Multidimensional index of fuel poverty in deprived neighbourhoods. Case study of Madrid

[Methodology applied] With the objective of overcoming the limitations of previous studies based on cost and income 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/a...

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Authors: Martín-Consuegra, Fernando, Gómez Giménez, J. M., Frutos, Fernando de
Format: conjunto de datos
Publication Date:2021
Country:España
Institution:Consejo Superior de Investigaciones Científicas (CSIC)
Repository:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/256282
Online Access:http://hdl.handle.net/10261/256282
Access Level:Open access
Keyword:Fuel Poverty
Building energy efficiency
Urban deprivation
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spelling Multidimensional index of fuel poverty in deprived neighbourhoods. Case study of MadridMartín-Consuegra, FernandoGómez Giménez, J. M.Frutos, Fernando deFuel PovertyBuilding energy efficiencyUrban deprivation[Methodology applied] With the objective of overcoming the limitations of previous studies based on cost and income 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 (Rodríguez-Suárez 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” (Hernández 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 (Martín-Consuegra et al., 2020).[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).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/Peer reviewedDIGITAL.CSICMartín-Consuegra, Fernando [0000-0002-2714-6910]Frutos, Fernando de [0000-0002-6725-1096]Gómez Giménez, J. M. [0000-0003-4513-0725]Martín-Consuegra, Fernando [martin-consuegra@ietcc.csic.es]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202120212021info:eu-repo/semantics/datasethttp://purl.org/coar/resource_type/c_ddb1http://hdl.handle.net/10261/256282reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésSíinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2562822026-05-22T06:33:51Z
dc.title.none.fl_str_mv Multidimensional index of fuel poverty in deprived neighbourhoods. Case study of Madrid
title Multidimensional index of fuel poverty in deprived neighbourhoods. Case study of Madrid
spellingShingle Multidimensional index of fuel poverty in deprived neighbourhoods. Case study of Madrid
Martín-Consuegra, Fernando
Fuel Poverty
Building energy efficiency
Urban deprivation
title_short Multidimensional index of fuel poverty in deprived neighbourhoods. Case study of Madrid
title_full Multidimensional index of fuel poverty in deprived neighbourhoods. Case study of Madrid
title_fullStr Multidimensional index of fuel poverty in deprived neighbourhoods. Case study of Madrid
title_full_unstemmed Multidimensional index of fuel poverty in deprived neighbourhoods. Case study of Madrid
title_sort Multidimensional index of fuel poverty in deprived neighbourhoods. Case study of Madrid
dc.creator.none.fl_str_mv Martín-Consuegra, Fernando
Gómez Giménez, J. M.
Frutos, Fernando de
author Martín-Consuegra, Fernando
author_facet Martín-Consuegra, Fernando
Gómez Giménez, J. M.
Frutos, Fernando de
author_role author
author2 Gómez Giménez, J. M.
Frutos, Fernando de
author2_role author
author
dc.contributor.none.fl_str_mv Martín-Consuegra, Fernando [0000-0002-2714-6910]
Frutos, Fernando de [0000-0002-6725-1096]
Gómez Giménez, J. M. [0000-0003-4513-0725]
Martín-Consuegra, Fernando [martin-consuegra@ietcc.csic.es]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Fuel Poverty
Building energy efficiency
Urban deprivation
topic Fuel Poverty
Building energy efficiency
Urban deprivation
description [Methodology applied] With the objective of overcoming the limitations of previous studies based on cost and income 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 (Rodríguez-Suárez 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” (Hernández 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 (Martín-Consuegra et al., 2020).
publishDate 2021
dc.date.none.fl_str_mv 2021
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/dataset
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dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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
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