01657036

Component

Large-scale events are becoming common in contemporary cities. There is therefore an increased need for novel methods and tools that can provide relevant stakeholders with quantitative and qualitative insights about attendees’ behaviour. In this work the authors investigate how social media can be used to provide such insights. The authors screen out a set of factors that characterize crowd behaviour, and describe a set of proxies derived from social media data. The authors characterize the crowd in two city-scales events, Sail 2015 and Kingsday 2016, analyzing several properties of their attendees, including demographics, city-role, social media posts coordinate, Point of Interest (PoI) preferences, and word use. The authors show that it is possible to characterize crowds in city-scale events using social media data, thus paving the way for new real-time applications on crowd monitoring and management for city-scale events.

This paper was sponsored by TRB committee ABJ30 Standing Committee on Urban Transportation Data and Information Systems.

18-04207

English

23p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; Maps; References; Tables

Cities; Classification; Crowds; Data mining; Demographics; Social media; Special events

Characterization

Data and Information Technology; Pedestrians and Bicyclists; Planning and Forecasting

Transportation Research Board Annual Meeting 2018 Paper #18-04207

TRIS, TRB, ATRI

Jan 8 2018 11:02AM