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Urban dynamics
Urban studies
Social media
A statistical approach for studying urban human dynamics
[Castelló]:
Universitat Jaume I,
2019
Accés lliure
http://hdl.handle.net/10803/666680
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Santa Guzmán, Luis Fernando,
autor
Programa de Doctorat en Geoinformàtica,
degree
1 recurs en línia (102 pàgines)
Tesi
Doctorat
Universitat Jaume I. Escola de Doctorat
2018
Universitat Jaume I. Escola de Doctorat
Tesis i dissertacions electròniques
Henriques, Roberto,
supervisor acadèmic
Torres-Sospedra, Joaquín,
supervisor acadèmic
Pebesma, Edzer,
supervisor acadèmic
TDX
This doctoral dissertation proposed several statistical approaches to analyse urban dynamics with aiming to provide tools for decision making processes and urban studies. It assumed that human activity and human mobility compose urban dynamics. Initially, it studied geolocated social media data and considered them as a proxy for where and when people carry out what it is defined as the human activity. It employed techniques associated with generalised linear models, functional data analysis, hierarchical clustering, and epidemic data, to explain the spatio-temporal distribution of the places where people interact with their social networks. Afterwards, to understand the mobility in urban environments, data coming from an underground railway system were used. The information was considered repeated daily measurements to capture the regularity of human behaviour. By implementing methods from functional principal components data analysis and hierarchical clustering, it was possible to describe the system and identify human mobility patterns.
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