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Multi-agent Evacuation Simulation Data Model with Social Considerations for Disaster Management Context

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Book cover Intelligent Systems for Crisis Management

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

Abstract

Large scale disasters often create the need for evacuating affected regions to save lives. Disaster management authorities need evacuation simulation tools to assess the efficiency of various evacuation scenarios and the impact of a variety of environmental and social factors on the evacuation process. Therefore, sound simulation models should include the relevant factors influencing the evacuation process and allow for the representation of different levels of detail, in order to support large scale evacuation simulation while also offering the option of considering factors operating at a finer level of detail, such as at the single individual level. In particular, the impact of social factors, such as interaction between agents, should be integrated into the simulation model to reflect the reality of evacuation processes. In this paper, we present a generic data model for agent-based evacuation simulation that includes the relevant social parameters identified in the emergency literature. The model is composed of three sub-models that describe the agents, their context and behaviour, the dynamic environment in which the agents evolve and the parameters of the evacuation scenario. The objective of this model is to improve the simulation so that it can be better represent reality.

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Notes

  1. 1.

    http://www.geog.uni-heidelberg.de/forschung/gis_grips.html

  2. 2.

    http://www.matsim.org/

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Author information

Authors and Affiliations

  1. Rupprecht-Karls-Universität Institute for GI-Science, Heidelberg, Germany

    Mohamed Bakillah & Alexander Zipf

  2. Department of Sociology and Social Work, University of Huelva, Huelva, Spain

    J. Andrés Domínguez

  3. Department of Geomatics Engineering, University of Calgary,    , Canada

    Steve H. L. Liang

  4. Geomatics Research Center, Laval University,  , Canada

    M. A. Mostafavi

Authors
  1. Mohamed Bakillah
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  2. J. Andrés Domínguez
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  3. Alexander Zipf
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  4. Steve H. L. Liang
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  5. M. A. Mostafavi
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Corresponding author

Correspondence to Mohamed Bakillah .

Editor information

Editors and Affiliations

  1. , GISt, OTB Research Institute for the, Delft University of Technology, Jaffalaan 9, Delft, 2628 BX, Netherlands

    Sisi Zlatanova

  2. Public safety & Health Region Kennemerla, Zijlweg 200, Haarlem, 2015 CK, Netherlands

    Rob Peters

  3. , Pervasive Systems, Computer Science, University of Twente, Hallenweg, Enschede, 7500 AE, Netherlands

    Arta Dilo

  4. , Pervasive Systems, Computer Science, University of Twente, Enschede, 7500 AE, Netherlands

    Hans Scholten

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Bakillah, M., Andrés Domínguez, J., Zipf, A., Liang, S., Mostafavi, M. (2013). Multi-agent Evacuation Simulation Data Model with Social Considerations for Disaster Management Context. In: Zlatanova, S., Peters, R., Dilo, A., Scholten, H. (eds) Intelligent Systems for Crisis Management. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33218-0_1

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