Where to vacation? An agent-based approach to modelling tourist decision-making process
Autor(a) principal: | |
---|---|
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://hdl.handle.net/10451/36176 |
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. |
id |
RCAP_4874a85be0c39fca57b8295ee1844aad |
---|---|
oai_identifier_str |
oai:repositorio.ul.pt:10451/36176 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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 & FrancisRepositório da Universidade de LisboaFerreira, CarlosBoavida-Portugal, InêsRocha, Jorge2018-12-26T10:46:31Z20172017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/36176engBoavida-Portugal, I., Ferreira, C. C., Rocha, J. (2017). Where to vacation? An agent-based approach to modelling tourist decision-making process. Current Issues in Tourism 20(15), 1557–1574. https://doi.org/10.1080/13683500.2015.10418801368-350010.1080/13683500.2015.1041880info: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:RCAAP2023-11-08T16:32:38Zoai:repositorio.ul.pt:10451/36176Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:50:28.993644Repositório 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 Ferreira, Carlos 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 |
Ferreira, Carlos |
author_facet |
Ferreira, Carlos Boavida-Portugal, Inês Rocha, Jorge |
author_role |
author |
author2 |
Boavida-Portugal, Inês Rocha, Jorge |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Ferreira, Carlos Boavida-Portugal, Inês 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 |
2017 |
dc.date.none.fl_str_mv |
2017 2017-01-01T00:00:00Z 2018-12-26T10:46:31Z |
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/10451/36176 |
url |
http://hdl.handle.net/10451/36176 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Boavida-Portugal, I., Ferreira, C. C., Rocha, J. (2017). Where to vacation? An agent-based approach to modelling tourist decision-making process. Current Issues in Tourism 20(15), 1557–1574. https://doi.org/10.1080/13683500.2015.1041880 1368-3500 10.1080/13683500.2015.1041880 |
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.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 |
|
_version_ |
1799134439276544000 |