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Spatial dynamics of long-term urban retail decline in three transatlantic cities

This paper studies the effects of the centrality, connectivity and agglomeration of retail establishments on their long-term viability in three cities in the United States, United Kingdom and The Netherlands. As retail is declining in all three markets, there is a dearth of knowledge on the spatial...

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Autores principales: Kickert, Conrad, vom Hofe, Rainer, Haas, Tigran, Zhang, Wen, Mahato, Binita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476888/
https://www.ncbi.nlm.nih.gov/pubmed/32921867
http://dx.doi.org/10.1016/j.cities.2020.102918
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author Kickert, Conrad
vom Hofe, Rainer
Haas, Tigran
Zhang, Wen
Mahato, Binita
author_facet Kickert, Conrad
vom Hofe, Rainer
Haas, Tigran
Zhang, Wen
Mahato, Binita
author_sort Kickert, Conrad
collection PubMed
description This paper studies the effects of the centrality, connectivity and agglomeration of retail establishments on their long-term viability in three cities in the United States, United Kingdom and The Netherlands. As retail is declining in all three markets, there is a dearth of knowledge on the spatial patterns of this decline. This obstructs the substantiation of development decisions and public policy on urban retail retention and growth. Without knowing where stores are most at risk of closing, where can we decide to invest or divest? This paper uses a self-built dataset of store locations and store closures over the span of more than a century in the urban cores of Detroit, Michigan; Birmingham, England; and The Hague, The Netherlands. While taking different paths, all three cities have experienced significant retail decline over the past century. The probability of store closure over time is compared to the metric distance of stores to the retail center of gravity (centrality), store location along well-used streets as measured by their Choice value (connectivity), and the number of surrounding stores (agglomeration). These three comparisons are statistically analyzed using simple line regression, panel regression, and spatial autoregressive probit models. Across these models, store closure is most significantly affected by agglomeration, then by centrality, followed by connectivity. The significance of all three measures is strongest in The Hague, followed by Birmingham and Detroit – two cities that experienced large-scale urban renewal and socio-economic decline.
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spelling pubmed-74768882020-09-08 Spatial dynamics of long-term urban retail decline in three transatlantic cities Kickert, Conrad vom Hofe, Rainer Haas, Tigran Zhang, Wen Mahato, Binita Cities Article This paper studies the effects of the centrality, connectivity and agglomeration of retail establishments on their long-term viability in three cities in the United States, United Kingdom and The Netherlands. As retail is declining in all three markets, there is a dearth of knowledge on the spatial patterns of this decline. This obstructs the substantiation of development decisions and public policy on urban retail retention and growth. Without knowing where stores are most at risk of closing, where can we decide to invest or divest? This paper uses a self-built dataset of store locations and store closures over the span of more than a century in the urban cores of Detroit, Michigan; Birmingham, England; and The Hague, The Netherlands. While taking different paths, all three cities have experienced significant retail decline over the past century. The probability of store closure over time is compared to the metric distance of stores to the retail center of gravity (centrality), store location along well-used streets as measured by their Choice value (connectivity), and the number of surrounding stores (agglomeration). These three comparisons are statistically analyzed using simple line regression, panel regression, and spatial autoregressive probit models. Across these models, store closure is most significantly affected by agglomeration, then by centrality, followed by connectivity. The significance of all three measures is strongest in The Hague, followed by Birmingham and Detroit – two cities that experienced large-scale urban renewal and socio-economic decline. Elsevier Ltd. 2020-12 2020-09-08 /pmc/articles/PMC7476888/ /pubmed/32921867 http://dx.doi.org/10.1016/j.cities.2020.102918 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Kickert, Conrad
vom Hofe, Rainer
Haas, Tigran
Zhang, Wen
Mahato, Binita
Spatial dynamics of long-term urban retail decline in three transatlantic cities
title Spatial dynamics of long-term urban retail decline in three transatlantic cities
title_full Spatial dynamics of long-term urban retail decline in three transatlantic cities
title_fullStr Spatial dynamics of long-term urban retail decline in three transatlantic cities
title_full_unstemmed Spatial dynamics of long-term urban retail decline in three transatlantic cities
title_short Spatial dynamics of long-term urban retail decline in three transatlantic cities
title_sort spatial dynamics of long-term urban retail decline in three transatlantic cities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476888/
https://www.ncbi.nlm.nih.gov/pubmed/32921867
http://dx.doi.org/10.1016/j.cities.2020.102918
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