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
Link To Document