Analysis of offshore waiting at world container terminals and estimation of CO2 emissions from waiting ships

Yasuhiro Akakura
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引用次数: 1

Abstract

Delays of container services seriously affect the lean, extensive global supply chains such as the just-in-time system. A major cause of ship delay is port/terminal congestion, causing offshore waiting, and these delays create a domino effect on other ships through terminals and ships. During the supply chain crisis, started from the second half of 2020, many ships were forced to wait offshore for more than days at major ports, especially in North America, Europe, and China. This study developed the method for identifying offshore waiting ships of terminals, calculating the waiting time of these ships, and estimating the increment of CO2 emissions by utilizing log data sent from ships’ automatic identification systems. The calculated results of major world ports were analyzed to understand the relation between the degree of congestion and offshore waiting time capacity and the relation between the waiting time capacity and CO2 emissions.

世界集装箱码头近海等候分析及等候船舶二氧化碳排放估算
集装箱服务的延误严重影响了精益、广泛的全球供应链,如准时制。船舶延误的一个主要原因是港口/码头拥堵,导致海上等待,这些延误对通过码头和船舶的其他船舶产生了多米诺骨牌效应。在2020年下半年开始的供应链危机期间,许多船只被迫在主要港口在海上等待超过几天,尤其是在北美、欧洲和中国。本研究开发了一种识别码头海上等待船舶的方法,计算这些船舶的等待时间,并利用船舶自动识别系统发送的日志数据估计二氧化碳排放量的增量。分析了世界主要港口的计算结果,以了解拥堵程度与海上等待时间容量之间的关系,以及等待时间容量与CO2排放之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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