In this research, an attempt was made to obtain a model for the direct estimation of household urban public transportation demand according to the national household travel monitoring data. In this research, first, the variable that obtained the highest significance levels in the previous studies is entered into the model as the first input, and then the next variable is entered into the model as in the previous method, and its significance levels in the first variable presence. It is measured. The significance levels of the first variable are also measured. Next, each variable is entered into the model in the same way, and first, the significance levels of the entered variable are measured along with other variables, and then the significance levels of the previous variables are measured in the presence of the new variable. Results showed that there is a positive correlation between the household’s number and the demand for public transportation. There is no significant difference in public transport demand in two variable conditions of the public transport vehicles, therefore the percentage of public transport vehicles cannot affect public transport demand. With the help of the step-by-step method, the significance level of each variable was obtained along with the other variable, and the direction of its effect was also found in this direction. The adjusted coefficient of determination was equal to 0.892. According to the F-statistic, which is equal to and its significance level is 0.003, it can be seen that the model has the necessary accuracy.