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

Yasuhiro Akakura
{"title":"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","authors":"Yasuhiro Akakura","doi":"10.1016/j.eastsj.2023.100111","DOIUrl":null,"url":null,"abstract":"<div><p>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 CO<sub>2</sub> 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 CO<sub>2</sub> emissions.</p></div>","PeriodicalId":100131,"journal":{"name":"Asian Transport Studies","volume":"9 ","pages":"Article 100111"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analysis of offshore waiting at world container terminals and estimation of CO2 emissions from waiting ships\",\"authors\":\"Yasuhiro Akakura\",\"doi\":\"10.1016/j.eastsj.2023.100111\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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 CO<sub>2</sub> 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 CO<sub>2</sub> emissions.</p></div>\",\"PeriodicalId\":100131,\"journal\":{\"name\":\"Asian Transport Studies\",\"volume\":\"9 \",\"pages\":\"Article 100111\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian Transport Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2185556023000160\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Transport Studies","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2185556023000160","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Analysis of offshore waiting at world container terminals and estimation of CO2 emissions from waiting ships

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.10
自引率
0.00%
发文量
0
期刊最新文献
Editorial: Logistics in Asia: The post-pandemic era How do fares affect the utilization of ride-hailing services: Evidence from Uber Japan's experiments A stochastic logistics model for Indonesia's national freight transport model: Transport chain choice from the shipper perspective Comparative analysis of various pedestrian-crossing facilities on highways and the selection of a cost-effective facility by maximizing the benefit-cost ratio Verifying the effectiveness of area division for land and population: The case of the Kofu urban area, Japan
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1