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作 者:邓祖涛[1] 周玉翠 周玄德 DENG Zu-tao;ZHOU Yu-cui;ZHOU Xuan-de(Department of Tourism and Hotel Management,Hubei University of Economics,Wuhan 430205,China;School of Economy and Trade Management,Quzhou University,Quzhou 324000,China)
机构地区:[1]湖北经济学院旅游与酒店管理学院,湖北武汉430205 [2]衢州学院经贸管理学院,浙江衢州324000
出 处:《资源开发与市场》2020年第1期82-88,60,共8页Resource Development & Market
基 金:国家社会科学基金资助项目“长江经济带旅游空间结构动态评价、影响机理及优化路径研究”(编号:15BJY128);湖北省高校中青年科技创新团队项目“旅游空间结构与区域发展研究”(编号:T201613)
摘 要:文章应用社会网络方法测度了长江中游城市群旅游流关联网络。研究发现:①旅游流网络具有很好的稳健性,其溢出效应存在多重叠加现象,不存在等级森严的空间结构。②城市个体网络特征差异较大。长沙、武汉等城市的度数中心度、接近中心度和中间中心度较大,处于网络核心位置,较易传递旅游流,对旅游流溢出具有较强的控制能力;荆门、吉安等城市较低,处于网络边缘位置,旅游流溢出不通畅且没有任何支配权力。③长沙、南昌等城市为双向溢出板块,上饶、宜昌等城市为主受益板块,武汉、黄冈等城市为经纪人板块。The social network method was applied to measure the tourist flows correlation network in urban agglomerations of the middle reaches in Changjiang River.The results showed that:①Tourist flows network had good robustness,and its spillover effect had multiple overlaps,and there was no hierarchical spatial structure.②Individual characteristics of network in different cities were quite different.Changsha,Wuhan etc had greater degree centrality,closeness centrality and betweenness centrality.They were at the core of the network and were easier to transmit tourist flows.They had strong ability to control and dominate tourist flows spillovers.However,Jingmen and Ji′an were relatively low,they were at the edge of the network,and tourist spillovers were not smooth.They had no dominant power over tourist flows spillovers in the network.③Changsha,Nanchang etc belonged to the bidirectional spillover block,Shangrao,Yichang etc belonged to the main beneficial block,and Wuhan,Huanggang etc belonged to the broker block.
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