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1993～2008年区域入境旅游流优势度时空动态演进模式——基于改进熵值法的实证研究

ISSN号：1000-0585
期刊名称：地理研究
时间：2012.2.2
页码：257-268
分类：P333.4[天文地球—水文科学;水利工程—水文学及水资源;天文地球—地球物理学]
作者机构：[1]陕西师范大学旅游与环境学院,西安710062, [2]中国旅游研究院,北京100005
相关基金：国家自然科学基金项目（40771058）;国家自然科学基金项目（41001381）; 国家社会科学基金重大项目（10ZD＆051）; 西安市社会科学基金项目（11Y029）联合资助
相关项目：旅游地生态补偿空间范围与标准研究- - 以云南省玉龙县为例

作者：李创新|马耀峰|张颖|魏颖|LI Chuang-xin1,2,MA Yao-feng1,ZHANG Ying1,WEI Ying|2.China Tourism Academy,Beijing 100005,China)|

关键词：入境旅游流, 区域优势度, 时空地域结构, 动态演进模式, Chinese inbound tourism flows, Regional Dominance Index, spatial and temporal regional structure, dynamic evolution mode

中文摘要：

引入优势度的概念,基于改进的熵值法,定量测评1993～2008年中国大陆31个省区的区域入境旅游流优势度。通过三个时间段的区域入境旅游流优势度聚类分异对比,得到以下结论：区域入境旅游流优势度的时空地域格局突出——广东、上海、北京3省（直辖市）优势度极其显著,是中国入境旅游的三大核心;云南、广西、四川、陕西四省（自治区）优势度很显著,是中国西部入境旅游的核心;内蒙古、黑龙江、湖北三省（自治区）优势度较显著,是中国中部入境旅游的热点区域。区域入境旅游流优势度的时空动态演进受到极化效应和涓滴效应的双重影响,还受到梯度推移理论的客观作用;引起优势度空间动态演进的地理因素可归结为自然地理因素和人文地理因素两大类;中国入境旅游流空间梯级网络结构正处于优化调整和良性重组的转型关键期。本文旨在为探索区域入境旅游流的时空地域结构演变特征与潜在机理提供技术支持。

英文摘要：

Using entropy technology improved by standardization,Regional Dominance Indexes of Chinese inbound tourism flows of 31 provinces of China＇s Mainland during 1993 to 2008 are calculated.Through comparison of these indexes of three periods during 1993～2008,which is 1993～1998,1999～2003 and 2004～2008,several conclusions can be drawn as follows. Regional Dominance Indexes of Chinese inbound tourism flows of Guangdong are the highest,so is those of Shanghai and Beijing.As a result,these three provinces become three poles of Chinese inbound tourism.Meanwhile,Regional Dominance Indexes of Chinese inbound tourism flows of Yunnan,Guangxi,Sichuan and Shaanxi are relatively high.Therefore,these four provinces are poles of inbound tourism of western China.Besides,Regional Dominance Indexes of Chinese inbound tourism flows of Inner Mongolia,Heilongjiang and Hubei are high.Hence,these four provinces are hot destinations of inbound tourism of Central China.Thus,regional structure of Regional Dominance Indexes of Chinese inbound tourism flows is prominent.Moreover,it is revealed that the dynamic evolution of Regional Dominance Indexes of Chinese inbound tourism flows is derived from the polarization effect as well as the trickle-down effect,so is the hierarchical diffusion effect.Geographical factors that affect the evolution of Regional Dominance Indexes can be divided into two categories,which are physical geography factors and human geography factors.Furthermore,we have constructed the gradient network structure of Chinese inbound tourism flows,which remains to be optimized and restructured. With entropy technology improved by standardization,this paper analyzes Regional Dominance Indexes of Chinese inbound tourism flows of 31 provinces of China＇s Mainland during 1993～2008,aiming to explore dynamic evolution model of Regional Dominance Indexes of Chinese inbound tourism flows.In addition,it provides technology support for analyses of characteristics and potential mechanism of spatial and temporal evolutions of Chi

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