Abstract：Research purposes：Based on the analysis of advantages and disadvantages of conventional four-stage passenger volume prediction model, the travel mode share prediction model is modified for the purposes of enhancing the accuracy of passenger volume prediction and providing the basis for design of platform size and other facilities of rail communication station.
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.
李 明，王海霞. 轨道交通车站客流预测模型研究[J]. 铁道工程学报, 2009, 26(3): 67-72.
LI Ming, WANG Hai-xia. Study on the Model for Predicting the Passenger Volume of Rail Communication Station. 铁道工程学报, 2009, 26(3): 67-72.
2009, Vol. 26 
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