Where to vacation? An agent-based approach to modelling tourist decision-making process

Detalhes bibliográficos
Autor(a) principal: Boavida-Portugal, Inês
Data de Publicação: 2015
Outros Autores: Ferreira, Carlos Manuel Batista Cardoso, Rocha, Jorge
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/88999
https://doi.org/10.1080/13683500.2015.1041880
Resumo: Agent-based models (ABMs) are becoming more relevant in social simulation due to the potential to model complex phenomena that emerge from individual interactions. In tourism research, complexity is a subject of growing interest and researchers start to analyse the tourism system as a complex phenomenon. However, there is little application of ABMs as a tool to explore and predict tourism patterns. The purpose of the paper is to develop an ABM that increases knowledge in tourism research by (i) considering the complexity of tourism phenomenon, (ii) providing tools to explore the complex relations between system components and (iii) giving insights on the functioning of the system and the tourist decision-making process. A theoretical ABM is developed to improve knowledge on tourist decision-making in the selection of a destination to vacation. Tourists’ behaviour, such as individual motivation, and social network influence in the vacation decision-making process are hereby discussed.
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spelling Where to vacation? An agent-based approach to modelling tourist decision-making processagent-based modelscomplexitytourism systemtourist behaviourdecision-making processsimulationAgent-based models (ABMs) are becoming more relevant in social simulation due to the potential to model complex phenomena that emerge from individual interactions. In tourism research, complexity is a subject of growing interest and researchers start to analyse the tourism system as a complex phenomenon. However, there is little application of ABMs as a tool to explore and predict tourism patterns. The purpose of the paper is to develop an ABM that increases knowledge in tourism research by (i) considering the complexity of tourism phenomenon, (ii) providing tools to explore the complex relations between system components and (iii) giving insights on the functioning of the system and the tourist decision-making process. A theoretical ABM is developed to improve knowledge on tourist decision-making in the selection of a destination to vacation. Tourists’ behaviour, such as individual motivation, and social network influence in the vacation decision-making process are hereby discussed.Taylor & Francis2015-05-26info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/88999http://hdl.handle.net/10316/88999https://doi.org/10.1080/13683500.2015.1041880eng1368-35001747-7603https://www.tandfonline.com/doi/full/10.1080/13683500.2015.1041880Boavida-Portugal, InêsFerreira, Carlos Manuel Batista CardosoRocha, Jorgeinfo: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:RCAAP2020-05-25T03:40:19Zoai:estudogeral.uc.pt:10316/88999Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:09:27.141416Repositório 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 Where to vacation? An agent-based approach to modelling tourist decision-making process
title Where to vacation? An agent-based approach to modelling tourist decision-making process
spellingShingle Where to vacation? An agent-based approach to modelling tourist decision-making process
Boavida-Portugal, Inês
agent-based models
complexity
tourism system
tourist behaviour
decision-making process
simulation
title_short Where to vacation? An agent-based approach to modelling tourist decision-making process
title_full Where to vacation? An agent-based approach to modelling tourist decision-making process
title_fullStr Where to vacation? An agent-based approach to modelling tourist decision-making process
title_full_unstemmed Where to vacation? An agent-based approach to modelling tourist decision-making process
title_sort Where to vacation? An agent-based approach to modelling tourist decision-making process
author Boavida-Portugal, Inês
author_facet Boavida-Portugal, Inês
Ferreira, Carlos Manuel Batista Cardoso
Rocha, Jorge
author_role author
author2 Ferreira, Carlos Manuel Batista Cardoso
Rocha, Jorge
author2_role author
author
dc.contributor.author.fl_str_mv Boavida-Portugal, Inês
Ferreira, Carlos Manuel Batista Cardoso
Rocha, Jorge
dc.subject.por.fl_str_mv agent-based models
complexity
tourism system
tourist behaviour
decision-making process
simulation
topic agent-based models
complexity
tourism system
tourist behaviour
decision-making process
simulation
description Agent-based models (ABMs) are becoming more relevant in social simulation due to the potential to model complex phenomena that emerge from individual interactions. In tourism research, complexity is a subject of growing interest and researchers start to analyse the tourism system as a complex phenomenon. However, there is little application of ABMs as a tool to explore and predict tourism patterns. The purpose of the paper is to develop an ABM that increases knowledge in tourism research by (i) considering the complexity of tourism phenomenon, (ii) providing tools to explore the complex relations between system components and (iii) giving insights on the functioning of the system and the tourist decision-making process. A theoretical ABM is developed to improve knowledge on tourist decision-making in the selection of a destination to vacation. Tourists’ behaviour, such as individual motivation, and social network influence in the vacation decision-making process are hereby discussed.
publishDate 2015
dc.date.none.fl_str_mv 2015-05-26
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/10316/88999
http://hdl.handle.net/10316/88999
https://doi.org/10.1080/13683500.2015.1041880
url http://hdl.handle.net/10316/88999
https://doi.org/10.1080/13683500.2015.1041880
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1368-3500
1747-7603
https://www.tandfonline.com/doi/full/10.1080/13683500.2015.1041880
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
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
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