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

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.

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Publication Details

Journal
Scientific Data
Published
2026-02-13
DOI
https://doi.org/10.1038/s41597-026-06780-9
Primary Topic
Diverse Aspects of Tourism Research
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Yunhao Zheng, Y Zhang, Naixia Mou, Jinhua Wang et al.
Scientific Data
Diverse Aspects of Tourism Research
article

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

Yunhao Zheng, Y Zhang, Naixia Mou, Jinhua Wang, Yu Liu
article en

Abstract

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.

Scientific DataVol. 13(1)
Peking University (CN), Southwest Forestry University (CN), Shandong University of Science and Technology (CN)
National Natural Science Foundation of China
Decent work and economic growth
Openalex Percentile: Top 62%
Diverse Aspects of Tourism Research
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A dataset of tourist mobility networks across China derived from online travel blogs — Yunhao Zheng, Y Zhang, et al. · Scientific Data (2026) | TGRS Research Map | TGRS