has been cited by the following article(s):
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[1]
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Monitoring port congestion based on vessel stay behavior recognition: A case study of two US ports around COVID-19 pandemic
Journal of Transport Geography,
2026
DOI:10.1016/j.jtrangeo.2026.104600
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[2]
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Operational performance evaluation of a container terminal using data mining and simulation
Asian Transport Studies,
2024
DOI:10.1016/j.eastsj.2024.100127
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[3]
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Are transhipment ports more efficient in the Mediterranean Sea? Analysing the role of time at ports using DEA metafrontier approach
Journal of Transport Geography,
2024
DOI:10.1016/j.jtrangeo.2024.103866
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[4]
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Prediction of container port congestion status and its impact on ship’s time in port based on AIS data
Maritime Policy & Management,
2023
DOI:10.1080/03088839.2023.2165185
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[5]
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A Comparative Study of Machine Learning Models for Predicting Vessel Dwell Time Estimation at a Terminal in the Busan New Port
Journal of Marine Science and Engineering,
2023
DOI:10.3390/jmse11101846
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[6]
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Big Data Insights into Container Vessel Dwell Times
Transportation Research Record: Journal of the Transportation Research Board,
2021
DOI:10.1177/03611981211015248
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[7]
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How do economies of density in container handling operations affect ships’ time and emissions in port? Evidence from Norwegian container terminals
Transportation Research Part D: Transport and Environment,
2018
DOI:10.1016/j.trd.2017.12.015
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[8]
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Crane allocation with stability considerations
Maritime Economics & Logistics,
2017
DOI:10.1057/mel.2015.35
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