Anthony C. Robinson, Robert E. Roth, & Alan M. MacEachren. (2010). Challenges for map symbol standardization in crisis management. 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: A wide range of local, regional, and federal authorities will generate maps to help respond to and recover from a disaster. It is essential that map users in an emergency situation can readily understand what they are seeing on these maps. Standardizing map symbology is one mechanism for ensuring that geospatial information is interpretable during an emergency situation, but creating an effective map symbol standard is a complex and evolving task. Here we present preliminary results from research into the application of the ANSI 415-2006 INCITS Homeland Security Map Symbol Standard, a point symbol standard intended to support emergency management mapping for the U.S. Department of Homeland Security. This standard has so far not been widely adopted across the full range of DHS missions, and we elaborate on key issues and challenges that should be accounted for when developing future map symbol standards for crisis management.
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André Sabino, Rui Nóbrega, Armanda Rodrigues, & Nuno Correia. (2008). Life-saver: Flood emergency simulator. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 724–733). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper proposes an agent-based simulation system for Dam Break Emergency Plan validation. The proposed system shows that integrating GIS data with an agent-based approach provides a successful simulation platform for the emergency plan validation process. Possible strategies to emergency plan modeling and representation are discussed, proposing a close relation with the actual workflow followed by the entities responsible for the plan's specification. The simulation model is mainly concerned with the location-based and location-motivated actions of the involved agents, describing the likely effects of a specific emergency situation response. The simulator architecture is further described, based on the correspondence between the representation of the plan, and the simulation model. This includes the involving characteristics of the simulation, the simulation engine, the description of the resulting data (for the later evaluation of the emergency plan) and a visualization and interaction component, enabling the dynamic introduction of changes in the scenario progression.
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Tim Schoenharl, Greg Madey, Gábor Szabó, & Albert-László Barabási. (2006). WIPER: A multi-agent system for emergency response. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 282–287). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: This paper describes the proposed WIPER system. WIPER is intended to provide emergency planners and responders with an integrated system that will help to detect possible emergencies, as well as to suggest and evaluate possible courses of action to deal with the emergency. The system is designed as a multi-agent system using web services and the service oriented architecture. Components of the system for detecting and mitigating emergency situations can be added and removed from the system as the need arises. WIPER is designed to evaluate potential plans of action using a series of GIS enabled Agent-Based simulations that are grounded on realtime data from cell phone network providers. The system relies on the DDDAS concept, the interactive use of partial aggregate and detailed realtime data to continuously update the system and allow emergency planners to stay updated on the situation. The interaction with the system is done using a web-based interface and is composed of several overlaid layers of information, allowing users rich detail and flexibility.
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Alexander Smirnov, Tatiana Levashova, & Nikolay Shilov. (2010). Ubiquitous computing in emergency: Profile-based situation response. 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: Ubiquitous computing opens new possibilities to various aspects of human activities. The paper proposes an approach to emergency situation response that benefits of the ubiquitous computing. The approach is based on utilizing profiles to facilitate the coordination of the activities of the emergency response operation members. The major idea behind the approach is to represent the operation members together with information sources as a network of services that can be configured via negotiation of participating parties. Such elements as profile structure, information source model and negotiation protocol are described in detail.
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Adriaan Ter Mors, Xiaoyu Mao, Nicola Roos, Cees Witteveen, & Alfons H. Salden. (2007). Multi-agent system support for scheduling aircraft de-icing. 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. 467–478). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Results from disaster research suggest that methods for coordination between individual emergency responders and organizations should recognize the independence and autonomy of these actors. These actor features are key factors in effective adaptation and improvisation of response to emergency situations which are inherently uncertain. Autonomy and adaptability are also well-known aspects of a multi-agent system (MAS). In this paper we present two MAS strategies that can effectively handle aircraft deicing incidents. These MAS strategies help improve to prevent and reduce e.g. airplane delays at deicing stations due to changing weather conditions or incidents at the station, where aircraft agents adopting pre-made plans that would act on behalf of aircraft pilots or companies, would only create havoc. Herein each agent using its own decision mechanism deliberates about the uncertainty in the problem domain and the preferences (or priorities) of the agents. Furthermore, taking both these issues into account each proposed MAS strategy outperforms a naive first-come, first-served coordination strategy. The simulation results help pilots and companies taking decisions with respect to the scheduling of the aircraft for deicing when unexpected incidents occur: they provide insights in the impacts and means for robust selection of incident-specific strategies on e.g. deicing station delays of (individual) aircraft.
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Jian Wang, Tim Yardley, Himanshu Khurana, & Liying Wang. (2010). LENS: Location-based emergency notification service. 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: University campuses and municipalities are currently spending large sums of money to acquire systems that allow dissemination of information in emergency situations. The majority of these are mass notification systems that first register multiple contacts for community residents (email, phone, pager, etc.) and then deliver information to those residents at the push of a button to leave a message. Motivated by the limitations of such approaches, in this work we explore the use of existing metropolitan network infrastructures to design a new Location-Based Emergency Notification Service (LENS). LENS selectively redirecting residents to safety information using existing communication channels (e.g., Web browsing over HTTP). LENS eliminates the need for registration, provides minimal interruption to users and involves a low-cost setup. We prototype LENS using off-the-shelf components and demonstrate efficiency and scalability for a 60,000 user campus environment.
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Connie White, Starr Roxanne Hiltz, & Murray Turoff. (2008). United we respond: One community, one voice. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 25–33). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: When emergency situations cross borders, or when newly formed groups need to work together, decision making can suffer from threat rigidity and pertinent information can be bypassed. We describe a Dynamic Delphi system under development that can create and sustain a group “voice” for an emergency response Community of Practice (CoP). We further describe its intended use for a CoP consisting of local, state and federal government responders, civilian emergency response teams (CERT), and volunteers. Community members can brainstorm, explore ideas, debate and vote iteratively to best reflect the group's opinion at any moment in time. Ongoing studies demonstrate that an online system implementing Dynamic Delphi characteristics along with Thurstone's Law of Comparative Judgment will prove conducive for building a repertoire of ideas, rules, policies or any other aspect of the community's 'voice', in such a way that the individual voices are juxtaposed in harmony to create a single song.
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Shengcheng Yuan, Yi Liu, Gangqiao Wang, Hongshen Sun, & H. Zhang. (2014). A dynamic-data-driven driving variability modeling and simulation for emergency evacuation. 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. 70–74). University Park, PA: The Pennsylvania State University.
Abstract: This paper presents a dynamic data driven approach of describing driving variability in microscopic traffic simulations for both normal and emergency situations. A four-layer DGIT (Decision, Games, Individual and Transform) framework provides the capability of describing the driving variability among different scenarios, vehicles, time and models. A four-step CCAR (Capture, Calibration, Analysis and Refactor) procedure captures the driving behaviors from mass real-time data to calibrate and analyze the driving variability. Combining the DGIT framework and the CCAR procedure, the system can carry out adaptive simulation in both normal and emergency situations, so that be able to provide more accurate prediction of traffic scenarios and help for decision-making support. A preliminary experiment is performed on a major urban road, and the results verified the feasibility and capability of providing prediction and decision-making support.
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Telmo Zarraonandia, Mario Rafael Ruíz Vargas, Paloma Díaz, & Ignacio Aedo. (2010). A game model for supporting children learning about emergency situations. 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: Despite the undeniable value of computer games as educational resources for teaching children, its actual application in educational processes is hampered due the complexity of their design and the high cost of developing them. In order to foster their adoption for emergency training, we propose a model for describing the different elements of an educational game for this domain. The model might serve to support the game designing process as well as a communication tool between educators and game designers. This way, the educator can specify the requirements of the educational experience he aims to construct, and based on that information the game designer can propose a set of possible configurations of the game elements that can help to attain the specified objectives.
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Telmo Zarraonandia, Victor A. Bañuls, Ignacio Aedo, Paloma Díaz, & Murray Turoff. (2014). A scenario-based virtual environment for supporting emergency training. 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. 597–601). University Park, PA: The Pennsylvania State University.
Abstract: Simulation exercises are particularly popular for training in emergency situations. Exercises can vary in their degree of realism, complexity and level of stress, but they all try to reproduce a scenario of a real emergency so that each participant simulates the actions carried out for the role they should play. They not only support effective and situated learning, but they can also serve to improve the plan by allowing the identification of weak points and potential drawbacks in it. To facilitate the design and implementation of 3D virtual environments in which training exercises can be conducted, in this paper we propose to use the Cross-Impact Analysis technique in combination with an educational game platform called GRE. We also present a Simulation Authoring Tool that allows the designer to carry out the integration of the knowledge captured by means of Cross-Impact into the game designs that GRE can interpret.
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