A Mathematical Study of Barcelona Metro Network

[EN]The knowledge of the topological structure and the automatic fare collection systems in urban public transport produce many data that need to be adequately analyzed, processed and presented. These data provide a powerful tool to improve the quality of transport services and plan ahead. This pape...

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Autores: Mariñas del Collado, Irene, Frutos Bernal, Elisa, Santos Martín, María Teresa, Martín del Rey, Ángel María, Casado-Vara, Roberto, Gil González, Ana Belén
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Universidad de Salamanca (USAL)
Repositorio:GREDOS. Repositorio Institucional de la Universidad de Salamanca
OAI Identifier:oai:gredos.usal.es:10366/161130
Acceso en línea:http://hdl.handle.net/10366/161130
Access Level:acceso abierto
Palabra clave:Complex network analysis
Centrality measures
Network robustness
Ridership patterns
Clustering analysis
Passenger flow
Barcelona underground
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spelling A Mathematical Study of Barcelona Metro NetworkMariñas del Collado, IreneFrutos Bernal, ElisaSantos Martín, María TeresaMartín del Rey, Ángel MaríaCasado-Vara, RobertoGil González, Ana BelénComplex network analysisCentrality measuresNetwork robustnessRidership patternsClustering analysisPassenger flowBarcelona underground[EN]The knowledge of the topological structure and the automatic fare collection systems in urban public transport produce many data that need to be adequately analyzed, processed and presented. These data provide a powerful tool to improve the quality of transport services and plan ahead. This paper aims at studying, from a mathematical and statistical point of view, the Barcelona metro network; specifically: (1) the structural and robustness characteristics of the transportation network are computed and analyzed considering the complex network analysis; and (2) the common characteristics of the different subway stations of Barcelona, based on the passenger hourly entries, are identified through hierarchical clustering analysis. These results will be of great help in planning and restructuring transport to cope with the new social conditions, after the pandemic.MDPI202420242021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10366/161130reponame:GREDOS. Repositorio Institucional de la Universidad de Salamancainstname:Universidad de Salamanca (USAL)Inglésinfo:eu-repo/semantics/openAccessoai:gredos.usal.es:10366/1611302026-06-07T06:28:51Z
dc.title.none.fl_str_mv A Mathematical Study of Barcelona Metro Network
title A Mathematical Study of Barcelona Metro Network
spellingShingle A Mathematical Study of Barcelona Metro Network
Mariñas del Collado, Irene
Complex network analysis
Centrality measures
Network robustness
Ridership patterns
Clustering analysis
Passenger flow
Barcelona underground
title_short A Mathematical Study of Barcelona Metro Network
title_full A Mathematical Study of Barcelona Metro Network
title_fullStr A Mathematical Study of Barcelona Metro Network
title_full_unstemmed A Mathematical Study of Barcelona Metro Network
title_sort A Mathematical Study of Barcelona Metro Network
dc.creator.none.fl_str_mv Mariñas del Collado, Irene
Frutos Bernal, Elisa
Santos Martín, María Teresa
Martín del Rey, Ángel María
Casado-Vara, Roberto
Gil González, Ana Belén
author Mariñas del Collado, Irene
author_facet Mariñas del Collado, Irene
Frutos Bernal, Elisa
Santos Martín, María Teresa
Martín del Rey, Ángel María
Casado-Vara, Roberto
Gil González, Ana Belén
author_role author
author2 Frutos Bernal, Elisa
Santos Martín, María Teresa
Martín del Rey, Ángel María
Casado-Vara, Roberto
Gil González, Ana Belén
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Complex network analysis
Centrality measures
Network robustness
Ridership patterns
Clustering analysis
Passenger flow
Barcelona underground
topic Complex network analysis
Centrality measures
Network robustness
Ridership patterns
Clustering analysis
Passenger flow
Barcelona underground
description [EN]The knowledge of the topological structure and the automatic fare collection systems in urban public transport produce many data that need to be adequately analyzed, processed and presented. These data provide a powerful tool to improve the quality of transport services and plan ahead. This paper aims at studying, from a mathematical and statistical point of view, the Barcelona metro network; specifically: (1) the structural and robustness characteristics of the transportation network are computed and analyzed considering the complex network analysis; and (2) the common characteristics of the different subway stations of Barcelona, based on the passenger hourly entries, are identified through hierarchical clustering analysis. These results will be of great help in planning and restructuring transport to cope with the new social conditions, after the pandemic.
publishDate 2021
dc.date.none.fl_str_mv 2021
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/10366/161130
url http://hdl.handle.net/10366/161130
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 15.811543

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