Inferring urban polycentricity from the variability in human mobility patterns



Cabrera-Arnau, Carmen ORCID: 0000-0002-2732-6436, Zhong, Chen, Batty, Michael, Silva, Ricardo and Kang, Soong Moon
(2023) Inferring urban polycentricity from the variability in human mobility patterns. SCIENTIFIC REPORTS, 13 (1). 5751-.

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Abstract

The polycentric city model has gained popularity in spatial planning policy, since it is believed to overcome some of the problems often present in monocentric metropolises, ranging from congestion to difficult accessibility to jobs and services. However, the concept 'polycentric city' has a fuzzy definition and as a result, the extent to which a city is polycentric cannot be easily determined. Here, we leverage the fine spatio-temporal resolution of smart travel card data to infer urban polycentricity by examining how a city departs from a well-defined monocentric model. In particular, we analyse the human movements that arise as a result of sophisticated forms of urban structure by introducing a novel probabilistic approach which captures the complexity of these human movements. We focus on London (UK) and Seoul (South Korea) as our two case studies, and we specifically find evidence that London displays a higher degree of monocentricity than Seoul, suggesting that Seoul is likely to be more polycentric than London.

Item Type: Article
Uncontrolled Keywords: Humans, Cities, Movement, City Planning, Urban Population, London, Seoul
Divisions: Faculty of Science and Engineering > School of Environmental Sciences
Depositing User: Symplectic Admin
Date Deposited: 14 May 2023 14:25
Last Modified: 12 Oct 2023 03:03
DOI: 10.1038/s41598-023-33003-7
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3170331