Using unstable data from mobile phone applications to examine recent trajectories of retail centre recovery



Ballantyne, P ORCID: 0000-0001-8980-2912, Singleton, A ORCID: 0000-0002-2338-2334 and Dolega, L ORCID: 0000-0002-1340-6507
(2022) Using unstable data from mobile phone applications to examine recent trajectories of retail centre recovery Urban Informatics, 1 (1). 21-. ISSN 2731-6963, 2731-6963

[thumbnail of Urban Informatics paper.pdf] PDF
Urban Informatics paper.pdf - Published version

Download (5MB) | Preview

Abstract

The COVID-19 pandemic has changed the ways in which we shop, with significant impacts on retail and consumption spaces. Yet, empirical evidence of these impacts, specifically at the national level, or focusing on latter periods of the pandemic remain notably absent. Using a large spatio-temporal mobility dataset, which exhibits significant temporal instability, we explore the recovery of retail centres from summer 2021 to 2022, considering in particular how these responses are determined by the functional and structural characteristics of retail centres and their regional geography. Our findings provide important empirical evidence of the multidimensionality of retail centre recovery, highlighting in particular the importance of composition, e-resilience and catchment deprivation in determining such trajectories, and identifying key retail centre functions and regions that appear to be recovering faster than others. In addition, we present a use case for mobility data that exhibits temporal stability, highlighting the benefits of viewing mobility data as a series of snapshots rather than a complete time series. It is our view that such data, when controlling for temporal stability, can provide a useful way to monitor the economic performance of retail centres over time, providing evidence that can inform policy decisions, and support interventions to both acute and longer-term issues in the retail sector.

Item Type: Article
Uncontrolled Keywords: COVID-19, Mobility data, Recovery, Retail Centre
Divisions: Faculty of Science & Engineering > School of Environmental Sciences
Depositing User: Symplectic Admin
Date Deposited: 11 Jan 2023 14:32
Last Modified: 01 Jul 2026 10:50
DOI: 10.1007/s44212-022-00022-0
Related Websites:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3166999
Disclaimer: The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate.