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Arif Cagdas Aydinoglu, Elif Demir, & Serpil Ates. (2011). Designing a harmonized geo-data model for Disaster 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: There are problems for managing and sharing geo-data effectively in Turkey. The key to resolving these problems is to develop a harmonized geo-data model. General features of this model are based on ISO/TC211 standards, INSPIRE Data Specifications, and expectations of Turkey National GIS actions. The generic conceptual model components were defined to harmonize geo-data and to produce data specifications. In order to enable semantic interoperability, application schemas were designed for data themes such as administrative unit, address, cadastre/building, hydrographic, topography, geodesy, transportation, and land cover/use. The model, as base and the domain geo-data model, is a starting point to create sector models in different thematic areas. Disaster Management Geo-data Model model was developed as an extension of base geo-data model to manage geo-data collaborate on disaster management activities. This model includes existing geo-data special for disaster management activities and dynamic data collecting during disaster.
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Narjès Bellamine-Ben Saoud, Julie Dugdale, Bernard Pavard, Mohamed Ben Ahmed, Tarek Ben Mna, & Néjia Ben Touati. (2004). Towards planning for emergency activities in large-scale accidents: An interactive and generic agent-based simulator. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management (pp. 173–177). Brussels: Royal Flemish Academy of Belgium.
Abstract: In this paper we describe the design and development of an interactive and generic agent based simulator, providing valuable support for organizing the emergency rescue plans of a large-scale accident. Analysis of real rescue activities has been conducted in collaboration with medical experts in order to understand the collaborative process and the involved actors and features. Based on the emergency analysis, an agent-based model and simulator was constructed including (1) the autonomous Agents – representing victims with evolving illness and rescuers (doctors, nurses, fireman) collaborating to rescue the first ones; (2) the Environment -representing the accident site having obstacles and dangerous areas and where the victims are initially spread and the doctors move to explore -perceive – treat and helpers evacuate; (3) the Interactions between rescuers – exploring collectively, evacuating by pairs, communicating directly or via artefacts- (4) the Organization of actors as distributed “independent” sub-teams in various site sub-zones or as a centralized whole team conducted by the rescue chief; and (5) the User interfaces allowing mainly initial configuration of the simulations (e.g. number of victims and states, followed strategies, rescuers behaviours), continuous visual control of the process of rescuing (e.g. site overview with acting-interacting agents, graphics, text descriptions), dynamic changes of parameters of an on-going simulation (e.g. adding new victims, adding new rescuers, or adding dangerous zones or new obstacles on sites) as well as step-by-step simulation. This simulation shows that it is possible to create a virtual environment with cooperating agents interacting in a dynamic environment. On-line and off-line analysis of simulation traces and results enable us first understanding complex situations in rescuing activities in large-scale accidents, and than planning for responding to crisis situation. This simulation approach is useful for identifying the best scenarios and eliminating potential catastrophic combinations of parameters and values, where rescue performance could be significantly impacted. © Proceedings ISCRAM 2004.
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Stella Moehrle. (2013). Modeling of countermeasures for large-scale disasters using high-level petri nets. 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. 284–289). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: In order to support decision-making in large-scale disasters, IT-based decision support systems provide appropriate countermeasures to respond to the event. For the implementation of measures, logical and temporal dependencies have to be considered. Furthermore, factors influencing the choice of measures should be taken into account. This paper presents a generic approach to modeling sequences of countermeasures using Highlevel Petri Nets including information about the influencing factors and endangered objects. Moreover, an approach to combining several nets is proposed, which establish new sequences for recommendation. The research is part of the development of a generic decision support system for large-scale disasters. Consequently, the focus is on modeling in a generic manner and on automatic processing.
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