Citation

Li Z, Niu Y, Fan Y, Wang R. China Saf. Sci. J. 2020; 30(6): 121-127.

Copyright

(Copyright © 2020, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2020.06.018

PMID

unavailable

Abstract

In order to fully explore differences of truck accident characteristics in different regions and prevent high occurrence of truck accidents, methods such as taxonomy and social network analysis were applied to study data of major accidents in Zhejiang from South and Jilin Province from North respectively. Then, based on preliminary classification analysis of data, a network diagram of influencing factors and a ranking table of centrality were constructed, and two sets of data were compared. The results show that there are great differences in number, severity, cause and complexity of truck accidents between two provinces. Weather condition, vehicle type and fatigue driving are important factors that affect accident severity while region difference, weather and driving experience exert comparatively significant influence on unsafe driving behaviors. © 2020 China Safety Science Journal

Language: zh