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Lei Liu, Yong Zhang, Chen Chen, Yue Hu, Cong Liu and Jing Chen
The purpose of this study is to investigate whether spatial-temporal dependence models can improve the prediction performance of short-term freight volume forecasts in inland ports. To evaluate the effectiveness of spatial-temporal dependence forecasting...
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Hang Yang, Xiaoqing Li, Bing Wu
Pág. 3840 - 3854
The forecast of the scale of highway network is of great importance in the planning of regional highway network. This paper is to seek a hybrid method to improve the accuracy and reliability of scale-forecast and obtain the optimal hierarchical structure...
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J.A. Moscoso-López, I.J. Turias Turias, M.J. Come, J.J. Ruiz-Aguilar, M. Cerbán
Pág. 108 - 114
Forecasting of future intermodal traffic demand is very important for decision making in ports operations management. The use of accurate prediction tools is an issue that awakens a lot of interest among transport researchers. Intermodal freight forecast...
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Alexandros M. Goulielmos
The inability of carriers to forecast ?demand for containerships? led them to order larger ships. Maritime economists were also unable to forecast it. The new-buildings cut cost per TEU, but ?estimated economies of scale? are exhausted with ships beyond ...
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