Measuring Prediction Accuracy in a Maritime Accident Warning System-Reference-Cited by-同舟云学术

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Measuring Prediction Accuracy in a Maritime Accident Warning System

Published:2021-10-20 Issue: Volume: Page:
ISSN:1059-1478
Container-title:Production and Operations Management
language:en
Short-container-title:Production & Oper Manag

Author:

Merrick Jason R. W.¹^ORCID,Dorsey Claire A.²,Wang Bo³,Grabowski Martha⁴⁵,Harrald John R.⁶

Affiliation:

1. Supply Chain Management & Analytics Virginia Commonwealth University 301 West Main Street Richmond Virginia 23284 USA

2. United States Coast Guard Academy New London Connecticut 06320 USA

3. Northeastern University Boston Massachusetts 02115 USA

4. Le Moyne College 1419 Salt Springs Road Syracuse New York 13214 USA

5. Rensselaer Polytechnic Institute 110 8th Street Troy New York 12180 USA

6. The George Washington University Washington District of Columbia 20052 USA

Publisher

Wiley

Subject

Management of Technology and Innovation,Industrial and Manufacturing Engineering,Management Science and Operations Research

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/poms.13581

Reference62 articles.

1. Human fatigue’s effect on the risk of maritime groundings – A Bayesian Network modeling approach

2. An integrated risk assessment based on uncertainty analysis for cargo vessel safety

3. Investigating Operational Predictors of Future Financial Distress in the US Airline Industry

4. A Study on Local Traffic Management to Improve Marine Traffic Safety in the Istanbul Strait

5. Network based approach for predictive accident modelling

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Maritime accident risk prediction integrating weather data using machine learning;Transportation Research Part D: Transport and Environment;2024-11

2. Predicting maritime accident risk using Automated Machine Learning;Reliability Engineering & System Safety;2024-08

3. Using near misses, artificial intelligence, and machine learning to predict maritime incidents: A U.S. Coast Guard case study;Risk Analysis;2024-07-15

4. Statistical analysis of vessel loss of command frequency;Maritime Transport Research;2024-06

5. A data-driven risk assessment of Arctic maritime incidents: Using machine learning to predict incident types and identify risk factors;Reliability Engineering & System Safety;2024-03

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