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

X. Gong

doi:10.4233/uuid:e13606bc-e466-44c6-8a98-dd89aac8fdc4

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

X. Gong

Transport and Planning

Research output: Thesis › Dissertation (TU Delft)

26 Downloads (Pure)

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.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	Delft University of Technology
Supervisors/Advisors	Hoogendoorn, S.P., Supervisor Daamen, W., Supervisor Bozzon, A., Advisor
Award date	21 Sep 2020
Publisher	TRAIL Research School
Print ISBNs	978-90-5584-270-4
DOIs	https://doi.org/10.4233/uuid:e13606bc-e466-44c6-8a98-dd89aac8fdc4
Publication status	Published - 2020

Bibliographical note

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

Keywords

Social media
crowd management
Data analysis

Access to Document

10.4233/uuid:e13606bc-e466-44c6-8a98-dd89aac8fdc4

thesis_1st_September_2020_Xun_GongFinal published version, 2.92 MBLicence: GNU LGPL

Cite this

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