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From Social Sensor Data to Collective Human Behaviour Patterns – Analysing and Visualising Spatio-Temporal Dynamics in Urban Environments

The digital traces that people continuously leave behind – voluntarily or not – while using communication devices such as mobile phones or interacting with social media platforms reflect their behaviour in great detail. In this paper we show examples of the spatio-temporal patterns of collective human dynamics, which we derived from ‘social sensor’ data. We used user-generated data in mobile networks and voluntarily published information at social media platforms, which both served as proxies for human activity and mobility. Results show collective human activity and mobility hotspots in selected European urban environments and thus provide additional insights into how collective social activity shape urban systems. We used different geo-visualisation techniques to effectively communicate the urban inherent spatial and temporal dynamics. Especially for education related purposes, this allows a better general understanding of collective human behaviour in urban environments.

Autor / Author: Sagl, Günther; Resch, Bernd; Hawelka, Bartosz; Beinat, Euro
Institution / Institution: DK GIScience, University of Salzburg, Austria; University of Osnabrueck, SENSEable City Lab at MIT, Germany; DK GIScience, University of Salzburg, Austria; University of Salzburg, Centre for Geoinformatics, Austria
Seitenzahl / Pages: 10
Sprache / Language: Englisch
Veröffentlichung / Publication: GI_Forum 2012: Geovisualization, Society and Learning
Tagung / Conference: GI_Forum 2012 – Symposium and Exhibit GIScience & Technology/Learning with GI
Veranstaltungsort, -datum / Venue, Date: Salzburg, Austria 03-07-12 - 06-07-12
Schlüsselwörter (de):
Keywords (en): collective sensing, human dynamics, urban monitoring
Paper review type: Full Paper Review
DOI:
682 -