What does this research mean for the field?

Energy poverty is deeply influenced by the intersection of building characteristics and gender roles, creating distinct vulnerability profiles such as specific risks for older women living alone. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To assess multidimensional energy vulnerability by integrating a gender perspective with residential building energy performance data.

August 27, 2026BuildingsOpen Access

A Multidimensional Analysis of Energy Vulnerability and Gendered Patterns in Seville’s Residential Building Stock

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Authors

AAAntonio J. AguilarUniversidad de Granada MHMaría L. de la Hoz‐TorresUniversidad de Granada SCSusana Clavijo‐NúñezUniversidad de La Laguna

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Implication

Spatial clustering analysis uncovers distinct energy vulnerability profiles across residential census tracts, highlighting the intersection of building inefficiency and gendered household risks.

Key Points

To assess multidimensional energy vulnerability by integrating a gender perspective with residential building energy performance data.
Analyzed 530 census tracts and 58,819 energy performance certificates in Seville, Spain.
Evaluated metrics including building efficiency ratings (E-F-G), energy burden, and gendered household structures.
Utilized K-means++ unsupervised machine learning and geographic information systems (GIS) to cluster and map spatial vulnerability patterns.
Identified three distinct urban vulnerability profiles across the analyzed census tracts.
Cluster 3 demonstrated severe multidimensional vulnerability, combining low building efficiency ratings with high unemployment and substantial energy costs.
Cluster 1 revealed a distinct vulnerability profile among older women living alone despite higher average income levels.

Cite This Study

Aguilar et al. (2026) studied this question.

synapsesocial.com/papers/6a8fe9b910c91c1e926219ef https://doi.org/10.3390/buildings16173379

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August 27, 2026BuildingsOpen Access

A Multidimensional Analysis of Energy Vulnerability and Gendered Patterns in Seville’s Residential Building Stock

View Full Paper

Ask AI

Bookmark

Authors

AAAntonio J. AguilarUniversidad de Granada MHMaría L. de la Hoz‐TorresUniversidad de Granada SCSusana Clavijo‐NúñezUniversidad de La Laguna

Discussion

Member takes

Implication

Spatial clustering analysis uncovers distinct energy vulnerability profiles across residential census tracts, highlighting the intersection of building inefficiency and gendered household risks.

Key Points

To assess multidimensional energy vulnerability by integrating a gender perspective with residential building energy performance data.
Analyzed 530 census tracts and 58,819 energy performance certificates in Seville, Spain.
Evaluated metrics including building efficiency ratings (E-F-G), energy burden, and gendered household structures.
Utilized K-means++ unsupervised machine learning and geographic information systems (GIS) to cluster and map spatial vulnerability patterns.
Identified three distinct urban vulnerability profiles across the analyzed census tracts.
Cluster 3 demonstrated severe multidimensional vulnerability, combining low building efficiency ratings with high unemployment and substantial energy costs.
Cluster 1 revealed a distinct vulnerability profile among older women living alone despite higher average income levels.

Cite This Study

Aguilar et al. (2026) studied this question.

synapsesocial.com/papers/6a8fe9b910c91c1e926219ef https://doi.org/10.3390/buildings16173379

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