An Accident-causing Model under the Perspective of Safety Information Flow

Abstract

Abstract:

In order to enrich the theoretical system of accident causation and open a perspective for system safety research, we construct an accident-causing model based on safety information flow. Firstly, the necessity and feasibility of the model based on safety information flow is demonstrated. Secondly, the modeling theoretical foundation is argued from three aspects, which are the connation and classification of safety information, the connation and structure of safety information flow, and safety information force. Thirdly, the accident definition under the view of safety information flow is discussed; and then, based on system granularity, the accident causation factor is classified into three dimensional, namely micro, meso, and macro; from system components perspective, the system safety factors are divided into six human-oriented aspects that can be unified into information. Lastly, we construct an accident causation model based on safety information flow, analyze its connation and theoretical and practical value is, and apply the proposed model in a case study. The research results shed light on the accident-causing mechanism based on safety information flow and provide new methods and new ideas for accident investigation and analysis. The case study indicates that complex social-technical system accident caution can be deeply analyzed by using the proposed model.

Key words: accident causation model, safety information, information flow, system safety, information management

Huang Lang, Wu Chao, Ma Jian. An Accident-causing Model under the Perspective of Safety Information Flow[J]. , 2020, 32(4): 274-285.

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