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基于网络游记的成都自助旅游流网络结构研究

Research on Self-service Tourism Flow Network Structure of Chengdu Based on Online Travel Notes

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【作者】 穆小雨吴小根冯英杰汪侠夏雪莹

【Author】 MU Xiao-yu;WU Xiao-gen;FENG Ying-jie;WANG Xia;XIA Xue-ying;Nanjing University School of Geography and Oceanographic Sciences;Nanjing University Jinling College;

【通讯作者】 吴小根;

【机构】 南京大学地理与海洋科学学院南京大学金陵学院

【摘要】 运用社会网络分析方法,基于678篇网络游记中时空信息的提取和分析,总结了成都自助旅游流网络结构的特点。结果表明:①春熙路是成都自助旅游流网络的集散中心,网络中有春熙路、宽窄巷子、人民公园等9个核心节点。成都旅游节点划分为5个等级,其中市级中心节点的控制力和结构优势最强,旅游网络的主体由春熙路、宽窄巷子、大熊猫基地等17个游客重点游览的节点组成。②成都自助游网络密度较低,旅游线路偏少;网络中共有8个凝聚子群,内部紧密相关的有3个;网络中存在明显的核心区和边缘区,两者密度差异较大。③成都自助游客流四季差异较小,秋季达到顶峰,夏季出现小低谷;最受游客欢迎的17个重点游览节点不随季节而变化。

【Abstract】 This paper used the social network analysis method to summarize the structural characteristics of Chengdu’s self-service tourism flow network based on time and spatial information which was extracted from 678 online travel notes. The results showed that: ①Chunxi Road was the center of Chengdu’ s self-service tourism network,there were 9 core nodes in the network,including Chunxi Road,Kuanzhai Alley,People’s Park and so on. Tourism nodes of Chengdu were divided into 5 levels,of which municipal center nodes had the strongest control and structural advantages. Chengdu’s self-service tourism flow network mainly consisted of 17 tourism nodes which included Chunxi Road,Kuanzhai Alley,the Giant Panda Base and so on. ②Chengdu’ s overall network structure had low density and few tourist routes. there were 8 cohesive subgroups in the network and 3 of them were closely related about the internal nodes. There were core areas and marginal areas in the network and the density difference between them was large. ③Chengdu’s self-service tourists had small differences in the four seasons,reaching the peak in autumn and a small trough in summer. Tourists’ favorite17 tourism nodes didn’t change with the seasons.

【基金】 国家自然科学基金项目(编号:41871134)
  • 【文献出处】 资源开发与市场 ,Resource Development & Market , 编辑部邮箱 ,2019年04期
  • 【分类号】F592.7
  • 【被引频次】10
  • 【下载频次】726
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