Comparative analysis of inbound tourist flows of different groups: the case of Japan

Zeng, Bindan; Yu, Ting; He, Yinchun; Wang, Jinwei

doi:10.1080/13683500.2023.2301475

Current Issues in Tourism

2024

DOI: 10.1080/13683500.2023.2301475

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Comparative analysis of inbound tourist flows of different groups: the case of Japan

Bindan Zeng,

Ting Yu,

Yinchun He

et al.

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2024

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Cited by 2 publications

References 80 publications

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Evolution and influential factors of inbound tourist flow network in China: a two-mode network perspective

Shao,

Liu,

Zhao

et al. 2024

Current Issues in Tourism

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Evolution and influential factors of inbound tourist flow network in China: a two-mode network perspective

Shao,

Liu,

Zhao

et al. 2024

Current Issues in Tourism

View full text Add to dashboard Cite

Exploring Spatial Dynamics and Network Structures in Inbound Tourism Flow

Jin,

Zhang,

Huang

et al. 2024

International Journal of Distributed Systems and Technologies

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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.

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Comparative analysis of inbound tourist flows of different groups: the case of Japan

Cited by 2 publications

References 80 publications

Evolution and influential factors of inbound tourist flow network in China: a two-mode network perspective

Evolution and influential factors of inbound tourist flow network in China: a two-mode network perspective

Exploring Spatial Dynamics and Network Structures in Inbound Tourism Flow

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