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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

Author

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  • Yuewei Wang

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

  • Mengmeng Xi

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

  • Hang Chen

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

  • Cong Lu

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

Abstract

This study’s purpose was to analyze the network structural characteristics, nodal roles, spatial structure, and evolution laws from the dual network perspective, and apply the Quadratic Assignment Procedure (QAP) to conduct correlation analysis and regression analysis on the influencing factors of tourism flow networks in the Yangtze River Delta urban agglomerations. Using a mixed-method of social network and spatial analysis, Ucinet and ArcGIS software were used to comprehensively analyze the nodes in the travel routes covered in travel notes. The results show that the density of tourism flow network increases on the whole, while the spatial difference decreases, and the overall network density value is much lower than the average of the network density of provinces. Degree centrality, closeness centrality, betweenness centrality and the core–periphery structure analysis were used to examine the tourism function, distribution function, connection function and the position of nodes in the network, and nodes were divided into various types of roles according to their function. Meanwhile, the role changes of each node in different periods were also investigated. This study also builds an evaluation model of the influencing factors of the evolution of tourism flow network structure and uses QAP to find that the tourism network is affected by factors such as tourism resource endowment, transportation convenience, economic development level, tourism reception and service capacity. The research results are helpful for the Chinese government and tourism enterprises to understand the spatial behavior of tourists and its evolution rules, and to clarify the role and status of node cities in the tourism flow network and their influencing factors. It is of great significance for the formulation of joint marketing measures and promotion of the sustainable development of tourism in the Yangtze River Delta urban agglomeration.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7656-:d:845862
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    References listed on IDEAS

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    1. Jun Yang & Andong Guo & Xueming Li & Tai Huang, 2018. "Study of the Impact of a High-Speed Railway Opening on China’s Accessibility Pattern and Spatial Equality," Sustainability, MDPI, vol. 10(8), pages 1-13, August.
    2. 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.
    3. William Simpson, 2001. "The Quadratic Assignment Procedure (QAP)," North American Stata Users' Group Meetings 2001 1.2, Stata Users Group.
    4. Liu, Bing & Huang, Songshan (Sam) & Fu, Hui, 2017. "An application of network analysis on tourist attractions: The case of Xinjiang, China," Tourism Management, Elsevier, vol. 58(C), pages 132-141.
    5. Yue Fu & Long Xue & Yixin Yan & Yao Pan & Xiaofang Wu & Ying Shao, 2021. "Energy Network Embodied in Trade along the Belt and Road: Spatiotemporal Evolution and Influencing Factors," Sustainability, MDPI, vol. 13(19), pages 1-29, September.
    6. Shanshan Wu & Lucang Wang & Haiyang Liu, 2021. "Study on Tourism Flow Network Patterns on May Day Holiday," Sustainability, MDPI, vol. 13(2), pages 1-23, January.
    7. Hwayoon Seok & George A. Barnett & Yoonjae Nam, 2021. "A social network analysis of international tourism flow," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(2), pages 419-439, April.
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    7. Yajun Cao & Jianguo Liu, 2022. "The Spatial Spillover Effect and Its Impact on Tourism Development in a Megacity in China," Sustainability, MDPI, vol. 14(15), pages 1-18, July.

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