awareness they gain from their surroundings. Recent statistics indicate that about 40 percent of road accident fatalities are pedestrians, 30 percent of which are under 18 years old. Based on the fact that almost two million Iranian students study in the vicinity of rural roads, this paper aims to develop a model for predicting the risk of students’ accidents near the aforementioned schools. Th...

With rapidly changing computer and IT and much of the technology finding way into cars, cars are undergoing histrionic changes in their ability. Although some cars have provisions for deciding to either generate warnings for the human driver or control the car free, they usually must make these decisions in real time with only incomplete information. So, it is important that human drivers still...

Comparative assessment of accident risks in the energy sector is a key aspect in a comprehensive evaluation of sustainability and energy security concerns. Safety performance of energy systems can have important implications on the environmental, economic and social dimensions of sustainability as well as availability, acceptability and accessibility aspects of energy security. Therefore, this ...

The domino sequences found in major accidents have been analyzed for a large set of cases (330); the first event triggering the domino effect was an explosion or a fire, both with approximately the same contribution; the same proportion has been found when all domino effect steps were considered. Although fire effects usually reach a distance much shorter than those of an explosion, as fire is ...

Aim The accident rate in the State Fire Service from 2015 to 2021 related sports activities was analyzed relation regions of country per year. Materials and methods study included analysis data SFS Headquarters – Department for Occupational Health Safety Preventive Health. Data collected across form an annual accident. reports such information as: number accidents, cause circumstances (injury),...

Accident prediction models (APMs) have been extensively used in site ranking with the objective of identifying accident hotspots. Previously this has been achieved by using a univariate count data or a multivariate count data model (e.g. multivariate Poisson-lognormal) for modelling the number of accidents at different severity levels simultaneously. This paper proposes an alternative method to...

background: approximately, 90% of workplace accidents are due to human errors. the study of the relationship between individual differences and accidents and injuries are beneficial in the prevention of these accidents. the aim of the present study was to examine the relationship between extraversion, agreeableness, conscientiousness, and neuroticism and occupational accident rates in the petro...