School of Management, Guangzhou Huashang College, Guangzhou, China.
School of Information, Guangdong University of Finance & Economics, Guangzhou, China.
PLoS One. 2022 Oct 26;17(10):e0276175. doi: 10.1371/journal.pone.0276175. eCollection 2022.
This study was designed to evaluate the spatial distribution characteristics of 1432 beautiful leisure villages in China using econometric geography and spatial geographic information system analysis methods, such as nearest distance index, K index, and nuclear density. We also used the grid cost weighted distance algorithm to determine the spatial accessibility of beautiful leisure villages and the overall accessibility of county units. In addition, our evaluations determined the spatial differences in county accessibility using exploratory spatial data analysis (ESDA). Our results showed that the spatial distribution of the beautiful leisure villages in China could be best described using the cohesion type classification and that there were large differences in their distribution between provinces and economic regions. The average accessibility time of beautiful leisure villages was 197.24 min with only 57.19% of these commutes being less than 2 h, and only 17.88% being less than 30 min. The area with the longest accessibility time was located on the Qinghai Tibet Plateau, at up to 1510.03 min. The spatial distribution of accessibility showed obvious traffic directivity producing a positive Moran I value for most counties. There was also a significant positive correlation between the accessibility of beautiful leisure villages and their adjacent areas, and clear patterns of hot spots-sub-hot spots-sub-cold spots-cold spots from east to west. The overall service scope of beautiful leisure villages was characterized by west > east > middle, with topography, population, economy, and location acting as the major factors in the spatial distribution of these beautiful leisure villages in China.
本研究采用最近邻指数、K 指数和核密度等计量地理学和空间地理信息系统分析方法，评估了中国 1432 个美丽乡村的空间分布特征。还采用网格成本加权距离算法，确定了美丽乡村的空间可达性和县级单位的整体可达性。此外，我们还通过探索性空间数据分析（ESDA）来评估县级可达性的空间差异。研究结果表明，中国美丽乡村的空间分布可以用凝聚型分类来最好地描述，而且在省份和经济区域之间存在很大的分布差异。美丽乡村的平均可达时间为 197.24 分钟，只有 57.19%的通勤时间小于 2 小时，只有 17.88%的通勤时间小于 30 分钟。可达时间最长的地区位于青藏高原，高达 1510.03 分钟。可达性的空间分布显示出明显的交通方向性，大多数县的 Moran I 值呈正相关。美丽乡村的可达性与其相邻地区之间也存在显著的正相关关系，并且从东到西存在明显的热点-次热点-次冷点-冷点模式。美丽乡村的整体服务范围特征为西部>东部>中部，地形、人口、经济和地理位置是中国美丽乡村空间分布的主要因素。
