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A Socio-Spatial Approach to Enable Inclusive Well-Being in Cities

A Case Study of Birmingham, UK

Bibliographic Data

ID5935702
AuthorsLakshmi Priya Rajendran (0000-0002-4974-4663, Anglia Ruskin University, corresponding author), C T Boyko (0000-0001-5642-5911, Lancaster University), Claire J Coulton, Claire Coulton (Lancaster University), James Hale (0000-0002-4144-9117), James David Hale (0000-0001-9662-1853, University of Birmingham), Rachel F D Cooper (0000-0003-1503-1304, Lancaster University)
Year2020
Volume9
Issue6
Pages109
Publication date2020-06-23
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Sciences (JOURNAL)
Journal identifiersISSN: 2076-0760 • E-ISSN: 2076-0760
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/socsci9060109
OpenAlexW3037229250
LanguageEN
Citations received3
References cited30

This article examines density and deprivation, the two important parameters that define health and well-being in cities. Discussions are drawn from a case study conducted in Birmingham in four neighborhoods characterized by their different population density and deprivation levels. Data were collected through questionnaires developed from a set of subjective well-being measures and built environment audits, based on the Irvine Minnesota Inventory that evaluates the quality of streets and walkability in neighborhoods. The inferences from the study support the need for linking health, planning, policy and design research and decision-making to the socio-spatial practices of people, impacting well-being at the everyday level. The findings provide a holistic approach health and well-being research and suggests a conceptual framework for inclusive well-being in cities, which signifies the role of social and spatial parameters in determining peoples' health and well-being. The study also highlights the lack of interdisciplinary research in understanding the association between well-being and social and behavioral practices in diverse communities

Audit · Built environment · Business · Conceptual framework · Geography · Set (abstract data type · Social science · Sociology · Walkability · Well-being · Applied Psychology · Computer Science · Engineering · Health disparities and outcomes · Psychology · Urban Green Space and Health · Urban Transport and Accessibility

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Unique citing works3
Citations per year0,75
Citation span2022 - 2025 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 3

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