• DocumentCode
    495469
  • Title

    The Study of Hyper-graph Urban Spatio-temporal Expansion Model Based on Features

  • Author

    Jing, Luo ; Anrong, Dang ; Qizhi, Mao

  • Author_Institution
    Sch. of Archit., Tsinghua Univ., Beijing, China
  • Volume
    3
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    741
  • Lastpage
    746
  • Abstract
    For the sake of realizing the demand of dynamic analysis of change of urban patio-temporal expansion, forecasting of expansion trend and the development of urban patio-temporal expansion model, this paper carry through from four aspects: detailed analyzed the mechanism and rule of change of urban patio-temporal expansion, abstracted important factors that affect urban spatio-temporal expansion features, assigned appropriate weight value to these factors and constructed their relations, then adopted hyper-graph theory to express and describe these factors and their relations, and ultimately constructed hyper-graph urban patio-temporal expansion model based on features. The case study taking statistic data of Beijing city from 1984 to 2005 as study base, the experimental result shows that this model has better reference value in urban expansion of study and forecasting, and provides effective reference basis for administrative department, also provides useful reference for other cities.
  • Keywords
    geographic information systems; graph theory; town and country planning; Beijing city; GIS; dynamic change analysis; geographic information system; hyper-graph theory; urban spatio-temporal expansion model; Cities and towns; Computer architecture; Computer science; Demand forecasting; Economic forecasting; Information analysis; Predictive models; Space technology; Statistics; Urban planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.628
  • Filename
    5170940