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运用地理集中指数、基尼系数、ArcGIS空间分析、聚类分析等方法,研究了山东省139个高等级旅游景区空间结构特征、驱动因素。结果表明:(1)山东省的旅游景区主要以自然类和历史文化类景区为主,二者比例超过景区总量的45%;5A、1A级景区偏少,2A、3A、4A级景区为主体;(2)高等级旅游景区的R值、G值、Gini值、CV值分别为0.8114、29.44、0.9091和156.28%,表明其空间分布类型为凝聚型分布,依据上述指标可将17地市划分为4个层级,其主要集中于青岛、临沂、烟台、济南等第一、二层次的地市;(3)53.24%的高等级旅游景区分布在半径30 km的缓冲区内,其在空间上呈现“中心城区、近郊区密集,而远郊区、城市周边县市稀疏”的“圈层式”结构,形成5处明显的集聚点群;(4)旅游资源、旅游需求、旅游供给、集聚与扩散是其空间结构形成的4个主要驱动因素。
By using such methods as geographical concentration index, Gini coefficient, ArcGIS spatial analysis and cluster analysis, the paper studies the spatial structure characteristics and driving forces of 139 high-class tourist attractions in Shandong Province. The results showed that: (1) The tourist attractions in Shandong Province are mainly natural and historical and cultural scenic spots, with the proportion exceeding 45% of the total scenic spots; the scenic spots of Grade 5A and 1A are less and the scenic spots of Grade 2A, 3A and 4A are (2) The R value, G value, Gini value and CV value of the high-class tourist attractions are 0.8114, 29.44, 0.9091 and 156.28% respectively, indicating that the spatial distribution types are cohesive. According to the above indexes, 17 cities It is divided into four levels, which are mainly located in the first and second level cities in Qingdao, Linyi, Yantai and Jinan. (3) 53.24% of high-grade tourist attractions are distributed in a buffer zone of 30 km in radius, (4) The tourism resources, the demand for tourism, the tourism resources, the tourism resources, the tourism resources, the tourism resources, the tourist attractions, Tourism supply, agglomeration and proliferation are the four main driving forces for the formation of its spatial structure.