城市旅游流的网络结构特征及流动方式——以武汉自助游为例

发布时间：2018-03-13 01:26

本文选题：自助游　切入点：旅游流　出处：《经济地理》2016年06期 　论文类型：期刊论文

【摘要】：基于网络游记中时空信息的提取、整理和挖掘,通过社会网络分析方法,归纳武汉自助游流动网络结构特征和流动方式特征。研究表明:1武汉自助游流动网络的主体由户部巷、武汉大学等13个节点组成。2空间上,流动区域主要集中在中心城区,包括两江交汇区域、汉口沿长江一线以及东湖西南侧一带。3时间上,客流季节变化明显,春季是武汉自助游的热点时段。4节点结构特征方面,网络转移和扩散的通畅程度差异明显,旅游节点大多需要通过户部巷、黄鹤楼等8个精华节点来发生联结,户部巷是武汉自助游流动网络的集散中心。5整体结构特征方面,网络整体密度较低,存在8个凝聚子群,其中3个内部联系较为紧密。6流动方式方面,自助游客主要依赖城市公共交通系统,步行和公交是最主要的流动方式,步行化水平与旅游发展水平呈正相关关系。
[Abstract]:Based on the extraction, collation and mining of space-time information in the online travel records, the characteristics of the mobile network structure and the mobile mode of Wuhan self-help tour are summed up by the social network analysis method. The research shows that the main body of the mobile network of Wuhan self-help tour is the hukou lane. The flow area is mainly concentrated in the central urban area, including the area where the two rivers meet. The seasonal variation of passenger flow is obvious in Hankou along the Yangtze River and in the southwest of the East Lake. Spring is the hot spot time of Wuhan self-help tour in terms of the structural characteristics of .4 nodes, the difference of the smooth degree of network transfer and diffusion is obvious, most of the tourist nodes need to be connected through 8 elite nodes, such as hukou lane, Yellow Crane Tower, etc. Hubuxiang is the overall structure characteristic of Wuhan self-help mobile network. The overall density of the network is relatively low, there are 8 condensed subgroups, three of which are closely related to each other in terms of flow mode. Self-help tourists mainly rely on urban public transport system, walking and public transport are the most important flow mode, walking level and tourism development level are positively correlated.
【作者单位】：华中师范大学城市与环境科学学院;中国旅游研究院武汉分院;华中师范大学人文社会科学高等研究院;
【基金】：教育部哲学社会科学发展报告项目(11JBGP041) 教育部人文社会科学青年项目(15YJCZH174) 国家旅游局“万名旅游英才计划”项目(WMYC20151043)
【分类号】：F592.7

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