Print Email Facebook Twitter Using Social Media to Characterise Crowds in City Events for Crowd Management Title Using Social Media to Characterise Crowds in City Events for Crowd Management Author Gong, X. (TU Delft Transport and Planning) Contributor Hoogendoorn, S.P. (promotor) Daamen, W. (promotor) Bozzon, A. (copromotor) Degree granting institution Delft University of Technology Date 2020-09-21 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. Subject Social mediacrowd managementData analysis To reference this document use: https://doi.org/10.4233/uuid:e13606bc-e466-44c6-8a98-dd89aac8fdc4 Publisher TRAIL Research School ISBN 978-90-5584-270-4 Series TRAIL Thesis Series (T2020/14) Bibliographical note TRAIL Thesis Series no. T2020/14, the Netherlands Research School TRAIL Part of collection Institutional Repository Document type doctoral thesis Rights © 2020 X. Gong Files PDF thesis_1st_September_2020 ... n_Gong.pdf 3.31 MB Close viewer /islandora/object/uuid:e13606bc-e466-44c6-8a98-dd89aac8fdc4/datastream/OBJ/view