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基于社会网络理论的旅游系统空间结构优化研究
引用本文:陈秀琼,黄福才.基于社会网络理论的旅游系统空间结构优化研究[J].地理与地理信息科学,2006,22(5):75-80.
作者姓名:陈秀琼  黄福才
作者单位:厦门大学管理学院,福建,厦门,361005
摘    要:基于交通网络和旅游资源禀赋的旅游系统空间结构研究具有一定欠缺性。借鉴Shih研究成果,基于旅游者行走游线和旅游流量,分析社会网络理论的程度中心性、接近中心性和中介中心性3个指标作为衡量区域旅游进出通道和中心性、可进入性和旅游集散中心的意义,将目的地划分为区域旅游核心区、缓冲区和边缘区,并对区域旅游分工和设施配备要求提供理论指导。旅游核心区应配备旅游中心、信息中心和口岸交通设施,旅游缓冲区应加强旅游景区建设,旅游边缘区在加强景区建设的同时还应强化宣传工作。探讨旅游系统空间结构的影响因素及其优化措施,并对福建进行实证研究。

关 键 词:社会网络理论  旅游系统空间结构  程度中心性  接近中心性  中介中心性
文章编号:1672-0504(2006)05-0075-06
修稿时间:2006年5月10日

Research on Tourism Spatial Structure and Its Optimization: A Network Analysis
CHEN Xiu-qiong,HUANG Fu-cai.Research on Tourism Spatial Structure and Its Optimization: A Network Analysis[J].Geography and Geo-Information Science,2006,22(5):75-80.
Authors:CHEN Xiu-qiong  HUANG Fu-cai
Abstract:There are many shortcomings on tourism spatial structure research based on transportation and tourism resources.The multi-destination travel decision is influenced not only by tourist motivations but also by geographic characteristics such as distance and spatial structure.According to Hsin-yu Shih's research and based on tourist route and tourist flow,this paper analyzes the practical value of degree centrality,closeness centrality and betweenness centrality of social network theory through measuring the links among tourism destinations,which symbolize its importance(beginning,core or terminal destination),accessibility and intermediate respectively.Based on the results of network analysis,the destinations can be divided into core destination,buffer destination and periphery destination.The core destination must be equipped with tourist centre and information centre,as well as transportation facilities.The buffer destination should emphasize on its attractions.The periphery destination makes effort on both promotion and attractions development.Then this paper further discusses the influence factors and puts forwards some suggestions for optimizing tourism spatial structure.In the end,this paper gives an empirical study of Fujian Province.Network analysis can be effective within limited destinations.However,social network theory may lose its value when there are too many destinations and the network graph will become visually complex and the indication may not well discern.What's more,network analysis must consider its tourism resources as well as destination links.
Keywords:social network theory  tourism spatial structure  degree centrality  closeness centrality  betweenness centrality
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