%0 Journal Article %T 甘肃省乡村旅游示范村空间分布及影响因素研究 %T SPATIAL DISTRIBUTION AND INFLUENCING FACTORS OF RURAL TOURISM DEMONSTRATION VILLAGES IN GANSU PROVINCE %A 王耀斌,宋颖,黄珊,陈海龙,张丽霞 %A Wang Yaobin %A Song Ying %A Huang Shan %A Chen Hailong %A Zhang Lixia %J 中国农业资源与区划 %J Chinese Journal of Agricultural Resources and Regional Planning %@ 1005-9121 %V 41 %N 07 %D 2020 %P 240-247 %K GIS技术乡村旅游示范村空间分布影响因素甘肃省 %K GIS technology; rural tourism demonstration villages; spatial distribution; influencing factors; Gansu province %X [目的]通过考察并分析甘肃省乡村旅游示范村的空间分布特征以及影响因素,试图揭示其空间分布规律,为今后甘肃省乡村旅游示范村发展与布局提供科学依据,为西北地区其他省份乡村旅游发展提供参考借鉴。[方法]以甘肃省在建的206个乡村旅游示范村为研究对象,综合运用最邻近指数、地理集中指数、基尼系数、核密度分析、空间自相关等方法,研究甘肃省乡村旅游示范村空间分布规律,并剖析其影响因素。[结果]最邻近指数R=071,表现为凝聚型分布,地理集中指数Z=2673,均匀度C=0016,表现为非均衡集中分布; 空间自相关分析未通过显著性检验; 根据核密度分析的集聚程度,将示范村空间分布划分为三大片区,共形成5个中心区, 1个次中心区。[结论]甘肃省乡村旅游示范村整体呈凝聚型分布,区域分布呈现出非均衡集中型状态,空间自相关性不显著; 乡村旅游示范村密度在空间上分布差异较大,呈现出多中心发展格局。乡村旅游示范村的分布格局受地形地貌与水文等自然因素以及政策、人口与经济、客源市场与交通、文化等人文因素共同影响。 %X This study investigates the spatial distribution characteristics and influencing factors of 206 rural tourism demonstration villages in China′s Gansu province by using the nearest neighbor index, geographical concentration index, Gini coefficient, kernel density analysis, spatial autocorrelation. Empirical results can reveal the spatial distribution rules and provide scientific basis for the development and distribution of the rural tourism demonstration villages in Gansu province and areas in the northwest of China. The results were showed as follows. Specifically, the nearest index R=0.71, showing a condensed distribution, and the geographical concentration index Z=26.73, and the uniformity C=0.016, showing an unbalanced concentrated distribution. Moreover, spatial autocorrelation analysis did not pass the significance test. According to the concentration degree of kernel density analysis, the spatial distribution of the demonstration village could be divided into three areas, forming five central areas and one subcentral area. The major findings are summarized as follows. First, rural tourism demonstration villages in Gansu province are agglomerated, and the regional distribution is unbalanced and centralized, and the spatial autocorrelation is not significant. Second, the density of rural tourism demonstration villages varies greatly in spatial distribution, presenting a multicenter development pattern. Finally, the distribution pattern of rural tourism demonstration villages is influenced by natural factors such as landform and hydrology, as well as human factors such as policy, population and economy, tourist market and transportation and culture. %R %U http://cjarrp.com/zgnyzyyqh/ch/reader/view_abstract.aspx %1 JIS Version 3.0.0