Zhang, M.L. orcid.org/0000-0002-7609-7457, Piekut, A. orcid.org/0000-0002-3478-0354, Rasool, Z. et al. (3 more authors) (2024) Using residents and experts to evaluate the validity of areal wombling for detecting social boundaries: a small-scale feasibility study. PLOS ONE, 19 (8). e0305774. ISSN 1932-6203
Abstract
Several studies have explored the relationship between socially constructed neighbourhood boundaries (henceforth social boundaries) and ethnic tensions. To measure these relationships, studies have used area-level demographic data to predict the location of social boundaries and their characteristics. The most common approach uses areal wombling to locate neighbouring areas with large differences in residential characteristics. Areas with large differences (or higher boundary values) are used as a proxy for well-defined social boundaries. However, to date, the results of these predictions have never been empirically validated. This article presents results from a simple discrete choice experiment designed to test whether the areal wombling approach to boundary detection produces social boundaries that are recognisable to local residents and experts as such. We conducted a small feasibility trial with residents and experts in Rotherham, England. Our results shows that participants were more likely to recognise boundaries with higher boundary values as local community borders. We end with a discussion on the scalability of the design and suggest future improvements.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2024 Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Humans; Feasibility Studies; Female; Male; Adult; Residence Characteristics; Middle Aged; England; Young Adult; Aged |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Sheffield Methods Institute The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Urban Studies & Planning (Sheffield) The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Economics (Sheffield) |
Funding Information: | Funder Grant number NORDFORSK 95193 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 29 Aug 2024 11:26 |
Last Modified: | 29 Aug 2024 11:26 |
Status: | Published |
Publisher: | Public Library of Science (PLoS) |
Refereed: | Yes |
Identification Number: | 10.1371/journal.pone.0305774 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:216559 |