AIS 빅데이터와 밀집도 분석을 이용한 COVID-19 팬데믹으로 인한 해상교통 변화에 대한 연구

• 영문명: A Study on Changes in Maritime Traffic Due to the Pandemic using AIS Big Data and Density Analysis
• 발행기관: 한국연안방재학회
• 저자명: 김채은(Chae-Eun Kim) 지준화(Junhwa Chi) 김태훈(Tae-Hoon Kim) 이정석(Jeong-Seok Lee)
• 간행물 정보: 『한국연안방재학회지』제11권 제4호, 177~186쪽, 전체 10쪽
• 주제분류: 자연과학 > 지질학
• 파일형태: PDF
• 발행일자: 2024.12.31

국문 초록

Maritime transportation is one of the most economically efficient methods of transporting large volumes of cargo and serves as a crucial vehicle for global trade, accounting for about 80% of worldwide commerce. In particular, since Korea is surrounded by sea on three sides, more than 90% of its import and export cargo heavily relies on maritime transportation. However, the COVID-19 pandemic that began in late 2019 has brought about changes in maritime traffic patterns due to global border controls and changes in economic activity. In particular, for Korea, which is highly dependent on maritime logistics, it is important to understand how the pandemic has affected maritime traffic density and the changes by vessel type. In this study, the changes in maritime traffic density in Korea during the first year of the pandemic, starting from March 11, 2020, are examined. Korea's sea area was divided into grid cells, and the length of ship trajectories within each grid cell was calculated to analyze changes in maritime traffic density. Maritime traffic density changes were analyzed for cargo ships, tanker ships, and passenger ships based on specific operating patterns, and traffic density within major ports was also examined. As a result, an increase in traffic density was observed for both cargo and tanker ships. The purpose of this study is to quantitatively analyze changes in maritime traffic density before and during the COVID-19 pandemic, thereby providing basic data for predicting maritime traffic patterns and developing response strategies in similar global crisis situations in the future.

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감사의 글

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키워드

Maritime transportation Traffic density COVID-19 AIS Pattern analysis