Using Social Media to Characterise Crowds in City Events for Crowd Management
V. Gong (TU Delft - Transport and Planning)
Serge P. Hoogendoorn – Promotor (TU Delft - Transport and Planning)
W. Daamen – Promotor (TU Delft - Transport and Planning)
Alessandro Bozzon – Copromotor (TU Delft - Web Information Systems, TU Delft - Human-Centred Artificial Intelligence)
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Abstract
Using social media data, such as Twitter and Instagram, I identify relevant information, develop data models, estimate and analyse crowds’ characteristics in city events, including demographic and city-role composition, Spatial-temporal distribution, sentiment estimation, Points of Interest preferences, word use, crowd size and density estimation, which help crowd managers make better decisions.