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https://doi.org/10.62836/emi.v4i1.284
Yang, Y. . (2025). Qingdao Port Throughput Prediction-Based on Grey Prediction Model. Economics & Management Information, 1–7. https://doi.org/10.62836/emi.v4i1.284
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Qingdao Port Throughput Prediction-Based on Grey Prediction Model

Since Qingdao has been integrated into the “Belt and Road” initiative, the throughput of Qingdao Port has been developing rapidly, but at the same time, the rapid growth of throughput has overwhelmed port infrastructure. Therefore, it is of great significance to measure the throughput scale and study the development trend of throughput. Based on the data of cargo throughput and container throughput of Qingdao port from 2019 to 2022, the grey prediction GM(1,1) model was established and tested using EXCEL, Pycharm64, MATLAB, and mathematical modeling methods. The model is proven to be available, and the cargo and container throughputs of Qingdao Port from 2023 to 2026 are predicted. The results show that the cargo and container throughputs of Qingdao Port increase annually, and the development potential of container transportation is huge. The port department should strengthen the planning and design of the port’s throughput capacity, improve it, and meet the growing actual needs of the port.

Qingdao port; throughput; grey prediction model

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Supporting Agencies

  1. Funding: Not applicable.