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中国资源型景区旅游空间结构研究

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  • 北京大学旅游研究与规划中心, 北京 100871
谢志华(1984- ),男,江西南昌人,硕士研究生,研究方向为旅游空间结构与体育旅游。E-mail:daniel_xzh@163.com。

收稿日期: 2007-10-15

  修回日期: 2008-05-15

  网络出版日期: 2008-11-20

基金资助

国家自然科学基金项目"中国城市居民环城市游憩行为与吸引物空间模式研究"(40371036)资助。

Tourism Spatial Structure of Resources-based Attractions in China

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  • Center for Recreation and Tourism Research, Peking University, Beijing 100871

Received date: 2007-10-15

  Revised date: 2008-05-15

  Online published: 2008-11-20

摘要

选取国家旅游局评定的4A级景区中的509处资源型景区为样本景区,利用地理数学方法的空间分析手段和GIS空间分析工具,从定量和定性两方面分析资源型景区的旅游空间结构。结果表明,资源型景区的空间分布类型属于凝聚型,区域分布均衡性很低,省际差异较大;高密度区域为长三角地区、北京及其周边地区、以西安为中心的关中地区和以洛阳为中心的中原古都区。

本文引用格式

谢志华, 吴必虎 . 中国资源型景区旅游空间结构研究[J]. 地理科学, 2008 , 28(6) : 748 -753 . DOI: 10.13249/j.cnki.sgs.2008.06.748

Abstract

With the rapid development in economy, the tourism industry of China is also booming. Though there are more and more man-made attractions such as Themed Amusement Park, traditional attractions with natural beauty and/or historical sites are still within the most popular choices of tourists. In this article such kind of attractions are named resources-based attraction. Based on former study, the paper makes definition of resources-based attraction. Then it selects 509 resources-based attractions as research samples from 671 National AAAA Tourist Attractions, which were authorized by China National Tourism Administration in 2005. By means of GIS spatial analysis tools and some quantitative analysis methods such as NNI (Nearest Neighbor Index), GCI (Geographic Concentration Index), Gini Coefficient and Lorenz Curve, the paper analyses the spatial structure of 509 resources-based attractions and observes their distribution in 8 geographical regions and 31 provinces in China. The result shows that the value of NNI is as low as 0.57, which means the distribution of 509 resources-based attractions is a type of agglomeration. And the distribution of 509 resources-based attractions in 8 geographical and 31 provinces is asymmetric. According to the Lorenz Curve, more than half of 509 resources-based attractions concentrate in 9 provinces, such as Jiangsu and Zhejiang. Changjiang River Delta, Beijing, Xi’an and Luoyang are the places with a high density of resources-based attractions.

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