Understanding attractions’ connection patterns based on intra-destination tourist mobility: A network motif approach

Ding Ding, Yunhao Zheng, Yi Zhang () and Yu Liu
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Ding Ding: Peking University
Yunhao Zheng: Peking University
Yi Zhang: Peking University
Yu Liu: Peking University

Palgrave Communications, 2024, vol. 11, issue 1, 1-12

Abstract: Abstract Tourist movement patterns among attractions are complex and variable, and understanding such patterns can help manage tourist destinations more effectively. However, previous studies on tourist movement utilising complex networks have not explored the network motif approach comprehensively. Therefore, we adopted a network motif approach using social media data to extract and analyse motifs in a city network. This study analyses the attractions corresponding to the nodes in each motif, revealing the connection patterns between these attractions. We also discuss motifs between attractions with different types and titles. Popular attractions play a significant role in a local network while other attractions serve distinct functions within the network. This study’s findings enhance the significance of network motifs in examining tourist movement and deepen the understanding of recurring movement patterns between attractions. Moreover, they assist managers in developing policy tools for intelligent tourism destination marketing and planning that cater to tourists’ needs.

Date: 2024
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DOI: 10.1057/s41599-024-03093-3

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