• DocumentCode
    3772005
  • Title

    The Application of Multiple Linear Regression Method in the Investment Estimation of Urban Bridge Engineering

  • Author

    Huang Ying

  • Author_Institution
    Sch. Of Econ. &
  • fYear
    2015
  • Firstpage
    821
  • Lastpage
    824
  • Abstract
    The construction of urban bridge engineering can not only improve the traffic situation of our country, but also can produce considerable economic and social benefits. It has the characteristics of large investment, long construction period, etc. Therefore, the accuracy of the investment estimation of the urban bridge engineering has a direct impact on its construction. In order to ensure the successful completion of the urban bridge project, we should pay more attention to the pre investment decision-making and improve the accuracy of the investment estimation. This paper analyzes the current situation of the investment estimation of the urban bridge engineering, including the establishment and the estimation method of the urban bridge engineering investment estimation. This paper expounds the basic theory of the investment estimation of the urban bridge engineering. The basic theory for the investment estimation of the urban bridge engineering includes the content and formation for the establishment of the investment estimate. Based on the multiple linear regression method, the corresponding index system is determined, and the model of the multiple linear regression analysis is established. The result of the research can provide reference for the government department to carry out the investment decision of the urban bridge engineering, so as to carry out the whole process management of the project cost.
  • Keywords
    "Investment","Estimation","Bridges","Indexes","Urban areas","Decision making"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Engineering Applications (ISDEA), 2015 Sixth International Conference on
  • Type

    conf

  • DOI
    10.1109/ISDEA.2015.207
  • Filename
    7462744