Forecasting long - term container port throughput with a regression model: Case of Dong Nai Port - 2050

Abstract

The forecast of cargo through the port is not only important for port management but also important for infrastructure planning. In recent years, sea container freight has increased quickly. Therefore, the container is through port forecasting models. The research builds long-term containers through port forecasting models applied to the Dong Nai port as a reference. The study has established correlations between important economic indicators from 2010 to 2020, such as total local product, total export and import turnover, industrial, agricultural value, and foreign direct investment with container volume to build a forecasting model. The model is validated by hindcasting containers through Dong Nai port in 2021, and a suitable forecasting model is selected to forecast the container volume until 2050.