Designing aviation networks under Public Service Obligations (PSO): A case study in Greece

Detalhes bibliográficos
Autor(a) principal: Leandro, F.
Data de Publicação: 2021
Outros Autores: Andrade, R. A., Kalakou, S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/22383
Resumo: The present paper explores a Greek case study on optimizing the design of aviation networks under Public Service Obligations (PSO). Based on previous research on airline PSO networks applied to the case studies of the Azores and Norway, optimization models are adapted to minimize not only the cost to the airline, but also the total social costs. Different predictive models to estimate demand are developed and included in the optimization models. It is found that after applying the developed demand and optimization models, the total network costs can be reduced significantly, compared to the actual network´s operation ranging from 4% to 20%.
id RCAP_497497ef28b582eba88203be98e05a5d
oai_identifier_str oai:repositorio.iscte-iul.pt:10071/22383
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Designing aviation networks under Public Service Obligations (PSO): A case study in GreecePublic service obligationGreeceFlight scheduling and fleet assignmentInteger linear programmingAir passenger demand forecastAviation networksThe present paper explores a Greek case study on optimizing the design of aviation networks under Public Service Obligations (PSO). Based on previous research on airline PSO networks applied to the case studies of the Azores and Norway, optimization models are adapted to minimize not only the cost to the airline, but also the total social costs. Different predictive models to estimate demand are developed and included in the optimization models. It is found that after applying the developed demand and optimization models, the total network costs can be reduced significantly, compared to the actual network´s operation ranging from 4% to 20%.Elsevier2023-03-10T00:00:00Z2021-01-01T00:00:00Z20212021-03-22T10:44:49Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10071/22383eng0969-699710.1016/j.jairtraman.2021.102042Leandro, F.Andrade, R. A.Kalakou, S.info: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:RCAAP2023-11-09T17:39:07Zoai:repositorio.iscte-iul.pt:10071/22383Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:17:57.705916Repositório 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 Designing aviation networks under Public Service Obligations (PSO): A case study in Greece
title Designing aviation networks under Public Service Obligations (PSO): A case study in Greece
spellingShingle Designing aviation networks under Public Service Obligations (PSO): A case study in Greece
Leandro, F.
Public service obligation
Greece
Flight scheduling and fleet assignment
Integer linear programming
Air passenger demand forecast
Aviation networks
title_short Designing aviation networks under Public Service Obligations (PSO): A case study in Greece
title_full Designing aviation networks under Public Service Obligations (PSO): A case study in Greece
title_fullStr Designing aviation networks under Public Service Obligations (PSO): A case study in Greece
title_full_unstemmed Designing aviation networks under Public Service Obligations (PSO): A case study in Greece
title_sort Designing aviation networks under Public Service Obligations (PSO): A case study in Greece
author Leandro, F.
author_facet Leandro, F.
Andrade, R. A.
Kalakou, S.
author_role author
author2 Andrade, R. A.
Kalakou, S.
author2_role author
author
dc.contributor.author.fl_str_mv Leandro, F.
Andrade, R. A.
Kalakou, S.
dc.subject.por.fl_str_mv Public service obligation
Greece
Flight scheduling and fleet assignment
Integer linear programming
Air passenger demand forecast
Aviation networks
topic Public service obligation
Greece
Flight scheduling and fleet assignment
Integer linear programming
Air passenger demand forecast
Aviation networks
description The present paper explores a Greek case study on optimizing the design of aviation networks under Public Service Obligations (PSO). Based on previous research on airline PSO networks applied to the case studies of the Azores and Norway, optimization models are adapted to minimize not only the cost to the airline, but also the total social costs. Different predictive models to estimate demand are developed and included in the optimization models. It is found that after applying the developed demand and optimization models, the total network costs can be reduced significantly, compared to the actual network´s operation ranging from 4% to 20%.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01T00:00:00Z
2021
2021-03-22T10:44:49Z
2023-03-10T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/22383
url http://hdl.handle.net/10071/22383
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0969-6997
10.1016/j.jairtraman.2021.102042
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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
_version_ 1799134739016187904