Understanding COVID-lockdowns through urban management systems: a novel application of administrative data

Matthews, P., Hastings, A. and Wang, Y. (2023) Understanding COVID-lockdowns through urban management systems: a novel application of administrative data. Urban, Planning and Transport Research, 11(1), 2203217. (doi: 10.1080/21650020.2023.2203217)

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The COVID-19 pandemic led to unprecedented ‘lockdowns’ and stay-at-home orders to prevent the spread of infection. Social scientists have analysed mobility during these lockdowns to understand compliance at a population-level, and whether there were systematic barriers to compliance for certain population groups. Much of this analysis has used mobility data from private companies, gathered via smartphones. In this paper, we consider an unexplored source of such data – urban management administrative data – and demonstrate its usefulness for understanding mobility, and what these patterns might reveal about socio-spatial inequality and local economic activity and suggest greater imagination when analysing such data.

Item Type:Articles
Additional Information:The work was supported by the Economic and Social Research Council [ES/L011921/1, ES/S007105/1]
Glasgow Author(s) Enlighten ID:Hastings, Professor Annette and Wang, Dr Yang
Authors: Matthews, P., Hastings, A., and Wang, Y.
College/School:College of Social Sciences > School of Social and Political Sciences > Urban Studies
Journal Name:Urban, Planning and Transport Research
Publisher:Taylor and Francis
ISSN (Online):2165-0020
Published Online:25 April 2023
Copyright Holders:Copyright © 2023 The Authors
First Published:First published in Urban, Planning and Transport Research 11(1):2203217
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
190698Urban Big Data Research CentreNick BaileyEconomic and Social Research Council (ESRC)ES/L011921/1S&PS - Urban Big Data
304042UBDC Centre TransitionNick BaileyEconomic and Social Research Council (ESRC)ES/S007105/1S&PS - Administration