A knowledge-based decision support system for sustainable city livability evaluation

Detalhes bibliográficos
Autor(a) principal: Reis, Inês Filipa Coutinho
Data de Publicação: 2017
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/14605
Resumo: The real estate industry is an important indicator of national economies and is influenced by the environment in which it operates. Several countries were seriously affected by the most recent international financial crisis, including Portugal. Nevertheless, it is still an interesting area to invest in, in spite of the challenges cities may face nowadays that influence their sustainable livability. For this reason, it seems logical to develop and apply methodologies aimed at evaluating sustainable city livability. It is worth noting, however, that there are methodological limitations typically associated with the majority of the current applications (e.g. how to select and weight criteria in the evaluation), which have been hampering the progress. Hence, this dissertation aims to develop a knowledge-based decision support system to evaluate sustainable city livability, in a transparent and informed way. To achieve this goal, it combines cognitive mapping techniques and the Analytic Hierarchy Process (AHP). The advantages and limitations of this integrative evaluation model are also analyzed and discussed.
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spelling A knowledge-based decision support system for sustainable city livability evaluationMercado imobiliárioAvaliaçãoSustentabilidadeHabitação urbanaTrabalho de projetoReal estateSustainable City Livability EvaluationCognitive ,appingAHP-Analytic Hierarchy ProcessMCDA- Multiple Criteria Decision AnalysisAvaliação da habitabilidade sustentávelMapeamento CognitivoThe real estate industry is an important indicator of national economies and is influenced by the environment in which it operates. Several countries were seriously affected by the most recent international financial crisis, including Portugal. Nevertheless, it is still an interesting area to invest in, in spite of the challenges cities may face nowadays that influence their sustainable livability. For this reason, it seems logical to develop and apply methodologies aimed at evaluating sustainable city livability. It is worth noting, however, that there are methodological limitations typically associated with the majority of the current applications (e.g. how to select and weight criteria in the evaluation), which have been hampering the progress. Hence, this dissertation aims to develop a knowledge-based decision support system to evaluate sustainable city livability, in a transparent and informed way. To achieve this goal, it combines cognitive mapping techniques and the Analytic Hierarchy Process (AHP). The advantages and limitations of this integrative evaluation model are also analyzed and discussed.O mercado imobiliário é um indicador importante das economias mundiais e é influenciado pelo ambiente em que opera. Muitos foram os países seriamente afetados pela mais recente crise financeira internacional, incluindo Portugal. Não obstante, este continua a ser uma área de investimento interessante, ainda que, hoje em dia, as cidades possam enfrentar desafios que influenciam a sua habitabilidade sustentável. Por essa razão, parece lógico o desenvolvimento e a aplicação de metodologias que permitam avaliar a sustentabilidade habitacional de uma área urbana. No entanto, limitações metodológicas comuns à maioria das aplicações (e.g. processo de seleção e ponderação dos critérios de avaliação) têm dificultado os progressos alcançados. Assim, a presente dissertação pretende desenvolver um “termómetro” de habitabilidade sustentável que, de forma informada e transparente, permita apoiar a tomada de decisão no mercado imobiliário urbano, através da combinação do uso integrado de técnicas de mapeamento cognitivo e da metodologia Analytic Hierarchy Process (AHP). As vantagens e as limitações do uso deste sistema integrativo de avaliação serão também analisadas e discutidas.2017-11-08T13:54:17Z2020-11-08T00:00:00Z2017-01-01T00:00:00Z20172017-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfapplication/octet-streamhttp://hdl.handle.net/10071/14605TID:201730464engReis, Inês Filipa Coutinhoinfo: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:RCAAP2023-11-09T17:55:47Zoai:repositorio.iscte-iul.pt:10071/14605Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:28:30.110118Repositório 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 A knowledge-based decision support system for sustainable city livability evaluation
title A knowledge-based decision support system for sustainable city livability evaluation
spellingShingle A knowledge-based decision support system for sustainable city livability evaluation
Reis, Inês Filipa Coutinho
Mercado imobiliário
Avaliação
Sustentabilidade
Habitação urbana
Trabalho de projeto
Real estate
Sustainable City Livability Evaluation
Cognitive ,apping
AHP-Analytic Hierarchy Process
MCDA- Multiple Criteria Decision Analysis
Avaliação da habitabilidade sustentável
Mapeamento Cognitivo
title_short A knowledge-based decision support system for sustainable city livability evaluation
title_full A knowledge-based decision support system for sustainable city livability evaluation
title_fullStr A knowledge-based decision support system for sustainable city livability evaluation
title_full_unstemmed A knowledge-based decision support system for sustainable city livability evaluation
title_sort A knowledge-based decision support system for sustainable city livability evaluation
author Reis, Inês Filipa Coutinho
author_facet Reis, Inês Filipa Coutinho
author_role author
dc.contributor.author.fl_str_mv Reis, Inês Filipa Coutinho
dc.subject.por.fl_str_mv Mercado imobiliário
Avaliação
Sustentabilidade
Habitação urbana
Trabalho de projeto
Real estate
Sustainable City Livability Evaluation
Cognitive ,apping
AHP-Analytic Hierarchy Process
MCDA- Multiple Criteria Decision Analysis
Avaliação da habitabilidade sustentável
Mapeamento Cognitivo
topic Mercado imobiliário
Avaliação
Sustentabilidade
Habitação urbana
Trabalho de projeto
Real estate
Sustainable City Livability Evaluation
Cognitive ,apping
AHP-Analytic Hierarchy Process
MCDA- Multiple Criteria Decision Analysis
Avaliação da habitabilidade sustentável
Mapeamento Cognitivo
description The real estate industry is an important indicator of national economies and is influenced by the environment in which it operates. Several countries were seriously affected by the most recent international financial crisis, including Portugal. Nevertheless, it is still an interesting area to invest in, in spite of the challenges cities may face nowadays that influence their sustainable livability. For this reason, it seems logical to develop and apply methodologies aimed at evaluating sustainable city livability. It is worth noting, however, that there are methodological limitations typically associated with the majority of the current applications (e.g. how to select and weight criteria in the evaluation), which have been hampering the progress. Hence, this dissertation aims to develop a knowledge-based decision support system to evaluate sustainable city livability, in a transparent and informed way. To achieve this goal, it combines cognitive mapping techniques and the Analytic Hierarchy Process (AHP). The advantages and limitations of this integrative evaluation model are also analyzed and discussed.
publishDate 2017
dc.date.none.fl_str_mv 2017-11-08T13:54:17Z
2017-01-01T00:00:00Z
2017
2017-07
2020-11-08T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/14605
TID:201730464
url http://hdl.handle.net/10071/14605
identifier_str_mv TID:201730464
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/octet-stream
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
repository.mail.fl_str_mv
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