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

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  • Yuewei Wang

    (School of Business, Liaoning University, Shenyang 110036, China)

  • Hang Chen

    (School of Tourism Management, Shenyang Normal University, Shenyang 110034, China)

  • Xinyang Wu

    (School of Economics and Management, Northwest University, Xi’an 710127, China)

Abstract

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.

Suggested Citation

  • Yuewei Wang & Hang Chen & Xinyang Wu, 2021. "Spatial Structure Characteristics of Tourist Attraction Cooperation Networks in the Yangtze River Delta Based on Tourism Flow," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:12036-:d:669331
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    References listed on IDEAS

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    Cited by:

    1. Yuewei Wang & Cong Lu & Hang Chen & Yuyan Zhao, 2022. "Evaluation and Spatial Characteristics of Cooperation among Tourist Attractions Based on a Geographic Information System: A Case Study of The Yangtze River Delta Region, China," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
    2. Géza Tóth & Áron Kincses, 2022. "(In)Visible Tourism According to Online Cash Registers in Hungary, 2018–2020," Sustainability, MDPI, vol. 14(5), pages 1-15, March.
    3. Hee-ju Kwon, 2022. "A New Trend of Tourism in the Post-COVID-19 Era: Big Data Analysis of Online Tours in Korea," Social Sciences, MDPI, vol. 11(12), pages 1-16, December.
    4. Yuewei Wang & Mengmeng Xi & Hang Chen & Cong Lu, 2022. "Evolution and Driving Mechanism of Tourism Flow Networks in the Yangtze River Delta Urban Agglomeration Based on Social Network Analysis and Geographic Information System: A Double-Network Perspective," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
    5. Xinyang Wu & Chuying Chen, 2022. "Spatial Distribution and Accessibility of High Level Scenic Spots in Inner Mongolia," Sustainability, MDPI, vol. 14(12), pages 1-13, June.
    6. Chun-Wei Chen & Neng-Tang Huang & Hsien-Sheng Hsiao, 2022. "The Construction and Application of E-Learning Curricula Evaluation Metrics for Competency-Based Teacher Professional Development," Sustainability, MDPI, vol. 14(14), pages 1-22, July.
    7. Gangmin Weng & Hongyan Li & Yan Li, 2023. "The temporal and spatial distribution characteristics and influencing factors of tourist attractions in Chengdu-Chongqing economic circle," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8677-8698, August.
    8. Yuewei Wang & Xinyang Wu & Zhizheng Liu & Hang Chen & Yuyan Zhao, 2022. "Spatial Patterns of Tourist Attractions in the Yangtze River Delta Region," Land, MDPI, vol. 11(9), pages 1-22, September.

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