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Alec Pawling, Tim Schoenharl, Ping Yan, & Greg Madey. (2008). WIPER: An emergency response system. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 702–710). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper describes the WIPER system, a proof of concept prototype, and progress made on its development to date. WIPER is intended to provide emergency response managers with an integrated system that detects possible emergencies from cellular communication data, attempts to predict the development of emergency situations, and provides tools for evaluating possible courses of action in dealing with emergency situations. We describe algorithms for detecting anomalies in streaming cellular communication network data, the implementation of a simulation system that validates running simulations with new real world data, and a web-based front end to the WIPER system. We also discuss issues relating to the real-time aggregation of data from the cellular service provider and its distribution to components of the WIPER system.
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Muhammad Tauhidur Rahman, & Tarek Rashed. (2007). Towards a geospatial approach to post-disaster environmental impact assessment. 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. 219–226). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Natural disasters often leave profound impacts on the environment. Existing disaster impact assessment methods fall short in facilitating the relief work and in conducting cross-sectional comparison of various facets of such impacts. The development of a standardized index for measuring/monitoring the environmental impacts of disasters is necessary to address this gap. This paper proposes a conceptual framework to study the environmental impacts via remote sensing/GIS based geospatial analytical approach by developing a post-disaster environmental severity index. It considers physical, social and built-in components of the environment and identifies several key indicators of disaster impacts. Through statistical decomposition of a large number of environmental impact indicators, the study proposes a composite post-disaster environmental severity index (PDESI). Mapping of the proposed index would help identification of areas and component of the environment that are severely affected by a disaster, and formulation of disaster mitigation and damage recovery plans accordingly.
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André Sabino, & Armanda Rodrigues. (2011). Understanding the role of cooperation in emergency plan construction. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In this paper we describe a proposal for information organization for computer supported cooperative work, while working with spatial information. It is focused on emergency response plan construction, and the requirements extracted from that task. At the centre of our proposal is the analysis of the structure of the cooperative workspace. We argue that the internal information representation should follow a spatial approach, tying the structure used to manage users with the structure used to manage information, suggesting the use of different spaces to represent the information. The gain we expect from this approach is the improved capacity to extract information on how people are cooperating and their relationship with the information they are working with. The ideas are introduced while focusing on real life emergency planning activities, where we discuss the current shortcomings of the cooperation strategies in use and propose a solution.
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Benjamin Schooley, Brian Hilton, Yoonmi Lee, Rondalynne McClintock, Samuel-Ojo Olusola, & Thomas Horan. (2010). CrashHelp: A GIS tool for managing emergency medical responses to motor vehicle crashes. 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 presents the research, design, and development of a comprehensive trauma information system inclusive of 911dispatch, Emergency Medical Services, and hospital trauma information. A proof-of-concept GIS based information system was designed and developed for use by trauma and emergency medical practitioners. Methods used include end-user focus group discussions, quantitative and qualitative data analysis, and an iterative system development process. A framework from prior research was utilized; a framework that considers the visualization of emergency medical events across an end-to-end continuum of patient care. Analyses performed provided a multi-layered understanding of the practical and theoretical implications of using an end-to-end information schema for emergency response and trauma health systems.
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André Simões, Armanda Rodrigues, Patricia Pires, & Luis Sá. (2011). Evaluating emergency scenarios using historic data: Flood management. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The evaluation of an emergency scenario is often based on the use of simulation models. The specificity of these models involves the need for a complex evaluation of the problem domain, including the physical conditions behind the considered threat. Based on emergency occurrences data, provided by the Portuguese National Civil Protection Authority, we are currently developing a methodology for evaluating a real situation, based on past occurrences. The aim is to develop a platform that will enable the evaluation of a risk scenario based on existing civil protection data. The methodology under development should enable the evaluation of different scenarios based on the collected available data. This will be achieved thanks to the facilitated configuration of several aspects, such as the geographical region and relevant properties of the considered threat. In this paper, we describe the methodology development process and the current state of the platform for risk evaluation.
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Brian M. Tomaszewski, & Alan M. MacEachren. (2006). A distributed spatiotemporal cognition approach to visualization in support of coordinated group activity. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 347–351). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: Technological advances in both distributed cooperative work and web-map services have the potential to support distributed and collaborative time-critical decision-making for crisis response. We address this potential through the theoretical perspective of distributed cognition and apply this perspective to development of a geocollaborationenabled web application that supports coordinated crisis management activities. An underlying goal of our overall research program is to understand how distributed cognition operates across groups working to develop both awareness of the geographic situation within which events unfold, and insights about the processes that have lead to that geographic situation over time. In this paper, we present our preliminary research on a web application that addresses these issues. Specifically, the application (key parts of which are implemented) enables online, asynchronous, map-based interaction between actors, thus supporting distributed spatial and temporal cognition, and, more specifically, situational awareness and subsequent action in the context of humanitarian disaster relief efforts.
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Jiri Trnka, Michael Le Duc, & Ake Sivertun. (2005). Inter-organizational issues in ICT, GIS and GSD – Mapping Swedish emergency management at the local and regional level. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 75–82). Brussels: Royal Flemish Academy of Belgium.
Abstract: Inter-organizational issues are very challenging in emergency management (EM). In this paper, aspects of information and communication technologies (ICT), geographical information systems (GIS) and geospatial data (GSD) in the Swedish EM system, an EM system involving a large number of EM organizations, are reported based on a case study. The issues concerned include separated ICT & GIS development between organizations and formation of technological coalitions, problems of identification and access of GSD, located through the large number organizations, as well as uncoordinated launching of web-based GIS service. Possible implications of this situation for command and control are discussed. Additionally, areas for further research are suggested.
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Remko Van Der Togt, Euro Beinat, & Henk J. Scholten. (2004). Location-based emergency medicine: Medical Location Services for emergency management: Information and coordination of rescue resources. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management (pp. 45–50). Brussels: Royal Flemish Academy of Belgium.
Abstract: Crisis and disaster management in the Netherlands has made huge leaps forward in recent years with regard to different organisations trying to manage one or more aspects of the safety chain. This research focuses on the information structure of health care during disasters with an aim to improve disaster management and tries to answer the following question: How can location based services improve information services within health care during disasters? Through the use of literature and interviews this thesis describes how disaster management can be improved through the use of Location Based Services (LBS). The scope of this research is aimed at better understanding the organisational processes during somatic health care. By defining a case and on the basis of literature and interviews in the Province of Utrecht, it was possible to develop a three layer graph model (3LGM). This model shows an overview of information processes performed by the health care organisation during the first hour after an accident. In this context, the 3LGM model is used to obtain an overview of the quality of information processing in such a problem area. The organisational structure, which deals with disaster management, consists of a strong co-operation between the police, fire departments, the local government and the 'Medical Aid during Accidents and Disasters' (GHOR). The size of the organisation depends largely upon the scale of the disaster, however the current information structure is not suitable for storing and processing the information in an efficient and effective manner. The same applies when displaying information related to casualties and safety within an area. With the help of location based services consisting of, geographical information systems (GIS), global positioning systems (GPS) and second or third generation telecommunication technologies, the existing information structure can be optimised. Expected advantages are higher accessibility to health care, a safer environment for rescuers, more time for managing the healthcare processes and an improved interdisciplinary co-operation between the police, fire departments, the local government and the GHOR. © Proceedings ISCRAM 2004.
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Kera Z. Watkins, Katrina Simon-Agolory, Anuradha Venkateswaran, & Deok Nam. (2011). Get a plan! Automatically generating disaster preparedness plans using WILBER. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: It is common knowledge that having a relevant disaster preparedness plan is helpful for saving lives and money during an actual crisis. However, few individuals and families have a plan in the United States. Less than 10% of US states provide online resources for individuals and families to develop customized basic disaster plans. Those states sometimes offer additional information particular to their areas. However, existing online resources could be extended nationally by automatically providing additional plan information based on localized threats (e.g. climate, terrorism, etc.) within a geographical area. Wilberforce University has designed a solution called Wilberforce's Information Library Boosting Emergency Response (WILBER) which utilizes an interdisciplinary approach to automatically generate information based on localized threats within a geographical area to extend a basic disaster preparedness plan for individuals and families. WILBER combines current and historical information from Geographical Information Systems (GIS), risk assessment, wireless sensors, and computing.
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Sarp Yeletaysi, Frank Fiedrich, & John R. Harrald. (2008). A framework for integrating GIS and systems simulation to analyze operational continuity of the petroleum supply chain. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 586–595). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Crisis and disaster management is a field that requires the understanding and application of tools and knowledge from multiple disciplines. Hurricanes Katrina and Rita in 2005 have proven that U.S. petroleum infrastructure is vulnerable to major supply disruptions as a direct result of disasters. Due to the structure of U.S. oil supply chain, primary oil production centers (i.e. PADD* 3) are geographically separated from primary demand centers (i.e. PADD 1), which creates a natural dependency between those districts. To better understand the extent of those dependencies and downstream impacts of supply disruptions, a multi-disciplinary research approach is necessary. The cross-disciplines in this research include disaster management, critical infrastructure and oil supply chain management, and the utilization of geographic information systems (GIS) and systems simulation. This paper specifically focuses on the framework for integrating GIS and systems simulation as analysis tools in this research.
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