Distribution Characteristics and Influencing Factors Analysis of China's 5A-Level Scenic Spots

Liying Mo, Shanshan Hu, Wenqi Cai, Yu Zhong

Article ID: 2465
Vol 6, Issue 2, 2023

VIEWS - 675 (Abstract) 37 (PDF)

Abstract


Based on the research on 31 provincial-level administrative regions at the end of 2022, we used the geographic concentration index, geographic imbalance index, SPSS and ARCGIS spatial analysis techniques to study the spatial distribution, distribution factor correlation, and accessibility of national 5A-level scenic spots. The research results show that the overall distribution of my country's 5A-level scenic spots is unbalanced, with a low degree of concentration, showing a pattern of denseness in the east and sparseness in the west, with large inter-provincial differences. The density of traffic highways is positively correlated with the distribution density of 5A-level scenic spots. The traffic lines in the central and eastern regions are dense, and there are a large number of 5A-level scenic spots, especially the Beijing-Tianjin-Hebei region, the Yangtze River Delta region, and the middle and lower reaches of the Yangtze River and Yellow River. Therefore, the spatial distribution of China's 5A-level tourist attractions is mainly affected by the interaction of economic, transportation and social factors, among which GDP, transportation network and attraction of scenic spots are the most critical factors. These research results can provide a reference for optimizing the spatial layout of China's scenic resources and promoting regional socio-economic development.


Keywords


5A-Level Scenic Spots; Distribution Characteristics; Multi-Scale; Influencing Factors

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References


1. Wang F. Research on the Network Spatial Pattern of Tourism Information Flow of 5A Scenic Spots in Mainland China Based on Baidu Index [D]. Nanjing Normal University, 2015.

2. Duan QL, Xue MY. Research on the spatio-temporal distribution of 5A tourist attractions in my country [J]. Journal of Mianyang Normal University, 2019, 38(08): 122-127.




DOI: https://doi.org/10.24294/ijmss.v6i2.2465

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