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Ranking residential neighborhoods based on their sustainability: A CM-BWM approach

Bibliographic Details
Main Author: Andrade, F.
Publication Date: 2022
Other Authors: Ferreira, F., Correia, R.
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10071/27213
Summary: Population growth and rapid urbanization have consequences that are reflected in the economic, environmental, and social stability of city-residential neighborhoods. These impacts directly affect not only residents but also real estate markets and local governments. The professionals working in the latter entities have become increasingly concerned about urban sustainability and its strategic integration into their plans. Strategies have been implemented that focus on both addressing negative aspects of residential neighborhoods and enhancing positive features that can contribute to the continuous improvement of locals’ living conditions. This study applies the multiple-criteria decision analysis approach and a combination of cognitive mapping and the best-worst method (BWM) to identify the most relevant criteria and use these to rank residential neighborhoods according to their sustainability. To apply the selected techniques, two group meetings were held with a panel of decision makers. The results were validated by the panel members and the Funchal City Council councilor for urbanism, who concurred that the proposed ranking system facilitates the identification of the most sustainable residential neighborhoods. The contributions and limitations of the methodological approach are also discussed.
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spelling Ranking residential neighborhoods based on their sustainability: A CM-BWM approachBest Worst Method (BWM)Cognitive mappingMultiple criteria decision analysis (MCDA)Real estate marketResidential neighborhoodSustainabilityPopulation growth and rapid urbanization have consequences that are reflected in the economic, environmental, and social stability of city-residential neighborhoods. These impacts directly affect not only residents but also real estate markets and local governments. The professionals working in the latter entities have become increasingly concerned about urban sustainability and its strategic integration into their plans. Strategies have been implemented that focus on both addressing negative aspects of residential neighborhoods and enhancing positive features that can contribute to the continuous improvement of locals’ living conditions. This study applies the multiple-criteria decision analysis approach and a combination of cognitive mapping and the best-worst method (BWM) to identify the most relevant criteria and use these to rank residential neighborhoods according to their sustainability. To apply the selected techniques, two group meetings were held with a panel of decision makers. The results were validated by the panel members and the Funchal City Council councilor for urbanism, who concurred that the proposed ranking system facilitates the identification of the most sustainable residential neighborhoods. The contributions and limitations of the methodological approach are also discussed.Vilnius Gediminas Technical University2023-01-13T16:22:55Z2022-01-01T00:00:00Z20222023-01-13T16:21:52Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/27213eng1648-715X10.3846/ijspm.2022.18310Andrade, F.Ferreira, F.Correia, R.info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-07-07T02:55:04Zoai:repositorio.iscte-iul.pt:10071/27213Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:10:36.868018Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Ranking residential neighborhoods based on their sustainability: A CM-BWM approach
title Ranking residential neighborhoods based on their sustainability: A CM-BWM approach
spellingShingle Ranking residential neighborhoods based on their sustainability: A CM-BWM approach
Andrade, F.
Best Worst Method (BWM)
Cognitive mapping
Multiple criteria decision analysis (MCDA)
Real estate market
Residential neighborhood
Sustainability
title_short Ranking residential neighborhoods based on their sustainability: A CM-BWM approach
title_full Ranking residential neighborhoods based on their sustainability: A CM-BWM approach
title_fullStr Ranking residential neighborhoods based on their sustainability: A CM-BWM approach
title_full_unstemmed Ranking residential neighborhoods based on their sustainability: A CM-BWM approach
title_sort Ranking residential neighborhoods based on their sustainability: A CM-BWM approach
author Andrade, F.
author_facet Andrade, F.
Ferreira, F.
Correia, R.
author_role author
author2 Ferreira, F.
Correia, R.
author2_role author
author
dc.contributor.author.fl_str_mv Andrade, F.
Ferreira, F.
Correia, R.
dc.subject.por.fl_str_mv Best Worst Method (BWM)
Cognitive mapping
Multiple criteria decision analysis (MCDA)
Real estate market
Residential neighborhood
Sustainability
topic Best Worst Method (BWM)
Cognitive mapping
Multiple criteria decision analysis (MCDA)
Real estate market
Residential neighborhood
Sustainability
description Population growth and rapid urbanization have consequences that are reflected in the economic, environmental, and social stability of city-residential neighborhoods. These impacts directly affect not only residents but also real estate markets and local governments. The professionals working in the latter entities have become increasingly concerned about urban sustainability and its strategic integration into their plans. Strategies have been implemented that focus on both addressing negative aspects of residential neighborhoods and enhancing positive features that can contribute to the continuous improvement of locals’ living conditions. This study applies the multiple-criteria decision analysis approach and a combination of cognitive mapping and the best-worst method (BWM) to identify the most relevant criteria and use these to rank residential neighborhoods according to their sustainability. To apply the selected techniques, two group meetings were held with a panel of decision makers. The results were validated by the panel members and the Funchal City Council councilor for urbanism, who concurred that the proposed ranking system facilitates the identification of the most sustainable residential neighborhoods. The contributions and limitations of the methodological approach are also discussed.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01T00:00:00Z
2022
2023-01-13T16:22:55Z
2023-01-13T16:21:52Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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url http://hdl.handle.net/10071/27213
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1648-715X
10.3846/ijspm.2022.18310
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dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Vilnius Gediminas Technical University
publisher.none.fl_str_mv Vilnius Gediminas Technical University
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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