Background: One of the important actions for enhancing human reliability in any industry is assessing human error probability (HEP). The HEART technique is a robust tool for calculating HEP in various industries. The traditional HEART has some weaknesses due to expert judgment. For these reasons, a hybrid model is presented in this study to integrate HEART with Best-Worst Method.Materials MethodIn this study, the blasting process in an iron ore mine was investigated as a case study. The proposed HEART-BWM was used to increase the sensitivity of APOA calculation. Then the HEP was calculated using conventional HEART formula. A consistency ratio was calculated using BWM. Finally, for verification of the HEART-BWM, HEP calculation was done by traditional HEART and HEART-BWM. Results: In the view of determined HEPs, the results showed that the mean of HEP in the blasting of the iron ore process was 2.57E-01. Checking the full blast of all the holes after the blasting sub-task was the most dangerous task due to the highest HEP value, and it was found 9.646E-01. On the other side, obtaining a permit to receive and transport materials was the most reliable task, and the HEP was 8.54E-04. Conclusion The results showed a good consistency for the proposed technique. Comparing the two techniques confirmed that the BWM makes the traditional HEART faster and more reliable by performing the basic comparisons.

OBJECTIVEThis research analyzes data on road traffic accidents (RTA) in Fars province, whose roads are among the highly dangerous ones in Iran. It investigates educational level and age involved in RTA in order to discover patterns that can prevent or decrease accidents.

METHODSThis research made use of data visualization techniques to find hidden patterns. The data included mortality rate related to RTA in Fars province and were obtained from Fars Forensic Medicine Registry covering a period of 1 year from March 21, 2010 to March 21, 2011. All data were analyzed using SPSS 11.5. The results were reported as descriptive indices such as frequency (percentage). The Chi-square test was applied to the data concerning educational level and age. P value less than 0.05 was considered significant.

RESULTSIn the mentioned period, 1 831 people were killed, out of whom un/lowly educated people (69.6%) accounted for the highest mortality rate. The significant relationship between educational level and mortality rate was found (X2 equal to 275.98, P less than 0.0001).Also three was a significant association between age and mortality rate (X2 equal to 371.20, P less than 0.0001). Young people (age between 20 and 29 years) contribute to higher RTA mortality rate compared with other age groups.

CONCLUSIONThe educational level and age are significantly correlated to mortality rate. The youth and un/lowly educated people suffer more fatal RTA.

Accidents, Traffic ; statistics & numerical data ; Adolescent ; Adult ; Age Factors ; Aged ; Child ; Educational Status ; Humans ; Iran ; Male ; Middle Aged