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旅游吸引物空间结构分析——以中国首批国家4A级旅游区(点)为例
引用本文:吴必虎,唐子颖.旅游吸引物空间结构分析——以中国首批国家4A级旅游区(点)为例[J].人文地理,2003,18(1):1-5.
作者姓名:吴必虎  唐子颖
作者单位:北京大学旅游开发与规划研究中心, 北京 100871
摘    要:本文利用地理数学方法中的空间分析手段,通过对首批国家4A级旅游区(点)在不同地域范围的空间分布规律进行研究,以及对各旅游区(点)与非农业人口在20万以上的城市之间的空间关系分析,揭示了国家首批4A级旅游区(点)的空间结构整体特征,以及与不同规模客源市场之间的距离分异特征,为旅游目的地空间结构理论研究提供了基础方法。

关 键 词:A级旅游区(点)  空间结构  空间相互作用  
文章编号:1003-2398(2003)01-0001-05
收稿时间:2002-02-06
修稿时间:2002年2月6日

A Study on Spatial Structure of National 4a Grade Tourism Attractions in China
WU Bi hu,TANG Zi ying.A Study on Spatial Structure of National 4a Grade Tourism Attractions in China[J].Human Geography,2003,18(1):1-5.
Authors:WU Bi hu  TANG Zi ying
Institution:Research Center for Tourism Development and Planning, Peking University, Beijing 100871, China
Abstract:China National Tourism Administration has authorized 187 attractions as the first National 4A Tourism Attractions in 2000, consisting of almost all the most popular and important tourist destinations in China. Spatial relationships among these attractions and relationships between attractions and their source cities are significant to the development and marketing of regional tourism. The paper firstly focuses on the inter attraction relationship of 4A Tourism Attractions. Two spatial analyzing methods are employed to observe the spatial structure of 4A attractions in the nation: average nearest distance ( r E=1/2(n/A) 1/2 =1/2D 1/2 ) and Gini coefficient. The result of average nearest distance measure shows that the nearest linear distance between 4A attraction is 74 29 km, lower than the hypothetic stochastic nearest distance 113km. The distribution of 4A attractions is a type of agglomeration. Gini coefficient helps to observe the 4A attractions distribution in eight geographical zones in the country. The calculating results (G=0 8561, C=0 1439) prove that the 4A attractions distribution is concentrated in eight zones. Secondly, the paper pays attention to the spatial structure of Attraction city relationship, namely the spatial relationship between 4A attractions and their nearest source cities. Non equilibrium Index and Geographical Relation Ratio are used to observe the spatial structure between 187 4A attractions and 667 cities over 200 thousands population. A good Equilibrium Index (0 4426) and a relatively high Geographical Relation Ratio (77 87) testify that 4A attractions have a good spatial relationship with their surrounding cities. Precise "corridor" distances between 4A attractions and cities are also investigated. According to the analysis, the average distance between 4A attractions and cities of 500-1 000 thousands population are similar with that of cities of 1 000-2 000 thousands. There is no obvious difference between the former and that between attractions and cities of over 2 000 thousands, too. Findings of analysis are: 1) National 4A tourism attractions are concentrated in some areas in China, i.e. Central China, North China, and South China; 2) Most of the national 4A attractions are located within a short distance away from their source cities.
Keywords:National 4A Tourist Attractions  spatial structure  spatial interaction
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