基于ESDA-SNA的城市旅游网络结构研究——以宁波市为例  

The analysis of urban tourism network structure based on ESDA-SNA: a case study of NingBo City

作　　者：刘文生[1] 叶持跃[1] 马仁锋[1,2] 干青亚 李林衡 

机构地区：[1]宁波大学城市科学系,浙江宁波315211 [2]宁波大学浙江省海洋文化与经济研究中心,浙江宁波315211

出　　处：《科技与管理》2016年第1期92-99,共8页Science-Technology and Management

基　　金：国家科技支撑计划项目(2013BAJ10B06)

摘　　要：基于TGC与传统统计数据,把SNA理论模型与ESDA分析技术交互,并以宁波市旅游网络结构为研究对象,得出以下结论:宁波市旅游网络整体发展相对成熟,但西北部和西南部地区旅游网络发育不健全,中心区域与城市南北两极集聚效应显著,市区东部与中西部地区旅游集聚能力和自身网络地位不协调;宁波市中心核心区和周围边缘区域存在明显的网络结构分层,核心区对边缘区的集聚作用大于辐射扩散作用,优质景区和一般景区存在显著的"马太效应",空间联动能力弱;宁波市县区旅游吸引强度呈现正相关性,但旅游资源空间分布不均衡,整体呈现出北密南疏、东密西疏的分布格局,旅游资源在南部区域呈组团状,游客烈度在西南部呈"L"环状,二者空间网络结构差异显著;在旅游网络结构研究中,空间分析能从宏观角度弥补网络分析在全局尺度表征区域整体结构特征的缺陷,把二者相结合作对比修正才能评判旅游景区的综合竞争力和旅游吸引力。Based on TGC and traditional statistical data of Ningbo, integrated SNA theory model and ESDA analysis technology to draw the following conclusions：the tourism network of Ningbo is relatively mature except somewhere which are not perfect or uncoordinated;the center and peripheral edge region have an obvious hierarchical network structure, the core＇s fringe agglomeration effect is greater than the radiation diffusion effect,leading to a significant ＂Matthew effect＂ and the spatial linkage ability weakness. Ningbo＇s tourism attraction intensity showed a positive correlation, but the tourist resources spatial distribution is not balanced, showing the complex state. In the study of tourism network structure, spatial analysis compensate the defects of network analysis in global scale revealing the overall regional structure from macro perspective, two combination can judge the tourist attractions of the compre- hensive competitiveness and tourist attraction.

关 键 词：SNA理论模型 ESDA分析技术 旅游网络结构 

分 类 号：F276.3[经济管理—企业管理]