Index of satisfaction with public transport: a fuzzy clustering approach
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/21582 |
Resumo: | Increasing public transport use is recognized by many countries as crucial to the pursuit of a global strategy for environmental sustainability and improving urban mobility. Understanding what users value in a public transport service is essential to carry out this strategy. Using fuzzy clustering, we developed an index that measures individual user satisfaction with the public transport service in the metropolitan area of Lisbon and subsequently identified the possible determinants of satisfaction by means of a regression tree model. The results achieved unveil a hierarchical partition of the data, highlighting the diversified level of satisfaction among public transport users that is reflected in the distribution of the index. The managerial implications of the findings for the public transport service are addressed. |
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Index of satisfaction with public transport: a fuzzy clustering approachFuzzy clusteringPublic transportRegression treesService quality attributesIncreasing public transport use is recognized by many countries as crucial to the pursuit of a global strategy for environmental sustainability and improving urban mobility. Understanding what users value in a public transport service is essential to carry out this strategy. Using fuzzy clustering, we developed an index that measures individual user satisfaction with the public transport service in the metropolitan area of Lisbon and subsequently identified the possible determinants of satisfaction by means of a regression tree model. The results achieved unveil a hierarchical partition of the data, highlighting the diversified level of satisfaction among public transport users that is reflected in the distribution of the index. The managerial implications of the findings for the public transport service are addressed.MDPI2021-01-27T11:28:56Z2020-01-01T00:00:00Z20202021-01-27T11:28:20Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/21582eng2071-105010.3390/su12229759Vicente, P.Suleman, A.Reis, E.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:RCAAP2023-07-25T17:36:13ZPortal AgregadorONG |
dc.title.none.fl_str_mv |
Index of satisfaction with public transport: a fuzzy clustering approach |
title |
Index of satisfaction with public transport: a fuzzy clustering approach |
spellingShingle |
Index of satisfaction with public transport: a fuzzy clustering approach Vicente, P. Fuzzy clustering Public transport Regression trees Service quality attributes |
title_short |
Index of satisfaction with public transport: a fuzzy clustering approach |
title_full |
Index of satisfaction with public transport: a fuzzy clustering approach |
title_fullStr |
Index of satisfaction with public transport: a fuzzy clustering approach |
title_full_unstemmed |
Index of satisfaction with public transport: a fuzzy clustering approach |
title_sort |
Index of satisfaction with public transport: a fuzzy clustering approach |
author |
Vicente, P. |
author_facet |
Vicente, P. Suleman, A. Reis, E. |
author_role |
author |
author2 |
Suleman, A. Reis, E. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Vicente, P. Suleman, A. Reis, E. |
dc.subject.por.fl_str_mv |
Fuzzy clustering Public transport Regression trees Service quality attributes |
topic |
Fuzzy clustering Public transport Regression trees Service quality attributes |
description |
Increasing public transport use is recognized by many countries as crucial to the pursuit of a global strategy for environmental sustainability and improving urban mobility. Understanding what users value in a public transport service is essential to carry out this strategy. Using fuzzy clustering, we developed an index that measures individual user satisfaction with the public transport service in the metropolitan area of Lisbon and subsequently identified the possible determinants of satisfaction by means of a regression tree model. The results achieved unveil a hierarchical partition of the data, highlighting the diversified level of satisfaction among public transport users that is reflected in the distribution of the index. The managerial implications of the findings for the public transport service are addressed. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01T00:00:00Z 2020 2021-01-27T11:28:56Z 2021-01-27T11:28:20Z |
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/10071/21582 |
url |
http://hdl.handle.net/10071/21582 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2071-1050 10.3390/su12229759 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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1777303996507095040 |