Determinants of length of stay : a parametric survival analysis
Main Author: | |
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Publication Date: | 2006 |
Other Authors: | |
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. |
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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 |
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openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
CEEAplA |
publisher.none.fl_str_mv |
CEEAplA |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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