Using Social Media to Characterise Crowds in City Events for Crowd Management

Doctoral thesis (2020)

Authors

X. Gong Transport and Planning - CEG
Research Group
Transport and Planning (CEG) (TU Delft)
Copyright: © 2020 X. Gong
DOI: https://doi.org/10.4233/uuid:e13606bc-e466-44c6-8a98-dd89aac8fdc4
More Info
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Published Date

2020

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Transport and Planning

Research Group

Transport and Planning

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.