A Review of Research on Port Throughput Forecasting
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Tieshan Li | Yang Xiao | Yi Zuo | C. L. Philip Chen | Yiying Li | Qihe Shan | Xiaoqing Fan
[1] Zong Bei-hua. Nonlinear combined prediction of port throughput based on support vector machine regression , 2005 .
[2] G. S. Dwarakish,et al. Review on the Role of Ports in the Development of a Nation , 2015 .
[3] Zhang Ping,et al. Prediction Model of Port Throughput Based on System Dynamics , 2006 .
[4] Gu Pang,et al. Forecasting container throughput using aggregate or terminal-specific data? The case of Tanjung Priok Port, Indonesia , 2015, Int. J. Prod. Res..
[5] Qu Li-l. Port Throughput Time Series Prediction Based on Dynamic Integration Algorithm , 2014 .
[6] Yu Siqin. Influence factors of foreign trade cargo throughput of China's coastal ports based on trade gravity model , 2011 .
[7] Lu Qing. Application of Combinatorial Model with Corrected Residual Error in Harbour Throughput Forecasting , 2012 .
[8] Gyei-Kark Park,et al. Empirical Analysis of Influence Factors to Container Throughput in Korea and China Ports , 2011 .
[9] José Antonio Moscoso López,et al. Forecasting Freight Inspection Volume Using Bayesian Regularization Artificial Neural Networks: An Aggregation-Disaggregation Procedure , 2017, SOCO-CISIS-ICEUTE.
[10] Supaporn Kiattisin,et al. A Comparison of Traditional and Neural Networks Forecasting Techniques for Container Throughput at Bangkok Port , 2011 .
[11] Zhu Mei-hua. The Port Throughput Forecast Model Based on the BP Neural Network , 2012 .
[12] Xin Tian,et al. A TEI@I-Based Integrated Framework for Port Logistics Forecasting , 2009, 2009 International Conference on Business Intelligence and Financial Engineering.
[13] Zhou Xi-zhao. The Forecast of Port Throughput Based on G(0,n) Model , 2011 .
[14] Kin Keung Lai,et al. Hybrid approaches based on LSSVR model for container throughput forecasting: A comparative study , 2013, Appl. Soft Comput..
[15] Thierry Vanelslander,et al. A combined approach to forecast container throughput demand: Scenarios for the Hamburg-Le Havre range of ports , 2018, Transportation Research Part A: Policy and Practice.
[16] Jiang Zhi-jua. Prediction Model of Port Throughput Based on BP Neural Network ———The Empirical Research on Qinzhou Port , 2014 .
[17] Thierry Vanelslander,et al. Short-term forecast of container throughout: An ARIMA-intervention model for the port of Antwerp , 2017 .
[18] Sheng Zi-ning. Generalized shrunken principal component least squares estimation and its application in study of China's container port throughput , 2013 .
[19] Kin Keung Lai,et al. Forecasting container throughput of Qingdao port with a hybrid model , 2015, J. Syst. Sci. Complex..
[20] Chi Hong. Preliminary Study on the Methods of Forecast of Harbor Handling Capacity , 2001 .
[21] Gopal R. Patil,et al. Estimation of freight demand at Mumbai Port using regression and time series models , 2016 .
[22] Javed Farhan,et al. Forecasting seasonal container throughput at international ports using SARIMA models , 2018 .
[23] Ching-Wu Chu,et al. A comparison of univariate methods for forecasting container throughput volumes , 2009, Math. Comput. Model..
[24] Fang Feng Ping,et al. Multivariant Forecasting Mode of Guangdong Province Port throughput with Genetic Algorithms and Back Propagation Neural Network , 2013 .
[25] Elen Twrdy,et al. Modeling of container throughput in Northern Adriatic ports over the period 1990–2013 , 2016 .
[26] Deng Hui-fe. Research on Forecast Method of Order with the Combination of Neural Network and Qualitative Forecasting , 2014 .
[27] Jose Tongzon,et al. The rise of Chinese ports and its impact on major ports in East Asia , 2016 .
[28] Gao Qin. Study on the Factors of Port Container Throughput Based on Principal Component Analysis Method , 2008 .