• DocumentCode
    1998365
  • Title

    Quantitative assessment of urban human activity intensity based on GIS-A case study of the Pearl River Delta

  • Author

    Gao, Zhenji ; Wu, Chunli

  • Author_Institution
    Chinese Res. Acad. of Environ. Sci., Beijing, China
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Quantitative assessment of human activity intensity was a prerequisite for analyzing impacts of human activity on ecosystem as well as assessing the evolution of ecological environment. A model is built based on GIS in this paper to construct a quantitative evaluation framework of human activity intensity. Firstly, 13 human activities indices such as GDP per capita, total industrial output value, annual electricity consumption, population density, the number of business units were selected and a set of human activity index system referring to economic, humanistic, social aspects was established. Then, the Analytical Hierarchy Process method was employed to determine the weights of each human activity indicator. Finally, based on the spatial analysis function of GIS, human activity intensity of the Pear River Delta was exemplified. The human activity intensity of nine cities in the Pearl River Delta was calculated in 1990, 1995, 2000 and 2005. The results indicated that human activity intensity of the Pearl River Delta increase gradually temporally whereas decreased from east to west spatially.
  • Keywords
    ecology; geographic information systems; social sciences computing; GIS; Pearl River delta; analytical hierarchy process; ecological environment; ecosystem; quantitative assessment; spatial analysis function; urban human activity intensity; Bismuth; Economic indicators; Educational institutions; Humans; Indexes; Rivers; Pearl River Detla; analytical hierarchy process; human activity intensity; spatial overlay analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2010 18th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-7301-4
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2010.5567819
  • Filename
    5567819