SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article

Citation

Li J, Zeng X, Sun L, Liu W, Li P. China Saf. Sci. J. 2021; 31(12): 136-143.

Copyright

(Copyright © 2021, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2021.12.018

PMID

unavailable

Abstract

In order to study temporal and spatial evolution characteristics of China's road safety level and provide a basis for regional transportation planning, based on panel data of 31 provinces and autonomous regions in China from 2001 to 2018, principal component analysis method was used to calculate road safety level of each region, which was then visualized by employing ArcGIS software. Then, 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, and the global agglomeration of national road traffic safety level has transformed from significant agglomeration in 2005 to the randomness in 2018. In 2005, Jilin and Sichuan were significant high-high areas, while Tibet was a significant low-high area, and Zhejiang and Guangdong were significant low-low areas. In 2010, Shandong and Henan became significant areas of high-high types, Shanxi was that of low-high types, and Guangdong became low-low area. In 2015, Sichuan, Shanxi, and Liaoning were marked areas of high-high types, but Guangdong were marked areas of low-low types. In 2018, Jiangsu was a significant high-high area, and Guangdong and Hunan were significant high-low ones. © 2021 China Safety Science Journal. All rights reserved.


Language: zh

NEW SEARCH


All SafetyLit records are available for automatic download to Zotero & Mendeley
Print