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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 被引量:47

City Tourism Flow Network Structure and Transportation Mode——Taking Wuhan DIY Tourists for Example
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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。 Based on time and spatial information which is extracted from online travel notes, this thesis summarizes the characteristics of Wuhan inner city' s DIY tourists flow network structure and transportation mode, by applying social network analysis method. Results indicate:1)Wuhan' s DIY tourists flow network is mainly constituted by 13 spots including Hubu Lane, Wuhan University and so on. 2) Tourists are most distributed in central urban area, including the intersection area of Yangtze river and Han river, areas along the Yangtze river, and southwest of the east lake. 3) Obvious seasonal variations exits and spring is the peak season of Wuhan' s DIY tour. 4) In the aspects of node network structure characteristics, Wuhan tourist flows are unevenly distributed between network nodes, many tourism nodes need to connect with others through 8 core nodes. Hubu lane ranks the first place of the network structure hole. 5) In terms of overall network structure, the density of overall tourism flow network is low, but 8 cohesive subgroups were found and 3 of them are strongly related with their internal nodes. 6) The main transportation of Wuhan DIY tourists largely depend on the city public transit system, especially on pedestrian system and bus system. A positive correlation is also found between city' s pedestrianization level and tourism development level.
出处 《经济地理》 CSSCI 北大核心 2016年第6期176-184,175,共10页 Economic Geography
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)
关键词 自助游 旅游流 网络结构 流动方式 武汉 DIY tour tourism flow network structure transportation mode Wuhan
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