Port (circuit theory)

Engineering

China

Economics

Computer science

Business

Political science

Crew

Economy

Maritime security

Logistic regression

Machine learning

Aeronautics

Electrical engineering

Marine Policy

Marine piracy has traditionally been a serious threat to marine security, highlighting the great significance of piracy risk assessment and prevention to the marine industry and global economy. This study uses data on piracy attacks between 1994 and 2017 to estimate the probability of a vessel being attacked by pirates and the success rate of piracy attacks. The results of the employed binary logistic regression model show that small vessels and open registry vessels are more likely to be targeted by pirates. Further, the probability of successful boarding by pirates is higher for a vessel at berth or anchor, at night, in territorial waters and port areas, and in South America, the South China Sea, and the Strait of Malacca. Moreover, the rate of successful boarding will decreases from 99.42% to 86.71% if crews take passive measures and decreases further to 9.39% if crews take active measures. These results can not only be used by stakeholders to estimate the likelihood of piracy incidents, but can also provide information on how and the extent to which the identified factors influence piracy, helping marine stakeholders take appropriate anti-piracy measures. Moreover, these results can also be used for crew training and education to counter pirates as well as to help insurance companies set a premium rate for the different risk levels calculated by the model.

Marine piracy prediction and prevention: Policy implications