Spatial Structure Characteristics of Tourist Attraction Cooperation Networks in the Yangtze River Delta Based on Tourism Flow

This study aimed to examine the spatial structure of the tourist attraction cooperation network in the Yangtze River Delta, from the perspective of tourist flow. This study conducted spatial and social network analyses of 470 popular tourist attractions in the Yangtze River Delta region of China, ac...

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Autores principales:	Yuewei Wang, Hang Chen, Xinyang Wu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	tourist attraction cooperation network analysis tourist flow Yangtze River Delta Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/f011d744291345cfb55812ebba16c208
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spelling	oai:doaj.org-article:f011d744291345cfb55812ebba16c2082021-11-11T19:41:48ZSpatial Structure Characteristics of Tourist Attraction Cooperation Networks in the Yangtze River Delta Based on Tourism Flow10.3390/su1321120362071-1050https://doaj.org/article/f011d744291345cfb55812ebba16c2082021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/12036https://doaj.org/toc/2071-1050This study aimed to examine the spatial structure of the tourist attraction cooperation network in the Yangtze River Delta, from the perspective of tourist flow. This study conducted spatial and social network analyses of 470 popular tourist attractions in the Yangtze River Delta region of China, accounting for the occurrence and co-occurrence of tourist attraction information in tourist travel notes. The analyzed tourist attractions show an obvious spatial agglomeration effect, including four high-density agglomeration areas and two medium-density agglomeration areas. Degree centrality, closeness centrality, and betweenness centrality were used to examine the tourism function, distribution function, and connection function of nodes in the network; nodes were divided into various types of roles according to their function. There are eight condensed subgroups, but their scales are unbalanced. In these condensed subgroups, several tourist attractions with an intermediate function can be selected as transit and stopover points on tourist routes. This study can contribute to the understanding of tourists’ spatial behavior, clarify the role and status of nodes in the cooperation network of tourist attractions based on tourism flow, and help them to formulate measures for the joint marketing of tourist attractions, and promote the development of tourism in the Yangtze River Delta region.Yuewei WangHang ChenXinyang WuMDPI AGarticletourist attraction cooperationnetwork analysistourist flowYangtze River DeltaEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12036, p 12036 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	tourist attraction cooperation network analysis tourist flow Yangtze River Delta Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	tourist attraction cooperation network analysis tourist flow Yangtze River Delta Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Yuewei Wang Hang Chen Xinyang Wu Spatial Structure Characteristics of Tourist Attraction Cooperation Networks in the Yangtze River Delta Based on Tourism Flow
description	This study aimed to examine the spatial structure of the tourist attraction cooperation network in the Yangtze River Delta, from the perspective of tourist flow. This study conducted spatial and social network analyses of 470 popular tourist attractions in the Yangtze River Delta region of China, accounting for the occurrence and co-occurrence of tourist attraction information in tourist travel notes. The analyzed tourist attractions show an obvious spatial agglomeration effect, including four high-density agglomeration areas and two medium-density agglomeration areas. Degree centrality, closeness centrality, and betweenness centrality were used to examine the tourism function, distribution function, and connection function of nodes in the network; nodes were divided into various types of roles according to their function. There are eight condensed subgroups, but their scales are unbalanced. In these condensed subgroups, several tourist attractions with an intermediate function can be selected as transit and stopover points on tourist routes. This study can contribute to the understanding of tourists’ spatial behavior, clarify the role and status of nodes in the cooperation network of tourist attractions based on tourism flow, and help them to formulate measures for the joint marketing of tourist attractions, and promote the development of tourism in the Yangtze River Delta region.
format	article
author	Yuewei Wang Hang Chen Xinyang Wu
author_facet	Yuewei Wang Hang Chen Xinyang Wu
author_sort	Yuewei Wang
title	Spatial Structure Characteristics of Tourist Attraction Cooperation Networks in the Yangtze River Delta Based on Tourism Flow
title_short	Spatial Structure Characteristics of Tourist Attraction Cooperation Networks in the Yangtze River Delta Based on Tourism Flow
title_full	Spatial Structure Characteristics of Tourist Attraction Cooperation Networks in the Yangtze River Delta Based on Tourism Flow
title_fullStr	Spatial Structure Characteristics of Tourist Attraction Cooperation Networks in the Yangtze River Delta Based on Tourism Flow
title_full_unstemmed	Spatial Structure Characteristics of Tourist Attraction Cooperation Networks in the Yangtze River Delta Based on Tourism Flow
title_sort	spatial structure characteristics of tourist attraction cooperation networks in the yangtze river delta based on tourism flow
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/f011d744291345cfb55812ebba16c208
work_keys_str_mv	AT yueweiwang spatialstructurecharacteristicsoftouristattractioncooperationnetworksintheyangtzeriverdeltabasedontourismflow AT hangchen spatialstructurecharacteristicsoftouristattractioncooperationnetworksintheyangtzeriverdeltabasedontourismflow AT xinyangwu spatialstructurecharacteristicsoftouristattractioncooperationnetworksintheyangtzeriverdeltabasedontourismflow
_version_	1718431503109586944

Spatial Structure Characteristics of Tourist Attraction Cooperation Networks in the Yangtze River Delta Based on Tourism Flow

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