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杭州市景点旅游流空间网络分析
引用本文:林文辉,毛峰,何虹,赵文彪,欧阳娟,刘婷,张登荣. 杭州市景点旅游流空间网络分析[J]. 浙江大学学报(理学版), 2016, 43(4): 458-464. DOI: 10.3785/j.issn.1008-9497.2016.04.013
作者姓名:林文辉  毛峰  何虹  赵文彪  欧阳娟  刘婷  张登荣
作者单位:1. 杭州师范大学 理学院, 浙江 杭州 311121;
2. 杭州电子科技大学 管理学院, 浙江 杭州 310018;
3. 浙江省城市湿地与区域变化研究重点实验室, 浙江 杭州 311121
基金项目:国家863计划项目(2013AA12A402);国家自然科学基金资助项目(41101371);国家大学生创新创业训练计划项目(201510346007);杭州市社会发展科研专项(20150533B04)
摘    要:以中国重要旅游城市-杭州为例,通过网络爬虫技术搜集互联网旅游出行数据,结合GIS空间分析方法和社会网络分析手段,研究了杭州市旅游流的空间网络特征,并分析这些特征产生的原因.研究表明:杭州市各景点趋于聚集分布,主要集中在市中心附近区域;西湖等景点中心度较高,在整体网络中处于最重要的地位;旅游流网络中心势偏高,说明景点间中心度差异明显,客流量分布不均;杭州市区旅游流网络总体密度偏低,有较大的提升空间.

关 键 词:杭州市区  旅游流  景点  社会网络分析  
收稿时间:2015-12-07

Spatial network analysis of urban tourist flow of the scenic spots: A case study of Hangzhou
LIN Wenhui;MAO Feng;HE Hong;ZHAO Wenbiao;OUYANG Juan;LIU Ting;ZHANG Dengrong. Spatial network analysis of urban tourist flow of the scenic spots: A case study of Hangzhou[J]. Journal of Zhejiang University(Sciences Edition), 2016, 43(4): 458-464. DOI: 10.3785/j.issn.1008-9497.2016.04.013
Authors:LIN Wenhui  MAO Feng  HE Hong  ZHAO Wenbiao  OUYANG Juan  LIU Ting  ZHANG Dengrong
Affiliation:1. College of Science, Hangzhou Normal University, Hangzhou 311121, China;
2. Management School, Hangzhou Dianzi University, Hangzhou 310018, China;
3. Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change, Hangzhou 311121, China
Abstract:Taking Hangzhou, an important coastal tourist city, as a case study, this paper collected the tourist data on the internet using Web crawler, and analyzed the spatial network pattern of tourist flows of Hangzhou by means of GIS spatial analysis and social network analysis. Results showed that: (1) Distribution of the scenic spot in Hangzhou tended to aggregate, and mainly clustered in the downtown area. (2) The centrality of West Lake and some other scenic spots were higher, which took very important position in the whole network. (3) Centralization of the network was rather high, which showed that there was significant difference in the centrality between the scenic spots and the distribution of tourist flow volume. (4) The density of the tourist flow network in urban area of Hangzhou was low, and needed to be improved.
Keywords:urban area of Hangzhou  tourist flow  scenic spots  social network analysis
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