山东、河南为显著的高高类型区域，基于2001—2018年31个省市自治区面板数据，based on panel data of 31 provinces and autonomous regions in China from 2001 to 2018，which was then visualized by employing ArcGIS software.Then， In order to study temporal and spatial evolution characteristics of Chinas road safety level and provide a basis for regional transportation planning，股权激励，and the global agglomeration of national road traffic safety level has transformed from significant agglomeration in 2005 to the randomness in 2018.In 2005，全国路线交通安详程度的全局集聚性从2005年的显著集聚向2018年的随机性转化。

广东为显著的低低类型区域。

江苏为显著的高高类型区域，but Guangdong were marked areas of low-low types.In 2018，广东、湖南为显著的上下类型区域，西藏为显著的低高类型区域， 摘要 为理解全国路线交通安详程度的时空规划演化特征，运用主身分剖析法剖析各地区的路线交通安详程度;并用ArcGIS软件对其可视化;最后用摸索性空间数据剖析法(ESDA)对整体及部分地区别离停止空间相关性剖析，principal component analysis method was used to calculate road safety level of each region，。

山西为显著的低高类型区域。

spatial correlation analysis was conducted on the whole and local regions by ESDA.The results show that the total number of traffic accidents in China has declined in 2001-2018，while Tibet was a significant low-high area，2005年。

钻研成果表白:2001—2018年全国路线交通事故发生起数整体呈下降趋势，2010年，山西为显著的低高类型区域，为区域交通结构提供按照，Shanxi was that of low-high types，2018年，Jilin and Sichuan were significant high-high areas，Shanxi，Sichuan，吉林、四川为显著的高高类型地区，and Guangdong became low-low area.In 2015，and Guangdong and Hunan were significant high-low ones. ，and Liaoning were marked areas of high-high types，2015年，Shandong and Henan became significant areas of high-high types，广东为显著的低低类型区域，and Zhejiang and Guangdong were significant low-low areas.In 2010，四川、山西、辽宁为显著的高高类型区域，Jiangsu was a significant high-high area。

浙江、广东为显著的低低类型区域。

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