Optimization of Urban Tourism Cooperation Network in Fujian Province Based on Baidu Migration Index

Ming Zhao; Qiaofeng Zhang; Jianghui Lin

doi:10.2991/978-94-6239-787-3_30

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Optimization of Urban Tourism Cooperation Network in Fujian Province Based on Baidu Migration Index

Authors

Ming Zhao¹^{, *}, Qiaofeng Zhang¹, Jianghui Lin²

¹Minjiang University School of Economics and Management, Fuzhou, 350000, China

²Minjiang University New Huadu Business School, Fuzhou, 350000, China

^*Corresponding author. Email: zhaoming1028@163.com

Corresponding Author

Ming Zhao

Available Online 29 September 2026.

DOI: 10.2991/978-94-6239-787-3_30 How to use a DOI?
Keywords: Fujian Province; Baidu Migration Index; Tourism Cooperation Network; Social Network Analysis
Abstract: This study constructs a directed tourism flow network among nine Fujian cities using Baidu Migration big data from Spring Festival, May Day, and National Day Golden Weeks from 2023 to 2025, plus Spring Festival and May Day 2026. Social network analysis examines overall characteristics, nodal features, and temporal variations. Results reveal low network density (0.292) with a “strong core–weak periphery” structure, where Fuzhou, Xiamen, and Quanzhou form the core triangle. Betweenness centrality is highly concentrated in Fuzhou (66.07%). Node roles diverge: Fuzhou acts as a radiation hub, whereas Xiamen serves as an attraction pole. Temporally, Spring Festival shows “core agglomeration,” while May Day and National Day exhibit “core diffusion.” Recommendations include hierarchical guidance, directional capacity allocation, and strengthening mountain–sea tourism alliances to support Fujian’s development as a world-renowned destination.
Copyright: © 2026 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 2026 4th International Conference on Management Innovation and Economy Development (MIED 2026)
Series: Advances in Economics, Business and Management Research
Publication Date: 29 September 2026
ISBN: 978-94-6239-787-3
ISSN: 2352-5428
DOI: 10.2991/978-94-6239-787-3_30 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Ming Zhao
AU  - Qiaofeng Zhang
AU  - Jianghui Lin
PY  - 2026
DA  - 2026/09/29
TI  - Optimization of Urban Tourism Cooperation Network in Fujian Province Based on Baidu Migration Index
BT  - Proceedings of the 2026 4th International Conference on Management Innovation and Economy Development (MIED 2026)
PB  - Atlantis Press
SP  - 290
EP  - 298
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-787-3_30
DO  - 10.2991/978-94-6239-787-3_30
ID  - Zhao2026
ER  -

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