• DocumentCode
    175759
  • Title

    Research of urban green space distribution based on convex programming model

  • Author

    Yue Xiao-ning ; Wu Meng-xiang ; Ding Yue

  • Author_Institution
    Coll. of Normal, Shenyang Univ., Shenyang, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    1111
  • Lastpage
    1116
  • Abstract
    The product diffusion theory and the optimization theory are introduced to research the quantification of the livable index satisfaction for green coverage of urban and performed the quantitative analysis on the rationality of distribution. Using the statistical curve regression theory and mathematical statistics software SPSS, the utility function of livable index satisfaction for green coverage of urban is analyzed with using the curve of Logistic regression. In which urban residents are regarded as the subject, a convex programming model for green coverage ratio of urban is established, and the existence condition for the optimal solution of convex programming is proposed. In the meantime, the optimum distributions of green coverage are discussed. Some references for the theory and practice of livable urban are provided by the results of the study.
  • Keywords
    convex programming; environmental factors; regression analysis; town and country planning; convex programming model; distribution rationality; green coverage ratio; livable index satisfaction quantification; logistic regression curve; mathematical statistics software SPSS; optimal solution; optimization theory; optimum distributions; product diffusion theory; quantitative analysis; statistical curve regression theory; urban green space distribution; urban residents; utility function; Cities and towns; Green products; Indexes; Logistics; Planning; Quadratic programming; Sociology; Convex Programming; Green Coverage; Livable City; Logistic Curve; Utility Function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852331
  • Filename
    6852331