• DocumentCode
    149668
  • Title

    Capturing crowd dynamics at large scale events using participatory GPS-localization

  • Author

    Blanke, Ulf ; Troster, G. ; Franke, Tobias ; Lukowicz, Paul

  • Author_Institution
    Wearable Comput. Lab., ETH Zurich, Zürich, Switzerland
  • fYear
    2014
  • fDate
    21-24 April 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Large-scale festivals with a multitude of stages, food stands, and attractions require a complex perimeter design and program planning in order to manage the mobility of crowds as a controlled process. Errors in the planning phase can cause unexpected crowd dynamics and lead to stampedes with lethal consequences. We deployed an official app for Züri Fäscht 2013 - the largest Swiss event - over a period of three days. The app offered information about the festival and featured a background localization allowing us to collect continuously the visitor position. With 56,000 app downloads and 28,000 users contributing 25M location updates in total, we obtained a large scale dataset. By aggregation of location points complex crowd dynamics can be captured during the entire festival. In this paper we present the data collection for Züri Fäscht 2013 and best practices to acquire as many contributing users as possible for such an event. Furthermore, we show the potential of aggregated location data and visualize relevant parameters that can serve as tool for analysis and planning of program and perimeter design.
  • Keywords
    Global Positioning System; data visualisation; geographic information systems; complex perimeter design; crowd dynamics; data analysis; data visualization; large scale events; large-scale festivals; participatory GPS-localization; program planning; Data collection; Data visualization; Facebook; Global Positioning System; Lakes; Schedules;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2014 IEEE Ninth International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4799-2842-2
  • Type

    conf

  • DOI
    10.1109/ISSNIP.2014.6827652
  • Filename
    6827652