A framework for delineating the scale, extent and characteristics of American retail centre agglomerations



Ballantyne, Patrick, Singleton, Alex, Dolega, Les ORCID: 0000-0002-1340-6507 and Credit, Kevin
(2022) A framework for delineating the scale, extent and characteristics of American retail centre agglomerations. ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE, 49 (3). pp. 1112-1128.

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Abstract

<jats:p>Retail centres are important tools for understanding the distribution and evolution of the retail sector at varying geographical scales. This paper presents a framework through which formal definitions and typologies of retail centres, such as those in the UK, can be extended to the US. Using Chicago as a case study and data from SafeGraph, we present a retail centre delineation method that combines Hierarchical-DBSCAN with ‘H3’, and demonstrate the usefulness of a non-hierarchical approach to retail classification. In addition, we show that the dynamicity and comprehensibility of retail centres make them an effective tool through which to better understand the impacts of COVID-19 on retail centre ‘health’, demonstrating significant scope for a comprehensive delineation of the scale, extent and characteristics of American retail centre agglomerations, providing a tool through which to monitor the evolution of American retail.</jats:p>

Item Type: Article
Uncontrolled Keywords: Retail centre, agglomeration, machine learning, classification, COVID-19
Divisions: Faculty of Science and Engineering > School of Environmental Sciences
Depositing User: Symplectic Admin
Date Deposited: 16 Jun 2022 13:37
Last Modified: 13 Nov 2023 12:39
DOI: 10.1177/23998083211040519
Open Access URL: https://doi.org/10.1177%2F23998083211040519
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3156588

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