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Research on the Spatiotemporal Heterogeneity of A-Level Scenic Spots in the Yangtze River Delta Urban Agglomeration(PDF)

《南京师大学报(自然科学版)》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2024年03期
Page:
53-62
Research Field:
地理学
Publishing date:

Info

Title:
Research on the Spatiotemporal Heterogeneity of A-Level Scenic Spots in the Yangtze River Delta Urban Agglomeration
Author(s):
Chen Lingling1Lyu Ning2Tang Shu1
(1.College of Humanities,Jinling Institute of Technology,Nanjing 211169,China)
(2.School of Tourism Science,Beijing International Studies University,Beijing 100024,China)
Keywords:
the Yangtze River Delta(YRD)urban agglomerationA-level scenic spotspatiotemporal heterogeneityscalegeographically weighted regression(GWR)model
PACS:
F592
DOI:
10.3969/j.issn.1001-4616.2024.03.007
Abstract:
The research on the evolution of A-level scenic spots in urban agglomeration is of great importance for promoting the full and balanced development of regional tourism. Based on the reality of multi-scale destinations,multi-level scenic spots and spatial instability,the spatiotemporal heterogeneity of A-level scenic spots in the Yangtze River Delta(YRD)urban agglomeration and their influencing factors are studied using a variety of spatial analysis methods. The results show that:(1)From 2001 to 2021,3A and 4A were the main structural body in the development of A-level scenic spots in the YRD urban agglomeration. Scenic spots at all levels in Shanghai,Hangzhou,Huzhou,Nanjing,Anqing,Jinhua,Wenzhou and Taizhou were well-developed.(2)A-level scenic spots in the YRD urban agglomeration showed significant spatial agglomeration characteristics,and gradually formed a high-density scenic belt structure like Chinese character “Ji”. The radiation range of scenic spots at all levels has been expanding,forming a southeast-northwest distribution pattern. At the urban scale,scenic spots at all levels tended to be evenly distributed.(3)Until 2019,the factors affecting the spatial distribution of A-level scenic spots included tourism resources,tourism demand,transportation to tourist destinations,and socioeconomic conditions. Both the influencing degree and the spatial heterogeneity of each factor changed with time.

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Last Update: 2024-09-15