• DocumentCode
    3063055
  • Title

    Adaptability Evaluation for Road Network in Economic Circle Based on DEA and Gray Correlation Analysis

  • Author

    Fujun Yi ; Zhi Han ; Chuan Tian ; Lu Ma

  • Author_Institution
    Merchants Chongqing Commun. Res. & Design Inst. Co. Ltd., Chongqing, China
  • fYear
    2012
  • fDate
    23-26 June 2012
  • Firstpage
    471
  • Lastpage
    474
  • Abstract
    According to the analysis of the mechanism of road network construction and regional socio-economic development, a method of adaptability evaluation was proposed to assess the road network in economic circle. A new gray correlation analysis method based on DEA (Data Envelopment Analysis) was presented to evaluate the regional road network. It integrated favorable aspects of both DEA and gray correlation analysis, and took the latter as a central model. DEA determined the weight vector of correlation coefficients for each DMU (Decision Making Unit) to calculate the relatively optimal correlation degrees and then realized the priority order of the objects. This method can avoid the disadvantages of using single evaluation method, which is easily influenced by evaluation subject. Finally, an example of road network in the economic circle of Yangtze River Delta is given to prove the validity of the method effectively.
  • Keywords
    correlation methods; data envelopment analysis; roads; socio-economic effects; DEA; DMU; Decision Making Unit; Yangtze River Delta; adaptability evaluation; data envelopment analysis; economic circle; gray correlation analysis; regional road network; regional socio-economic development; road network construction; Adaptation models; Correlation; Economics; Indexes; Rivers; Roads; Adaptability Evaluation; DEA (Data Envelopment Analysis); Economic Circle; Gray Correlation Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4673-1365-0
  • Type

    conf

  • DOI
    10.1109/CSO.2012.109
  • Filename
    6274769