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广西A级旅游景区时空演变特征及驱动因素

Spatio-temporal evolution characteristics and driving factors ofA-class tourist attractions in Guangxi
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摘要 基于广西A级旅游景区2010年、2015年、2020年3个时间截面数据,采用核密度估计、空间自相关等空间统计方法动态分析广西旅游景区时空演变特征,并运用地理加权回归模型进一步探讨其驱动因素的空间异质性.结果表明:(1)广西A级旅游景区空间分布格局由“双核多面”向“三主两次连片”再向三核联动的“各地开花型”演变;(2)景区空间分布方向整体呈现东北—西南顺时针小幅度旋转变化;(3)景区之间存在不断减弱的正向空间自相关,具有一定程度的空间集聚特征;(4)经济发展水平、交通条件和政策扶持力度等外推动力对景区空间分布特征具有显著正向影响.文章最后就全域旅游背景下广西A级旅游景区空间格局优化提出了建议. Based on the cross-sectional data of Guangxi A-level scenic spots in 2010,2015 and 2020,the spatio-temporal evolution characteristics of A-class tourist attractions were analyzed using spatial statistical methods such as kernel density estimation and spatial autocorrelation,and the spatial heterogeneity of driving factors was further discussed by using geographical weighted regression(GWR)model.The results show that:(1)The spatial distribution pattern of A-class tourist attractions in Guangxi shows the evolution from“dual-core and multi-faceted”to“three-main and two-area”and then to“blossoming in different places”with the linkage of three cores;(2)The overall spatial distribution direction of A-class tourist attractions shows a small clockwise rotation change from northeast to southwest;(3)There is a decreasing positive spatial autocorrelation between A-class tourist attractions,which has a certain degree of spatial agglomeration;(4)External driving forces such as economic development level,traffic conditions and policy support have a significant impact on the spatial distribution characteristics of A-class tourist attractions in Guangxi.Finally,the paper puts forward some suggestions on the spatial pattern optimization of Guangxi A-class tourist attractions under the background of region-wide tourism.
作者 王芳 夏安桃 WANG Fang;XIA Antao(School of Geographic Science,Hunan Normal University,410081,Changsha,Hunan,PRC)
出处 《曲阜师范大学学报(自然科学版)》 CAS 2023年第3期108-115,共8页 Journal of Qufu Normal University(Natural Science)
基金 湖南省教育厅创新项目(15K081)。
关键词 旅游景区 时空演变特征 驱动因素 scenic spots spatio-temporal evolution characteristics driving factors
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