IDENTIFYING PROBABLE MARITIME PIRACY EVENTS USING MARITIME INCIDENT DATA
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Authors
Yeo, Jun Yi
Subjects
maritime security
piracy
data analysis
shipping
maritime incidents
piracy
data analysis
shipping
maritime incidents
Advisors
Koyak, Robert A.
Date of Issue
2023-09
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
Maritime security and piracy incidents continue to pose significant risks to commercial navigation in spite of the fact that these incidents have decreased. In 2021, the strategically important Gulf of Guinea and Singapore Straits remained as the most prominent piracy hotspots. Using data from 2014, Desai and Shambaugh estimated the economic cost to the shipping industry from maritime piracy at more than U.S. $16 billion per year, which impacts international shipping industries and is often associated with violence in which hostages with injuries or deaths are involved. In addition, shipping companies have also privately succumbed to pirates’ demands through failing to report incidents of attack, and these suppressions worsen maritime security. As part of International Maritime Organization’s (IMO) agenda to enhance maritime security, the organization publishes acts of piracy and armed robbery incidents as part of the Global Integrated Shipping Information System (GISIS). Our study aims to exploit the available dataset with geospatial and vessels’ static details to provide descriptive statistical information about maritime piracy events, such as piracy hotspots. Time series analysis and clustering analysis is applied in the study to predict incident trends and identify piracy hotspots within the given time and space.
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Thesis
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Series/Report No
Department
Operations Research (OR)
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Distribution Statement
Approved for public release. Distribution is unlimited.
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Copyright is reserved by the copyright owner.