Abstract
By selecting nine indicators related to Tianjin Port throughput in the new era, a PCA-SVR prediction model is constructed and the throughput of Tianjin port in 2017–2018 years is predicted. Based on the predicted results, the growth rate and influencing factors of Tianjin port throughput are analyzed. The research shows that the growth rate of Tianjin Port throughput has a downward trend in the next two years. In numerous influencing factors, the three indicators of the total value of imports and exports of foreign trade commodities, the added value of tertiary industry and Hebei port throughput accounts for the percentage of total throughput of Beijing-Tianjin-Hebei port have a significant impact on Tianjin Port throughput.
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Acknowledgements
This project was supported by Tianjin Philosophy and Social Science Program (No: TJYJ18-017).
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Wei, J., Tang, Y., Yu, Y., Sun, X. (2020). Research on Port Throughput Prediction of Tianjin Port Based on PCA-SVR in the New Era. In: Deng, Z. (eds) Proceedings of 2019 Chinese Intelligent Automation Conference. CIAC 2019. Lecture Notes in Electrical Engineering, vol 586. Springer, Singapore. https://doi.org/10.1007/978-981-32-9050-1_5
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DOI: https://doi.org/10.1007/978-981-32-9050-1_5
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