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Modelling Spatial Segregation: A multiscalar approach to study segregation and its relation to transport network structure

Neira Alvarez, Daniel; (2024) Modelling Spatial Segregation: A multiscalar approach to study segregation and its relation to transport network structure. Doctoral thesis (Ph.D), UCL (University College London). Green open access

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Abstract

The study of socio-spatial segregation in urban areas addresses the significant impacts of segregation driven by ethnicity, religion, and income on society, economy, and public health. Recognising limitations in existing spatial segregation measures, which often overlook scale dependencies and the role of transport networks, this study introduces two innovative methods for quantifying segregation. The first method utilises random walks on multilayered networks to quantify the effects of transport networks on segregation. This approach accounts for the complex interplay of different transport modes and their temporal dynamics, enhancing understanding of mobility’s role in shaping social interactions and segregation patterns. Applied to Cuenca, Ecuador, the study evaluates the impact of a new tram system on socio-spatial segregation. Findings indicate that without reorganising the existing bus network, the tram’s integration potential for diverse socio-economic groups is limited. The second method adopts a multiscalar approach using Jensen-Shannon divergence on hierarchical trees. This technique identifies relevant scales of analysis in socio-spatial segregation, addressing scale dependency issues in traditional measures and revealing varying segregation patterns across spatial levels. Applied nationally, the research examines segregation across Ecuador. The multiscalar method effectively identifies regions and scales where segregation is most pronounced, offering insights for urban planning and policy-making. Finally, the thesis explores machine learning’s potential in advancing the understanding of transport networks, signalling the growing importance of data-driven methods in urban studies and opening avenues for future research.

Type: Thesis (Doctoral)
Qualification: Ph.D
Title: Modelling Spatial Segregation: A multiscalar approach to study segregation and its relation to transport network structure
Open access status: An open access version is available from UCL Discovery
Language: English
Additional information: Copyright © The Author 2024. Original content in this thesis is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Licence (https://creativecommons.org/licenses/by-nc/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 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-pp.ucl.ac.uk/id/eprint/10198146
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