• DocumentCode
    498778
  • Title

    Application of improved AHP in the evaluation of urban-rural conjunctive passenger transportation influencing factors

  • Author

    Guo, Bao-zhen ; Zhang, Xin-rui

  • Author_Institution
    Manage. Eng. Dept., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
  • Volume
    5
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    2499
  • Lastpage
    2503
  • Abstract
    Based on the principle of analytical hierarchy process (AHP) and the characteristics of urban-rural conjunctive passenger transportation system, a improved AHP model is established in this paper selecting evaluating indexes from the angles of meeting the passengers transportation needs and the sustainable development of passenger transport. The new index scale is cited to construct the judgment matrix in this model, which not only makes the analysis of weight to be more reliable but also avoids the cumbersome calculation of the consistency test and the adjustment of judgment matrix repeatedly. Then single-level sequencing and hierarchy general ranking are carried on, obtaining importance sorting of influencing factors of passenger transportation. The results show that the improved AHP is a new, scientific and simple method for the sequence of important influence factors in urban-rural conjunctive passenger transportation system.
  • Keywords
    matrix algebra; sustainable development; transportation; AHP model; analytical hierarchy process; hierarchy general ranking; judgment matrix; multifactorial decision analysis method; single-level sequencing; sustainable development; urban-rural conjunctive passenger transportation system; Conference management; Cybernetics; Educational institutions; Engineering management; Machine learning; Matrix decomposition; Sorting; Technology management; Testing; Transportation; Evaluation of passengers service system; Improved analytical hierarchy process; New index scale; Urban-rural conjunctive;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212103
  • Filename
    5212103