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基于电信数据的潜在旅游流网络结构特征及影响因素分析——以江苏省为例 被引量:4

Analysis of Structural Characteristics and Influnecing Factors of Potential Tourism Flow Network based on Telecom Data--Taking Jiangsu Province as an example
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摘要 基于电信数据,选取江苏省各市电信用户对省内景区的搜索量为研究对象,运用社会网络分析方法,研究江苏省潜在旅游流的网络结构特征及其影响因素,结果发现:①江苏省潜在旅游流网络密度较低。苏南地区间旅游互动频繁,苏北地区间旅游联系亟待加强。②核心-边缘结构明显。苏锡宁地区是网络中的核心区,徐淮连盐为边缘区,其余地区为次级核心区。③深度剖析旅游流网络结构的影响因素,发现居民私家车拥有量、可自由支配收入、公路距离是制约地区间潜在旅游流流动的主要因素;旅游接待设施与列车数量是影响潜在游客选择旅游地的重要因素。潜在游客群体倾向选择交通便利、设施完善且居民生活水平较高的旅游目的地,这也是苏南地区在潜在旅游流网络中发挥较大作用的原因。 Based on Telecom data,the research object is the search volume of telecom users in various cities of Jiangsu province for scenic spots in Jiangsu province.By using the social network analysis method,the network structure characteristics and influencing factors of potential tourism flow in Jiangsu province are studied.The results show that:①the network density of potential tourism flow in Jiangsu province is small.The tourism interaction between southern Jiangsu is frequent,and the tourism connection between northern Jiangsu needs to be strengthened urgently.②the core-edge structure is obvious.Suxining area is the core area of the network,Xuhuai salt is the marginal area,and the rest of the region is the secondary core area.③thein-depth analysis of the network structure of tourism flow factors,found that private car ownership,disposable income,road distance is the main factors restricting the potential flow of tourism flow between regions;The tourist reception facilities and the number of trains are important factors affecting the potential tourists’choice of tourist destinations.Potential tourists tend to choose destinations with convenient transportation,complete facilities and high living standards,which is also the reason why southern Jiangsu plays a greater role in the potential tourism flow network.
作者 濮蓉 陶卓民 濮元生 荣慧芳 刘培学 PU Rong;TAO Zhuomin;PU Yuansheng;RONG Huifang;LIU Peixue(School of Geographical Science,Nanjing Normal University,Nanjing 210023,China;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China;Jiangsu Province Nanjing Engineering Vocation College,Nanjing 211135,China;School of Geographic and Oceanographic Science,Nanjing University,Nanjing 210093,China)
出处 《重庆理工大学学报(自然科学)》 CAS 北大核心 2021年第4期231-238,共8页 Journal of Chongqing University of Technology:Natural Science
基金 国家自然科学基金项目(41571139) 江苏高校优势学科建设工程项目(164320H116)。
关键词 电信数据 社会网络分析 潜在旅游流 影响因素 江苏省 telecom data social network analysis potential tourism flow influence factor Jiangsu Province
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