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作 者:陈玲玲[1] 吕宁[2] 汤澍[1] Chen Lingling;Lyu Ning;Tang Shu(College of Humanities,Jinling Institute of Technology,Nanjing 211169,China;School of Tourism Science,Beijing International Studies University,Beijing 100024,China)
机构地区:[1]金陵科技学院人文学院,江苏南京211169 [2]北京第二外国语学院旅游科学学院,北京100024
出 处:《南京师大学报(自然科学版)》2024年第3期53-62,共10页Journal of Nanjing Normal University(Natural Science Edition)
基 金:教育部人文社会科学青年基金项目(18YJCZH012);江苏高校“青蓝工程”中青年学术带头人培养项目(2022-2025);金陵科技学院“学术拔尖人才培养工程”项目(2020-2023).
摘 要:城市群A级旅游景区演化研究对促进区域旅游业平衡充分发展具有重要价值.基于目的地多尺度、景区多等级及空间非稳定现实,运用多种空间分析方法,对长三角城市群A级旅游景区及影响因素的时空异质性进行研究.结果表明:(1)2001-2021年,3A、4A是长三角城市群A级旅游景区结构主体;上海、杭州、湖州、南京、安庆、金华、温州和台州的各级景区发展均较好.(2)长三角城市群A级旅游景区空间分布集聚性显著,逐渐形成“几”字形高密度景区带结构;各等级景区辐射范围不断扩大,形成东南-西北方向分布格局;城市尺度上,各等级景区都趋于均匀分布.(3)至2019年,影响A级旅游景区空间分布的因素包括旅游资源、旅游需求、旅游地交通及社会经济条件.各个因素的影响程度及其在空间上的异质性均随时间变化而变化.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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