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    • 38-Issue 3
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    Bird's-Eye - Large-Scale Visual Analytics of City Dynamics using Social Location Data

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    Date
    2019
    Author
    Krueger, Robert
    Han, Qi
    Ivanov, Nikolay
    Mahtal, Sanae
    Thom, Dennis
    Pfister, Hanspeter ORCID
    Ertl, Thomas ORCID
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    Abstract
    The analysis of behavioral city dynamics, such as temporal patterns of visited places and citizens' mobility routines, is an essential task for urban and transportation planning. Social media applications such as Foursquare and Twitter provide access to large-scale and up-to-date dynamic movement data that not only help to understand the social life and pulse of a city but also to maintain and improve urban infrastructure. However, the fast growth rate of this data poses challenges for conventional methods to provide up-to-date, flexible analysis. Therefore, planning authorities barely consider it. We present a system and design study to leverage social media data that assist urban and transportation planners to achieve better monitoring and analysis of city dynamics such as visited places and mobility patterns in large metropolitan areas. We conducted a goal-and-task analysis with urban planning experts. To address these goals, we designed a system with a scalable data monitoring back-end and an interactive visual analytics interface. The monitoring component uses intelligent pre-aggregation to allow dynamic queries in near real-time. The visual analytics interface leverages unsupervised learning to reveal clusters, routines, and unusual behavior in massive data, allowing to understand patterns in time and space. We evaluated our approach based on a qualitative user study with urban planning experts which demonstrates that intuitive integration of advanced analytical tools with visual interfaces is pivotal in making behavioral city dynamics accessible to practitioners. Our interviews also revealed areas for future research.
    BibTeX
    @article {10.1111:cgf.13713,
    journal = {Computer Graphics Forum},
    title = {{Bird's-Eye - Large-Scale Visual Analytics of City Dynamics using Social Location Data}},
    author = {Krueger, Robert and Han, Qi and Ivanov, Nikolay and Mahtal, Sanae and Thom, Dennis and Pfister, Hanspeter and Ertl, Thomas},
    year = {2019},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.13713}
    }
    URI
    https://doi.org/10.1111/cgf.13713
    https://diglib.eg.org:443/handle/10.1111/cgf13713
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    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
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