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

Research output: ThesisDissertation (TU Delft)

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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.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Delft University of Technology
  • Hoogendoorn, S.P., Supervisor
  • Daamen, W., Supervisor
  • Bozzon, A., Advisor
Award date21 Sep 2020
Print ISBNs978-90-5584-270-4
Publication statusPublished - 2020

Bibliographical note

TRAIL Thesis Series no. T2020/14, the Netherlands Research School TRAIL


  • Social media
  • crowd management
  • Data analysis

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