• DocumentCode
    2118934
  • Title

    Selection of Residential Land Based on Integration of MCDA and Gravity Model

  • Author

    Dou, Kaili ; Zhan, Qingming ; Li, Shiguo

  • Author_Institution
    Res. Center for Digital City, Wuhan Univ., Wuhan, China
  • fYear
    2009
  • fDate
    20-22 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Multi-criteria decision analysis (MCDA) is a decision-making method based on multi-criteria, which considers the influences of multi-criteria on the demanding objectives. It helps decision makers sorting viable scenarios and selecting the most appropriate scenario. In residential land selection process, MCDA is applied to analyze the influences of natural and ecological factors on the suitability of residential land. And the gravity model is used to analyze the accessibility by modeling the accessibility potential surface in GIS. The data used include spatial data (road network, district and street boundaries etc.), physical condition data, ecological and environmental data, public facility data, and environment condition data such as noise, air pollution. The detailed method is introduced in this paper as well as a case study of using the proposed method in Wuchang district, Wuhan, China. The testing results show the effectiveness of the proposed quantitative analysis method in urban planning.
  • Keywords
    decision making; operations research; town and country planning; decision-making method; gravity model; multi-criteria decision analysis; quantitative analysis method; residential land selection; urban planning; Air pollution; Biological system modeling; Decision making; Geographic Information Systems; Gravity; Roads; Sorting; Surface contamination; Testing; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science, 2009. MASS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4638-4
  • Electronic_ISBN
    978-1-4244-4639-1
  • Type

    conf

  • DOI
    10.1109/ICMSS.2009.5302756
  • Filename
    5302756