A Multi-Criteria Analysis GIS Tool for Measuring the Vulnerability of the Residential Stock Based on Multidimensional Indices

There is extensive scientific evidence showing that the characteristics of the urban and residential environment directly affect people’s quality of life and health. In this framework, numerous building renovation policies have been developed in Europe, mainly focused on improving energy efficiency....

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Main Authors: Itziar Modrego-Monforte, Mikel Barrena-Herrán, Olatz Grijalba
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Land
Subjects:
Online Access:https://www.mdpi.com/2073-445X/12/8/1551
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author Itziar Modrego-Monforte
Mikel Barrena-Herrán
Olatz Grijalba
author_facet Itziar Modrego-Monforte
Mikel Barrena-Herrán
Olatz Grijalba
author_sort Itziar Modrego-Monforte
collection DOAJ
description There is extensive scientific evidence showing that the characteristics of the urban and residential environment directly affect people’s quality of life and health. In this framework, numerous building renovation policies have been developed in Europe, mainly focused on improving energy efficiency. However, we are dealing with a multifactorial and multicausal phenomenon of a complex system where competent institutions need quantitative diagnosis mechanisms that consider this holistic vision when making decisions and prioritizing interventions. Regarding this, the present research develops the potential of the multi-criteria methodology in a first proposal, which integrates social, energy, environmental and spatial aspects linked to the relationship between housing and the effects on the health of its inhabitants. It is a multidimensional method based on systematized and exportable vulnerability indices, which applies indicators that have been calculated using cadastral data and a typomorphological characterization of the residential stock. The analysis of the results through geostatistical techniques of autocorrelation and clustering applied to the case study of Donostia-San Sebastián shows that the proposed methodology is effective in achieving the objectives set. The associated GIS tool has proved to be agile and replicable.
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spelling doaj.art-304e7156be3549b59b33bd3b848d69e72023-11-19T01:51:10ZengMDPI AGLand2073-445X2023-08-01128155110.3390/land12081551A Multi-Criteria Analysis GIS Tool for Measuring the Vulnerability of the Residential Stock Based on Multidimensional IndicesItziar Modrego-Monforte0Mikel Barrena-Herrán1Olatz Grijalba2CAVIAR (Quality of Life in Architecture) Research Group, Departament of Architecture, University of the Basque Country UPV/EHU, Plaza Oñati 2, 20018 Donostia-San Sebastián, SpainCAVIAR (Quality of Life in Architecture) Research Group, Departament of Architecture, University of the Basque Country UPV/EHU, Plaza Oñati 2, 20018 Donostia-San Sebastián, SpainCAVIAR (Quality of Life in Architecture) Research Group, Departament of Architecture, University of the Basque Country UPV/EHU, Plaza Oñati 2, 20018 Donostia-San Sebastián, SpainThere is extensive scientific evidence showing that the characteristics of the urban and residential environment directly affect people’s quality of life and health. In this framework, numerous building renovation policies have been developed in Europe, mainly focused on improving energy efficiency. However, we are dealing with a multifactorial and multicausal phenomenon of a complex system where competent institutions need quantitative diagnosis mechanisms that consider this holistic vision when making decisions and prioritizing interventions. Regarding this, the present research develops the potential of the multi-criteria methodology in a first proposal, which integrates social, energy, environmental and spatial aspects linked to the relationship between housing and the effects on the health of its inhabitants. It is a multidimensional method based on systematized and exportable vulnerability indices, which applies indicators that have been calculated using cadastral data and a typomorphological characterization of the residential stock. The analysis of the results through geostatistical techniques of autocorrelation and clustering applied to the case study of Donostia-San Sebastián shows that the proposed methodology is effective in achieving the objectives set. The associated GIS tool has proved to be agile and replicable.https://www.mdpi.com/2073-445X/12/8/1551urban regenerationhousing and healthurban healthmulti-criteria analysisvulnerability assessmentgeographic information system
spellingShingle Itziar Modrego-Monforte
Mikel Barrena-Herrán
Olatz Grijalba
A Multi-Criteria Analysis GIS Tool for Measuring the Vulnerability of the Residential Stock Based on Multidimensional Indices
Land
urban regeneration
housing and health
urban health
multi-criteria analysis
vulnerability assessment
geographic information system
title A Multi-Criteria Analysis GIS Tool for Measuring the Vulnerability of the Residential Stock Based on Multidimensional Indices
title_full A Multi-Criteria Analysis GIS Tool for Measuring the Vulnerability of the Residential Stock Based on Multidimensional Indices
title_fullStr A Multi-Criteria Analysis GIS Tool for Measuring the Vulnerability of the Residential Stock Based on Multidimensional Indices
title_full_unstemmed A Multi-Criteria Analysis GIS Tool for Measuring the Vulnerability of the Residential Stock Based on Multidimensional Indices
title_short A Multi-Criteria Analysis GIS Tool for Measuring the Vulnerability of the Residential Stock Based on Multidimensional Indices
title_sort multi criteria analysis gis tool for measuring the vulnerability of the residential stock based on multidimensional indices
topic urban regeneration
housing and health
urban health
multi-criteria analysis
vulnerability assessment
geographic information system
url https://www.mdpi.com/2073-445X/12/8/1551
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AT olatzgrijalba amulticriteriaanalysisgistoolformeasuringthevulnerabilityoftheresidentialstockbasedonmultidimensionalindices
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