In this study the economic factors affecting road accidents are investigated through the environmental Kuznets hypothesis (EKC) framework. Based on the hypothesis, the road mortality rate increases in the early stages of economic growth and ultimately because of technical progress, increase in the related investments, and improve in medical care, the road mortality rate decreases as the economic growth increases.Therefore, in this study the relationship between road mortality and economic growth is analyzed in econometric methods framework, OLS, for the time period 1971-2009. Results obtained from this study show that there is a relationship between economic growth and Traffic fatalities, so that Traffic fatalities have increased along with economic growth till reaching to a critical point, and after that will reduce. In other words, the same relation to the Kuznets inverted U- is shaped for Traffic fatalities and per capita GDP relation for Iran.The other results obtained in this study indicate that there is a negative relationship between Traffic fatalities with investment in transport infrastructure, improvement of health care and cultural indicators, and also a positive relationship with the number of vehicles per capita rate.

Dear Editor-in-Chief, Alcohol causes a number of behavioral disorders, sensory function, motor skills, and thanks to that, it is an important accentogenic factor in road Traffic accidents (RTA) (1). In this cross-sectional autopsy study, we investigated the sixteen years period of fatal RTA in central Serbia regarding the alcohol abuse. Autopsies were performed at the Department of Forensic Medicine and Toxicology, University Clinical Centre of Kragujevac (approval of the Ethical Committee 18/10/2016, No 01/13221). The samples were divided into two groups. The first included cases from 2001-2009 –,at which time the old Traffic safety law was in force,the legal limit for blood alcohol concentration (BAC) for drivers was 0. 5 g/l. . .

Background: Injuries and deaths from road Traffic crashes are one of the main public health problems throughout the world. This study aimed to identify determinants of fatality Traffic accident in Iran for the twenty-span year from 1991 to 2011.Methods: A time series analysis (1991-2011) was used to examine the effects of some of the key explanatory factors (GDP per capita, number of doctors per 10,000 populations, degree of urbanization, unemployment rate and motorization rate) on deaths from road Traffic in Iran. In order to examine long- and short-run effects of variables, we employed autoregressive distributed lag (ARDL) approach and error correction method (ECM). The data for the study was obtained from the Central Bank of Iran (CBI), Iranian Statistical Center (ISC) and Legal medical organizations (LMO).Results: GDP per capita, doctor per 10,000 populations, degree of urbanization and motorization rate had a significant impact on fatality from road Traffic in Iran. We did not observe any short- and long-term effects of the unemployment rate on fatality from road Traffic.Conclusions: GDP per capita, doctor per 10,000 populations, degree of urbanization and motorization rate were identified as main determinant of fatality from road Traffic accidents in Iran. We hope the results of the current study enable health policy-makers to understand better the factors affecting deaths from road Traffic accidents in the country.