Exploring Spatial Dynamics and Network Structures in Inbound Tourism Flow

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.