Using multi-criteria analysis for smart city assessment

Detalhes bibliográficos
Autor(a) principal: Chiroli, Daiane Maria De Genaro
Data de Publicação: 2022
Outros Autores: Solek, Érica A. B., Oliveira, Rosana S., Barboza, Bertiene M. L., de Campos, Rodolfo P., Kovaleski, João L., , Sérgio M. Tebecherani, Trojan, Flavio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://revistas.rcaap.pt/cct/article/view/25677
Resumo: Urban centers have been under a new concept of city. Smart Cities are, in a nutshell, organized communities that feature high communication technology and conscious investments in sustainability, providing dynamic and safe environments. This paper presents a methodology to assess and rank Smart Cities based on a multi-criteria decision-making process. Methodologies that do not consider a pondered approach and filter for specific goals are commonly found in the literature, once there is a great number of criteria involved in these analyses. This work proposes filtering the criteria, considering each specific evaluation and its objectives. Our methodology is based on a multi-criteria analysis and uses AHP (Analytic Hierarchy Process) to support the process of weights definition and MACBAC (Multi-Attributive Border Approximation Area Comparison) in an application with compensatory characteristics. Through this study, it is possible to conduct the assessment of Smart Cities according to its multiple contexts, viz. its location, decision-makers and the objectives of the analysis. All in all, this research presents novelty related to the organization of the evaluation in accord to the expected resolution and a pondered approach with reduced number of criteria, making the analysis very straightforward.
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spelling Using multi-criteria analysis for smart city assessmentArticleUrban centers have been under a new concept of city. Smart Cities are, in a nutshell, organized communities that feature high communication technology and conscious investments in sustainability, providing dynamic and safe environments. This paper presents a methodology to assess and rank Smart Cities based on a multi-criteria decision-making process. Methodologies that do not consider a pondered approach and filter for specific goals are commonly found in the literature, once there is a great number of criteria involved in these analyses. This work proposes filtering the criteria, considering each specific evaluation and its objectives. Our methodology is based on a multi-criteria analysis and uses AHP (Analytic Hierarchy Process) to support the process of weights definition and MACBAC (Multi-Attributive Border Approximation Area Comparison) in an application with compensatory characteristics. Through this study, it is possible to conduct the assessment of Smart Cities according to its multiple contexts, viz. its location, decision-makers and the objectives of the analysis. All in all, this research presents novelty related to the organization of the evaluation in accord to the expected resolution and a pondered approach with reduced number of criteria, making the analysis very straightforward.DINÂMIA'CET-Iscte2022-06-15T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://revistas.rcaap.pt/cct/article/view/25677eng2182-3030Chiroli, Daiane Maria De GenaroSolek, Érica A. B.Oliveira, Rosana S.Barboza, Bertiene M. L.de Campos, Rodolfo P.Kovaleski, João L., Sérgio M. TebecheraniTrojan, Flavioinfo: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:RCAAP2022-09-23T16:03:09ZPortal AgregadorONG
dc.title.none.fl_str_mv Using multi-criteria analysis for smart city assessment
title Using multi-criteria analysis for smart city assessment
spellingShingle Using multi-criteria analysis for smart city assessment
Chiroli, Daiane Maria De Genaro
Article
title_short Using multi-criteria analysis for smart city assessment
title_full Using multi-criteria analysis for smart city assessment
title_fullStr Using multi-criteria analysis for smart city assessment
title_full_unstemmed Using multi-criteria analysis for smart city assessment
title_sort Using multi-criteria analysis for smart city assessment
author Chiroli, Daiane Maria De Genaro
author_facet Chiroli, Daiane Maria De Genaro
Solek, Érica A. B.
Oliveira, Rosana S.
Barboza, Bertiene M. L.
de Campos, Rodolfo P.
Kovaleski, João L.
, Sérgio M. Tebecherani
Trojan, Flavio
author_role author
author2 Solek, Érica A. B.
Oliveira, Rosana S.
Barboza, Bertiene M. L.
de Campos, Rodolfo P.
Kovaleski, João L.
, Sérgio M. Tebecherani
Trojan, Flavio
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Chiroli, Daiane Maria De Genaro
Solek, Érica A. B.
Oliveira, Rosana S.
Barboza, Bertiene M. L.
de Campos, Rodolfo P.
Kovaleski, João L.
, Sérgio M. Tebecherani
Trojan, Flavio
dc.subject.por.fl_str_mv Article
topic Article
description Urban centers have been under a new concept of city. Smart Cities are, in a nutshell, organized communities that feature high communication technology and conscious investments in sustainability, providing dynamic and safe environments. This paper presents a methodology to assess and rank Smart Cities based on a multi-criteria decision-making process. Methodologies that do not consider a pondered approach and filter for specific goals are commonly found in the literature, once there is a great number of criteria involved in these analyses. This work proposes filtering the criteria, considering each specific evaluation and its objectives. Our methodology is based on a multi-criteria analysis and uses AHP (Analytic Hierarchy Process) to support the process of weights definition and MACBAC (Multi-Attributive Border Approximation Area Comparison) in an application with compensatory characteristics. Through this study, it is possible to conduct the assessment of Smart Cities according to its multiple contexts, viz. its location, decision-makers and the objectives of the analysis. All in all, this research presents novelty related to the organization of the evaluation in accord to the expected resolution and a pondered approach with reduced number of criteria, making the analysis very straightforward.
publishDate 2022
dc.date.none.fl_str_mv 2022-06-15T00:00:00Z
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dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.rcaap.pt/cct/article/view/25677
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2182-3030
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv DINÂMIA'CET-Iscte
publisher.none.fl_str_mv DINÂMIA'CET-Iscte
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instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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