The Forecasting and Analysis of Container Throughput at Tianjin Port Based on Combination Forecasting Model

Accurate forecasting of port container throughput is essential for strategic port planning and infrastructure development. This paper systematically employed the GM (1,1) grey prediction model, quadratic exponential smoothing model and ARIMA model to forecast container throughput at Tianjin Port. Subsequently, a combined model was established through weighted integration of these individual predictors. The results demonstrated that the combined model achieved higher predictive accuracy and lower mean error compared to individual model, thereby providing valuable insights for Tianjin Port’s strategic development planning.