Evaluation Model of the Impact of Rail Transport Development Indicators on the Reduction of Road Accidents

The current research, the impact of rail transport development indicators on the reduction of damages and deaths caused by road accidents during a 20-year period in 1377-99 has been evaluated. the research method and the statistical data used were first introduced, and then the generalized Augmented Dickey-Fuller test was used to check the significance of the variables. Then, to determine the long-term relationship, the Cointegrating co-accumulation test was used between the variables, and then the Granger causality test was used to determine the short-term relationship between the variables. In the last step, the residuals from Cointegrating Regression were calculated and the short-term parameters were obtained by estimating the error correction model. In the last step, the residuals from the Cointegrating regression were calculated and the short-term parameters were obtained by estimating the error correction model. The results show that there is a relationship between the variables of length of railway lines, ton-kilometers of freight transported, person-kilometers of passengers moved and added value in the rail transportation sector, with the variable of deaths in extra-urban road accidents, and this relationship is one-way. This means that with an increase of one percent in the growth of the variables of the length of railway lines and the growth of ton-kilometers of goods transportation and person-kilometers of passenger movement and added value in the rail transportation sector, we witnessed a decrease in the number of deaths in road accidents outside the country by 0.011 and 07.01 We will be 0.24 and 0.115.