This paper tries to identify, measure, and analyze the variables that affect rail and road transportation in the hinterland transport network of Imam Khomeini Port using econometrics models and methods. Also, this paper tries to evaluate the effective variables that lead to an increase in the rail and road transport demand in Imam Khomeini Port. In this paper, the share of each variable in the econometrics model is also measured and demand elasticity of each of them is estimated. Data of this study are analyzed using 2SLS method and monthly time series data (from 1385 to 1390). The results of this study show that variables like oil and non-oil tonnage, the number of trucks, rail fleet tonnage, exchange rate, and population have a positive effect on road transportation, while variables like the number of wagons and inflation rate have a negative effect. In the case of rail transportation, results show that variables like oil and non-oil tonnage, the number of wagons, rail fleet tonnage, exchange rate, and population have a positive effect, while variables like the number of trucks and inflation rate have a negative effect.