Ranking residential neighborhoods based on their sustainability: A CM-BWM approach
Main Author: | |
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Publication Date: | 2022 |
Other Authors: | , |
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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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 |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10071/27213 |
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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info:eu-repo/semantics/openAccess |
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openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Vilnius Gediminas Technical University |
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Vilnius Gediminas Technical University |
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