Structure and driving factors of tourism information flow networks within urban agglomerations: A case study of six major coastal urban agglomerations in eastern China
[Objective] Tourism information flow plays a strong guiding role in tourist behavior. Research on the tourism information flow networks within urban agglomerations is crucial for the development of regional tourism in the era of digital economy. [Methods] Using big data analysis from Baidu Index and...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Science Press, PR China
2025-05-01
|
| Series: | Ziyuan Kexue |
| Subjects: | |
| Online Access: | https://www.resci.cn/fileup/1007-7588/PDF/1750127054962-1363774114.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | [Objective] Tourism information flow plays a strong guiding role in tourist behavior. Research on the tourism information flow networks within urban agglomerations is crucial for the development of regional tourism in the era of digital economy. [Methods] Using big data analysis from Baidu Index and social network analysis (SNA) method, six urban agglomerations in the east coast of China were taken as examples. Their characteristics and patterns of tourism information flow from 2012 to 2022 were explored, and the driving factors of these networks were further analyzed. [Results] (1) Distinct spatial differentiation was observed in the field strength of tourism information flow within urban agglomerations. Cities with higher development levels exhibited greater agglomeration field strengths, while those rich in tourism resources demonstrated larger diffusion field strengths. (2) The temporal variations of tourism information flow volume within urban agglomerations generally exhibited three stages: rapid growth, slow growth, and rapid decline. The outflow of tourism information within the urban agglomerations was relatively dispersed, while the inflow of tourism information was relatively concentrated. The direction of tourism information flow primarily manifested as a large amount of tourism information flowing from cities within the agglomeration to a few core cities, including provincial capitals. (3) The tourism information flow networks within urban agglomerations mainly exhibited a dual-center axial network or a multi-center radial structure centered on provincial capitals and economically robust cities. Moreover, tourism information flows within urban agglomerations were characterized by short-distance mobility with high fluidity, demonstrating significant regional network clustering effects. (4) The structure of tourism information flow networks within urban agglomerations was greatly influenced by factors such as economic development level, population factors, degree of informatization, tourism and public service level, and psychological distance. [Conclusion] In the context of informatization and digital economy, it is imperative to facilitate the spatial flow and spillover effects of tourism information to drive the upgrading and transformation of regional tourism, thereby achieving the synergistic, complementary, and integrated development of regional tourism. |
|---|---|
| ISSN: | 1007-7588 |