多尺度下中国休闲乡村空间分布特征及其影响因素研究

ANALYSIS ON SPATIAL DISTRIBUTION CHARACTERISTICS AND INFLUENCING FACTORS OF LEISURE RURAL COUNTRY IN CHINA IN MUTI-SCALE

[目的]中国最美休闲乡村示范点的确立为乡村旅游增添了新的旅游吸引形式,基于各种示范点的乡村旅游,成为新时期我国农村经济实现转型的重要途径之一。通过对中国最美休闲乡村示范点的研究,以期为各省市休闲旅游可持续发展提供借鉴。[方法]文章利用ArcGIS10.2,使用最邻近距离法、不均衡指数、核密度分析、全局莫兰指数等方法,多尺度视角下对220个中国最美休闲乡村示范点的空间分布特征及影响因素进行分析。[结果](1)示范点空间分布不均衡,呈聚集分布状态;(2)示范点空间分布密度存在明显差异,示范点主要分布在省会城市周围,以长三角、京津冀地区分布密度最高,珠三角、闽东南等地次之;(3)无论省域尺度还是县域尺度,示范点的空间分布均具有正自相关性,表明示范点分布在空间上存在依赖性;(4)示范点的空间分布主要受到旅游资源禀赋、区域交通、客源市场、经济发展等因素影响。[结论]中国最美休闲乡村示范点空间分布不均衡,各省市应突出差异竞争,加强区域合作,突出核心区域辐射周边的效应,实现休闲乡村旅游资源空间格局上的优化。

The establishment of China′s most beautiful leisure rural demonstration sites has added a new form of tourism attraction for rural tourism.Rural tourism based on various demonstration sites has become one of the important ways to realize the transformation of rural economy in the new period.In this paper,we used ArcGIS10.2 to analyze the spatial distribution characteristics and influencing factors of 370 China′s most beautiful leisure paradigms on the map by using the nearest neighbor distance method,unbalanced index,kernel density analysis and spatial autocorrelation Moran′s I.The results showed that the distribution pattern of the most beautiful leisure rural demonstration sites was unevenly distributed and tended to aggregate distribution,which belonged to the type of condensed distribution.There were obvious differences in the spatial distribution density of the most beautiful leisure rural demonstration sites.The demonstration sites were mainly distributed around the capital cities,with the highest density in the Yangtze River Delta and Beijing-Tianjin-Hebei regions,followed by the Pearl River Delta and Southeast Fujian.The spatial distribution of the most beautiful leisure rural demonstration sites showed a positive auto correlation,indicating that the distribution of demonstration sites depended on the space in some degree.The spatial distribution of the most beautiful leisure rural demonstration sites is influenced by tourism resource endowment,regional traffic,tourism market and economic development.