Author
Listed:
- Qian Wang
(School of History and Culture, Gansu Minzu Normal University, Hezuo 747000, China
School of Geography and Environment, Liaocheng University, Liaocheng 252059, China)
- Chuan-Hao Yang
(School of History and Culture, Gansu Minzu Normal University, Hezuo 747000, China
School of Artificial Intelligence, China University of Geosciences (Beijing), Beijing 100083, China)
- Di-Chen Zhao
(School of History and Culture, Gansu Minzu Normal University, Hezuo 747000, China)
- Qi-Peng Zhang
(School of History and Culture, Gansu Minzu Normal University, Hezuo 747000, China
School of Geography and Environment, Liaocheng University, Liaocheng 252059, China)
Abstract
Educational tourism serves as a vital avenue for enhancing students’ practical skills and knowledge acquisition. As key components of educational tourism, the spatial distribution and accessibility of educational tourism bases significantly influence the effectiveness of study tour programs. Here, we employed stepwise regression analysis and geographically weighted regression (GWR) to analyze the spatial distribution characteristics, accessibility, and driving factors of educational tourism bases along the Yellow River region. The results indicate that museums accounted for the greatest proportion at 25.14% of the nine types of educational tourism bases. The educational tourism bases show a pattern of “dense in the southeast and sparse in the northwest.” Furthermore, they demonstrate clustered distributions centered around provincial capitals. The key factors influencing the distribution of educational tourism bases, ranked from highest to lowest based on the absolute value of the GWR coefficient, are as follows: 4A and above scenic spots > urbanization rate > internet broadband users > length of classified roads > education expenditure. The accessibility of educational tourism bases is basically consistent in terms of time and spatial distance, both showing better accessibility in the southeast than in the northwest. However, where Sichuan Province and Gansu Province meet, time accessibility is better, while distance accessibility is worse. These findings provide valuable insights for promoting the sustainable development of educational tourism in the Yellow River region.
Suggested Citation
Qian Wang & Chuan-Hao Yang & Di-Chen Zhao & Qi-Peng Zhang, 2025.
"Spatial Distribution Characteristics and Accessibility of Educational Tourism Along the Yellow River Region from the Perspective of Sustainable Development,"
Sustainability, MDPI, vol. 17(18), pages 1-19, September.
Handle:
RePEc:gam:jsusta:v:17:y:2025:i:18:p:8095-:d:1745286
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