Abstract: To improve the rationality of integrated passenger hub layout, the relationship between integrated passenger hub classification and passenger transport demand was analyzed, then a hierarchical model with capacity constraints was proposed. Next, immune clonal algorithm was applied to solve the problem. Finally, a numerical example was given to validate the effectiveness of the model and algorithm. The results show that the model is superior to P-median model. In addition, it is reflected that changes of demand have a great impact on hub layout, which provides decision references for hub planning department.