Paper
8 May 2022 Study on forecasting model of port container throughput in China
Peng Cai, Yan Fang, Jialu Wu
Author Affiliations +
Proceedings Volume 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022); 122493L (2022) https://doi.org/10.1117/12.2637041
Event: 2022 2nd International Conference on Internet of Things and Smart City (IoTSC 2022), 2022, Xiamen, China
Abstract
The new corona pneumonia (COVID-19) epidemic is still spreading globally. The critical role of ports in the global economy and logistics system are highlighted. More and more attention is paid to port development trend. Therefore, it is very important to establish a model to forecast the development trend of the port container throughput. This paper quantified the factors affecting container throughput such as economy and foreign trade, and predicted the container throughput of ports in China. In this paper, a multi-factor dynamic model is constructed, which considers macroeconomic growth, foreign trade import and export volume, containerization rate, single container weight, empty and heavy container ratio and other factors. With the data of 2020 as the benchmark, it is comprehensively predicted that by 2025. China's port container throughput will reach 320 million TEU. The container throughput growth will continue to decline. The average annual growth will be 4.0% in the 14th Five-Year Plan period. Further, this model can be used to predict the development trend of port container in 2050. At the same time, the development peak of port container throughput in China can also be analyzed. This conclusion can provide a basis for government departments and enterprises to make decisions.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peng Cai, Yan Fang, and Jialu Wu "Study on forecasting model of port container throughput in China", Proc. SPIE 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022), 122493L (8 May 2022); https://doi.org/10.1117/12.2637041
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KEYWORDS
Performance modeling

Astatine

Coastal modeling

Raw materials

Roads

Transportation security

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