• DocumentCode
    2461372
  • Title

    A method for confirming compound weight in regional site selection of industrial plant

  • Author

    Zhang, Qi ; Yang, Ying

  • Author_Institution
    Coll. of Urban & Environ. Sci., Northwest Univ., Xi´´an, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    4717
  • Lastpage
    4720
  • Abstract
    The regional site selection of industrial plant (RSSIP) can hardly be done unless the comprehensive ranking of the cities and towns in the region have been determined. Thus, a new method for confirming the compound weight, with the help of which the comprehensive ranking can be more exactly confirmed, is proposed in the paper. Firstly, the objective weights of different indexes are gained through the fractal dimensions representing the rank-size relations because the rank-size distribution of cities and towns given by Zipf formula is equal to the typical fractal distribution. Secondly, the subjective weights of different indexes are gained by the priority judgment method in order to reflect individual´s value judgment, especially the planners´. Thirdly, the compound weights are calculated based on both the objective weights and subjective weights discussed above. Finally, with a case study of a RSSIP task in the region of Yulin, Shaanxi province, China, it is believed that the method for confirming the compound weight in RSSIP established in the paper is not only feasible but also exercisable.
  • Keywords
    industrial plants; town and country planning; Zipf formula; city ranking; compound weight confirmation method; comprehensive ranking; fractal dimension; industrial plant regional site selection; objective weight; priority judgment method; rank-size distribution; subjective weight; town ranking; Cities and towns; Compounds; Educational institutions; Fractals; Indexes; Industrial plants; Fractal dimension; RSSIP; case study; compound weight; priority judgment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5965368
  • Filename
    5965368