Energy poverty is increasingly recognised as a multidimensional chal- lenge affecting urban resilience, public health and social equity across European cities. Despite the availability of consolidated national indicators, existing mon- itoring frameworks often lack the spatial resolution required to support local decision-making and place-based policy design. This paper proposes an aggre- gated and territorially sensitive urban energy poverty index that integrates six ana- lytical drivers socio-economic, building-related, energy, climatic, urbanistic and institutional within a flexible composite indicator structure. The methodological contribution lies in the integration of high-resolution local data with official Euro- pean indicators and in the adoption of an entropy-based weighting system, which derives data-driven weights from the variability of indicators across neighbour- hoods. The methodology is applied to the Mediterranean city of Catania (Italy), revealing pronounced intra-urban disparities in energy vulnerability, with com- posite index values ranging from 0,04 in affluent central areas to 0,74 in periph- eral public housing districts. The results demonstrate that the proposed approach captures spatial patterns and dominant drivers of energy poverty that remain invis- ible in aggregated statistics, providing a robust analytical basis for targeted urban energy and social policies

A Territorial Adaptive Composite Index for Urban Energy Poverty: Local Vulnerability Drivers

Trovato, Maria Rosa;Nocera, Francesco
2026-01-01

Abstract

Energy poverty is increasingly recognised as a multidimensional chal- lenge affecting urban resilience, public health and social equity across European cities. Despite the availability of consolidated national indicators, existing mon- itoring frameworks often lack the spatial resolution required to support local decision-making and place-based policy design. This paper proposes an aggre- gated and territorially sensitive urban energy poverty index that integrates six ana- lytical drivers socio-economic, building-related, energy, climatic, urbanistic and institutional within a flexible composite indicator structure. The methodological contribution lies in the integration of high-resolution local data with official Euro- pean indicators and in the adoption of an entropy-based weighting system, which derives data-driven weights from the variability of indicators across neighbour- hoods. The methodology is applied to the Mediterranean city of Catania (Italy), revealing pronounced intra-urban disparities in energy vulnerability, with com- posite index values ranging from 0,04 in affluent central areas to 0,74 in periph- eral public housing districts. The results demonstrate that the proposed approach captures spatial patterns and dominant drivers of energy poverty that remain invis- ible in aggregated statistics, providing a robust analytical basis for targeted urban energy and social policies
2026
9783032305329
9783032305336
Energy poverty · Urban vulnerability;Composite index;Territorial drivers; Mediterranean cities; Entropy weighting
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/725109
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