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The Forecasting and Analysis of Container Throughput at Tianjin Port Based on Combination Forecasting Model School of Transportation, Shanghai Maritime University, Shan
- Format:
- Book
- Conference/Event
- Author/Creator:
- Shi, Yujie, author.
- Conference Name:
- 2025 8th International Conference on Traffic Transportation and Civil Architecture (ICTTCA 2025) (2025-04-18 : Tianjin, China)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2025
- Summary:
- Accurate forecasting of port container throughput is essential for strategic port planning and infrastructure development. This paper systematically employed the GM (1,1) grey prediction model, quadratic exponential smoothing model and ARIMA model to forecast container throughput at Tianjin Port. Subsequently, a combined model was established through weighted integration of these individual predictors. The results demonstrated that the combined model achieved higher predictive accuracy and lower mean error compared to individual model, thereby providing valuable insights for Tianjin Port's strategic development planning
- Notes:
- Vendor supplied data
- Publisher Number:
- 2025-99-0216
- Access Restriction:
- Restricted for use by site license
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