IDENTIFYING PROBABLE MARITIME PIRACY EVENTS USING MARITIME INCIDENT DATA

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dc.contributor.advisorKoyak, Robert A.
dc.contributor.authorYeo, Jun Yi
dc.contributor.departmentOperations Research (OR)
dc.contributor.secondreaderSchuchard, Ross J.
dc.date.accessioned2023-10-31T17:15:47Z
dc.date.available2023-10-31T17:15:47Z
dc.date.issued2023-09
dc.description.abstractMaritime 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.en_US
dc.description.distributionstatementApproved for public release. Distribution is unlimited.en_US
dc.description.serviceCivilian, DSTA, Singaporeen_US
dc.identifier.curriculumcode360, Operations Analysis
dc.identifier.thesisid39210
dc.identifier.urihttps://hdl.handle.net/10945/72416
dc.publisherMonterey, CA; Naval Postgraduate Schoolen_US
dc.rightsCopyright is reserved by the copyright owner.en_US
dc.subject.authormaritime securityen_US
dc.subject.authorpiracyen_US
dc.subject.authordata analysisen_US
dc.subject.authorshippingen_US
dc.subject.authormaritime incidentsen_US
dc.titleIDENTIFYING PROBABLE MARITIME PIRACY EVENTS USING MARITIME INCIDENT DATAen_US
dc.typeThesisen_US
dspace.entity.typePublication
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.nameMaster of Science in Operations Researchen_US
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