Translated Title
Construction and analysis of the causal network of electric power personal injury and death accidents
Translated Abstract
The approach of integrating the accident causation＂2-4＂model with social network analysis University of California at Irvine NETwork(UCINET)is presented to clarify the causes of electric power personal injury and death accidents and their relationships.Firstly,109 investigation reports of electric power personal injury and death accidents in China from 2014 to 2022 are chosen for a systematic examination of accident cases using the accident causation＂2-4＂model.The analysis of guiding behavior,operating behavior,habitual behavior,one-off behavior and conditions,and external influences on the organization yields 71 accident causative factors.These factors include 5 categories of factors external to the organization deficiencies,32 categories of unsafe actions deficiencies,11 categories of unsafe physical conditions deficiencies,5 categories of individual capability deficiencies,11 categories of management system deficiencies or poor implementation,and 7 categories of safety culture deficiencies.Secondly,the analyzed accident causative factors are used to construct a causative network of electric power personal injury and death accidents,and the analyzed accident data are used for social network matrix analysis after binarization.Finally,the centrality and cohesiveness of subgroups are analyzed using the social network analysis software UCINET to determine the key causative factors and pathways of electric power personal injury and death accidents.The research results indicate that insufficient knowledge of power safety,weak safety awareness,and a lack of understanding of the concept of preventing all accidents are key factors leading to accidents in the core area of the power accident-cause network.The significant effect path analysis reveals that the unclear boundaries and responsibilities of the electric power safety regulatory agencies interact with 15 cause factors.This factor has a strong ability to control the transmission of risk,which affects the safety of the company and should be emphasized.Because of the high association between the cohesive groupings,other accident-causing elements can readily be induced,culminating in accidents.
Translated Keyword
24 Model
accident cause
electric power accident
safety engineering
University of California at Irvine NETwork(UCINET)
Access Number
WF:perioarticalaqyhjxb202406028
