According to the historical data of Tianjin port cargo throughput, some prediction models of cargo throughput in this port are established by means of regression prediction model, logistic model and combined model. Comparing the mean relative errors among the three models, it is shown that the smallest mean relative error of the combined model is the least. So, by the combined forecasting method for port’s throughput prediction, we can decrease the error and improve the forecasting accuracy.