瓶颈
中国
可持续发展
空间分析
共同空间格局
聚类分析
投影寻踪
地理
索引(排版)
分布(数学)
环境资源管理
空间分布
区域科学
业务
计算机科学
环境科学
统计
遥感
政治学
数学
人工智能
嵌入式系统
考古
万维网
数学分析
法学
作者
Xinhai Lu,Yanwei Zhang,Chaoran Lin,Feng Wu
标识
DOI:10.1016/j.jclepro.2021.127205
摘要
Based on UN 2030 Sustainable Development Goals (SDGs), this study selects 43 indicators from three dimensions to construct an evaluation index system for sustainable land use (SLU). Thirty provincial administrative regions in China from 2002 to 2018 are chosen to comprise the study area. Real-coded accelerating genetic algorithm–projection pursuit techniques and an exploratory spatial data analysis model are used to study the spatiotemporal differences in the SLU levels of the provinces in China. Results show the following: (1) During the study period, the SLU level in China demonstrated an overall upward trend of fluctuations, along with obvious regional differences. (2) The spatial pattern of the SLU level in China was high in the eastern region and low in the western region in the east–west direction; for the north–south direction, an inverted U-shaped distribution was noted. (3) The main types of local spatial autocorrelation are H–H and L–L types, and both have evident spatial clustering characteristics. (4) The realization of Goal A is the main driving force for the improvement of the SLU level, whereas the failure to realize Goals B and C effectively is the main bottleneck in the improvement of the SLU level.
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