4.6 Article

Mapping Energy Poverty: How Much Impact Do Socioeconomic, Urban and Climatic Variables Have at a Territorial Scale?

期刊

LAND
卷 11, 期 9, 页码 -

出版社

MDPI
DOI: 10.3390/land11091449

关键词

energy poverty; spatial analysis; segregation; GWR

资金

  1. National Agency for Research and Development of Chile, ANID, through the FONDECYT [1201332]
  2. Centro Nacional de Excelencia para la Industria de la Madera (CENAMAD), ANID BASAL [FB210015]
  3. Centre for Sustainable Urban Development (CEDEUS), ANID/FONDAP [15110020]

向作者/读者索取更多资源

This article addresses energy poverty in the urban area of Santiago de Chile from a spatial perspective, exploring the impact of socioeconomic, urban, and climatic variables on the performance of homes. The study reveals a correlation between housing quality and vulnerability to energy poverty.
Energy poverty, considered a form of deprivation distinct from income poverty, is associated with three factors: low-income levels, high energy costs, and poor residential energy efficiency. It is necessary to study the socio-spatial distribution of energy poverty, particularly in metropolitan areas, due to persistent socioeconomic segregation and their public agenda implications, including the U.N. SDGs. A model of these characteristics can propose a spatial analysis of urban and climate implications, contributing evidence for public policy. This article aims to address energy poverty from a spatial approach extended to the urban area in Santiago de Chile through an exploratory model that estimates the impact of socioeconomic, urban, and climatic variables at a territorial scale on the performance of homes. Using a geographical weighted regression with the inside home temperature in winter as the dependent variable, the independent variables were the percentage of professionals, NDVI, annual thermal amplitude, and housing material quality. A housing quality pattern that acts as a proxy for vulnerability to energy poverty was found, repeating the distribution pattern of the different socioeconomic sectors. The findings incorporate a new interpretive matrix into the complex reproduction of segregation and inequality in a capital city from a developing country.

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