Mapping energy poverty indices in urban scale: a case study of Santiago de Chile

This study assesses energy poverty in urban contexts using Santiago, Chile, as a case study. Based on a systematic literature review, 15 energy poverty indices were selected and adapted, originally developed for national contexts, to capture local and urban particularities. Using QGIS, the spatial d...

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Main Authors: Martínez-Soto, Aner (Author) , Sanhueza-Catalán, Daniel (Author) , Uribe-Vargas, Tomas (Author) , Lehmann, Rosa (Author) , Zipf, Alexander (Author) , Sierra-Varela, Leonardo (Author) , Nix, Emily (Author) , Oyarzún, Tamara (Author)
Format: Article (Journal)
Language:English
Published: September 2025
In: Energy research & social science
Year: 2025, Volume: 127, Pages: 1-18
ISSN:2214-6326
DOI:10.1016/j.erss.2025.104242
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.erss.2025.104242
Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S2214629625003238
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Author Notes:Aner Martínez-Soto, Daniel Sanhueza-Catalán, Tomas Uribe-Vargas, Rosa Lehmann, Alexander Zipf, Leonardo Sierra-Varela, Emily Nix, Tamara Oyarzún
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Summary:This study assesses energy poverty in urban contexts using Santiago, Chile, as a case study. Based on a systematic literature review, 15 energy poverty indices were selected and adapted, originally developed for national contexts, to capture local and urban particularities. Using QGIS, the spatial distribution of energy poverty in Santiago was mapped, revealing significant differences depending on the index applied. For instance, the Low Income High Cost index classifies only 3 % of the municipalities as “energy poor,” while the Energy Poverty Index identifies 55 % in this condition. The overall average classification for the entire city was 2.8 (intermediate poverty), with standard deviations ranging from 0.7 (Minimum income standard) to 1.5 (Hidden Energy Poverty and Fuel Poverty Index), highlighting disparities in the indices' ability to capture energy vulnerability. The results emphasize the need to adapt indices to specific urban contexts to avoid interpretative distortions. It is concluded that multidimensional approaches, like the Energy Poverty Index, allow for a more comprehensive assessment of energy poverty and provide a solid basis for guiding interventions that promote energy equity in highly heterogeneous urban settings.
Item Description:Online verfürbar: 29. Juli 2025
Gesehen am 30.07.2025
Physical Description:Online Resource
ISSN:2214-6326
DOI:10.1016/j.erss.2025.104242