A decision support system for collaborative management of multimodal public transport services

Detalhes bibliográficos
Autor(a) principal: Vítor Santos
Data de Publicação: 2020
Outros Autores: Tânia Fontes, Joel Ribeiro, Jorge Pinho de Sousa, Jorge Freire de Sousa
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/129415
Resumo: A set of processes, including the collection of heterogeneous data and in-depth knowledge on multiple dimensions, are required to enhance multimodal public transport services and address traveller needs in an effective and efficient way. The main purpose of this paper is to use reliability data to drive the planning and operationalisation of a multimodal metropolitan-wide network of public transport, covering the needs of authorities, transport providers and travellers. This will be achieved by a methodology using data from current public transport lines and design process to find the best combination of hubs, stops and connections, fully controlled by the transport authority and with the assistance of transport providers. The expect result is a more "predictable" network that maximises schedule reliability, while providing better information for travellers.
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spelling A decision support system for collaborative management of multimodal public transport servicesA set of processes, including the collection of heterogeneous data and in-depth knowledge on multiple dimensions, are required to enhance multimodal public transport services and address traveller needs in an effective and efficient way. The main purpose of this paper is to use reliability data to drive the planning and operationalisation of a multimodal metropolitan-wide network of public transport, covering the needs of authorities, transport providers and travellers. This will be achieved by a methodology using data from current public transport lines and design process to find the best combination of hubs, stops and connections, fully controlled by the transport authority and with the assistance of transport providers. The expect result is a more "predictable" network that maximises schedule reliability, while providing better information for travellers.2020-05-282020-05-28T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/129415eng10.13140/RG.2.2.36048.05127Vítor SantosTânia FontesJoel RibeiroJorge Pinho de SousaJorge Freire de Sousainfo: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:RCAAP2023-11-29T15:25:47Zoai:repositorio-aberto.up.pt:10216/129415Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:23:30.669985Repositório 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 decision support system for collaborative management of multimodal public transport services
title A decision support system for collaborative management of multimodal public transport services
spellingShingle A decision support system for collaborative management of multimodal public transport services
Vítor Santos
title_short A decision support system for collaborative management of multimodal public transport services
title_full A decision support system for collaborative management of multimodal public transport services
title_fullStr A decision support system for collaborative management of multimodal public transport services
title_full_unstemmed A decision support system for collaborative management of multimodal public transport services
title_sort A decision support system for collaborative management of multimodal public transport services
author Vítor Santos
author_facet Vítor Santos
Tânia Fontes
Joel Ribeiro
Jorge Pinho de Sousa
Jorge Freire de Sousa
author_role author
author2 Tânia Fontes
Joel Ribeiro
Jorge Pinho de Sousa
Jorge Freire de Sousa
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Vítor Santos
Tânia Fontes
Joel Ribeiro
Jorge Pinho de Sousa
Jorge Freire de Sousa
description A set of processes, including the collection of heterogeneous data and in-depth knowledge on multiple dimensions, are required to enhance multimodal public transport services and address traveller needs in an effective and efficient way. The main purpose of this paper is to use reliability data to drive the planning and operationalisation of a multimodal metropolitan-wide network of public transport, covering the needs of authorities, transport providers and travellers. This will be achieved by a methodology using data from current public transport lines and design process to find the best combination of hubs, stops and connections, fully controlled by the transport authority and with the assistance of transport providers. The expect result is a more "predictable" network that maximises schedule reliability, while providing better information for travellers.
publishDate 2020
dc.date.none.fl_str_mv 2020-05-28
2020-05-28T00:00:00Z
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dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/129415
url https://hdl.handle.net/10216/129415
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.13140/RG.2.2.36048.05127
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