Exportação concluída — 

Determinants of length of stay : a parametric survival analysis

Bibliographic Details
Main Author: Menezes, António Gomes de
Publication Date: 2006
Other Authors: Moniz, Ana Isabel Arruda
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.3/1152
Summary: 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.
id RCAP_da977d7c50c729a0783f9ac1b0f07cea
oai_identifier_str oai:repositorio.uac.pt:10400.3/1152
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-07T09:58:47Zoai:repositorio.uac.pt:10400.3/1152Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:26:17.626091Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
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
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/10400.3/1152
url http://hdl.handle.net/10400.3/1152
dc.language.iso.fl_str_mv eng
language eng
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 CEEAplA
publisher.none.fl_str_mv CEEAplA
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833600536133238784