Urban Mobility Analysis With Mobile Network Data: A Visual Analytics Approach

Urban planning and intelligent transportation management are facing key challenges in today’s ever more urbanized world. Providing the right tools to city planners is crucial to cope with these challenges. Data collected from citizens’ mobile communication can be used as the foundation for such tools. These kinds of data can facilitate various analysis tasks, such as the extraction of human movement patterns or determining the urban dynamics of a city. City planners can closely monitor such patterns based on which strategic decisions can be taken to improve a city’s infrastructure. In this paper, the authors introduce a novel visual analytics approach for pattern exploration and search in global system for mobile communications mobile networks. The authors define geospatial and matrix representations of data, which can be interactively navigated. The approach integrates data visualization with suitable data analysis algorithms, allowing to spatially and temporally compare mobile usage, identify regularities, as well as anomalies in daily mobility patterns across regions and user groups. As an extension to their visual analytics approach, the authors further introduce space-time prisms with uncertain markers to visually analyze the uncertainty of urban mobility patterns.

• Record URL:
  • https://doi.org/10.1109/TITS.2017.2727281
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Supplemental Notes:
  • Copyright © 2018, IEEE.
• Authors:
  • Senaratne, Hansi
  • Mueller, Manuel
  • Behrisch, Michael
  • Lalanne, Felipe
  • Bustos-Jiménez, Javier
  • Schneidewind, Jörn
  • Keim, Daniel
  • Schreck, Tobias
• Publication Date: 2018-5

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: pp 1537-1546
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 19
  • Issue Number: 5
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Algorithms; Data analysis; Intelligent transportation systems; Mobile communication systems; Mobility; Population movements; Spatial analysis; Urban transportation; Vehicle trajectories; Visualization
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting;

Filing Info

• Accession Number: 01671055
• Record Type: Publication
• Files: TLIB, TRIS
• Created Date: May 29 2018 5:18PM