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Título:	Statistical analysis of energy poverty distribution in the city of Madrid
Autor:	Martín-Consuegra, Fernando CSIC ORCID ; Frutos, Fernando de; Alonso, Carmen
Palabras clave:	Energy poverty 10% rule Urban retrofit Vulnerability
Fecha de publicación:	16-dic-2021
Editor:	DIGITAL.CSIC
Citación:	Martín-Consuegra, Fernando; Frutos, Fernando de; Alonso, Carmen; 2021; Statistical analysis of energy poverty distribution in the city of Madrid [dataset]; DIGITAL.CSIC; https://doi.org/10.20350/digitalCSIC/14137
Resumen:	The work presented here is part of the results of the thesis “Análisis de datos espaciales para la erradicación de la pobreza energética en la rehabilitación urbana: el caso de Madrid” (Spatial data analysis for the eradication of fuel poverty in urban retrofitting: the case of Madrid) (Martín-Consuegra Ávila, 2019). It proposes the conceptual development of a Spatial Data Analysis Model that can collect large amounts of information about the energy efficiency of the residential building stock. The model contains information from different databases at various scales, in order to assess the refurbishment needs of entire neighbourhoods. It gives the possibility of planning rehabilitation strategies based on energy needs reduction, taking into account the different environmental, social and economic aspects involved in the process. Two complementary tools are proposed for the data processing of the main existing bases in Spain: the cadastre and the census. These tools generate energy indicators that are used to characterize the thermal performance of buildings, neighbourhoods and cities. https://oa.upm.es/62611/
Descripción:	[Methodology applied] The methodology applied allows the localization of urban areas that are suffering from fuel poverty according to the 10% rule developed by the researcher Brenda Boardman in the 1990s. For this, we analyse average incomes per household and residential energy consumption for each urban area with Geographical Information Systems. By estimating the cost of energy services per household, the weight of the different factors influencing the energy services is uncovered: quality of construction, thermal facilities, energy sources supply and billing structure used by Spanish energy sector. These factors cause households -included in the minimum income brackets-to be at risk of energy poverty, despite of the energy efficiency of the dwelling. This means that specific public policies are needed to combat energy poverty, in order to complement energy refurbishment plans. Location of urban areas in energy poverty in the city of Madrid using the "10% rule" (Boardman, 1991). This procedure considers a household to be in energy poverty when it has to spend more than 10% of its income on energy bills. Indicator: Energy poverty (10%) This indicator identifies the census precincts in which the energy bill necessary to achieve comfort situations in the dwellings exceeds 10% of the average income. It includes accounting for the costs of heating, domestic hot water, cooling and other uses. The full detailed methodology can be found in: (Martín-Consuegra et al., 2019) http://www.eure.cl/index.php/eure/article/view/2723/1190 [File formats, file structure and file nomenclature] See document below. [Legal aspects, access and security policies] Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
URI:	http://hdl.handle.net/10261/256284
DOI:	10.20350/digitalCSIC/14137
Aparece en las colecciones:	(IETCC) Conjuntos de datos

Ficheros en este ítem:

Fichero	Descripción	Tamaño	Formato
DATASET3_EnergyPoverty.zip	Dataset	2,2 MB	Unknown	Visualizar/Abrir
File_formats_structure_nomenclature.pdf	File formats, file structure and file nomenclature	229,24 kB	Adobe PDF	Visualizar/Abrir
readme.txt		3,44 kB	Text	Visualizar/Abrir