• DocumentCode
    3444366
  • Title

    Analyzing urban population´s space-time evolution and characteristics based on cell-phone location data — A case study in Shenzhen, China

  • Author

    Xianrui Xu ; Xiaojie Li ; Zhongren Peng

  • Author_Institution
    Sch. of Transp. Eng., Tongji Univ., Shanghai, China
  • fYear
    2013
  • fDate
    20-22 June 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper analyzes characteristics of population distribution and movements of the city of Shenzhen in southern China by using mobile phone position data, and visualizes the distribution and movements of population in Shenzhen. Nowadays, positioning information of calling activity records of cell phones is more and more feasible with popularity of cell phones and development of the cell network. The tremendous advantages of positioning data in massive data samples, real-time and coverage guarantee it can be a significant supplement tool to monitor population dynamics. The experimental results display a vivid visual representation of population distribution and their movements through space and time. This paper´s analytical method and results can potentially contribute to a better understanding of the surrounding city and further benefits to urban planning and management.
  • Keywords
    data visualisation; mobile handsets; radionavigation; China; Shenzhen; cell phone popularity; cell-phone location data; distribution visualization; mobile phone position data; population distribution; population dynamics monitoring; population movements; positioning information; urban planning; urban population space-time evolution; visual representation; Base stations; Cellular phones; Cities and towns; Computer architecture; Microprocessors; Sociology; Statistics; cell-phone location data; evolution of population distribution; flow peculiarity of population; urban management and planning; visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
  • Conference_Location
    Kaifeng
  • ISSN
    2161-024X
  • Type

    conf

  • DOI
    10.1109/Geoinformatics.2013.6626032
  • Filename
    6626032