UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Human Group Behaviour in Cities: An Analysis Using Smart Card Data

Zhang, Yongping; (2020) Human Group Behaviour in Cities: An Analysis Using Smart Card Data. Doctoral thesis (Ph.D), UCL (University College London). Green open access

[thumbnail of Thesis-Yongping.pdf]
Preview
Text
Thesis-Yongping.pdf - Accepted Version

Download (124MB) | Preview

Abstract

Human group behaviour is distinctly different from individual behaviour, mainly because persons performing group behaviour are socially tied and require necessary spatiotemporal proximity. However, most existing studies assume persons travel or conduct activities independently and this limits our understanding of human group behaviour. The thesis provides a comprehensive analysis of human group behaviour using three cities, Shanghai (China), London (the UK) and Changsha (China), as case studies, based on various methods (e.g., the proposed spatiotemporal co-existence based framework), and with various data sources (e.g., smart card data). Analytical results show that human group behaviour varies greatly in time and space, and shows different characteristics for different populations and in different urban contexts. For metro users in Shanghai, they are more likely to conduct group behaviour during weekends and on holidays, and in the afternoons and evenings. They are also more likely to perform group behaviour near stations located in the city centre of Shanghai or the sub-centres in suburban areas, and be close to attractions, commercial streets and public facilities. For international postgraduates in London and undergraduates in Changsha, they generally show different temporal patterns, namely, they are more likely to conduct group behaviour during commuting or eating peak times, and are less likely to conduct group behaviour during weekends. The proposed comprehensive indicator and the data mining based approaches have the potential to infer group members from spatiotemporal co-existences. The analysis helps us better understand group behaviour in cities. It further has many potential applications, such as supporting the design and implementation of group ticket policy, the study of social networks and public events, and the public space design.

Type: Thesis (Doctoral)
Qualification: Ph.D
Title: Human Group Behaviour in Cities: An Analysis Using Smart Card Data
Event: UCL (University College London)
Open access status: An open access version is available from UCL Discovery
Language: English
Additional information: Copyright © The Author 2020. Original content in this thesis is licensed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) Licence (https://creativecommons.org/licenses/by/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. Access may initially be restricted at the author’s request.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
URI: https://discovery.ucl.ac.uk/id/eprint/10109433
Downloads since deposit
33Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item