Show simple item record

dc.contributor.authorKrueger, Roberten_US
dc.contributor.authorHan, Qien_US
dc.contributor.authorIvanov, Nikolayen_US
dc.contributor.authorMahtal, Sanaeen_US
dc.contributor.authorThom, Dennisen_US
dc.contributor.authorPfister, Hanspeteren_US
dc.contributor.authorErtl, Thomasen_US
dc.contributor.editorGleicher, Michael and Viola, Ivan and Leitte, Heikeen_US
dc.description.abstractThe 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.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectcentered computing
dc.subjectGeographic visualization
dc.subjectInformation Search and Retrieval
dc.subjectInformation Filtering
dc.titleBird's-Eye - Large-Scale Visual Analytics of City Dynamics using Social Location Dataen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersGeospatial and Social Data

Files in this item


This item appears in the following Collection(s)

  • 38-Issue 3
    EuroVis 2019 - Conference Proceedings

Show simple item record