Analysis of Madrid Metro Network: From Structural to HJ-Biplot Perspective

[EN]With the growth of cities, urban traffic has increased and traffic congestion has become a serious problem. Due to their characteristics, metro systems are one of the most used public transportation networks in big cities. So, optimization and planning of metro networks are challenges which gove...

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Detalles Bibliográficos
Autores: Frutos Bernal, Elisa, Martín del Rey, Ángel María, Galindo Villardón, Purificación
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Universidad de Salamanca (USAL)
Repositorio:GREDOS. Repositorio Institucional de la Universidad de Salamanca
OAI Identifier:oai:gredos.usal.es:10366/161143
Acceso en línea:http://hdl.handle.net/10366/161143
Access Level:acceso abierto
Palabra clave:Subway networks
Complex network analysis
HJ-Biplot
Cluster analysis
Multivariate statistical analysis
Madrid metro network
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spelling Analysis of Madrid Metro Network: From Structural to HJ-Biplot PerspectiveFrutos Bernal, ElisaMartín del Rey, Ángel MaríaGalindo Villardón, PurificaciónSubway networksComplex network analysisHJ-BiplotCluster analysisMultivariate statistical analysisMadrid metro network[EN]With the growth of cities, urban traffic has increased and traffic congestion has become a serious problem. Due to their characteristics, metro systems are one of the most used public transportation networks in big cities. So, optimization and planning of metro networks are challenges which governments must focus on. The objective of this study was to analyze Madrid metro network using graph theory. Through complex network theory, the main structural and topological properties of the network as well as robustness characteristics were obtained. Furthermore, to inspect these results, multivariate analysis techniques were employed, specifically HJ-Biplot. This analysis tool allowed us to explore relationships between centrality measures and to classify stations according to their centrality. Therefore, it is a multidisciplinary study that includes network analysis and multivariate analysis. The study found that closeness and eccentricity were strongly negatively correlated. In addition, the most central stations were those located in the city center, that is, there is a relationship between centrality and geographic location. In terms of robustness, a highly agglomerated community structure was found.MDPI202420242020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10366/161143reponame:GREDOS. Repositorio Institucional de la Universidad de Salamancainstname:Universidad de Salamanca (USAL)Inglésinfo:eu-repo/semantics/openAccessoai:gredos.usal.es:10366/1611432026-06-07T06:28:51Z
dc.title.none.fl_str_mv Analysis of Madrid Metro Network: From Structural to HJ-Biplot Perspective
title Analysis of Madrid Metro Network: From Structural to HJ-Biplot Perspective
spellingShingle Analysis of Madrid Metro Network: From Structural to HJ-Biplot Perspective
Frutos Bernal, Elisa
Subway networks
Complex network analysis
HJ-Biplot
Cluster analysis
Multivariate statistical analysis
Madrid metro network
title_short Analysis of Madrid Metro Network: From Structural to HJ-Biplot Perspective
title_full Analysis of Madrid Metro Network: From Structural to HJ-Biplot Perspective
title_fullStr Analysis of Madrid Metro Network: From Structural to HJ-Biplot Perspective
title_full_unstemmed Analysis of Madrid Metro Network: From Structural to HJ-Biplot Perspective
title_sort Analysis of Madrid Metro Network: From Structural to HJ-Biplot Perspective
dc.creator.none.fl_str_mv Frutos Bernal, Elisa
Martín del Rey, Ángel María
Galindo Villardón, Purificación
author Frutos Bernal, Elisa
author_facet Frutos Bernal, Elisa
Martín del Rey, Ángel María
Galindo Villardón, Purificación
author_role author
author2 Martín del Rey, Ángel María
Galindo Villardón, Purificación
author2_role author
author
dc.subject.none.fl_str_mv Subway networks
Complex network analysis
HJ-Biplot
Cluster analysis
Multivariate statistical analysis
Madrid metro network
topic Subway networks
Complex network analysis
HJ-Biplot
Cluster analysis
Multivariate statistical analysis
Madrid metro network
description [EN]With the growth of cities, urban traffic has increased and traffic congestion has become a serious problem. Due to their characteristics, metro systems are one of the most used public transportation networks in big cities. So, optimization and planning of metro networks are challenges which governments must focus on. The objective of this study was to analyze Madrid metro network using graph theory. Through complex network theory, the main structural and topological properties of the network as well as robustness characteristics were obtained. Furthermore, to inspect these results, multivariate analysis techniques were employed, specifically HJ-Biplot. This analysis tool allowed us to explore relationships between centrality measures and to classify stations according to their centrality. Therefore, it is a multidisciplinary study that includes network analysis and multivariate analysis. The study found that closeness and eccentricity were strongly negatively correlated. In addition, the most central stations were those located in the city center, that is, there is a relationship between centrality and geographic location. In terms of robustness, a highly agglomerated community structure was found.
publishDate 2020
dc.date.none.fl_str_mv 2020
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10366/161143
url http://hdl.handle.net/10366/161143
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname:Universidad de Salamanca (USAL)
instname_str Universidad de Salamanca (USAL)
reponame_str GREDOS. Repositorio Institucional de la Universidad de Salamanca
collection GREDOS. Repositorio Institucional de la Universidad de Salamanca
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.81155

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