Núñez, Mª Carmen Penadés, & José H. Canós. (2016). QuEP: Building a Continuous Improvement of Emergency Plans 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: While different governments worldwide have published sets of recommendations-or even laws-for increasing preparedness, a reference framework to assess the level of compliance of organizations is still to come. For instance, emergency plans often remain stored in closets where they stay until some emergency or major legal change occurs. Consequently, achieving actual preparedness is difficult to assess. QuEP is a framework for the assessment and improvement of the management of emergency plans within organizations. It is inspired by the Total Quality Management strategy, and provides a hierarchy of emergency plan management maturity levels. The aim of QuEP is to guide organizations to assess and improve their emergency preparedness by following a set of principles, practices and techniques at the technical, human and strategic levels. In this paper, we show the model underlying the framework, and give details of the current framework evaluation processes.
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Tina Comes, & Anouck Adrot. (2016). Power as Driver of Inter-Organizational Information Sharing in Crises. 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: Research on decision-making and coordination in critical settings has provided important insights on resources and behaviors that improve emergency response. However, literature often assumes that decision-makers can access information when necessary, while empirical reality suggests that information is not always so easily accessed, but more or less shared between emergency actors. This research in progress aims to investigate how a specific organizational variable, power, influences information sharing behaviors? and its impact on emergency management. This research relies on two field studies to highlight in an inductive fashion a set of hypotheses on power in emergency organizations. We propose axes of investigation that map out ways to further explore the issue of power in emergency settings.
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Tongshen Zheng, Shunjiang Ni, Shifei Shen, Yan Wang, & Yang Tai. (2016). Numerical Study of Radioactive Pollutants Dispersion in Radioactive ?Dirty Bomb? Events. 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: The simulation of radioactive pollutants dispersion is critical for emergency response of the nuclear terrorism. The radioactive ?dirty bomb?, also called radiological dispersion device (RDD), produced and used by the terrorist to make fearful and radioactive pollution in general, has a great risk on humans. Numerical investigation of the impact of different configurations on radioactive pollution release and dispersion in urban buildings is made in this paper. The numerical simulations used the OpenFOAM, a free and open source software for computational fluid dynamics (CFD), and the simulations can be implanted to the information system of the nuclear terrorism emergency decision support system(EDSS) as the consequence assessment subsystem conveniently. The study showed that the configurations of building canyon and the position relationship of the source item and the buildings both affect the concentration distributions around the buildings.
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Haitao Sun, Zhiru Wang, Guofeng Su, & Jianguo Chen. (2016). Topological Structure Vulnerability Assessment of Shanghai Urban Metro Networks. 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: Topological structure vulnerability assessment approach for Urban Metro Networks (UMNS) was proposed in order to decrease the impact caused by incidents. Failure scale of stations and sections random failure and target attacks was evaluated. The results show that UMNS is more vulnerable to target attacks on stations than random failure on stations. But UMNS is less vulnerable to target attacks on sections than random failure on sections. Additionally, UMNS is more vulnerable to station failure than sections. It could be concluded as more resources should be put on big transfer stations in UMNS operation management to avoid large scale impacts. The proposed methodology is not intended to predict the occurrence of events but rather to be used a management tool. Results from the evaluation are valuable elements in planning UMNS. They can be used for network planning, further detailed hazard studies, deciding on the arrangement of emergency resources.
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Daniel Iland, & Elizabeth Belding. (2016). Dynamic, Data-Driven Optimization of Solar Powered Charging Kiosks for Crisis Response. 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: In this paper, we describe methodologies for using portable, solar powered charging kiosks to provide mobile phone charging to communities following a disaster. We do not strive to provide a comprehensive alternative to grid power, rather we focus on charging mobile phones and other battery-powered devices. The small size of portable solar systems come with a trade-off: demand for power may exceed battery capacity and solar power generation. In such cases, power output must be regulated in order to maintain the functionality of the system, or the system may be modified to produce more power by adding more solar panels, or to store more power by adding additional batteries. We model user demand for power and kiosk power generation, battery status, and power output to inform the development, deployment, operation and reconfiguration of such kiosks following a disaster.
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Yi Xiong, Weiping Si, & Xia Wu. (2016). Analysis of Emergency Response for Accident of Oil and Gas Pipeline Based on Stochastic Petri Net. 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: Emergency response plays an important role in reducing the loss of an accident. And the excellent plan is important to ensure the high efficiency of the emergency response system. However, actions of emergency response arranged in emergency plan can hardly be assessed before the plan is used. Stochastic Petri Net (SPN) is proposed to analyze the performance of emergency response for oil and gas pipeline accident. The results show that the average execution time of SPN model can be used to evaluate effectiveness of emergency response. Then place average mark number indicates that emergency decision-making is the most important segment to optimize emergency work flow. And utilization rate of transition shows that decreasing the cost time of maintenance is the key to improve efficiency of emergency response.
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Victor A. Bañuls, Cristina López-Vargas, Fernando Tejedor, Murray Turoff, & Miguel Ramirez de la Huerga. (2016). Validating Cross-Impact Analysis in Project Risk Management. In A. Tapia, P. Antunes, V.A. Bañuls, K. Moore, & J. Porto (Eds.), ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management. Rio de Janeiro, Brasil: Federal University of Rio de Janeiro.
Abstract: Companies work increasingly more on projects as a means of executing organizational decisions. However, too many enterprise projects result in failure. Hence, firms should follow a risk management method that drives their projects toward success. Nevertheless, project managers often deal with risks intuitively. This is partly because they lack the proper means to correctly manage the underlying risks which affect the entire cycle of their projects. Therefore, one purpose is to identify the critical events that managers may encounter before the beginning of the project and during its development. In addition, we propose CIA-ISM to represent existing relationships between the unforeseen events in the project?s lifetime and their key performance indicators. This also predicts the influence of risks on project performance over time by means of scenarios. The tool proposed would thus help practitioners to manage enterprise projects risks in a more effective and proactive way. We have validated the predictive capability of the CIA-ISM model with 22 real projects. The results show a high level of predictive capability in terms of risk analysis and key performance indicators.
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Mark Parent, Jean-François Gagnon, Tiago H. Falk, & Sébastien Tremblay. (2016). Modeling the Operator Functional State for Emergency Response 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: New technologies are available for emergency management experts to help them cope with challenges such as information overload, multitasking and fatigue. Among these technologies, a wide variety of physiological sensors can now be deployed to measure the Operator Functional State (OFS). To be truly useful, such measures should not only characterize the overall OFS, but also the specific dimensions such as stress or mental workload. This experiment aimed to (1) design a multi-dimensional model of OFS, and (2) test its application to an emergency management situation. First, physiological data of participants were collected during controlled experimental tasks. Then, a support vector classifier of mental workload and stress was trained. Finally, the resulting model was tested during an emergency management simulation. Results suggest that the model could be applied to emergency management situations, and leave the door open for its application to emergency response on the field.
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Laura Laguna Salvadó, Matthieu Lauras, Tina Comes, & Mathieu Grenade. (2016). A Study on the Sub-Regionalization of Humanitarian Supply Chain: the IFRC 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: Humanitarian Supply Chain (HSC) performance is a key factor for disaster response. In order to be more responsive, the typical humanitarian supply strategy has evolved from a centralized to a decentralized network, generally at regional level. The objective was to reduce lead-times and costs. However, after a decade of working, organizations like the Americas and Caribbean International Federation of the Red Cross and Red Crescent (IFRC) have noticed that those objectives are only partially reached and have decided to go further in the evolution by developing sub-regionalized networks. In this study, we analyse the HSC sub-regionalization process to better understand the challenges and opportunities for humanitarian organizations. Three key aspects are point out: implementation, real-time monitoring and operations? cost-efficiency. Based on these results and considering the law maturity level of humanitarian organizations in terms of Information and Decision-Support Systems, we conclude with giving concrete guidelines for designing and developing ad-hoc monitoring and orchestrating systems.
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Takuya Oki, & Toshihiro Osaragi. (2016). Wide-area Evacuation Difficulty in Densely-built Wooden Residential Areas. 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: In aiming to decrease the number of casualties and people with difficulty in wide-area evacuations due to a large earthquake, it is highly important to visualize and quantify the potential danger in residential areas. In this paper, we construct a multi-agent simulation model, which describes property damage (such as building-collapse, the spread of fire and blocking of streets) and people?s evacuation behavior after an earthquake occurring. Using this simulation model, we quantify the wide-area evacuation difficulty in densely-built wooden residential areas, and evaluate the past project to improve buildings and streets based on this indicator. Furthermore, we demonstrate the effects of adding new evacuation routes between two intersections of streets with narrow width and long distance. Through these case studies, the effectiveness of our simulation model on urban disaster mitigation planning is shown.
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Melanie Eckle, João Porto de Albuquerque, Benjamin Herfort, Alexander Zipf, Richard Leiner, Rüdiger Wolff, et al. (2016). Leveraging OpenStreetMap to Support Flood Risk Management in Municipalities: A Prototype Decision Support System. 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: Floods are considered the most common and devastating type of disasters world-wide. Therefore, flood management is a crucial task for municipalities- a task that requires dependable information to evaluate risks and to react accordingly in a disaster scenario. Acquiring and maintaining this information using official data however is not always feasible, especially for smaller municipalities. This issue could be approached by integrating the collaborative maps of OpenStreetMap (OSM). The OSM data is openly accessible, adaptable and continuously updated. Nonetheless, to make use of this data for effective decision support, the OSM data must be first adapted to the needs of decision makers. In the pursuit of this goal, this paper presents the OpenFloodRiskMap (OFRM)- a prototype for a OSM based spatial decision-support system. OFRM builds an intuitive and practical interface upon existing OSM data and services to enable decision makers to utilize the open data for emergency planning and response.
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Audrey Fertier, Aurélie Montarnal, Anne-Marie Barthe-Delanoë, Sébastien Truptil, & Frédérick Bénaben. (2016). Adoption of Big Data in Crisis 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: Most agree that the innate complexity and uncertainty of a crisis compel the stakeholders to coordinate in a hurry, despite their heterogeneity or the volume of data to process. Supporting their coordination is now possible, thanks to a mediation system combined with big data management tools. The GéNéPi1 project explores this possibility and proposes to improve the generation of collaborative processes offered by the MISE2?s solution. The idea is to increase the number of usable data sources. To do that, in a fixed time-frame, the situation models have to be instantly generated upon sets of raw data. This new methodology holds the key to a new big data era: an age where global understanding reigns.
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Nadia Saad Noori, Jeroen Wolbers, Kees Boersma, & Xavier Vilasís Cardona. (2016). A Dynamic Perspective of Emerging Coordination Clusters in Crisis Response Networks. 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: Disasters and crisis create complex conditions that require intra-organizational and inter-organizational coordination throughout the duration of response operations. Emergency response plans and Incident Command Systems that are implemented at times of crisis are well defined on the intra-organizational level, following organization?s own hierarchy and resources. However, in reality, units of different organizations behave differently as they form sub-networks to carry out tasks involved in response operations, despite differences in operating protocols and training background. In this paper we introduce a novel approach to study crisis response networks: the emergence of coordination clusters. The results indicate resilience in the behavior of response units from different organizations as they re-organize into coordination clusters and collectively respond to the unfolding emergency events. Understanding characteristics of coordination clusters helps to identify critical tasks and units beside resources required during emergency response operations. Our results contribute to the continuous change in the concepts of crisis response management and the shift towards a network and function based response protocols.
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Christian Flachberger, & Eduard Gringinger. (2016). Decision Support for Networked Crisis & Disaster Management ? A Comparison with the Air Traffic Management Domain. 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 is about European networked crisis and disaster management and how to achieve more intelligent decision support and better collaboration. Although collaboration processes are established, the underlying information management tools today don?t support integrated electronic information management in multi-organizational scenarios. This leads to a fragmentation of relevant information into pieces held by different stakeholders. Recently, the concept of the Common Information Space has been introduced as possible solution. This paper looks to the domain of Air Traffic Management where a similar problem was tackled by a concept called System Wide Information Management. The paper starts with describing the operational context, the unresolved needs, and the derived requirements. Experiences from the Air Traffic Management domain are gathered and compared with current solution concepts from the public safety domain. The paper concludes with lessons learned during the on-going development in the public safety domain.
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Laura Laguna Salvadó, Matthieu Lauras, & Tina Comes. (2016). Towards a Monitoring System for American IFRC Logistics Network. 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: The International Federation of the Red Cross and Red Crescent (IFRC), is one of the many humanitarian organizations that are further developing their logistics network more decentralized structures with sub-regional networks. One of the main challenges identified is the need of monitoring tools to have a real-time overview of the whole logistics network state, and optimization of the associated operations through real-time decision support systems. Logistics departments of humanitarian organizations have not adopted the technological developments that are standard in the commercial sector due to critical differences, and the IFRC is not an exception. This paper presents a case study conducted with the American and Caribbean IFRC. We present user requirements and specifications for the design of a real-time monitoring system dedicated the sub-regional network. It particularly addresses the challenges to simplify remote data collection, visualization and analysis.
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Mohd Khairul Azmi Hassan, & Yun-Heh Chen-Burger. (2016). Communication and Tracking Ontology Development for Civilians Earthquake Disaster Assistance. 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: One of the most important components of recovery and speedy response during and immediately after an earthquake disaster is a communication and tracking which possibly capable of discovering affected peoples and connects them with their families, friends, and communities with first responders and/or to support computational systems. With the capabilities of current mobile technologies, we believed that it can be a smart earthquake disaster tools aid to help people in this situation. Ontologies are becoming crucial parts to facilitate an effective communication and coordination across different parties and domains in providing assistance during earthquake disasters, especially where affected locations are remote, affected population is large and centralized coordination is poor. Several existing competing methodologies give guidelines as how ontology may be built, there are no single right ways of building an ontology and no standard of Disaster Relief Ontology exist, although separated related ontologies may be combined to create an initial version. This article discusses the on-going development of an ontology for a Communication and Tracking System (CTS), based on existing related ontologies, that is aimed to be used by mobile phone applications to support earthquake disaster relief at the real-time.
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Yasir Javed. (2016). Sensors-based Crisis Response and Management for Mass Gatherings: A Case of Hajj. 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: Many people die or are lost every year during mass gatherings around the world hence making it very difficult for the local authorities to track them and identify them in case of accidents. This paper proposes a system for tracing of lost, injured and dead using network of Radio Frequency Identifiers (RFID) tags and mobile phones. With such a system, time, effort, and cost can be significantly minimized hence eliminating the psychological torture through which relatives of the lost passes though. The proposed system can also be used for crowd management in a real time. For outdoor tracking, where placing RFID readers is not practical, the paper proposes mobile-based peer to peer network for tracking pilgrims who don?t have access to the internet or don?t have GPS facility in their mobile phones. The paper also proposed a plan of testing the prototype in simulation.
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Maude Arru, Brice Mayag, & Elsa Negre. (2016). Early-Warning System Perception: a Study on Fire Safety. 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: Warnings can help prevent damage and harm if they are issued timely and provide information helping responders and population to adequately prepare for the disaster to come. Today, there are many indicator and sensor systems that are designed to reduce disaster risks, or issue early warnings. In this paper we analyze the perception that people have from security management systems and we propose an indicator to measure Early-Warning System perception for people-oriented decision support. To illustrate our approach, we present a study of the fire safety system in our University.
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Elisa Canzani. (2016). Modeling Dynamics of Disruptive Events for Impact Analysis in Networked Critical Infrastructures. 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: Governments have strongly recognized that the proper functioning of critical infrastructures (CIs) highly determines the societal welfare. If a failed infrastructure is unable to deliver services and products to the others, disruptive effects can cascade into the larger system of CIs. In turn, decision-makers need to understand causal interdependencies and nonlinear feedback behaviors underlying the entire CIs network toward more effective crisis response plans. This paper proposes a novel block building modeling approach based on System Dynamics (SD) to capture complex dynamics of CIs disruptions. We develop a SD model and apply it to hypothetical scenarios for simulation-based impact analysis of single and multiple disruptive events. With a special focus on temporal aspects of system resilience, we also demonstrate how the model can be used for dynamic resilience assessment. The model supports crisis managers in understanding scenarios of disruptions and forecasting their impacts to improve strategic planning in Critical Infrastructure Protection (CIP).
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Michael Bartolacci, & Stanko Dimitrov. (2016). A Network Interdiction Perspective for Providing Emergency Communications: An Analysis for Promoting Resiliency Subject to Resource Constraints and Security Concerns. 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: Disasters, whether natural or manmade, and other types of emergencies create the need for immediate and secure communications between and among the affected populace, governmental agencies, non-governmental organizations (NGOs) and other types of emergency responders. It is through these communications that the affected populace is able to show resilient behavior, both psychologically and economically. A network interdiction model is proposed that can be utilized to create a more reliable design for such a communications network against the motives of would-be attackers whose aim it is to disrupt emergency communications and inflict damage on the affected populace. The contribution of this work is the application of the network interdiction modeling framework to an emergency communication scenario.
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Lutiane Queiroz de Almeida, Torsten Welle, & Jörn Birkmann. (2016). A Methodological Proposal to Disaster Risk Indicators in Brazil. 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 article provides a tool to help assess, visualise and communicate different levels of exposure, vulnerability and risk in Brazil. The Disaster Risk Index in Brazil may sensitise public and political decision-makers towards the important topic of disaster risk and climate change adaptation. This article aims to explore the feasibility and usefulness of such a national risk index that considers both natural hazard phenomena and social vulnerability. The results showed that the risk is strongly interwoven with social-economic and cultural conditions and normal everyday life, as well as with the performance of state institutions dealing with Disaster Risk Reduction and Disaster Risk Management, in other words, vulnerability. Spatial trends of disaster risk and vulnerability, products of this research, also have stressed the serious inequalities between and within regions of the country, which result in barriers to the development of the DRR and DRM in Brazil as a whole.
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Mihoko Sakurai, Jose J Gonzalez, Richard T. Watson, & Jiro Kokuryo. (2016). A Capital Model for Disaster Resilience. 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 proposes a capital model for disaster resilience. A central notion to this effect is viewing an organization as a capital conversion and capital creation system (Mandviwalla et al. 2014). Systems resilience was originally defined as the measure of a system?s persistence and ability to absorb disturbances (Holling 1973). Our approach corresponds to ?resilience-1; Resilience as rebound from trauma and return to equilibrium as,? which according to Woods (2015) is one of the four main categories of disaster resilience. We develop a system dynamics model expressing the main features observed in selected municipalities affected by the Great East Japan Earthquake. We show that the model is able to describe qualitatively the processes of capital destruction by the earthquake with the associated tsunami and the subsequent capital recreation. We discuss how the system dynamics model can be used to further increase our understanding of capital conversion processes in disaster resilience.
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