Guidance on integrating Human Reliability Assessment in Quantitative Risk Assessment

Author(s):  
Koen van de Merwe ◽  
Sondre Øie ◽  
Sandra Hogenboom ◽  
Andreas Falck
2019 ◽  
pp. 528-543
Author(s):  
Khashayar Hojjati-Emami ◽  
Balbir S. Dhillon ◽  
Kouroush Jenab

Human error has played a critical role in the events precipitating the road accidents. Such accidents can be predicted and prevented by risk assessment, in particular assessing the human contribution to risk. As part of the Human Reliability Assessment (HRA) process, it is usually necessary not only to define what human errors can occur, but how often they will occur. Lack of understanding of the failure distribution characteristics of drivers on roads at any given time is a factor impeding the development of human reliability assessment and prediction of road accidents in order to take best proactive measures. The authors developed the complete investigation methodology for crash data collection. Furthermore, they have experimentally tested the proposed predictive behavioral characteristics of drivers in light of their instantaneous error rate over the course of driving period to assist processing and analysis of data collection as part of risk assessment. The findings of this research can assist road safety authorities to collect the necessary data, to better understand the behavioral characteristics of drivers on roads, to make more accurate risk assessments and finally to come up with right preventive measures.


2014 ◽  
Vol 5 (4) ◽  
pp. 1-15
Author(s):  
Khashayar Hojjati-Emami ◽  
Balbir S. Dhillon ◽  
Kouroush Jenab

Human error has played a critical role in the events precipitating the road accidents. Such accidents can be predicted and prevented by risk assessment, in particular assessing the human contribution to risk. As part of the Human Reliability Assessment (HRA) process, it is usually necessary not only to define what human errors can occur, but how often they will occur. Lack of understanding of the failure distribution characteristics of drivers on roads at any given time is a factor impeding the development of human reliability assessment and prediction of road accidents in order to take best proactive measures. The authors developed the complete investigation methodology for crash data collection. Furthermore, they have experimentally tested the proposed predictive behavioral characteristics of drivers in light of their instantaneous error rate over the course of driving period to assist processing and analysis of data collection as part of risk assessment. The findings of this research can assist road safety authorities to collect the necessary data, to better understand the behavioral characteristics of drivers on roads, to make more accurate risk assessments and finally to come up with right preventive measures.


2017 ◽  
Vol 7 (2) ◽  
Author(s):  
Evica Stojiljković ◽  
Bojan Bijelić ◽  
Marko Cvetković

Human reliability assessment is becoming increasingly important in risk assessment in all industrial systems. All methods for human reliability assessment are used to estimate human error probabilities, which is a measure of human reliability. Human error assessment is certainly a challenge fo r all the experts involved in risk assessment today. In Serbia, this issue has not received proper attention yet. Therefore, this paper presents the case study which confirmed that the usage of Absolute Probability Judgement for proper human reliability assessment. This approach was used in a case study of the Electric Power Company in Serbia (hereinafter EPCS) for the purpose of the analysis accident of a repair intervention on a 10/0.4 kV steel lattice tower “Nova Kolonija” (jurisdiction of EPCS, Veliki Trnovac, ED “Jugoistok”, Nis, Serbia). The case study performed at the EPCS has confirmed that the conventional APJ approach is not only highly applicable for quantification of human errors, but also comprehensive and simple to use in risk assessment of complex systems. Key words: Absolute Probability Judgement, Human Reliability Assessment, Accident, Case Study


2013 ◽  
Vol 19 (3) ◽  
pp. 521-527 ◽  
Author(s):  
Song YANG ◽  
Shuqin WU ◽  
Ningqiu LI ◽  
Cunbin SHI ◽  
Guocheng DENG ◽  
...  

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