Publication type
Journal Article
Series Number
Author
Publication date
May 20, 2025
Summary:
The COVID-19 pandemic has substantially increased remote and hybrid working rates, creating a large group of workers whose experiences differ from those in traditional workplace settings. While previous studies have compared remote and non-remote workers in relation to productivity, performance and well-being, less attention has been given to how their mobility patterns differ. Although researchers have suggested that the ability to work remotely affects workers’ mobilities, there remains limited empirical evidence comparing remote and non-remote workers’ mobilities. This paper presents the first study to compare the mobilities of these groups in the UK. It focuses on four types of mobility studied in relation to remote work: counterurbanisation, commuting, multi-local work and immobility. It is the first to integrate analysis of all four mobilities, offering a novel, integrated perspective on remote work and mobility. The paper examines regional differences in these mobilities across the UK, highlighting how workers’ mobility patterns vary between regions.
This study draws on data from the UK Household Longitudinal Study and employs bivariate statistical tests and regression analyses. The results show that remote workers are more likely than non-remote workers to move to rural areas, own second homes and commute longer distances. These trends are pronounced in southern English regions. Remote work risks reinforcing existing inequalities between knowledge workers and manual workers and perpetuating traditional associations between mobility and urban areas in the UK. Furthermore, while remote work may generate new economic opportunities, it may also increase demand for accessible rural housing, particularly in regions surrounding London.
Published in
Regional Studies, Regional Science
Volume and page numbers
Volume: 12 , p.472 -487
DOI
https://doi.org/10.1080/21681376.2025.2502113
ISSN
21681376
Subjects
Notes
Open Access
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
© 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group
Uses Understanding Society data (not Understanding Society - COVID-19 Study, 2020)
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