Background: The effectiveness of safety systems is critical to the realization of their goals. Thereششfore, this study was conducted to investigate the role of safety management systems on accidents and the status of safety performance indicators in a combined cycle power plant in 2011. Materials and Methods: This descriptive-analytical research was carried out in two stages in all Yazd Combin...

Some measures to counter car accident have been taken from various angels in recent times, while their epidemiological consideration has not sufficiently been given. The presentation here is a study on the latter problem. Three elements have to be taken into account when car accident is to be investigated epidemiologically; first, car traffic itself, secondly what is related to main constituent...

background car accidents are one of the major causes of death and serious injuries all over the world. human factors, especially psychological factors play an important role in accident occurrence. objectives this study was conducted in order to determine the relationship between self-control and car accidents based on demographic factors in gonabad, in 2011. patients and methods in this correl...

This study assesses a possible independent effect of sleep-related breathing disorders on traffic accidents in long-haul commercial truck drivers. The study design included integrated analysis of recordings of sleep-related breathing disorders, self-reported automotive and company-recorded automotive accidents. A cross-sectional population of 90 commercial long-haul truck drivers 20-64 years of...

Patients with obstructive sleep apnoea syndrome (OSAS) have an increased car accident rate. Investigations on accident frequency are based on case history, insurance reports and driving simulator studies. The present study combines neuropsychological testing of different attention aspects engaged in driving a car and driving simulation to evaluate a suitable instrument for assessing therapeutic...

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...