Exploring Spatial Dynamics and Network Structures in Inbound Tourism Flow

Yang Jin, Mingkan Zhang, Yan Huang, Yang Song, Xi Chen and Huihui Jin
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Yang Jin: Zhejiang University of Technology, China
Mingkan Zhang: Zhejiang University of Technology, China
Yan Huang: Zhejiang University of Technology, China
Yang Song: Zhejiang University of Technology, China
Xi Chen: Zhejiang Agriculture and Forestry University, China
Huihui Jin: Zhengzhou Tourism Vocational College School of Tourism Management, China

International Journal of Distributed Systems and Technologies (IJDST), 2024, vol. 15, issue 1, 1-20

Abstract: Drawing on the theoretical frameworks of structural functionalism and relational research perspectives, this study meticulously constructs and analyzes China's inbound tourism flow network spanning the years 2001 to 2023. Employing a diverse array of analytical tools such as the small-world model, rank-size model, structural equivalence model, core-periphery model, and various centrality metrics, the research delves into the structural characteristics and evolution patterns of China's inbound tourism flow network within a comprehensive spatial-temporal framework. Key findings include: 1) Small-world and scale-free properties with tourist flows concentrated in pivotal provinces. 2) Persistence of a U-shaped pattern in inbound tourism, with robust activity in eastern and western regions. 3) Presence of a core-periphery structure, with Beijing, Shanghai, and Guangdong as national hubs. This research enhances understanding of tourism industry spatial organization, offering insights for policymakers and stakeholders in tourism development.

Date: 2024
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