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Spatial identification and optimization of tourism gaps in China's 5A scenic spots

文献类型：期刊论文

作者Bin, Zhang1,2; Zhong, Linsheng1,2
刊名APPLIED GEOGRAPHY
出版日期2026
卷号186页码:103863
关键词Scenic spot density Machine learning-based tourism development Two-step floating catchment area China
ISSN号0143-6228
DOI10.1016/j.apgeog.2025.103863
产权排序1
文献子类Article
英文摘要This study addresses the uneven spatial distribution of China's 5A scenic spots, proposing a comprehensive approach for identifying and optimizing tourism gaps. By examining the relationship between the supply capacity of scenic spots and societal population demand, spatial patterns of tourism opportunities were evaluated under multiple threshold distance scenarios to identify tourism gaps, which are areas where the current supply of 5A scenic spots fails to meet population demand. To optimize the spatial layout of tourism resources, four machine learning algorithms, including eXtreme Gradient Boosting (XGBoost), random forest (RF), logistic regression (LR), and support vector machine (SVM), are employed to construct a scenic spot location optimization framework, enabling spatial compensation and efficient resource allocation in gap areas. The study indicates that 60.22 % of regions in China show tourism gaps, 15.25 % of which are classified as triple tourism gap areas, meaning they lack tourism opportunities across all scenic spot types and are predominantly situated in the interior of the Qinghai-Tibet Plateau. In comparison to natural scenic spots, man-made and historical scenic spots exhibit more significant spatial disparities in tourism gaps. A decline in spatial unevenness of tourism opportunities across different threshold distances is observed in the optimized gap areas. By integrating machine learning to optimize the spatial layout of 5A scenic spots, this study provides scientific evidence and technical support for promoting regional coordinated development and achieving tourism spatial justice.
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WOS关键词MANAGEMENT
WOS研究方向Geography
语种英语
WOS记录号WOS:001638348900001
出版者ELSEVIER SCI LTD
源URL[http://ir.igsnrr.ac.cn/handle/311030/219757]  
专题区域可持续发展分析与模拟院重点实验室_外文论文
通讯作者Zhong, Linsheng
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, 11A Datun Rd, Beijing 100101, Peoples R China;
推荐引用方式
GB/T 7714		 Bin, Zhang,Zhong, Linsheng. Spatial identification and optimization of tourism gaps in China's 5A scenic spots[J]. APPLIED GEOGRAPHY,2026,186:103863.
APA Bin, Zhang,&Zhong, Linsheng.(2026).Spatial identification and optimization of tourism gaps in China's 5A scenic spots.APPLIED GEOGRAPHY,186,103863.
MLA Bin, Zhang,et al."Spatial identification and optimization of tourism gaps in China's 5A scenic spots".APPLIED GEOGRAPHY 186(2026):103863.

入库方式： OAI收割

来源：地理科学与资源研究所

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