Integrating Virtual Walkthroughs for Subjective Urban Evaluations: A Case Study of Neighbourhoods in Sheffield, England

Author:

Roychowdhury Sneha1ORCID,Mazumdar Suvodeep2ORCID,Thakker Dhavalkumar3,Checco Alessandro4,Lanfranchi Vitaveska1ORCID,Goodchild Barry5

Affiliation:

1. Department of Computer Science, University of Sheffield, Sheffield S10 2TN, UK

2. Information School, University of Sheffield, Sheffield S10 2TN, UK

3. School of Computer Science, University of Hull, Hull HU6 7RX, UK

4. Computer Science Department, University of Rome La Sapienza, 00185 Rome, Italy

5. Centre for Regional Economic and Social Research, Sheffield Hallam University, Sheffield S1 1WB, UK

Abstract

This study explores the correlation between residents’ subjective assessments of urban neighbourhoods, obtained through virtual walkthroughs, and objective measures of deprivation. Our study was set within a specific city in the United Kingdom, with neighbourhoods selected based on Indices of Multiple Deprivation (IMD). We invited residents in the UK through Prolific, a crowdsourcing platform. Employing complete case analysis, TF-IDF keyword extraction, the Kruskal–Wallis test, and Spearman’s rank-order correlation, our study examines the alignment between subjective assessments and existing deprivation measures (IMD). The results reveal a nuanced relationship, suggesting potential subjective biases influencing residents’ perceptions. Despite these complexities, the study highlights the value of virtual walkthroughs in offering a holistic overview of neighbourhoods. While acknowledging the limitations posed by subjective biases, we argue that virtual walkthroughs provide insights into residents’ experiences that potentially complement traditional objective measures of deprivation. By capturing the intricacies of residents’ perceptions, virtual walkthroughs contribute to a more comprehensive understanding of neighbourhood deprivation. This research informs future endeavours to integrate subjective assessments with objective measures for robust neighbourhood evaluations.

Funder

EPSRC Researcher in Residence project UrbanMapper

Publisher

MDPI AG

Reference56 articles.

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3. Herre, B., and Arriagada, P. (2024, February 22). The Human Development Index and Related Indices: What They Are and What We Can Learn from Them. Available online: https://ourworldindata.org/human-development-index.

4. ICOI (2024, February 22). What Is the Quality of Life Index|ICOI. Available online: https://www.icoi.org/glossary/quality-of-life-index.

5. GOV.UK (2024, February 22). English Indices of Deprivation 2019, Available online: https://www.gov.uk/government/statistics/english-indices-of-deprivation-2019.

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