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Emergency Evacuation, Dynamic Transportation Models

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Encyclopedia of GIS

Synonyms

Decision support tools for emergency evacuations; Emergency evacuation models

Definition

Emergency evacuation models are computerized tools that explicitly represent the time-varying disaster trajectories, evacuation (persons or goods) traffic flows as well as change of location of evacuees. These dynamic models generally involve vehicular traffic representation at varying degrees of resolutions, ranging from a coarse macroscopic analytical flow approximation to microscopic vehicle-based traffic simulation.

The integral role that geographic information systems (GIS) plays in emergency evacuation management is in that GIS have the ability to overlay mapping data with location identifiers for specific objects and factors. In emergency evacuation applications, GIS can incorporate mapping information and organize critical model building information such as evacuee spatial distributions and socio-demographic as well as the geometric configurations of evacuation routes.

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Author information

Authors and Affiliations

  1. Department of Civil Engineering and Engineering Mechanics, University of Arizona, Tucson, AZ, USA

    Yi-Chang Chiu

  2. Department of Civil Engineering, University of Minnesota, Minneapolis, MN, USA

    Henry X. Liu

Authors
  1. Yi-Chang Chiu
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  2. Henry X. Liu
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Editor information

Editors and Affiliations

  1. Faculty of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, 55455, USA

    Shashi Shekhar (McKnight Distinguished University Professor) (McKnight Distinguished University Professor)

  2. Management Science and Information Systems Department, Rutgers Business School Newark and New Brunswick Rutgers, the State University of New Jersey, Newark, NJ, 07102, USA

    Hui Xiong (Assistant Professor) (Assistant Professor)

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© 2008 Springer-Verlag

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Chiu, YC., Liu, H. (2008). Emergency Evacuation, Dynamic Transportation Models. In: Shekhar, S., Xiong, H. (eds) Encyclopedia of GIS. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35973-1_342

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