The determinants of double energy vulnerability: A geospatial analysis

Abstract This paper examines the spatial and social differences in people's lack of access to adequate energy and transport services in the UK. We respond to the need for developing a differentiated understanding of both the drivers and expressions of this ‘double energy vulnerability’ (DEV), while seeking to integrate and analyse relevant information from all four UK nations. Using a variety of statistically representative census and survey datasets, the paper develops a series of multi‐dimensional indices to map transport‐ and energy‐related injustices. This is followed by a cluster analysis to examine broad‐level geographical patterns, and a Geographically Weighted Regression (GWR) model to explore the spatial variation of vulnerabilities related to contingencies such as income, ethnicity and housing. The paper corroborates the results of previous qualitative studies, and research within selected UK nations, while revealing several unexpected territorial clusters and underpinnings of infrastructural injustice. DEV is shown to disproportionately affect coastal, highland, peripheral and rural regions, with an internal granularity that exhibits high levels of variation within urban and peri‐urban settings.

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Publication Details

Journal
Geographical Journal
Published
2024-11-28
DOI
https://doi.org/10.1111/geoj.12610
Citations
4
Primary Topic
Energy and Environment Impacts
Type
article
Field-Weighted Citation Impact
0.53

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The determinants of double energy vulnerability: A geospatial analysis

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The determinants of double energy vulnerability: A geospatial analysis

Amish Sarpotdar, Giulio Mattioli, Stefan Bouzarovski, Paul B. Mackenzie, Mari Martiskainen, Aileen Lonie
article en
4 citations

Abstract

Abstract This paper examines the spatial and social differences in people's lack of access to adequate energy and transport services in the UK. We respond to the need for developing a differentiated understanding of both the drivers and expressions of this ‘double energy vulnerability’ (DEV), while seeking to integrate and analyse relevant information from all four UK nations. Using a variety of statistically representative census and survey datasets, the paper develops a series of multi‐dimensional indices to map transport‐ and energy‐related injustices. This is followed by a cluster analysis to examine broad‐level geographical patterns, and a Geographically Weighted Regression (GWR) model to explore the spatial variation of vulnerabilities related to contingencies such as income, ethnicity and housing. The paper corroborates the results of previous qualitative studies, and research within selected UK nations, while revealing several unexpected territorial clusters and underpinnings of infrastructural injustice. DEV is shown to disproportionately affect coastal, highland, peripheral and rural regions, with an internal granularity that exhibits high levels of variation within urban and peri‐urban settings.

Geographical JournalVol. 191(1)
University of Leeds (GB), University of Ulster (GB), University of Sussex (GB), TU Dortmund University (DE), University of Manchester (GB)
Engineering and Physical Sciences Research Council
Sustainable cities and communities
Openalex Percentile: Top 41%
Energy and Environment Impacts
0.53
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