江苏省乡村旅游地空间分布及其影响因素研究

本文以江苏省657家星级乡村旅游地为研究样本,综合运用最邻近指数、核密度估计、缓冲区分析、地理探测器等多种空间分析与统计方法,探究江苏省乡村旅游地空间分布特征及其影响因素。研究结果表明：（1）江苏省乡村旅游地呈集聚分布,在苏北地区呈单核心空间分布,在苏中、苏南地区连绵呈环状分布格局。（2）江苏省乡村旅游地具有“沿路傍水” “环城近景”的分布特征,100万城镇人口是乡村旅游地集聚发展的门槛,大城市周边更容易形成乡村旅游地聚集区。（3）单因子探测结果发现,江苏省乡村旅游地空间分布受多种因素的综合影响,其中经济因素影响程度最高,其次是自然因素和社会因素。（4）双因子交互探测结果显示,经济、社会、自然因素间的交叉作用显著性突出,空气质量与第一产业是乡村旅游地发展的前提条件,交通运输是基础性保障因素,邻近拥有富裕客源的大城市是促使乡村旅游地集聚发展的根本原因。研究结果可为区域乡村旅游产业的布局优化与可持续发展提供参考。

Research on the spatial distribution of rural tourist attractions in Jiangsu Province and its influencing factors

In the post epidemic era, peripheral tourism, self-driving tourism, and self-help tourism have become the new normal of tourism development, which provides an important opportunity for the development of rural tourism. Choosing 657 star-rated rural tourist attractions in Jiangsu Province as the research samples, this paper aims to analyze the spatial distribution characteristics and its influencing factors of rural tourist attractions by using various spatial analysis methods, such as nearest neighbor index, kernel density estimation, buffer analysis, and geographic detector model. The results show that the rural tourist attractions in Jiangsu Province are distributed in a state of concentration. It is distributed in the form of single-core in the north, and in the shape of ring in the middle and south. The rural tourist attractions are mostly distributed near the roads and water, around the city, and closed to scenic spots. Various factors interact with each other and influence the spatial distribution of rural tourist attractions, among which economic factors are fundamental to the distribution of the rural tourist attractions, followed by the natural and social factors. Pairwise interaction analysis suggests that any combination between influencing factors has greater effects than that of any single factor. Interactive effect between the rate of the first industry and average slope is the strongest. The results are expected to contribute to the layout optimization and the sustainable development of regional rural tourism industry.