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泛长江三角洲城市群2005年~2015年旅游经济网络特征与效应演化研究
引用本文:喻 琦,叶持跃,马仁锋,黄欢欢,张 珂,尹秀秀.泛长江三角洲城市群2005年~2015年旅游经济网络特征与效应演化研究[J].华中师范大学学报(自然科学版),2018,52(1):115-121.
作者姓名:喻 琦  叶持跃  马仁锋  黄欢欢  张 珂  尹秀秀
作者单位:1.宁波大学 地理与空间信息技术系, 浙江 宁波 315211; 2.中国科学院 地理科学与资源研究所, 北京 100101;3.浙江省海洋文化与经济研究中心, 浙江 宁波 315211
摘    要:以泛长三角41个城市为例,用旅游经济引力模型和网络模型分析2005年、2010年、2015年泛长三角旅游经济网络结构特征演化.研究发现:1) 泛长三角旅游经济联系量不断增长,上海等城市占比缩小,垄断地位减弱,旅游联系日趋紧密,整体上呈现平衡发展的趋势;2) 网络呈现东部密集,西部稀疏,中间密集,南北稀疏的不均衡格局,边缘城市孤岛状态逐渐消退,网络整体性与网络密度趋高;3) 核心—边缘区节点城市发展稳定、联系越发紧密、互动性增强,核心区成员数量增加,网络发展渐趋平衡,核心区带动作用增强,“涓滴效应”日益显著;4) 节点网络中心性隐喻了长三角城市定位呈阶梯状格局,细分为5个角色群体以定位各节点城市的地位与属性.其中上海节点中心性各项指标处于绝对优势地位,上海、杭州、苏州、南京共同扮演着旅游核心角色.

关 键 词:社会网络分析法    GIS空间分析技术    引力模型    网络空间结构    旅游经济联系  
收稿时间:2018-03-02

A study on the characteristics and effects of tourism economy in the urban agglomeration of the Yangtze River Delta from 2005 to 2015
YU Qi,YE Chiyue,MA Renfeng,HUANG Huanhuan,ZHANG Ke,YIN Xiuxiu.A study on the characteristics and effects of tourism economy in the urban agglomeration of the Yangtze River Delta from 2005 to 2015[J].Journal of Central China Normal University(Natural Sciences),2018,52(1):115-121.
Authors:YU Qi  YE Chiyue  MA Renfeng  HUANG Huanhuan  ZHANG Ke  YIN Xiuxiu
Institution:1.Department of Geography and Space Information Technology, Ningbo University, Ningbo, Zhejiang,315211, China;2.Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;3.Research Center for Maritime Culture and Economy of Zhejiang, Ningbo, Zhejiang 315211, China
Abstract:Taking the 41 cities in the Pan-Yangtze River Delta as an example, the tourism economic gravity model and the network model were used to analyze the evolution of the Pan-Yangtze River Delta tourism economic network structure in 2005, 2010 and 2015. The study shows that (1) Pan-Yangtze River Delta tourism economic ties continue to grow, Shanghai and other cities accounted for smaller, monopoly weakened, increasingly close contact with tourism, the overall trend of balanced development.(2)The network is densely populated in the east, sparse in the west, dense in the middle and sparsely populated in the north and the south. The edge of the island is gradually subsided, and the network integrity and network density are getting higher (3) Core-edge node urban development is stable, more closely linked, enhanced interaction, the number of members of the core area increased, the network development is gradually balanced, the core area driven role, “trickle effect” increasingly significant.(4)The central area of the Yangtze River Delta is located in a ladder-like pattern, subdivided into five role groups to locate the status and attributes of each node city. Shanghai, Hangzhou, Suzhou, Nanjing, the central role of the indicators in an absolute dominant position, Shanghai, Hangzhou, Suzhou, Nanjing, together play the core role of tourism.
Keywords:social network analysis  GIS analysis technology  gravitational model  cyberspace structure  tourism economic link  
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