Determinants of length of stay : a parametric survival analysis

Detalhes bibliográficos
Autor(a) principal: Menezes, António Gomes de
Data de Publicação: 2006
Outros Autores: Moniz, Ana Isabel Arruda
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.3/1152
Resumo: Length of stay is one of the most important decisions made by tourists as it conditions their overall expenditure and stress caused on local resources. This paper estimates survival analysis models to learn the determinants of length of stay as survival analysis naturally lends itself to study the time elapsed between arrival and departure at a destination. It is found that individual sociodemographic profiles, such as nationality and gender, and attributes of actual trip experiences, such as repeat visitor behavior and overall satisfaction, are important determinants of length of stay. Thus, this paper’s regression results can be used to estimate the probability that a given group of individuals experiences a stay longer than a given threshold. This is important to the design of marketing strategies that effectively influence length of stays.
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spelling Determinants of length of stay : a parametric survival analysisLength of StaySurvival AnalysisTourism Demand ModellingLength of stay is one of the most important decisions made by tourists as it conditions their overall expenditure and stress caused on local resources. This paper estimates survival analysis models to learn the determinants of length of stay as survival analysis naturally lends itself to study the time elapsed between arrival and departure at a destination. It is found that individual sociodemographic profiles, such as nationality and gender, and attributes of actual trip experiences, such as repeat visitor behavior and overall satisfaction, are important determinants of length of stay. Thus, this paper’s regression results can be used to estimate the probability that a given group of individuals experiences a stay longer than a given threshold. This is important to the design of marketing strategies that effectively influence length of stays.CEEAplARepositório da Universidade dos AçoresMenezes, António Gomes deMoniz, Ana Isabel Arruda2011-05-27T10:36:56Z2006-112006-11-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.3/1152enginfo: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:RCAAP2022-12-20T14:28:42Zoai:repositorio.uac.pt:10400.3/1152Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:24:00.200382Repositório 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 Determinants of length of stay : a parametric survival analysis
title Determinants of length of stay : a parametric survival analysis
spellingShingle Determinants of length of stay : a parametric survival analysis
Menezes, António Gomes de
Length of Stay
Survival Analysis
Tourism Demand Modelling
title_short Determinants of length of stay : a parametric survival analysis
title_full Determinants of length of stay : a parametric survival analysis
title_fullStr Determinants of length of stay : a parametric survival analysis
title_full_unstemmed Determinants of length of stay : a parametric survival analysis
title_sort Determinants of length of stay : a parametric survival analysis
author Menezes, António Gomes de
author_facet Menezes, António Gomes de
Moniz, Ana Isabel Arruda
author_role author
author2 Moniz, Ana Isabel Arruda
author2_role author
dc.contributor.none.fl_str_mv Repositório da Universidade dos Açores
dc.contributor.author.fl_str_mv Menezes, António Gomes de
Moniz, Ana Isabel Arruda
dc.subject.por.fl_str_mv Length of Stay
Survival Analysis
Tourism Demand Modelling
topic Length of Stay
Survival Analysis
Tourism Demand Modelling
description Length of stay is one of the most important decisions made by tourists as it conditions their overall expenditure and stress caused on local resources. This paper estimates survival analysis models to learn the determinants of length of stay as survival analysis naturally lends itself to study the time elapsed between arrival and departure at a destination. It is found that individual sociodemographic profiles, such as nationality and gender, and attributes of actual trip experiences, such as repeat visitor behavior and overall satisfaction, are important determinants of length of stay. Thus, this paper’s regression results can be used to estimate the probability that a given group of individuals experiences a stay longer than a given threshold. This is important to the design of marketing strategies that effectively influence length of stays.
publishDate 2006
dc.date.none.fl_str_mv 2006-11
2006-11-01T00:00:00Z
2011-05-27T10:36:56Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.3/1152
url http://hdl.handle.net/10400.3/1152
dc.language.iso.fl_str_mv eng
language eng
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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
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