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

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Authors: Yunhao Zheng, Jinhua Wang, Y Zhang, Naixia Mou, Yu Liu
Cited by: 2
References: 28

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.

Fields of Study & Subjects

Diverse Aspects of Tourism Research Digital Marketing and Social Media Complex Network Analysis Techniques

Publication details

Journal / source
Scientific Data
Publisher
Springer Science and Business Media LLC
Volume
13
Issue
1
Publication date
13 February 2026
Language
EN