Abstract: Taking China Import and Export Fair (CICF) as the study object, the event-related passenger flow composition and distribution characteristics are analyzed. Then, based on historical passenger flow data, the extraction method of station passenger flow during CICF is proposed. On this basis, a metro station passenger flow forecast model during CICF is estimated by using the grey prediction theory, and the model is verified according the metro station passenger flow data of the autumn CICF in 2018. The results show that the proposed method can effectively predict the metro station passenger flow during CICF.