Tracking changes in tourism demand with point-of-sale data: The case of Portugal

Detalhes bibliográficos
Autor(a) principal: Marques, Carlos Peixeira
Data de Publicação: 2022
Outros Autores: Guedes, Alexandre Sousa, Bento, Ricardo Jorge e Silva
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10348/11032
Resumo: This study extends the literature on big data applied to tourism by validating the significance of point-of-sale (POS) electronic transactions, which have received little attention within tourism literature, as a reliable and effective alternative to surveys on guests stays at tourist accommodation establishments. Compared with official statistics on occupancy of tourist accommodation establishments, data on POS transactions tend to exhibit greater volatility and a less adverse year-on-year variation during the COVID-19 pandemic in Portugal. Still, both data sources reveal the same underlying trend. POS electronic payments, namely at lodging establishments, deliver timely data for most municipalities in Portugal, filling in significant data gaps in many low-density areas, where statistical confidentiality is imposed in tourism indicators. This supports POS data’s effectiveness to analyse regional inequalities at the municipal level, allowing to gain a clearer understanding of the impacts of COVID-19 in domestic tourism.
id RCAP_ff4a838e136a2f3f75469fed10c17219
oai_identifier_str oai:repositorio.utad.pt:10348/11032
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Tracking changes in tourism demand with point-of-sale data: The case of PortugalBig dataPoint-of-sale electronic transactionsDomestic tourismCOVID-19This study extends the literature on big data applied to tourism by validating the significance of point-of-sale (POS) electronic transactions, which have received little attention within tourism literature, as a reliable and effective alternative to surveys on guests stays at tourist accommodation establishments. Compared with official statistics on occupancy of tourist accommodation establishments, data on POS transactions tend to exhibit greater volatility and a less adverse year-on-year variation during the COVID-19 pandemic in Portugal. Still, both data sources reveal the same underlying trend. POS electronic payments, namely at lodging establishments, deliver timely data for most municipalities in Portugal, filling in significant data gaps in many low-density areas, where statistical confidentiality is imposed in tourism indicators. This supports POS data’s effectiveness to analyse regional inequalities at the municipal level, allowing to gain a clearer understanding of the impacts of COVID-19 in domestic tourism.2022-02-14T11:10:07Z2022-01-01T00:00:00Z2022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10348/11032eng1742-9692Marques, Carlos PeixeiraGuedes, Alexandre SousaBento, Ricardo Jorge e Silvainfo: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:RCAAP2024-02-02T12:40:34Zoai:repositorio.utad.pt:10348/11032Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:02:37.801591Repositório 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 Tracking changes in tourism demand with point-of-sale data: The case of Portugal
title Tracking changes in tourism demand with point-of-sale data: The case of Portugal
spellingShingle Tracking changes in tourism demand with point-of-sale data: The case of Portugal
Marques, Carlos Peixeira
Big data
Point-of-sale electronic transactions
Domestic tourism
COVID-19
title_short Tracking changes in tourism demand with point-of-sale data: The case of Portugal
title_full Tracking changes in tourism demand with point-of-sale data: The case of Portugal
title_fullStr Tracking changes in tourism demand with point-of-sale data: The case of Portugal
title_full_unstemmed Tracking changes in tourism demand with point-of-sale data: The case of Portugal
title_sort Tracking changes in tourism demand with point-of-sale data: The case of Portugal
author Marques, Carlos Peixeira
author_facet Marques, Carlos Peixeira
Guedes, Alexandre Sousa
Bento, Ricardo Jorge e Silva
author_role author
author2 Guedes, Alexandre Sousa
Bento, Ricardo Jorge e Silva
author2_role author
author
dc.contributor.author.fl_str_mv Marques, Carlos Peixeira
Guedes, Alexandre Sousa
Bento, Ricardo Jorge e Silva
dc.subject.por.fl_str_mv Big data
Point-of-sale electronic transactions
Domestic tourism
COVID-19
topic Big data
Point-of-sale electronic transactions
Domestic tourism
COVID-19
description This study extends the literature on big data applied to tourism by validating the significance of point-of-sale (POS) electronic transactions, which have received little attention within tourism literature, as a reliable and effective alternative to surveys on guests stays at tourist accommodation establishments. Compared with official statistics on occupancy of tourist accommodation establishments, data on POS transactions tend to exhibit greater volatility and a less adverse year-on-year variation during the COVID-19 pandemic in Portugal. Still, both data sources reveal the same underlying trend. POS electronic payments, namely at lodging establishments, deliver timely data for most municipalities in Portugal, filling in significant data gaps in many low-density areas, where statistical confidentiality is imposed in tourism indicators. This supports POS data’s effectiveness to analyse regional inequalities at the municipal level, allowing to gain a clearer understanding of the impacts of COVID-19 in domestic tourism.
publishDate 2022
dc.date.none.fl_str_mv 2022-02-14T11:10:07Z
2022-01-01T00:00:00Z
2022
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/10348/11032
url http://hdl.handle.net/10348/11032
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1742-9692
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.source.none.fl_str_mv 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
_version_ 1799137111409950720