Citation

Yin D, Shuai B, Huang W, Zhang Y, Zhang R, Zuo B. China Saf. Sci. J. 2020; 30(8): 151-157.

Copyright

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

DOI

10.16265/j.cnki.issn1003-3033.2020.08.022

PMID

unavailable

Abstract

In order to deeply explore causes of road passenger traffic accidents as well as prevent them, a Tropos-FRAM accident analysis method was proposed by replacing functional modules in FRAM with task nodes in Tropos framework. Then, a Tropos-FRAM failure function-event network was constructed by using this method to analyze accidents, and Tropos processing layers were established based on analysis results. Finally, this method was verified with "8·10" especially serious road traffic accidents as an example. The results show that Tropos-FRAM can make up for deficiencies of original model, and deeply explore root causes for failure of participants' functional modules and functional connections, which helps to put forward more effective accident prevention methods. © 2020 China Safety Science Journal. All rights reserved.

Language: zh