• DocumentCode
    3773522
  • Title

    PBikeVis: Applied Visual Analytics for Public Bicycle System

  • Author

    XiaoYing Shi;ZhenHai Yu;HaiTao Xu;Jing Chen

  • Author_Institution
    Sch. of Comput. Sci. &
  • Volume
    1
  • fYear
    2015
  • Firstpage
    490
  • Lastpage
    493
  • Abstract
    Public Bicycle System(PBS) is one part of urban public transportation, with the advantage of pollution-free and flexibility. The behavior of people renting bicycles produces a large number of rental and return data. How to make better use of these data to provide decision supporting for managers is a big challenge. This paper designs a visualization system called PBikeVis, which can help users choose interested station between massive bicycle stations quickly, look over the short-term and long-term circulation amounts of each station visually, and find the bike rental rules under different space and temporal granularity. PBikeVis allows non-expert users to explore the data characteristics of Public Bicycle System interactively, in order to understand the transit trip rules of residents and identify how busy the station is.
  • Keywords
    "Bicycles","Data visualization","Lakes","Urban areas","Image color analysis","Moon","Visual analytics"
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2015 8th International Symposium on
  • Print_ISBN
    978-1-4673-9586-1
  • Type

    conf

  • DOI
    10.1109/ISCID.2015.187
  • Filename
    7469000