Work

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

Year: 2026

Type: data-paper

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.

Source: Scientific Data

DOI: 10.1038/s41597-026-06780-9

Authors: Yunhao Zheng, Jinhua Wang, Yi Zhang, Naixia Mou, Yu Liu

Institutions: Peking University, Shandong University of Science and Technology

Language: English

Topic: Human Mobility and Location-Based Analysis

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDG: Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $2,490