• DocumentCode
    1964029
  • Title

    Importance evaluation of construction collapse influencing factors based on grey correlation analysis

  • Author

    Gaosheng, Yang ; Xiuyun, Li

  • Author_Institution
    Bus. Sch., Hohai Univ., Nanjing, China
  • Volume
    3
  • fYear
    2012
  • fDate
    20-21 Oct. 2012
  • Firstpage
    436
  • Lastpage
    441
  • Abstract
    In order to clarify the monitoring focus of construction collapse, the Gray Correlation Analysis method is used to sort the important degree of its influencing factors. Firstly, the construction collapse accidents happened between 2006 and 2010 are selected as the sample data, and then this paper screens out 18 kinds of influencing factors through the split-merge-removed method from human factors, management factors, materials and equipment, external soft environment and external natural environment, all of which will induce construction collapse accident. Secondly, based on the frequency statistics of influencing factors a multidimensional data model is established. At last, this paper makes the Gray Correlation Analysis and evaluates the importance level according to the results of gray correlation grade, so as to identify the key points preventing accidents, and it is also benefit for making targeted control programs and clearing the main responsibility of all relevant subjects.
  • Keywords
    accident prevention; construction industry; correlation theory; grey systems; human factors; industrial accidents; China; construction collapse accidents; construction collapse influencing factors; construction industry; external natural environment; external soft environment; frequency statistics; gray correlation grade; grey correlation analysis method; human factors; management factors; materials-and-equipment; monitoring focus clarification; multidimensional data model; rapid economic development; split-merge-removed method; Cause effect analysis; Geology; Human factors; Humans; Nickel; Safety; Silicon; Grey Correlation Analysis; collapse accident; importance evaluation; influencing factor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering (ICIII), 2012 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4673-1932-4
  • Type

    conf

  • DOI
    10.1109/ICIII.2012.6340011
  • Filename
    6340011