• DocumentCode
    2974314
  • Title

    Land Resources Optimization Allocation Based on Smart Growth

  • Author

    Gan Qihui

  • Author_Institution
    YiDong Inst. of Agric. Sci. & Technol., Shaoguan Univ., Shaoguan, China
  • fYear
    2011
  • fDate
    12-14 Aug. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Land resources optimization allocation has great effect on optimizing the industrial structure and distributing the rational productivity. Smart growth is the theory that mainly solves the problem on uneconomical, improvident, inefficient use of land resources in extensive growth and expansion. Thus it can be seen that smart growth can provide a very good guidance to land resources optimization allocation. In view of this, the paper attempted to make a study on land resources optimization allocation based on smart growth in Tongshan, Jiangsu Province. Firstly, on the basis of penetrating analysis of the connotation of the land resources optimization allocation and smart growth, the paper constructed a theoretical framework of land resources optimization allocation based on smart growth. Then, some optioned schemes were obtained by the traditional model of Grey Multi-Goal and Dynamic Programming. Finally, the optimal scheme for land resources optimization allocation based on smart growth was selected by the grey relational analysis method.
  • Keywords
    dynamic programming; grey systems; land use planning; China; Jiangsu Province; Tongshan; dynamic programming; grey multigoal model; grey relational analysis method; industrial structure optimization; land resource optimization allocation; land resource use; rational productivity distribution; smart growth; Analytical models; Biological system modeling; Dynamic programming; Economics; Indexes; Optimization; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science (MASS), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6579-8
  • Type

    conf

  • DOI
    10.1109/ICMSS.2011.5998740
  • Filename
    5998740