Similarities and correlation between resident tourist overnights and Google Trends information in Portugal and its tourism regions

Detalhes bibliográficos
Autor(a) principal: Dinis,Gorete
Data de Publicação: 2017
Outros Autores: Costa,Carlos, Pacheco,Osvaldo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582017000300002
Resumo: Over the last years, we observed an exponential growth in the number of tourism consumers that use the Internet as a source of information during a destination selection process. Google Trends is a tool that displays data, almost in real time, on the interest of people in a particular topic based on search trends. This paper demonstrates that Google Trends is a tool that can provide useful and relevant information about the interests of individuals in relation to domestic tourism destinations at national and regional levels. Our findings indicate that overnights spent in hotel establishments by the residents in Portugal are strongly correlated with the Google index, mainly in mainland Portugal, Alentejo and Algarve regions, and that the results improve when more municipalities names and the national or the regional tourism brands are included as search terms
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spelling Similarities and correlation between resident tourist overnights and Google Trends information in Portugal and its tourism regionsGoogle Trendsdomestic tourismsearch dataPortugalbig dataOver the last years, we observed an exponential growth in the number of tourism consumers that use the Internet as a source of information during a destination selection process. Google Trends is a tool that displays data, almost in real time, on the interest of people in a particular topic based on search trends. This paper demonstrates that Google Trends is a tool that can provide useful and relevant information about the interests of individuals in relation to domestic tourism destinations at national and regional levels. Our findings indicate that overnights spent in hotel establishments by the residents in Portugal are strongly correlated with the Google index, mainly in mainland Portugal, Alentejo and Algarve regions, and that the results improve when more municipalities names and the national or the regional tourism brands are included as search termsEscola Superior de Gestão, Hotelaria e Turismo da Universidade do Algarve2017-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582017000300002Tourism & Management Studies v.13 n.3 2017reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582017000300002Dinis,GoreteCosta,CarlosPacheco,Osvaldoinfo:eu-repo/semantics/openAccess2024-02-06T17:29:09Zoai:scielo:S2182-84582017000300002Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:33:12.475695Repositório 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 Similarities and correlation between resident tourist overnights and Google Trends information in Portugal and its tourism regions
title Similarities and correlation between resident tourist overnights and Google Trends information in Portugal and its tourism regions
spellingShingle Similarities and correlation between resident tourist overnights and Google Trends information in Portugal and its tourism regions
Dinis,Gorete
Google Trends
domestic tourism
search data
Portugal
big data
title_short Similarities and correlation between resident tourist overnights and Google Trends information in Portugal and its tourism regions
title_full Similarities and correlation between resident tourist overnights and Google Trends information in Portugal and its tourism regions
title_fullStr Similarities and correlation between resident tourist overnights and Google Trends information in Portugal and its tourism regions
title_full_unstemmed Similarities and correlation between resident tourist overnights and Google Trends information in Portugal and its tourism regions
title_sort Similarities and correlation between resident tourist overnights and Google Trends information in Portugal and its tourism regions
author Dinis,Gorete
author_facet Dinis,Gorete
Costa,Carlos
Pacheco,Osvaldo
author_role author
author2 Costa,Carlos
Pacheco,Osvaldo
author2_role author
author
dc.contributor.author.fl_str_mv Dinis,Gorete
Costa,Carlos
Pacheco,Osvaldo
dc.subject.por.fl_str_mv Google Trends
domestic tourism
search data
Portugal
big data
topic Google Trends
domestic tourism
search data
Portugal
big data
description Over the last years, we observed an exponential growth in the number of tourism consumers that use the Internet as a source of information during a destination selection process. Google Trends is a tool that displays data, almost in real time, on the interest of people in a particular topic based on search trends. This paper demonstrates that Google Trends is a tool that can provide useful and relevant information about the interests of individuals in relation to domestic tourism destinations at national and regional levels. Our findings indicate that overnights spent in hotel establishments by the residents in Portugal are strongly correlated with the Google index, mainly in mainland Portugal, Alentejo and Algarve regions, and that the results improve when more municipalities names and the national or the regional tourism brands are included as search terms
publishDate 2017
dc.date.none.fl_str_mv 2017-09-01
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://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582017000300002
url http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582017000300002
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582017000300002
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Escola Superior de Gestão, Hotelaria e Turismo da Universidade do Algarve
publisher.none.fl_str_mv Escola Superior de Gestão, Hotelaria e Turismo da Universidade do Algarve
dc.source.none.fl_str_mv Tourism & Management Studies v.13 n.3 2017
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
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