摘要
以百度指数所表征的旅游信息流为数据支撑,运用社会网络分析方法,对长三角旅游信息流的空间结构特征及其驱动机制进行分析。研究发现:(1)2015—020年,长三角地区间的旅游联系加强明显,位序保持稳定;(2)旅游流形成上海、杭州、合肥、南京4个稳定核心节点“,四核十一区,整体联动”的层级结构;(3)空间分布具有集聚特征,形成了沪—宁—合—苏—杭—甬子群(Ⅰ)、锡—徐—常—瓯子群(Ⅱ)、江浙联合子群(Ⅲ)、安徽子群(Ⅳ)4个凝聚子群;(4)长三角旅游信息流空间格局受旅游消费能力、出行便捷程度、信息化水平、经济发展水平、资源禀赋、接待水平、地理距离等多重因素综合影响。
Based on the tourism information flow represented by Baidu index,this paper analyzes the spatial structure characteristics and driving mechanism of tourism information flow in Yangtze River Delta region by using social network analysis method.The results show that:(1)From 2015 to 2020,the tourism links between the Yangtze River Delta region have been strengthened significantly,and the ranking has remained stable.(2)The tourist flow has formed a hierarchical structure of"four cores and eleven districts with overall linkage"with four stable core nodes in Shanghai,Hangzhou,Hefei and Nanjing.(3)The spatial distribution has the characteristics of agglomeration,forming four condensed subgroups:Hu-Ning-He-Su-Hang-Yong subgroup(i),Tin-Xu-Chang-Ou subgroup(ii),Jiangsu-Zhejiang Union subgroup(ii)and Anhui Subgroup(iv).(4)The spatial pattern of tourism information flow in the Yangtze River Delta is influenced by multiple factors such as tourism consumption ability,travel convenience,informatization level,economic development level,resource endowment,reception level and geographical distance.
作者
魏舒婷
张立明
周聪慧
李悦
Wei Shuting;Zhang Liming;Zhou Conghui;Li Yue(Hubei University,Wuhan 430062,China)
出处
《廊坊师范学院学报（自然科学版）》
2023年第3期68-74,共7页
Journal of Langfang Normal University(Natural Science Edition)
关键词
百度指数
旅游信息流
驱动机制
社会网络分析
长三角
Baidu index
tourism information flow
driving mechanism
social network analysis
Yangtze River Delta
