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Global tourist flows under the Belt and Road Initiative: A complex network analysis

This study applies complex network analysis to examine global tourist flows network in the context of Belt and Road Initiative (BRI). Using tourist flows data between 221 countries/regions over 1995–2018, we investigate the nature and development patterns of structural properties of global network a...

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Detalles Bibliográficos
Autores principales: Shymanskyi, Oleksandr, Wang, Jue, Pu, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9380932/
https://www.ncbi.nlm.nih.gov/pubmed/35972949
http://dx.doi.org/10.1371/journal.pone.0272964
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author Shymanskyi, Oleksandr
Wang, Jue
Pu, Yue
author_facet Shymanskyi, Oleksandr
Wang, Jue
Pu, Yue
author_sort Shymanskyi, Oleksandr
collection PubMed
description This study applies complex network analysis to examine global tourist flows network in the context of Belt and Road Initiative (BRI). Using tourist flows data between 221 countries/regions over 1995–2018, we investigate the nature and development patterns of structural properties of global network as well as factors influencing its formation. The descriptive analysis indicates that global tourist network was a sparse network with small world network characteristics. According to centrality characteristics, China showed the most influence in the BRI group, while Germany and the United States possessed key roles among non-BRI countries/regions. Exploratory analysis demonstrated significant influence of gravity variables in global, BRI and non-BRI tourist networks. This research advances existing tourism theory and provides practical implications for policymakers.
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spelling pubmed-93809322022-08-17 Global tourist flows under the Belt and Road Initiative: A complex network analysis Shymanskyi, Oleksandr Wang, Jue Pu, Yue PLoS One Research Article This study applies complex network analysis to examine global tourist flows network in the context of Belt and Road Initiative (BRI). Using tourist flows data between 221 countries/regions over 1995–2018, we investigate the nature and development patterns of structural properties of global network as well as factors influencing its formation. The descriptive analysis indicates that global tourist network was a sparse network with small world network characteristics. According to centrality characteristics, China showed the most influence in the BRI group, while Germany and the United States possessed key roles among non-BRI countries/regions. Exploratory analysis demonstrated significant influence of gravity variables in global, BRI and non-BRI tourist networks. This research advances existing tourism theory and provides practical implications for policymakers. Public Library of Science 2022-08-16 /pmc/articles/PMC9380932/ /pubmed/35972949 http://dx.doi.org/10.1371/journal.pone.0272964 Text en © 2022 Shymanskyi et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Shymanskyi, Oleksandr
Wang, Jue
Pu, Yue
Global tourist flows under the Belt and Road Initiative: A complex network analysis
title Global tourist flows under the Belt and Road Initiative: A complex network analysis
title_full Global tourist flows under the Belt and Road Initiative: A complex network analysis
title_fullStr Global tourist flows under the Belt and Road Initiative: A complex network analysis
title_full_unstemmed Global tourist flows under the Belt and Road Initiative: A complex network analysis
title_short Global tourist flows under the Belt and Road Initiative: A complex network analysis
title_sort global tourist flows under the belt and road initiative: a complex network analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9380932/
https://www.ncbi.nlm.nih.gov/pubmed/35972949
http://dx.doi.org/10.1371/journal.pone.0272964
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