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Status: Bibliographieeintrag

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Verfasst von:Sagl, Günther [VerfasserIn]   i
 Delmelle, Eric [VerfasserIn]   i
 Delmelle, Elizabeth [VerfasserIn]   i
Titel:Mapping collective human activity in an urban environment based on mobile phone data
Verf.angabe:Guenther Sagl, Eric Delmelle and Elizabeth Delmelle
E-Jahr:2014
Jahr:26 February 2014
Umfang:14 S.
Fussnoten:Gesehen am 02.09.2020
Titel Quelle:Enthalten in: Cartography and geographic information science
Ort Quelle:Abingdon : Taylor & Francis, 1999
Jahr Quelle:2014
Band/Heft Quelle:41(2014), 3, Seite 272-285
ISSN Quelle:1545-0465
Abstract:Identifying and characterizing variations of human activity - specifically changes in intensity and similarity - in urban environments provide insights into the social component of those eminently complex systems. Using large volumes of user-generated mobile phone data, we derive mobile communication profiles that we use as a proxy for the collective human activity. In this article, geocomputational methods and geovisual analytics such as self-organizing maps (SOM) are used to explore the variations of these profiles, and its implications for collective human activity. We evaluate the merits of SOM as a cross-dimensional clustering technique and derived temporal trajectories of variations within the mobile communication profiles. The trajectories’ characteristics such as length are discussed, suggesting spatial variations in intensity and similarity in collective human activity. Trajectories are linked back to the geographic space to map the spatial and temporal variation of trajectory characteristics. Different trajectory lengths suggest that mobile phone activity is correlated with the spatial configuration of the city, and so at different times of the day. Our approach contributes to the understanding of the space-time social dynamics within urban environments.
DOI:doi:10.1080/15230406.2014.888958
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.1080/15230406.2014.888958
 DOI: https://doi.org/10.1080/15230406.2014.888958
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Erratum
 geocomputation
 geovisual analytics
 human behavior
 mobile phone
 spatiotemporal patterns
 urban dynamics
K10plus-PPN:1734494794
Verknüpfungen:→ Zeitschrift

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