• DocumentCode
    2711792
  • Title

    Locaiton of public service facilities based on inversion calculation of floor area ratio

  • Author

    Chen, Jieping ; Kong, Xianjuan ; Li, Gongli ; Li, Yufei

  • Author_Institution
    Inf. Eng. Dept., China Univ. of Geosci., Beijing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The location of the public service facilities is very important in urban planning. There are two methods of public service facilities location, grid analysis and vector analysis. The combination of these two methods can accurate the location result to a parcel. However, the public service facilities need a certain area of land, and location results of different kinds of public service facilities may converge to the same parcel. Both these two cases may result in high construction intensity in some regions, which may exceed FAR (Floor Area Ratio) value in urban planning. Therefore, an improved method based on FAR inversion calculation model is proposed in this paper. The location result must be verified by the new model in different planning class, such as parcel, unit. Finally, the location of primary school of Huanghua city is taken as an instance to verify the effectiveness of inverse calculation of floor area ration model.
  • Keywords
    facility location; geographic information systems; public administration; town and country planning; GIS; floor area ratio inversion calculation model; grid analysis; primary school; public service facilities location; urban planning; vector analysis; Algorithm design and analysis; Analytical models; Educational institutions; Floors; Geographic Information Systems; Planning; Urban planning; Floor Area Ratio (FAR); Geographic Information System (GIS); public service facilities; urban planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5981025
  • Filename
    5981025