Research conclusions：The concept of "Traveler Income Level" has been used for the travel mode share prediction mode,l a new travel mode resistance function is defined, and also, a new improved four-stage passenger volume prediction model is presented. Finally, taking Wukesong Station of line 1 of Beijing subway as an example, the peak passenger volume of Wukesong Station is predicted forecast with the method presented in this paper. Through comparison of the predicted volume with actual passenger volume, it is proved that the method is a quick and efficient method for predicting passenger volume.