in this work, the time series modeling was used to predict the tazareh coal mine risks. for this purpose, initially, a monthly analysis of the risk constituents including frequency index and incidence severity index was performed. next, a monthly time series diagram related to each one of these indices was for a nine year period of time from 2005 to 2013. after extrusion of the trend, seasonali...

conclusions the seatbelt wearing rate among the study participants was much lower than the 90% rate reported among iranian drivers in 2010. mandating seatbelt use, as in most countries, will be more effective if a combination of factors such as changes in vehicle design, road safety, and driver and passenger behavior are taken into account. background seatbelts are a relatively low-cost safety ...

backgrounds and aims: the tehran province was subject to the second highest incidence of fatalities due to traffic accidents in 1390. most studies in this field examine rural traffic accidents, but this study is based on the use of logit models and artificial neural networks to evaluate the factors that affect the severity of accidents within the city of tehran. materials and methods: among the...

background: there is a high prevalence of  occupational injuries due to accidents in construction industries which affect human health. therefore, the exploration and analysis of contributing factors of such accidents can lead to their prevention and the reduction of their consequences. this study was conducted with the aim to identify factors related to occupational injuries and the severity o...

Background: There is a high prevalence of  occupational injuries due to accidents in construction industries which affect human health. Therefore, the exploration and analysis of contributing factors of such accidents can lead to their prevention and the reduction of their consequences. This study was conducted with the aim to identify factors related to occup...

Although several studies have used logit or probit models and their variants to fit data of accident severity on roadway segments, few have investigated accident severity at a railroad grade crossing (RGC). Compared to accident risk analysis in terms of accident frequency and severity of a highway system, investigation of the factors contributing to traffic accidents at an RGC may be more compl...

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...

Pavement rehabilitation could affect the accident severity index (ASI) since restoration measures means more safety for road users. No research or project has been carried out to identify hazard points to build a linear model based on crash severity index. One of the very popular accident severity index models used in all countries is based on linear models to rehabilitate pavements and this pa...

OBJECTIVE Accidental injuries are frequent and their socioeconomic consequences enormous. The present study aimed to identify predictors of the number of days of leave taken in a consecutively selected group of accident victims who sustained severe, mostly life-threatening physical trauma. METHOD One hundred patients with severe accidental injuries who were referred to a trauma surgeons' inte...