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广西北部湾城市群高等级旅游景区空间分布及影响因素研究 被引量:1

Study on the Distribution Structure and Influential Factors of 4A Above Tourist Attractions in Guangxi Beibu Bay City Cluster
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摘要 4A级及以上旅游景区作为高级别旅游资源,其空间结构是区域旅游业的基础。运用最邻近指数、核密度估计、洛伦茨曲线等方法对广西北部湾城市群4A级及以上旅游景区(文中简称“高等级旅游景区”)的空间结构和影响因素进行分析。结果表明:(1)研究区高等级旅游景区数量分布不均匀,总体呈现出“大分散、小集聚”的态势;(2)高等级景区空间密度表现为“中心集聚、周围较低”的特点,空间分布类型为凝聚型;(3)地形、水系、交通、社会经济发展水平以及人口都在不同程度上对北部湾城市群高等级景区产生影响。最后,结合分析提出6点针对性建议。 Based on the location data of 4A-level and above scenic spots,study the Beibu Bay City Cluster in Guangxi.With the help of the analysis tool in ArcGIS10.0 software,based on the nearest neighbor index,kernel density estimation and spatial autocorrelation analysis,the spatial structure and influencing factors of 4A-level and above scenic spots in Guangxi Beibu Bay City Cluster were systematically analyzed.The results show that the spatial distribution presents a trend of“large dispersion but small agglomeration”,and the number of scenic spots among cities is not uniform.The spatial distribution type is agglomeration type in regional space.There were differences in spatial distribution density,and the overall distribution characteristics were“centrally concentrated and peripherally low”.The correlation of spatial distribution has strong autocorrelation.Terrain,water system,traffic,social and economic development level and population all have an impact on the 4A level and above scenic spots in Beibei Bay City Cluster of Guangxi to different degrees.Finally,put forward some suggestions for spatial structure optimization and tourism development.
作者 刘岳帅 农琪冰 LIU Yue-shuai;NONG Qi-bing(Yulin Normal University,Yulin 537000,China;Ningming County labor Union,Chongzuo 532500,China)
出处 《黑龙江生态工程职业学院学报》 2022年第3期38-42,51,共6页 Journal of Heilongjiang Vocational Institute of Ecological Engineering
基金 广西职业教改项目“产教融合背景下旅游管理职教师资专业‘政用产学研一体化’人才培养模式研究与实践”(GXGZJG2020B182) 广西哲学社会科学规划研究课题“新冠肺炎疫情下广西城乡居民体育消费特征与促进策略”(20FTY017)。
关键词 北部湾城市群 4A级及以上旅游景区 空间分布 影响因素 Beibu Bay City Cluster 4A level and above tourist attractions Spatial distribution Influence factors
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