首页|基于游记攻略的长江经济带旅游流网络结构特征及影响因素

基于游记攻略的长江经济带旅游流网络结构特征及影响因素

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宏观把握长江经济带旅游流的网络结构,对于长江经济带旅游空间格局优化、旅游业高质量发展具有重要意义.基于游记攻略大数据挖掘,运用复杂网络模型、地理探测器等方法,分析长江经济带旅游流的网络结构特征以及影响因素.研究表明:长江经济带旅游流网络具有明显幂律分布规律,多极化层级结构突出,上海市是核心节点,成都市、南京市、武汉市、重庆市、长沙市、杭州市、昆明市、苏州市、南昌市、合肥市是次核心节点;长江经济带旅游流网络不均衡性强,小世界性特征显著,形成了长三角、长江中游、川渝、云南、贵州5个社团.旅游关注度、旅游产业基础、旅游资源禀赋是长江经济带旅游流网络结构的主要影响因素,其中旅游关注度是首要因素.最后,提出强化核心节点辐射带动、着力完善区域合作机制、加大旅游宣传营销力度等建议.
Network Structure Characteristics and Influencing Factors of Tourism Flow Along the Yangtze River Economic Belt Based on Travel Notes
It is of great significance to grasp the network structure of tourism flow along the Yangtze River Economic Belt at macroscopic scale for the optimization of the tourism spatial structure and the high quali-ty development of tourism.Based on the big data mining of travel notes,this paper analyzed the network structure characteristics and influencing factors of tourism flow along the Yangtze River Economic Belt by employing the methods of complex network model,geographic detector and so on.The study shows that the network of tourism flow along the Yangtze River Economic Belt conforms to the power law distribution and presents a multi-polarization hierarchical structure;Shanghai is the core node while Chengdu,Nan-jing,Wuhan,Chongqing,Changsha,Hangzhou,Kunming,Suzhou,Nanchang and Hefei are the secondary core nodes;the network of tourism flow along the Yangtze River Economic Belt is characterized by strong imbalance and significant small world feature,forming five communities including the Yangtze River Del-ta,middle reaches of the Yangtze River,Sichuan-Chongqing,Yunnan and Guizhou.Tourism attention,tourism industry foundation and tourism resource endowment are the main factors that affect the network structure of tourism flow along the Yangtze River Economic Belt,with tourism attention as the primary fac-tor.Finally,this paper puts forward some suggestions so as to strengthen the core node radiation drive,im-prove the regional cooperation mechanism,and increase the intensity of tourism publicity and marketing.

tourismtourism flowbig datathe Yangtze River Economic Belt

刘大均、陈君子、陈云

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成都大学旅游与文化产业学院,成都 610106

旅游 旅游流 大数据 长江经济带

2025

西华师范大学学报(自然科学版)
西华师范大学

西华师范大学学报(自然科学版)

影响因子:0.212
ISSN:1673-5072
年,卷(期):2025.46(1)