Similarities and correlation between resident tourist overnights and Google Trends information in Portugal and its tourism regions
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
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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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 |
repository.mail.fl_str_mv |
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1799137391777153024 |