Identification of common city characteristics influencing room occupancy

Detalhes bibliográficos
Autor(a) principal: Moro, S.
Data de Publicação: 2019
Outros Autores: Rita, P.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/18100
Resumo: Purpose National tourism offices worldwide implement marketing strategies to influence tourists’ choices. However, there is more than meets the eye when it comes to choosing a city as a tourism destination. The purpose of this paper is to answer which are the characteristics that play a key role in room occupancy. Design/methodology/approach Diverse characteristics such as the city offer, demographics, natural amenities (e.g. number of beaches) and also politics (e.g. type of government) are combined into a decision tree model to unveil the relevance of each in determining room occupancy. The empirical experiments used data known in 2015 from 43 cities from Europe and the rest of the World to model room occupancy rate in 2016. Findings While the seasonality effect plays the most significant role, other less studied features such as the type of political party prior to current government were found to have an impact in room occupancy. Originality/value This study unveiled that center–right and right governments are generally more sensitive to promote its city as a tourism destination.
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spelling Identification of common city characteristics influencing room occupancyHotelsRoom occupancyCity characteristicsNatural amenitiesData miningPurpose National tourism offices worldwide implement marketing strategies to influence tourists’ choices. However, there is more than meets the eye when it comes to choosing a city as a tourism destination. The purpose of this paper is to answer which are the characteristics that play a key role in room occupancy. Design/methodology/approach Diverse characteristics such as the city offer, demographics, natural amenities (e.g. number of beaches) and also politics (e.g. type of government) are combined into a decision tree model to unveil the relevance of each in determining room occupancy. The empirical experiments used data known in 2015 from 43 cities from Europe and the rest of the World to model room occupancy rate in 2016. Findings While the seasonality effect plays the most significant role, other less studied features such as the type of political party prior to current government were found to have an impact in room occupancy. Originality/value This study unveiled that center–right and right governments are generally more sensitive to promote its city as a tourism destination.Emerald2019-05-22T12:16:09Z2019-01-01T00:00:00Z20192019-05-22T13:15:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/18100eng2056-560710.1108/IJTC-08-2018-0063Moro, S.Rita, P.info: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:RCAAP2023-11-09T17:54:56Zoai:repositorio.iscte-iul.pt:10071/18100Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:27:52.106713Repositório 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 Identification of common city characteristics influencing room occupancy
title Identification of common city characteristics influencing room occupancy
spellingShingle Identification of common city characteristics influencing room occupancy
Moro, S.
Hotels
Room occupancy
City characteristics
Natural amenities
Data mining
title_short Identification of common city characteristics influencing room occupancy
title_full Identification of common city characteristics influencing room occupancy
title_fullStr Identification of common city characteristics influencing room occupancy
title_full_unstemmed Identification of common city characteristics influencing room occupancy
title_sort Identification of common city characteristics influencing room occupancy
author Moro, S.
author_facet Moro, S.
Rita, P.
author_role author
author2 Rita, P.
author2_role author
dc.contributor.author.fl_str_mv Moro, S.
Rita, P.
dc.subject.por.fl_str_mv Hotels
Room occupancy
City characteristics
Natural amenities
Data mining
topic Hotels
Room occupancy
City characteristics
Natural amenities
Data mining
description Purpose National tourism offices worldwide implement marketing strategies to influence tourists’ choices. However, there is more than meets the eye when it comes to choosing a city as a tourism destination. The purpose of this paper is to answer which are the characteristics that play a key role in room occupancy. Design/methodology/approach Diverse characteristics such as the city offer, demographics, natural amenities (e.g. number of beaches) and also politics (e.g. type of government) are combined into a decision tree model to unveil the relevance of each in determining room occupancy. The empirical experiments used data known in 2015 from 43 cities from Europe and the rest of the World to model room occupancy rate in 2016. Findings While the seasonality effect plays the most significant role, other less studied features such as the type of political party prior to current government were found to have an impact in room occupancy. Originality/value This study unveiled that center–right and right governments are generally more sensitive to promote its city as a tourism destination.
publishDate 2019
dc.date.none.fl_str_mv 2019-05-22T12:16:09Z
2019-01-01T00:00:00Z
2019
2019-05-22T13:15:00Z
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url http://hdl.handle.net/10071/18100
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2056-5607
10.1108/IJTC-08-2018-0063
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