WRS ›› 2019, Vol. 28 ›› Issue (2): 201-208.
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徐珍珍1,余意峰2
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Abstract: Abstract:This research took 500 comprehensive tourism demonstration areas as the samples, and study the Spatial distribution and influence factors by means of the GIS spatial analysis and mathematical statistics. The results showed that comprehensive tourism demonstration areas presents an unevenly-aggregated distribution pattern. It is dense in the east and central regions and sparsely in the west. It has formed five high-density core regions including Jiangsu, Hainan, Henan, Hunan-Jiangxi, Hubei, Sichuan, and Sichuan. Judging from the spatial distribution of provinces, the provinces of Hunan, Sichuan, Henan, and Jiangsu have the largest number of distributions,and the scale of the provinces differs significantly,there are three “highlands” including Hainan, Jiangsu, and Beijing, Tianjin, and Hebei.Then we explored the influence factors of comprehensive tourism demonstration areas, the distribution is mainly influenced by tourism resources, the level of tourism development,traffic conditions and policy factors.
Key words: comprehensive tourism demonstration areas, GIS method, spatial distribution, the influence factors
摘要: 摘要:以500个国家全域旅游示范区作为研究对象,运用GIS空间分析技术和数理统计方法对其空间分布及其影响因素进行了定量研究。结果表明:国家全域旅游示范区总体呈现不均衡的集聚型分布态势,东、中部地区密集,西部稀疏,且形成了包括江苏、海南、河南、湘赣鄂交汇地区和四川在内的五个高密度核心区。从省域空间分布来看,湖南、四川、河南和江苏4省分布数量最多,且各省份的规模度指数差异明显,存在包括海南、江苏和京津冀地区在内的的三个“高地”。进一步研究其空间分布的影响因素,认为其分布主要受到旅游资源禀赋、旅游业发展水平、交通条件以及政策因素的影响。
关键词: 全域旅游示范区, GIS方法, 空间分布, 影响因素
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徐珍珍 余意峰. 国家全域旅游示范区空间分布及其影响因素[J]. 世界地理研究, 2019, 28(2): 201-208.
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https://sjdlyj.ecnu.edu.cn/EN/Y2019/V28/I2/201