• DocumentCode
    2078054
  • Title

    DEA and TOPSIS combination model for the construction scheduling of urban road projects

  • Author

    Meng, Meng ; Chun-fu Shao

  • Author_Institution
    MOE Key Lab. for Transp. Complex, Beijing Jiaotong Univ., Beijing, China
  • fYear
    2011
  • fDate
    16-18 Dec. 2011
  • Firstpage
    1937
  • Lastpage
    1940
  • Abstract
    The construction scheduling of urban road projects is a typical multiple stage and multiple attribute decision making problem. To improve the availability of the urban road planning and construction, a model with multiple stage and multiple attribute is proposed, which is based on the DEA and TOPSIS. The DEA method is used to calculate each DMU´s relative efficiency, then the TOPSIS method is used to rank the relative efficiency, and the urban road construction sequence is obtained accordingly. In this model, the advantages of the DEA´s superiority of evaluating with multiple inputs and outputs indicators and the TOPSIS´s systematicness and comprehensiveness are utilized. And the shortcoming of the DEA´s failure to rank all projects is avoided, which provides a new approach to this problem. Finally, an example is presented to illustrate the effectiveness of the proposed method.
  • Keywords
    construction; data envelopment analysis; decision making; roads; scheduling; transportation; DEA; TOPSIS; combination model; construction scheduling; multiple attribute decision making problem; multiple stage decision making problem; urban road construction; urban road planning; urban road projects; Analytical models; Computational modeling; Decision making; Indexes; Investments; Roads; DEA; TOPSIS; construction sequence; traffic engineering; urban road;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4577-1700-0
  • Type

    conf

  • DOI
    10.1109/TMEE.2011.6199593
  • Filename
    6199593