Setting rents in residential real estate: a methodological proposal using multiple criteria decision analysis
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/10607 |
Resumo: | The real estate sector has been negatively affected by the recent economic recession, which has forced structural changes that impact property value and price. Recent pressures have also motivated reduced liquidity and access to credit, causing a drop in property sales and, thus, boosting the rental housing market. It is worth noting, however, that the rental housing segment is not with-out difficulties and complexity, namely in terms of legislation and rental value revaluation. In light of this reasoning, this study aims to develop a multiple criteria decision support system for calculation of residential rents. By integrating cognitive maps and the measuring attractiveness by a categorical based evaluation technique (MACBETH), we also aim to introduce simplicity and transparency in the decision making framework. The practical implications, advantages and shortfalls of our proposal are also analyzed. |
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Setting rents in residential real estate: a methodological proposal using multiple criteria decision analysisMultiple criteria analysisDecision supportResidential rentalRental definitionReal estateThe real estate sector has been negatively affected by the recent economic recession, which has forced structural changes that impact property value and price. Recent pressures have also motivated reduced liquidity and access to credit, causing a drop in property sales and, thus, boosting the rental housing market. It is worth noting, however, that the rental housing segment is not with-out difficulties and complexity, namely in terms of legislation and rental value revaluation. In light of this reasoning, this study aims to develop a multiple criteria decision support system for calculation of residential rents. By integrating cognitive maps and the measuring attractiveness by a categorical based evaluation technique (MACBETH), we also aim to introduce simplicity and transparency in the decision making framework. The practical implications, advantages and shortfalls of our proposal are also analyzed.Vilnius Gediminas Technical University2016-01-13T12:04:59Z2015-01-01T00:00:00Z20152019-05-10T10:33:29Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/10607eng1648-715X10.3846/1648715X.2015.1093562Canas, S. R. D.Ferreira, F. A. F.Meidute-Kavaliauskiene, I.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:48:56Zoai:repositorio.iscte-iul.pt:10071/10607Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:23:56.627703Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Setting rents in residential real estate: a methodological proposal using multiple criteria decision analysis |
title |
Setting rents in residential real estate: a methodological proposal using multiple criteria decision analysis |
spellingShingle |
Setting rents in residential real estate: a methodological proposal using multiple criteria decision analysis Canas, S. R. D. Multiple criteria analysis Decision support Residential rental Rental definition Real estate |
title_short |
Setting rents in residential real estate: a methodological proposal using multiple criteria decision analysis |
title_full |
Setting rents in residential real estate: a methodological proposal using multiple criteria decision analysis |
title_fullStr |
Setting rents in residential real estate: a methodological proposal using multiple criteria decision analysis |
title_full_unstemmed |
Setting rents in residential real estate: a methodological proposal using multiple criteria decision analysis |
title_sort |
Setting rents in residential real estate: a methodological proposal using multiple criteria decision analysis |
author |
Canas, S. R. D. |
author_facet |
Canas, S. R. D. Ferreira, F. A. F. Meidute-Kavaliauskiene, I. |
author_role |
author |
author2 |
Ferreira, F. A. F. Meidute-Kavaliauskiene, I. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Canas, S. R. D. Ferreira, F. A. F. Meidute-Kavaliauskiene, I. |
dc.subject.por.fl_str_mv |
Multiple criteria analysis Decision support Residential rental Rental definition Real estate |
topic |
Multiple criteria analysis Decision support Residential rental Rental definition Real estate |
description |
The real estate sector has been negatively affected by the recent economic recession, which has forced structural changes that impact property value and price. Recent pressures have also motivated reduced liquidity and access to credit, causing a drop in property sales and, thus, boosting the rental housing market. It is worth noting, however, that the rental housing segment is not with-out difficulties and complexity, namely in terms of legislation and rental value revaluation. In light of this reasoning, this study aims to develop a multiple criteria decision support system for calculation of residential rents. By integrating cognitive maps and the measuring attractiveness by a categorical based evaluation technique (MACBETH), we also aim to introduce simplicity and transparency in the decision making framework. The practical implications, advantages and shortfalls of our proposal are also analyzed. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-01-01T00:00:00Z 2015 2016-01-13T12:04:59Z 2019-05-10T10:33:29Z |
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/10071/10607 |
url |
http://hdl.handle.net/10071/10607 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1648-715X 10.3846/1648715X.2015.1093562 |
dc.rights.driver.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 |
Vilnius Gediminas Technical University |
publisher.none.fl_str_mv |
Vilnius Gediminas Technical University |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799134801570037760 |