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Spatial and social disparities in the decline of activities during the COVID-19 lockdown in Greater London

Trasberg, Terje; Cheshire, James; (2021) Spatial and social disparities in the decline of activities during the COVID-19 lockdown in Greater London. Urban Studies 10.1177/00420980211040409. (In press). Green open access

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Abstract

We use data on human mobility obtained from mobile applications to explore the activity patterns in the neighbourhoods of Greater London as they emerged from the first wave of COVID-19 lockdown restrictions during summer 2020 and analyse how the lockdown guidelines have exposed the socio-spatial fragmentation between urban communities. The location data are spatially aggregated to 1 km2 grids and cross-checked against publicly available mobility metrics (e.g. Google COVID-19 Community Report, Apple Mobility Trends Report). They are then linked to geodemographic classifications to compare the average decline of activities in the areas with different sociodemographic characteristics. We found that the activities in the deprived areas dominated by minority groups declined less compared to the Greater London average, leaving those communities more exposed to the virus. Meanwhile, the activity levels declined more in affluent areas dominated by white-collar jobs. Furthermore, due to the closure of non-essential stores, activities declined more in premium shopping destinations and less in suburban high streets.

Type: Article
Title: Spatial and social disparities in the decline of activities during the COVID-19 lockdown in Greater London
Open access status: An open access version is available from UCL Discovery
DOI: 10.1177/00420980211040409
Publisher version: https://doi.org/10.1177/00420980211040409
Language: English
Additional information: © Urban Studies Journal Limited 2021. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Keywords: Science & Technology, Social Sciences, Life Sciences & Biomedicine, Environmental Studies, Urban Studies, Environmental Sciences & Ecology, COVID-19, location data, regression analysis, smartphone applications, socioeconomic inequalities, MOBILE, USERS
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Geography
URI: https://discovery.ucl.ac.uk/id/eprint/10160814
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