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<p>Nowadays, tourism practices face increasingly intensified flows of people, making it imperative to explore the tourism space through the lens of mobility. To examine nationwide tourist mobility, this study collected online travel blog data from Qunar.com, a leading travel services platform in China, to construct tourist mobility networks across China. In these networks, attractions are represented as nodes, while tourist movements between them, derived from blog data, are represented as weighted and directed edges. To capture different travel contexts, the study also develops mobility networks categorized by departure season and travel partners. All networks are released in a simple, accessible format to support future research.</p>

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A dataset of tourist mobility networks across China derived from online travel blogs

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年2月13日

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  • Yunhao Zheng,
  • Jinhua Wang,
  • Yi Zhang,
  • Naixia Mou,
  • Yu Liu

摘要

Nowadays, tourism practices face increasingly intensified flows of people, making it imperative to explore the tourism space through the lens of mobility. To examine nationwide tourist mobility, this study collected online travel blog data from Qunar.com, a leading travel services platform in China, to construct tourist mobility networks across China. In these networks, attractions are represented as nodes, while tourist movements between them, derived from blog data, are represented as weighted and directed edges. To capture different travel contexts, the study also develops mobility networks categorized by departure season and travel partners. All networks are released in a simple, accessible format to support future research.