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作 者:胡炜霞[1,2] 耿梦杰 HU Weixia;GENG Mengjie(School of History and Cultural Tourism,Shanxi Normal University,Taiyuan 030000,China;School of Geographical Sciences,Shanxi Normal University,Taiyuan 030000,China)
机构地区:[1]山西师范大学历史与旅游文化学院,山西太原030000 [2]山西师范大学地理科学学院,山西太原030000
出 处:《西北大学学报(自然科学版)》2023年第2期151-160,共10页Journal of Northwest University(Natural Science Edition)
基 金:山西省黄河文化生态研究院项目(HH202007);教育部人文社会科学研究规划基金项目(19YJAZH066);山西师范大学现代文理学院校级项目(2020JCYJ04)。
摘 要:山地旅游对于人们增强体魄、生活幸福作用显著,是推动旅游业复苏、高质量发展的强心剂。在黄河流域中部山地旅游中,山西因其丰富的山地资源优势地位举足轻重。以山西省75个A级及以上山地景区(以下简称A及以上)为研究对象,采用洛伦兹曲线、核密度分析、冷热点等空间可视化方法,分析景区空间分布格局,并构建地理加权回归模型(GWR)进行归因探究。研究发现:①景区呈现不均衡凝聚型分布态势,基本形成开口朝西的倒C型格局。可与紧邻的陕、豫实现资源共享,加强区域联动和链接功能。②景区分布具有明显空间自相关性,冷点地区主要分布于晋北,其余表现并不明显。③景区空间分布的四个成因存在明显异质性,50.18%区域资源联动水平与景区数量呈负相关,29.86%区域支撑保障水平与景区数量呈负相关,27.53%区域的交通条件和收入水平与景区数量呈负相关。需提高黄河流域中部经济收入,并将优势山地景区串点成线。Mountain tourism plays a significant role in enhancing people’s health and happiness,and is a tonic for promoting the recovery and high-quality development of tourism.Shanxi plays an important role in mountain tourism in the middle of the Yellow River Basin because of its rich mountain resources.A total of 75 mountain scenic spots with grade A and above(hereinafter referred to as A and above)in Shanxi Province were selected as the research objects,spatial visualization methods such as Lorentz curve,kernel density analysis and cold and hot spots are used to analyze the spatial distribution pattern of scenic spots,and geographical weighted regression model(GWR)was constructed to explore the attribution.The findings are as follows:①The scenic area presents an unbalanced and cohesive distribution trend,and basically forms an inverted C-shaped pattern with the opening facing west.It can realize resource sharing with neighboring Shaanxi and Henan to strengthen regional linkage and link function.②The distribution of scenic spots has obvious spatial correlation,and the cold spots are mainly distributed in northern Shanxi,while the rest are not obvious.③The four causes of the spatial distribution of scenic spots have obvious heterogeneity.50.18%of the regional resource linkage level is negatively correlated with the number of scenic spots,29.86%of the regional resource linkage level is negatively correlated with the number of scenic spots,and 27.53%of the regional traffic conditions and consumption level are negatively correlated with the number of scenic spots.The economic income of the middle part of the Yellow River Basin should be improved,and the dominant mountain scenic spots into lines connected.
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