• DocumentCode
    1664514
  • Title

    The Forecasting and Assessing Method for Urban Sustainable Development Tendency

  • Author

    Jing Ping ; Jia Hai-Feng

  • Author_Institution
    Coll. of Urban & Environ., Tianjin Normal Univ., Tianjin
  • fYear
    2008
  • Firstpage
    4346
  • Lastpage
    4349
  • Abstract
    The sustainable development of urban eco-system mainly focuses on harmony development between environment and economy, which can reveal the macro and micro development trend to server on adjusting and controlling. On the basis of selecting indicators, the GM(1,1) model was adopted to forecast the future situation of each indicator from 2003 to 2005 with the statistic data from 1998 to 2002 of Tianjin city, results´ error percent can be accepted by comparing with the statistic data. Coordinated index and coordinated development index are widely used for assessment of the regional sustainable development, by determining the assessment criteria with the level all over the world, two levels was selected to assessment sustainable development of the Tianjin city. Results show the forecasting and assessing methods for urban sustainable development tendency were very useful, the conclusion can be easily interpreted and understand.
  • Keywords
    ecology; economics; environmental factors; statistical analysis; sustainable development; AD 1998 to 2002; AD 2003 to 2005; GM(1,1) model; Tianjin city; coordinated development index; economic factors; environmental factors; regional sustainable development; urban ecosystem; urban sustainable development assessment; urban sustainable development forecasting; Cities and towns; Differential equations; Economic forecasting; Educational institutions; Error analysis; Modeling; Monitoring; Predictive models; Sustainable development; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1747-6
  • Electronic_ISBN
    978-1-4244-1748-3
  • Type

    conf

  • DOI
    10.1109/ICBBE.2008.586
  • Filename
    4535466