Unveiling urban dynamics: An exploration of tools and methods using crowd-sourced data for the study of urban space

• Main Author: López Baeza, Jesús
• Other Authors: Martí Ciriquián, Pablo
• Format: Doctoral Thesis
• Language: English
• Published: Universidad de Alicante 2020
• Subjects: Socio-spatial analysis; Big data; Geo data; Social media; Urban dynamics; Arquitectura y Tecnología de Computadores; Urbanística y Ordenación del Territorio; Sociología
• Online Access: http://hdl.handle.net/10045/108227

The following work presents several trans-disciplinary resources for understanding cities beyond just their physical form and spatial processes. The conceptualization of cities from a top-down, modern and post- modern approach to the form-function duality lacks multiple dimensions, which need to be studied in order to gain a proper understanding of how contemporary urban societies perform nowadays. Instead, this work considers settlements as a set of an infinite number of individual perceptions and experiences, which construct overlapping layers of hidden and intangible information that shape cities as complex systems. Social relations that are moving progressively to the virtual realm are becoming major factors in decision-making and location choices by citizens. This definition of a city’s hidden image is developed through the study of data retrieved from online servers. To do so, this work focuses on spatial and temporal activity patterns, values of certain places and their quantitative weight within the urban fabric, the distribution and nature of places, the observation of people’s perception of certain places through the representation of activities captured by pictures posted online, or several other theoretical and methodological approaches under the umbrella of crowd-sourced data in the city.