Urban activity pattern classification using topic models from online geo-location data

•Geo-location data from social media has potential for activity-travel analysis.•Identifies the limitations of geo-location data for activity-based modeling.•Adopts a data-driven approach (topic model) for activity pattern classification.•Extends the topic model to capture user-specific activity pat...

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Veröffentlicht in:	Transportation research. Part C, Emerging technologies Jg. 44; S. 363 - 381
Hauptverfasser:	Hasan, Samiul, Ukkusuri, Satish V.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier India Pvt Ltd 01.07.2014
Schlagworte:	Activity pattern classification Activity-based modeling Aggregates Big data Classification Computer simulation Diaries Digital media Human Location-based data Machine learning Social computing Social media Social networks Topic modeling Transportation Topic modeling Social computing Activity-based modeling Social media Machine learning Location-based data Big data Activity pattern classification
ISSN:	0968-090X, 1879-2359
Online-Zugang:	Volltext
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