自动识别系统
端口(电路理论)
容器(类型理论)
海洋工程
业务
环境科学
集装箱化
计算机科学
工程类
计算机安全
机械工程
电气工程
作者
Nguyen Khoi Tran,Jasmine Siu Lee Lam,Haiying Jia,Roar Ådland
标识
DOI:10.1080/03088839.2021.1980236
摘要
Emissions from ships have negative effects on both humans and the environment, particularly in port areas. This paper develops a bottom-up activity-based model to compute emissions from container vessels within the boundaries of the port of Singapore. The input data is nearly 2 million Automatic Identification System (AIS) signals recording ship calls and various ship specifications. The paper analyses the container vessel segment by compiling a comprehensive emission profile by vessel size, port call time and carriers. This generates new insights in the dynamics and sources of ship emissions. The results show that the majority of emissions were produced by ship calls of shorter than 2 days, and 46% of the total emissions were produced by container feeder vessels as a result of Singapore port being a major international transhipment hub and the more frequent visits from such vessels. Our study also indicates stable distribution of emissions over the year, suggesting seasonality does not play a major role in container shipping operations.
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