Mapping multidimensional energy deprivation

Socio-spatial inequalities and policy implications in Great Britain

Datos Bibliográficos

ID7150604
AutoresMeixu Chen (0009-0006-7158-1035, University of Liverpool, autor de correspondencia), Caitlin Robinson (0000-0001-7653-359X, University of Bristol), Alex Singleton (0000-0002-2338-2334, University of Liverpool)
Año2025
Volumen121
Páginas102324
Fecha de publicación2025-10-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaComputers Environment and Urban Systems (JOURNAL)
Identificadores de la revistaISSN: 0198-9715 • E-ISSN: 1873-7587
EditorialElsevier BV (PUBLISHER)
DOI10.1016/j.compenvurbsys.2025.102324
OpenAlexW4411857376
IdiomaEN
Citas recibidas1
Referencias citadas39

This work provides a thorough Energy Deprivation Segmentation (EDS) for Great Britain, which aims to address the complex and varied aspects of energy poverty in different small regions. By proposing a reproducible analytical framework, we combine many data sources to provide a comprehensive segmentation that encompasses various dimensions such as energy efficiency, accessibility, demand and supply, housing conditions, and financial vulnerability. The results indicate notable disparities in energy deprivation based on social and spatial factors. We observed higher degrees of deprivation in the peripheral areas of major cities and suburbs in the northern regions of England, southern regions of Wales, and central regions of Scotland. The created EDS identifies six top-level Supergroups and 14 finer Groups and was validated internally and externally to confirm its robustness and applicability. This segmentation offers a more comprehensive insights into the characteristics and distribution of energy-deprived neighbourhoods than traditional measures. This research facilitates policymakers to design targeted strategies and resource allocation to combat specific vulnerabilities within communities and foster sustainable and equitable urban growth. Additionally, a practical tool is provided for monitoring and evaluating the effectiveness of policies aimed at reducing energy poverty. • Developed a multidimensional Energy Deprivation Segmentation for Great Britain. • Revealed socio-spatial inequalities in energy poverty across diverse small areas. • Identified six Supergroups and 14 Groups to aid targeted policy interventions. • Provided a data tool for monitoring and evaluating energy poverty policies

Cartography · Economic geography · Geography · Inequality · Regional science · Statistics · Energy and Environment Impacts · Energy, Environment, and Transportation Policies · Mathematics · Youth Education and Societal Dynamics