• DocumentCode
    910625
  • Title

    Modeling Property Value Loss in a City Due to Terrorist Bombings

  • Author

    Stoltz, E.M. ; Clutter, J. Keith ; Hudson, Fred

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Texas at San Antonio, San Antonio, TX
  • Volume
    3
  • Issue
    2
  • fYear
    2009
  • fDate
    6/1/2009 12:00:00 AM
  • Firstpage
    221
  • Lastpage
    230
  • Abstract
    This paper presents a systems approach to determining the economic loss due to property damage resulting from a terrorist bombing in an American city. San Antonio, TX, is used as an example, but aspects of interest are the same as other cities (e.g. New York, Madrid, London). Existing data found in county property appraisal databases is used to produce a value map of the downtown portion of the city. A geometric representation of the city is used along with computational fluid dynamic (CFD) technology to simulate various bombing events and provide blast loadings on the various buildings. The results from the simulations are combined with damage criteria, which allows for estimations of the property damage and resulting loss. The results pinpoint locations where the loss is maximized due to a combination of the property value and the blast profiles, which are driven by the specific urban layout. Further work is suggested where principle components, such as Euclidian distance define the bulk of the causative factors.
  • Keywords
    computational fluid dynamics; government data processing; socio-economic effects; terrorism; blast profiles; computational fluid dynamic; county property appraisal database; damage criteria; economic loss; geometric representation; property damage; property value loss; terrorist bombing; Appraisal; Cities and towns; Computational fluid dynamics; Computational modeling; Discrete event simulation; Internet; Security; Solid modeling; Spatial databases; Terrorism; Computational fluid dynamics; Euclidian distance; estimation; modeling; property loss; terrorist bombing;
  • fLanguage
    English
  • Journal_Title
    Systems Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1932-8184
  • Type

    jour

  • DOI
    10.1109/JSYST.2009.2019149
  • Filename
    4967926