An MDCM approach for risk assessment at the polar regions: analysing the antarctic route ice navigation risk parameters

ABSTRACT

Maritime sector-based accidents are the source of major environmental disasters that place the sea environment at risk. It is critical to identify hazards and risk factors to avoid accidents and minimize losses. The importance of the Polar Regions in protecting the global ecosystem and nature has been identified as crucial. An environmental problem in the polar regions will affect the entire ecosystem.

In this study, The Fuzzy-AHP approach was utilized to investigate the causes of the accidents and failures in polar regions. According to the findings, human error is the most crucial risk element, followed by technical, propulsion, radar detection failure, and improper watchkeeping technique risk factors. In the light of the findings, a suggested training course via an axiomatic design approach will reduce the ice navigation risk factors.

KEYWORDS:

• Maritime safety
• ice navigation
• risk assessment
• fuzzy-AHP
• axiomatic design

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Üstün Atak

Üstün Atak, a research assistant in Maritime Transportation Engineering department, has Oceangoing Watchkeeping Officer competency and Master of Science degree from Maritime Transportation Engineering at ITU (2019). He has experience on different types of vessels such as tanker, container and bulk carriers with multinational seafarers. His research fields are operational analyzes of container terminals, machine learning methods within the scope of maritime transportation and Intelligent Transportation Systems. He completed his PhD in the Maritime Transportation Engineering department.

Tayfun Uyanık

Tayfun Uyanık graduated from the Electrical and Electronics Engineering Department, in 2013. After graduation, he finished the Graduate School of Applied and Natural Sciences, Department of Electrical and Electronics Engineering, in 2017. His Ph.D. education continues at the İstanbul Technical University, and he is a guest PhD student in Aalborg University, Energy Department. His working topics are electrical engineering applications, machine learning, deep learning, control engineering applications, electromagnetic compatibility, ship electric microgrids, and renewable energy sources.

Yasin Arslanoğlu

Yasin Arslanoğlu works as a professor at the Maritime Faculty of Istanbul Technical University. He is currently responsible for coordination of Maritime Transportation Engineering Graduate Program. He has been teaching environmental courses, maritime chemistry education and machine learning education, etc. He conducted two national projects in researcher positions. He has published 21 papers in reputable international journals, and more than 40 international conference papers in proceedings (h-index 10, more than 325 citations in WoS/WoK). He has been supervising to graduate studies on maritime chemistry, environmental management, machine learning, and ship energy efficiency.