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Applying Distributional Approaches to Understand Patterns of Urban Differentiation

Abstract Urban scaling analysis has introduced a new scientific paradigm to the study of cities. With it, the notions of <italic>size</italic>, <italic>heterogeneity</italic> and <italic>structure</italic> have taken a leading role. These notions are assumed to be behind the causes for why cities differ from one another, sometimes wildly. However, the mechanisms by which size, heterogeneity and structure shape the general statistical patterns that describe urban economic output are still unclear. Given the rapid rate of urbanization around the globe, we need precise and formal mathematical understandings of these matters. In this context, I perform in this dissertation probabilistic, distributional and computation... (more)
Created Date 2014
Contributor Gomez-Lievano, Andres (Author) / Lobo, José (Advisor) / Muneepeerakul, Rachata (Advisor) / Bettencourt, Luís M. A. (Committee member) / Chowell-Puente, Gerardo (Committee member) / Arizona State University (Publisher)
Subject Economics / Statistics / Physics / Economic Productivity / Population Size / Regression Analysis / Urban Diversity / Urban Heterogeneity / Urban Scaling
Type Doctoral Dissertation
Extent 181 pages
Language English
Reuse Permissions All Rights Reserved
Note Doctoral Dissertation Applied Mathematics for the Life and Social Sciences 2014
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis