安徽省A级旅游景区空间结构及空间自相关效应

Space Distribution Structure and Spatial Autocorrelation Effect of A Level-Above Tourist Attractions in Anhui Province

以安徽省546处A级及以上旅游景区为研究样本,运用W函数、经验贝叶斯修正的空间自相关及空间冷热点分析,定量化地分析A级及以上旅游景区的空间结构、空间自相关效应,揭示其空间分布特征,探究其冷热点分布,并结合主成分分析法和地理加权法,探究旅游密度分布的影响因素。研究结果显示:①安徽省3A级及以上旅游景区在空间上呈现均匀分布状态,而3A以下景区空间上表现为聚集状态,市域间差异较大;②安徽省A级及以上旅游景区旅游密度呈正的空间自相关性,旅游密度总体上表现为南热北冷的分布特点,与安徽省旅游资源南多北少实情一致;③旅游地区资源禀赋、区域经济发展水平以及交通等因素影响着旅游密度的空间分布,市域间旅游密度存在差异。

Taking 546 A level-above tourist attractions in Anhui Province as the research sample,using W function,empirical Bayesian modified spatial autocorrelation and spatial cold hotspot analysis,quantitative analysis of the spatial structure and space of tourist attractions of Grade A and above the autocorrelation effect reveals its spatial distribution characteristics,explores its cold hotspot distribution,and combines principal component analysis and geographic weighting to explore the influencing factors of tourism density distribution.The results show that:(1)3 A level-above tourist attractions in Anhui are evenly distributed in space,while the scenic spots below 3 A-grade scenic spots are aggregated and have great differences between cities;(2)A level-above tourist attractions have a positive tourism density.The spatial autocorrelation,the tourism density is generally characterized by the distribution characteristics of the southerly north and the north,and is consistent with the fact that the tourism resources of Anhui Province are more than the north and the north;(3)the resource endowment of the tourism area,the level of regional economic development and the transportation affect the tourism.The spatial distribution of density varies from city to city.