Ballantyne, Patrick and Singleton, Alex and Dolega, Les 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. ISSN 2399-8083

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Abstract

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.

Item Type:	Article
Keywords:	Retail centre; agglomeration; machine learning; classification; COVID-19;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG Faculty of Social Sciences > Sociology
Item ID:	18514
Identification Number:	https://doi.org/10.1177/23998083211040519
Depositing User:	Kevin Credit
Date Deposited:	14 May 2024 14:32
Journal or Publication Title:	Environment and Planning B: Urban Analytics and City Science
Publisher:	SAGE Publications
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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