Spatial Distribution Pattern and Driving Forces of the A-Level Tourist Attractions in China Based on Geo-Detector

作者：Huimin Yang, Wang Yifei, Siyi Chen, Qing Luo, Xiaojian Li · 发表于：Journal of Resources and Ecology · 年份：2025 · DOI：10.5814/j.issn.1674-764x.2025.05.024 · 被引用次数：1 · 研究领域：Diverse Aspects of Tourism Research、Urban Transport and Accessibility、Cruise Tourism Development and Management

The A-level tourist attractions are an important carrier for the development of the tourism industry. As the most fundamental tourism supply, studying their spatial distribution pattern and driving forces is of great significance for promoting the process of regional tourism industrialization. This study used the tourism resource abundance index, nearest neighbor distance index, and geographic detector model to study the spatial characteristics and driving forces of A-level tourist attractions in China. The results showed that the A-level tourist attractions in China exhibit significant spatial clustering, but there are significant regional differences. They are mainly distributed on the southeastern side of the Hu Huanyong Line. Overall, the average of tourism resource abundance index is 71.74. The proportion of cities above that average is relatively low, and they form local high-value clustering areas mainly in the Beijing-Tianjin-Hebei urban agglomeration, Yangtze River Delta, and Chengdu-Chongqing regions. The spatial distribution patterns of various types of scenic spots also exhibit agglomeration characteristics, but their agglomeration scales and spatial patterns exhibit obvious regional differences. The spatial distribution pattern of A-level tourist attractions in China is a result of the combined effect of regional socio-economic factors and scenic environmental factors. Among them, the explanatory power of regional socio-economic factors is stronger than that of s...