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Multilevel understanding dynamic changes in inbound tourist flow network (ITFN) structure: topology, collaboration, and competitiveness

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  • He Zhu

Abstract

The network theory is having an important role in tourism research, which provides a useful lens for understanding the structures and interrelations among tourism destinations. This paper analyzes the structure of China’s inbound tourist flow network (ITFN) in a dynamic view, from three levels: the global, the meso, and the individual, meanwhile the correlation between network structure and tourism performance is verified. The interpretation of ITFN structure has been divided into three meanings: the global-level metrics identify the holistic topology, the meso-level metrics are used to understand collaboration, and the individual-level metrics work for competitiveness assessing. China’s case shows the ITFN has a small-world characteristic but gradually becomes weak, the collaboration clusters become more, and the difference of competitiveness among regions has amplified. Moreover, the small-world nature and individual competitiveness have positive impacts on tourism performance, but the correlation between performance and clustering coefficient is significantly negative.

Suggested Citation

  • He Zhu, 2021. "Multilevel understanding dynamic changes in inbound tourist flow network (ITFN) structure: topology, collaboration, and competitiveness," Current Issues in Tourism, Taylor & Francis Journals, vol. 24(14), pages 2059-2077, July.
    • Handle: RePEc:taf:rcitxx:v:24:y:2021:i:14:p:2059-2077
    DOI: 10.1080/13683500.2020.1842341
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    Cited by:

    1. Xin Wen & Dongxue Fu & You Diao & Binyan Wang & Xiaofeng Gao & Min Jiang, 2023. "Exploring the Relationship between Touristification and Commercial Gentrification from the Perspective of Tourist Flow Networks: A Case Study of Yuzhong District, Chongqing," Sustainability, MDPI, vol. 15(16), pages 1-15, August.

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