Forecasting container port volume: implications for dredging
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DOI: 10.1057/s41278-016-0054-4
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Cited by:
- Natalia Wagner & Izabela Kotowska & Michał Pluciński, 2022. "The Impact of Improving the Quality of the Port’s Infrastructure on the Shippers’ Decisions," Sustainability, MDPI, vol. 14(10), pages 1-22, May.
- Di Zhang & Xinyuan Li & Chengpeng Wan & Jie Man, 2024. "A novel hybrid deep-learning framework for medium-term container throughput forecasting: an application to China’s Guangzhou, Qingdao and Shanghai hub ports," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 26(1), pages 44-73, March.
- M. Milenković & N. Milosavljevic & N. Bojović & S. Val, 2021. "Container flow forecasting through neural networks based on metaheuristics," Operational Research, Springer, vol. 21(2), pages 965-997, June.
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Keywords
container demand forecast; transport network; port choice; stated preference; multinomial logit model; port entrance channel dredging;All these keywords.
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