Factors influencing charter flight departure delay

Detalhes bibliográficos
Autor(a) principal: Fernandes, Nuno
Data de Publicação: 2020
Outros Autores: Moro, Sérgio, Costa, Carlos J., Aparício, Manuela
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/142685
Resumo: Fernandes, N., Moro, S., Costa, C. J., & Aparício, M. (2020). Factors influencing charter flight departure delay. Research in Transportation Business and Management, 34, 1-10. [100413]. [Advanced online publication on 10 december 2019]. https://doi.org/10.1016/j.rtbm.2019.100413
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spelling Factors influencing charter flight departure delayCharter industryData miningDelay predictionFeature relevanceFlight delayDecision Sciences(all)Business and International ManagementTransportationEconomics, Econometrics and Finance (miscellaneous)Tourism, Leisure and Hospitality ManagementStrategy and ManagementManagement Science and Operations ResearchSDG 8 - Decent Work and Economic GrowthSDG 9 - Industry, Innovation, and InfrastructureFernandes, N., Moro, S., Costa, C. J., & Aparício, M. (2020). Factors influencing charter flight departure delay. Research in Transportation Business and Management, 34, 1-10. [100413]. [Advanced online publication on 10 december 2019]. https://doi.org/10.1016/j.rtbm.2019.100413This study aims to identify the main factors leading to charter flight departure delay through data mining. The data sample analysed consists of 5484 flights operated by a European airline between 2014 and 2017. The tuned dataset of 33 features was used for modelling departure delay (e.g., if the flight delayed >15 min). The results proved the value of the proposed approach by an area under the receiver operating characteristic curve of 0.831 and supported knowledge extraction through the data-based sensitivity analysis. The features related to previous flight delay information were considered as being the most influential toward current flight being delayed or not, which is consistent with the propagating effect of flight delays. However, it is not the reason for the previous delay nor the delay duration that accounted for the most relevance. Instead, a computed feature indicating if there were two or more registered reasons accounted for 33% of relevance. The contributions include also using a broader data mining approach supported by an extensive data understanding and preparation stage using both proprietary and open access data sources to build a comprehensive dataset.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNFernandes, NunoMoro, SérgioCosta, Carlos J.Aparício, Manuela2022-07-29T22:21:07Z2020-032020-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article10application/pdfhttp://hdl.handle.net/10362/142685eng2210-5395PURE: 16146398https://doi.org/10.1016/j.rtbm.2019.100413info: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:RCAAP2024-03-11T05:20:33Zoai:run.unl.pt:10362/142685Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:50:28.372382Repositório 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 Factors influencing charter flight departure delay
title Factors influencing charter flight departure delay
spellingShingle Factors influencing charter flight departure delay
Fernandes, Nuno
Charter industry
Data mining
Delay prediction
Feature relevance
Flight delay
Decision Sciences(all)
Business and International Management
Transportation
Economics, Econometrics and Finance (miscellaneous)
Tourism, Leisure and Hospitality Management
Strategy and Management
Management Science and Operations Research
SDG 8 - Decent Work and Economic Growth
SDG 9 - Industry, Innovation, and Infrastructure
title_short Factors influencing charter flight departure delay
title_full Factors influencing charter flight departure delay
title_fullStr Factors influencing charter flight departure delay
title_full_unstemmed Factors influencing charter flight departure delay
title_sort Factors influencing charter flight departure delay
author Fernandes, Nuno
author_facet Fernandes, Nuno
Moro, Sérgio
Costa, Carlos J.
Aparício, Manuela
author_role author
author2 Moro, Sérgio
Costa, Carlos J.
Aparício, Manuela
author2_role author
author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Fernandes, Nuno
Moro, Sérgio
Costa, Carlos J.
Aparício, Manuela
dc.subject.por.fl_str_mv Charter industry
Data mining
Delay prediction
Feature relevance
Flight delay
Decision Sciences(all)
Business and International Management
Transportation
Economics, Econometrics and Finance (miscellaneous)
Tourism, Leisure and Hospitality Management
Strategy and Management
Management Science and Operations Research
SDG 8 - Decent Work and Economic Growth
SDG 9 - Industry, Innovation, and Infrastructure
topic Charter industry
Data mining
Delay prediction
Feature relevance
Flight delay
Decision Sciences(all)
Business and International Management
Transportation
Economics, Econometrics and Finance (miscellaneous)
Tourism, Leisure and Hospitality Management
Strategy and Management
Management Science and Operations Research
SDG 8 - Decent Work and Economic Growth
SDG 9 - Industry, Innovation, and Infrastructure
description Fernandes, N., Moro, S., Costa, C. J., & Aparício, M. (2020). Factors influencing charter flight departure delay. Research in Transportation Business and Management, 34, 1-10. [100413]. [Advanced online publication on 10 december 2019]. https://doi.org/10.1016/j.rtbm.2019.100413
publishDate 2020
dc.date.none.fl_str_mv 2020-03
2020-03-01T00:00:00Z
2022-07-29T22:21:07Z
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/10362/142685
url http://hdl.handle.net/10362/142685
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2210-5395
PURE: 16146398
https://doi.org/10.1016/j.rtbm.2019.100413
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 10
application/pdf
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
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