基于游客认知特性的旅游地网络结构演化研究——以宁波市为例  

The evolution of network structure of tourism area based on tourist cognition: a case study of Ningbo city

作　　者：刘文生[1] 干青亚 叶持跃[1] 张赛赛[1] 陈小龙[1] 

机构地区：[1]宁波大学地理与空间信息技术系,浙江宁波315211

出　　处：《科技与管理》2016年第3期72-79,共8页Science-Technology and Management

基　　金：国家科技支撑计划项目(2013BAJ10B06)

摘　　要：以宁波市为例,综合空间计量方法与社会网络理论,探讨基于游客认知特性的城市旅游网络结构演化特征。研究发现:1宁波市旅游网络结构发育成熟但趋于固化模式,旅游发展后劲不足。2宁波旅游网络异质性增强,网络结构分层明显,部分旅游资源处于游客认知盲区,旅游流态在区域空间中差异显著。3部分旅游节点网络地位互动频繁,核心边缘化突出,旅游聚散能力和自身网络地位不协调且呈现不均衡的"长尾现象"。4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。Taking Ningbo as an example,combining spatial econometric methods with social network theory,exploring the evolution characteristics of citie’s network structure based on tourists’ cognitive： 1The network structure of Ningbo is relatively mature but tending to curing mode,leading to lack of stamina in the development of tourism; 2The heterogeneity of tourism network is enhanced and hierarchical,so that a part of tourist resources lie in no cognition area of tourists,in result of the significant difference with tourist flow ’s structure. 3 the network status of tourism nodes change frequently,and the core-marginal structure is obviously,the ability of agglomeration and diffusion is uncoordinated,leading to the unbalanced and long tail phenomenon. 4 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 comprehensive competitiveness and tourist attraction.

关 键 词：社会网络理论 空间分析技术 旅游网络结构 游客认知 

分 类 号：F590[经济管理—旅游管理]