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作 者:李雪 姚建盛 刘艳玲 LI Xue;YAO Jian-sheng;LIU Yan-ling(College of Tourism and Landscape Architecture,Guilin University of Technology,Guilin Guangxi 541006,China)
机构地区:[1]桂林理工大学旅游与风景园林学院,广西桂林541006
出 处:《西华师范大学学报(自然科学版)》2024年第4期413-419,共7页Journal of China West Normal University(Natural Sciences)
基 金:国家自然科学基金项目(72162011,72064007);广西重点研发计划项目(桂科AB17195028)。
摘 要:旅游流网络结构可以反映游客在旅游目的地的移动特征,关系到区域旅游协同发展。为了识别旅游流的网络结构特征,运用空间分析、社会网络分析等方法,基于网络游记对桂林旅游流进行探讨。研究表明:游客在桂林主要旅行景点呈“大分散,小聚集”的空间分布格局,桂林整体旅游流网络密度较低,存在典型的核心-边缘特征,核心区景点对边缘区景点影响有限,凝聚子群在桂林中心城区和阳朔县呈现集聚态势。漓江景区、龙脊梯田、象鼻山景区、两江四湖、兴坪古镇、西街、相公山7个景点在节点中心性和结构洞分析中优势明显,综合实力强,在旅游流网络中处于重要地位。The network structure of tourist flow reflects the movement characteristics of tourists at the tourist destination and relates to the coordinated development of regional tourism.Based on online travel notes,the tourist flow in Guilin is explored by spatial analysis,social network analysis and other methods in order to identify the characteristics of the network structure of tourist flow.The research shows that the spatial distribution pattern of tourists in the main tourist attractions of Guilin presents“large dispersion and small gathering”;the overall density of tourist flow network in Guilin is low,characterized by a typical core-edge feature;the attractions in the core area have limited influence on the scenic spots in the edge area;the cohesive subgroups in the central city area of Guilin and Yangshuo County have presented a gathering trend.Lijiang River scenic area,Longji Terrace,Xiangbi Mountain scenic area,Two Rivers and Four Lakes,Xingping Ancient Town,West Street and Xianggong Mountain have obvious advantages and strong comprehensive strength in the analysis of node centrality and structural holes,occupying an important position in the tourist flow network.
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