Atlas of energy poverty risk in vulnerable and inefficient neighbourhoods in Madrid [Dataset]

This dataset is part of the results of the doctoral thesis “Spatial data analysis for the eradication of fuel poverty in urban retrofitting: the case of Madrid” (Martín-Consuegra Avila, 2019).

Detalles Bibliográficos
Autor: Martín-Consuegra, Fernando
Tipo de recurso: conjunto de datos
Fecha de publicación:2025
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/411666
Acceso en línea:http://hdl.handle.net/10261/411666
Access Level:acceso abierto
Palabra clave:Energy poverty
Urban data science
Inefficient buildings
Deprived neighbourhoods
Low income housing
http://metadata.un.org/sdg/10
http://metadata.un.org/sdg/11
http://metadata.un.org/sdg/7
Ensure access to affordable, reliable, sustainable and modern energy for all
Reduce inequality within and among countries
Make cities and human settlements inclusive, safe, resilient and sustainable
energy poverty
energy efficiency
Energy policy
Housing needs
Urban areas
id ES_4c542fb5d2801a9b15f4e0b439a2dd7e
oai_identifier_str oai:digital.csic.es:10261/411666
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Atlas of energy poverty risk in vulnerable and inefficient neighbourhoods in Madrid [Dataset]
Atlas del riesgo de pobreza energética en barrios vulnerables e ineficientes de Madrid [Dataset]
title Atlas of energy poverty risk in vulnerable and inefficient neighbourhoods in Madrid [Dataset]
spellingShingle Atlas of energy poverty risk in vulnerable and inefficient neighbourhoods in Madrid [Dataset]
Martín-Consuegra, Fernando
Energy poverty
Urban data science
Inefficient buildings
Deprived neighbourhoods
Low income housing
http://metadata.un.org/sdg/10
http://metadata.un.org/sdg/11
http://metadata.un.org/sdg/7
Ensure access to affordable, reliable, sustainable and modern energy for all
Reduce inequality within and among countries
Make cities and human settlements inclusive, safe, resilient and sustainable
energy poverty
energy efficiency
Energy policy
Housing needs
Urban areas
title_short Atlas of energy poverty risk in vulnerable and inefficient neighbourhoods in Madrid [Dataset]
title_full Atlas of energy poverty risk in vulnerable and inefficient neighbourhoods in Madrid [Dataset]
title_fullStr Atlas of energy poverty risk in vulnerable and inefficient neighbourhoods in Madrid [Dataset]
title_full_unstemmed Atlas of energy poverty risk in vulnerable and inefficient neighbourhoods in Madrid [Dataset]
title_sort Atlas of energy poverty risk in vulnerable and inefficient neighbourhoods in Madrid [Dataset]
dc.creator.none.fl_str_mv Martín-Consuegra, Fernando
author Martín-Consuegra, Fernando
author_facet Martín-Consuegra, Fernando
author_role author
dc.contributor.none.fl_str_mv Martín-Consuegra, Fernando [0000-0002-2714-6910]
Martín-Consuegra, Fernando
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Energy poverty
Urban data science
Inefficient buildings
Deprived neighbourhoods
Low income housing
http://metadata.un.org/sdg/10
http://metadata.un.org/sdg/11
http://metadata.un.org/sdg/7
Ensure access to affordable, reliable, sustainable and modern energy for all
Reduce inequality within and among countries
Make cities and human settlements inclusive, safe, resilient and sustainable
energy poverty
energy efficiency
Energy policy
Housing needs
Urban areas
topic Energy poverty
Urban data science
Inefficient buildings
Deprived neighbourhoods
Low income housing
http://metadata.un.org/sdg/10
http://metadata.un.org/sdg/11
http://metadata.un.org/sdg/7
Ensure access to affordable, reliable, sustainable and modern energy for all
Reduce inequality within and among countries
Make cities and human settlements inclusive, safe, resilient and sustainable
energy poverty
energy efficiency
Energy policy
Housing needs
Urban areas
description This dataset is part of the results of the doctoral thesis “Spatial data analysis for the eradication of fuel poverty in urban retrofitting: the case of Madrid” (Martín-Consuegra Avila, 2019).
publishDate 2025
dc.date.none.fl_str_mv 2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/dataset
http://purl.org/coar/resource_type/c_ddb1
format dataset
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/411666
url http://hdl.handle.net/10261/411666
dc.language.none.fl_str_mv Español
language_invalid_str_mv Español
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/MINECO/Programa Estatal de I+D+i Orientada a los Retos de la Sociedad/BIA-2017-83231-C2-1-R
Martín-Consuegra Avila, Fernando (2019). Spatial data analysis for the eradication of fuel poverty in urban retrofitting: the case of Madrid. Doctoral thesis. Universidad Politécnica de Madrid. https://oa.upm.es/62611/
Martín-Consuegra, Fernando; Gómez Giménez, J. M.; Frutos, Fernando de (2021). Multidimensional index of fuel poverty in deprived neighbourhoods. Case study of Madrid [dataset]. DIGITAL.CSIC. https://doi.org/10.20350/digitalCSIC/14136
Martín-Consuegra, F.; Gómez Giménez, J.M.; Alonso, C.; Córdoba Hernández, R.; Hernández Aja, A.; Oteiza, I. (2020). Multidimensional index of fuel poverty in deprived neighbourhoods. Case study of Madrid. Energy and Buildings, 224, 110205. https://doi.org/10.1016/j.enbuild.2020.110205
Instituto Nacional de Estadística (INE). Censos y estadísticas sociodemográficas utilizadas para la caracterización de barrios vulnerables. https://ine.es/dyngs/INEbase/operacion.htm?c=Estadistica_C&cid=1254736177108&menu=ultiDatos&idp=1254735572981
Dirección General del Catastro (España). Información catastral del parque edificado utilizada para la evaluación de la eficiencia energética de edificios. https://www.sedecatastro.gob.es/
application/pdf (PDF viewer)
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv DIGITAL.CSIC
publisher.none.fl_str_mv DIGITAL.CSIC
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Atlas of energy poverty risk in vulnerable and inefficient neighbourhoods in Madrid [Dataset]Atlas del riesgo de pobreza energética en barrios vulnerables e ineficientes de Madrid [Dataset]Martín-Consuegra, FernandoEnergy povertyUrban data scienceInefficient buildingsDeprived neighbourhoodsLow income housinghttp://metadata.un.org/sdg/10http://metadata.un.org/sdg/11http://metadata.un.org/sdg/7Ensure access to affordable, reliable, sustainable and modern energy for allReduce inequality within and among countriesMake cities and human settlements inclusive, safe, resilient and sustainableenergy povertyenergy efficiencyEnergy policyHousing needsUrban areasThis dataset is part of the results of the doctoral thesis “Spatial data analysis for the eradication of fuel poverty in urban retrofitting: the case of Madrid” (Martín-Consuegra Avila, 2019).Description of methods used for collection/generation of data: A methodology is proposed for the inclusion of a multidimensional fuel poverty index in the Analysis of Deprived Neighbourhoods in Spain (https://recyt.fecyt.es/index.php/CyTET/article/view/89234/64958). Fuel poverty is a cross-cutting and complex problem that needs to be approached holistically at the urban scale. The DATASET presented here identifies a series of existing vulnerable neighbourhoods from the census of 2011, located in the city of Madrid (Rodriguez-Suarez et al., 2021). From this sample, the areas that contain large amounts of energy inefficient buildings are selected. These areas are scored using a multidimensional index that assesses the risk of fuel poverty. The method proposed here crosses data from the Observatorio de la Vulnerabilidad Urbana de España (Hernandez Aja et al., 2018) with other studies carried out for the quantification of fuel poverty and its spatial distribution. Energy inefficiency in buildings is addressed as an important vector of fuel poverty. Also, a series of indicators based on its causes and consequences are analysed to compose a multidimensional index: (1) presence of elderly population, (2) high energy costs (fuel and electricity bills), (3) low household income, and (4) inappropriate heating installations. The results can be related to basic indicators of urban deprivation contained at the Catalogue of Vulnerable Neighbourhoods. The full detailed methodology can be found in https://doi.org/10.1016/j.enbuild.2020.110205 (Martin-Consuegra et al., 2020).Methods for processing the data: open source QGIS software was used to process the data and produce the atlas.Instrument- or software-specific information needed to interpret/reproduce the data, please indicate their location: Pdf viewerThe work presented 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.In this case, a catalogue of deprived neighbourhoods containing inefficient buildings in Madrid is proposed. The available information on the drivers of energy poverty is added, permitting to locate hotspots of buildings susceptible of inducing energy poverty to their occupants. This is a valuable tool for prioritizing areas for building energy renovation taking into account social issues.This dataset was developed within the framework of the project “Habita_RES. Nueva herramienta integrada de evaluación para áreas urbanas vulnerables. Hacia la autosuficiencia energética y a favor de un modelo de habitabilidad biosaludable” (BIA-2017-83231-C2-1-R), funded by MINECO under the Programa Estatal de I+D+i Orientada a los Retos de la Sociedad (2018–2021).Peer reviewedDIGITAL.CSICMartín-Consuegra, Fernando [0000-0002-2714-6910]Martín-Consuegra, FernandoConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252025info:eu-repo/semantics/datasethttp://purl.org/coar/resource_type/c_ddb1application/pdfhttp://hdl.handle.net/10261/411666reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Español#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MINECO/Programa Estatal de I+D+i Orientada a los Retos de la Sociedad/BIA-2017-83231-C2-1-RMartín-Consuegra Avila, Fernando (2019). Spatial data analysis for the eradication of fuel poverty in urban retrofitting: the case of Madrid. Doctoral thesis. Universidad Politécnica de Madrid. https://oa.upm.es/62611/Martín-Consuegra, Fernando; Gómez Giménez, J. M.; Frutos, Fernando de (2021). Multidimensional index of fuel poverty in deprived neighbourhoods. Case study of Madrid [dataset]. DIGITAL.CSIC. https://doi.org/10.20350/digitalCSIC/14136Martín-Consuegra, F.; Gómez Giménez, J.M.; Alonso, C.; Córdoba Hernández, R.; Hernández Aja, A.; Oteiza, I. (2020). Multidimensional index of fuel poverty in deprived neighbourhoods. Case study of Madrid. Energy and Buildings, 224, 110205. https://doi.org/10.1016/j.enbuild.2020.110205Instituto Nacional de Estadística (INE). Censos y estadísticas sociodemográficas utilizadas para la caracterización de barrios vulnerables. https://ine.es/dyngs/INEbase/operacion.htm?c=Estadistica_C&cid=1254736177108&menu=ultiDatos&idp=1254735572981Dirección General del Catastro (España). Información catastral del parque edificado utilizada para la evaluación de la eficiencia energética de edificios. https://www.sedecatastro.gob.es/application/pdf (PDF viewer)Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/4116662026-05-22T06:33:51Z
score 15,812429

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