This study focuses on Shanghai Port, utilizing multi-dimensional data from 2005 to 2024. It examines the impact of various factors on the port's container throughput from four perspectives: infrastructure, economic structure, port efficiency, and port development potential. A multiple linear regression model was constructed to predict Shanghai Port's container throughput. The results indicate that Gross Domestic Product (GDP) and the employed population significantly influence container throughput. After refinement, the model can accurately forecast future container throughput at Shanghai Port, providing a scientific basis for various development plans and decision-making processes.

Keywords: Prediction of Container Throughput in Shanghai Port, Influencing Factors, Multiple Linear Regression, Stepwise Regression.