• DocumentCode
    653256
  • Title

    Inferring Barriers of Urban City Using Mobile Phone Record

  • Author

    Feng Xiang ; Lai Tu ; Benxiong Huang

  • Author_Institution
    EI Dept., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2013
  • fDate
    20-23 Aug. 2013
  • Firstpage
    850
  • Lastpage
    855
  • Abstract
    The ubiquitous mobile technology has enabled the sense of massive information of the mega population in urban areas through an efficient way. Deep analysis of huge CDR (Call Detail Record) data can help to uncover the pattern and nature of the human mobility or city dynamics. In this paper, we conduct our experiments with trajectories of millions of mobile phone subscribers. Through the exploration of the spatial pattern of caller, we study the call flow between two consecutive places where the phone call event happens and discover calling habits in most phone users. The result of our experiment reveals that the barriers or gaps of mobile communication do exist in urban city and it fits well with the landscape. It is shown that mobile call record can support and complement a wide range of studies from urban planning to traffic management.
  • Keywords
    data analysis; mobile computing; town and country planning; CDR data analysis; call detail record; calling habits discovery; city dynamics; human mobility; mobile communication; phone call event; traffic management; ubiquitous mobile technology; urban city; urban planning; Base stations; Cities and towns; Data mining; Mobile communication; Mobile handsets; Symmetric matrices; Trajectory; CDR; Dynamic City; Human Mobility;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/GreenCom-iThings-CPSCom.2013.149
  • Filename
    6682163