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Monitoring port congestion based on vessel stay behavior recognition: A case study of two US ports around COVID-19 pandemic | Synapse
March 3, 2026
Monitoring port congestion based on vessel stay behavior recognition: A case study of two US ports around COVID-19 pandemic
RX
Rui Xin
Shandong University of Science and Technology
QZ
Qianle Zhu
Shandong University of Science and Technology
JW
Jiaoe Wang
Chinese Academy of Sciences
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Key Points
Vessel stay behavior significantly affects port congestion levels during the pandemic,
Data analysis showed increased congestion at some times due to altered vessel schedules,
Analysis of vessel behavior across two US ports during the COVID-19 pandemic,
Understanding these patterns may enable better logistics and operation management in future crises.
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Xin et al. (Tue,) studied this question.
synapsesocial.com/papers/69a7617dc6e9836116a2f81f
https://doi.org/https://doi.org/10.1016/j.jtrangeo.2026.104600