摘要
基于修正引力模型,运用社会网络分析法、QAP相关性分析和GIS可视化技术,探讨长三角城市群旅游经济联系网络的时空演化特征和影响因素.结果表明,旅游经济联系度持续增强,网络范围不断扩大,结构由单增长极(上海)演化为多增长极.在沪宁杭的带动下,处于网络中心地位的城市逐渐增加.沪宁的资源控制地位下降,具有网络桥梁作用的城市逐渐成片发展.可进入性较好、对外联系紧密的城市逐渐凸显,并形成以沪宁杭为顶点的片状三角核心区.长三角的抱团发展模式逐渐稳定成熟,各子群内部及之间的联系愈发紧密,上海逐渐与浙北联合发展,南京逐渐与皖东联合发展.长三角旅游经济联系网络会受到城市发展水平、旅游发展水平和交通便捷程度的影响.
Based on the modified gravity model,using the social network analysis,QAP correlation analysis and GIS visualization technology,this article explores the spatial-temporal evolution characteristics and influencing factors of the tourism economic contact network of the Yangtze River Delta.The results show the economic connection degree of tourism continues to increase,the network scope continues to expand,and the structure changes from single growth pole(Shanghai)to multi-growth pole.Driven by Shanghai,Nanjing and Hangzhou,the number of cities in the network center position is increasing.The resource control positions of Shanghai and Nanjing are declining,and the cities with the role of network bridge are gradually developing into a piece.The cities with better accessibility and close external ties are gradually emerging.And a piece of triangle core area with Shanghai,Nanjing and Hangzhou as the top point is formed.The developmental mode of the Yangtze River Delta is gradually stable and mature,and the relationship among the subgroups is increasingly close.Shanghai and Northern Zhejiang are developing jointly,and Nanjing and Eastern Anhui are developing jointly.The Yangtze River Delta tourism economic contact network will be affected by the level of urban development,tourism development and traffic convenience.
作者
朱安琪
曹芳东
周春林
Zhu Anqi;Cao Fangdong;Zhou Chunlin(School of Geography,Nanjing Normal University,Nanjing 210023,China;Nanjing Institute of Tourism and Hospitality,Nanjing 211100,China)
出处
《南京师范大学学报（工程技术版）》
CAS
2020年第4期83-92,共10页
Journal of Nanjing Normal University(Engineering and Technology Edition)
基金
国家自然科学基金项目(41771154).
关键词
旅游经济联系
社会网络分析
网络结构
时空演化
驱动因素
tourism economic connection
social network analysis
spatial structure
space-time evolution
driving factor
