• DocumentCode
    538854
  • Title

    Research of Evaluation Information System of Urban Land Reserve Risk Based on GIS

  • Author

    Chen, Lin ; Shenglu, Zhou ; Jing, Wang ; Jia, He ; Jingtao, Li ; Fujia, Tang

  • Author_Institution
    Sch. of Geographic & Oceanogr. Sci., Nanjing Univ., Nanjing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    16-17 Dec. 2010
  • Firstpage
    157
  • Lastpage
    160
  • Abstract
    Land reserve is an important mean for the intensive utilization and optimized allocation of land resources. But due to the influences of various uncertain factors in the operation of land reserve, there is some certain deviation between the actual return and expected return of land reserve, and this brings the possibility of sustaining losses. How to correctly evaluate and evade land reserve risks has become a hot-spot issue researched nowadays. At present, domestic related researches mainly make qualitative description of land reserve risks in the form of manual computation and drawing, there is not a quantitative research result, and the errors are relatively serious. The study integrates the spatial database of land reserve risks and the risk evaluation model base effectively in the form of information system, adopts multiple quantitative analysis methods such as mathematical modeling and fuzzy mathematics, etc. to carry out quantitative grading and prediction of various risks with the support of plentiful investigation and statistical data, and makes up the deficiency of previous researches. The result has some certain exploration and instruction meanings, and could assist with the decision making of national land department at some certain degree.
  • Keywords
    fuzzy set theory; geographic information systems; land use planning; visual databases; GIS; decision making; evaluation information system; fuzzy mathematics; land resource allocation; land resource utilization; mathematical modeling; multiple quantitative analysis; national land department; quantitative grading; risk evaluation model; spatial database; urban land reserve risk; Analytical models; Biological system modeling; Data models; Geographic Information Systems; Information systems; Planning; Spatial databases; GIS; land reserve; risk evaluation; system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9247-3
  • Type

    conf

  • DOI
    10.1109/GCIS.2010.98
  • Filename
    5708734