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Ship risk prediction: A methodological study

delete2025-08-29
delete0
PRE
AI
冀
冀大雄 (Daxiong Ji)
Z
Zekai Han
Y
Yi Xiao
R
Ran Yan
X
Xuehao Feng
王
王昊 (Hao Wang)
K
Kevin X. Li *
DOI：10.1016/j.tre.2025.104354delete
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Abstract

Abstract

En 中文
• A fusion risk score integrates detention and deficiencies to quantify ship risk. • An SR-LSTM models dynamic ship risk over irregular PSC inspection intervals. • Validation on 81,660 PSC inspections shows superior performance in risk prediction.
Keywords:
fusion risk score
SR-LSTM
dynamic ship risk
irregular inspection intervals
PSC inspections

Journal

Transportation Research Part E-Logistics and Transportation Review cover
Transportation Research Part E-Logistics and Transportation Review
IF:
8.8
Papers:
632
Citations:
2.0W

Organization

B
beijing normal-hong kong baptist university
Scholars:
179
Papers: 113
Citations: 0
N
Nanyang Technological University
Scholars:
4.9W
Papers: 4.8W
Citations: 8.1W
Z
zhejiang university
Scholars:
17.4W
Papers: 12.0W
Citations: 152
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