Tracking changes in tourism demand with point-of-sale data: The case of Portugal
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , |
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 |