• DocumentCode
    2811237
  • Title

    A Quantitative Model to Describe the Crowd Massing Risk Based on FIST Model

  • Author

    Qiao Kui ; Jianfeng Li ; Bin Zhang

  • Author_Institution
    Beijing Center for Phys. & Chem. Anal., Beijing Acad. of Sci. & Technol., Beijing, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this article, based on the FIST model, it proposes four parameters to describe the crowd massing risk in public venues that are the density (D), mutual interaction between each others(I), the personnel characteristics (C) and the impact derived form environmental (E) disturbance on the massing crowd. Then, it carries out the corresponding technical analysis for the four predefined parameters. First, it uses the crowd monitoring systems to estimate the crowd density on the spot; Second, the value of crowd pressure will be obtained through the pressure measurement network which describes the mutual affects between different persons; Third, it has neglected the influence of individual differences on the crowd as a whole; Fourth, it attributes all the influence factors to an index integrated disturbance intensity, then establishes the corresponding mathematical model to quantify its intensity. Finally, it builds up the DICE model as the quantification of crowd massing risk.
  • Keywords
    mathematical analysis; monitoring; risk management; safety; FIST model; crowd massing risk; crowd monitoring systems; index integrated disturbance intensity; mathematical model; personnel characteristics; pressure measurement network; quantitative model; Chemical analysis; Chemical technology; Image storage; Mathematical model; Monitoring; Motion analysis; Personnel; Pressure measurement; Protection; Risk management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4994-1
  • Type

    conf

  • DOI
    10.1109/ICIECS.2009.5363008
  • Filename
    5363008