Safety–Security Analysis of Maritime Surveillance Systems in Critical Marine Areas

Batu Şengül, Fatih Yılmaz and Özkan Uğurlu ()
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Batu Şengül: Security Sciences Institute, Gendarmerie and Coast Guard Academy, Ankara 06830, Türkiye
Fatih Yılmaz: Republic of Türkiye Ministry of Transport and Infrastructure, Ankara 06490, Türkiye
Özkan Uğurlu: Faculty of Marine Science, Ordu University, Ordu 52200, Türkiye

Sustainability, 2023, vol. 15, issue 23, 1-23

Abstract: In today’s world, wherein more than 80% of world trade is carried out by maritime routes, the safety and security of the seas where this trade takes place is of vast importance for nations and the international community. For this reason, ensuring the sustainable safety and security of the seas has become an integral part of the mission of all maritime-related entities. Using big data extracted from the seas and maritime activities into meaningful information with artificial intelligence applications and developing applications that can be used in maritime surveillance will be of great importance for augmenting maritime safety and security. In this article, data sources which can be used by a maritime surveillance system based on big data and artificial intelligence technologies and which can be established around sensitive sea areas and critical coastal facilities, are identified and a model proposal using this maritime big data is put forward.

Keywords: big data; artificial intelligence; maritime surveillance; maritime security; sustainability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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