评估影响海运集装箱停留时间的因素:多港口优化研究

Q2 Business, Management and Accounting
Mohan Saini, T. Lerher
{"title":"评估影响海运集装箱停留时间的因素:多港口优化研究","authors":"Mohan Saini, T. Lerher","doi":"10.3846/btp.2024.19205","DOIUrl":null,"url":null,"abstract":"Ocean transportation is the most preferred mode of transportation that represents a significant role in the global trade. Ocean transportation comprises around 80% of the aggregate worldwide cargo volume. This research paper focused on evaluating the factors that influence the dwell time of the shipping containers. Dwell time is one of the important port performance parameters which evaluates the time spent by the container in a port. In this research, the data from the fourteen major ports was collected and analysed across the variables, such as cycle, size, mode, status, delivery and tracking technology for evaluating the variation in container dwell time. OLS regression method (Ordinary least squares) along with independent sample T test was adopted for the analysis of 2.8 million container data entries utilizing python for big data analysis and SPSS. For the top three ports with lowest RMSE (Root mean square error), Port A – 15.6 %, Port G – 15.7 % and Port L – 15.86 %, a qualitative study was performed to identify the reasons for the variation in dwell time. The major reasons identified included free days period, trans-shipment port, high rail frequency, industrial hubs in the vicinity of the ports for lower dwell time. A qualitative research framework was presented as the research outcomes and reasons for variations in a multiport study.","PeriodicalId":40066,"journal":{"name":"Business: Theory and Practice","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ASSESSING THE FACTORS IMPACTING SHIPPING CONTAINER DWELL TIME: A MULTI-PORT OPTIMIZATION STUDY\",\"authors\":\"Mohan Saini, T. Lerher\",\"doi\":\"10.3846/btp.2024.19205\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ocean transportation is the most preferred mode of transportation that represents a significant role in the global trade. Ocean transportation comprises around 80% of the aggregate worldwide cargo volume. This research paper focused on evaluating the factors that influence the dwell time of the shipping containers. Dwell time is one of the important port performance parameters which evaluates the time spent by the container in a port. In this research, the data from the fourteen major ports was collected and analysed across the variables, such as cycle, size, mode, status, delivery and tracking technology for evaluating the variation in container dwell time. OLS regression method (Ordinary least squares) along with independent sample T test was adopted for the analysis of 2.8 million container data entries utilizing python for big data analysis and SPSS. For the top three ports with lowest RMSE (Root mean square error), Port A – 15.6 %, Port G – 15.7 % and Port L – 15.86 %, a qualitative study was performed to identify the reasons for the variation in dwell time. The major reasons identified included free days period, trans-shipment port, high rail frequency, industrial hubs in the vicinity of the ports for lower dwell time. A qualitative research framework was presented as the research outcomes and reasons for variations in a multiport study.\",\"PeriodicalId\":40066,\"journal\":{\"name\":\"Business: Theory and Practice\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Business: Theory and Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3846/btp.2024.19205\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Business, Management and Accounting\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Business: Theory and Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3846/btp.2024.19205","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
引用次数: 0

摘要

海洋运输是最受欢迎的运输方式,在全球贸易中发挥着重要作用。海运约占全球总货运量的 80%。本研究论文的重点是评估影响海运集装箱停留时间的因素。停留时间是评估集装箱在港口停留时间的重要港口性能参数之一。本研究收集了 14 个主要港口的数据,并对周期、尺寸、模式、状态、交付和跟踪技术等变量进行了分析,以评估集装箱停留时间的变化。采用 OLS 回归法(普通最小二乘法)和独立样本 T 检验,利用 python 大数据分析和 SPSS 对 280 万条集装箱数据进行了分析。对于 RMSE(均方根误差)最低的前三个港口,即 A 港 - 15.6%、G 港 - 15.7% 和 L 港 - 15.86%,进行了定性研究,以确定停留时间变化的原因。确定的主要原因包括空闲天数、转运港、高铁路班次、港口附近的工业中心等。定性研究框架作为多港口研究的研究成果和差异原因被提出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ASSESSING THE FACTORS IMPACTING SHIPPING CONTAINER DWELL TIME: A MULTI-PORT OPTIMIZATION STUDY
Ocean transportation is the most preferred mode of transportation that represents a significant role in the global trade. Ocean transportation comprises around 80% of the aggregate worldwide cargo volume. This research paper focused on evaluating the factors that influence the dwell time of the shipping containers. Dwell time is one of the important port performance parameters which evaluates the time spent by the container in a port. In this research, the data from the fourteen major ports was collected and analysed across the variables, such as cycle, size, mode, status, delivery and tracking technology for evaluating the variation in container dwell time. OLS regression method (Ordinary least squares) along with independent sample T test was adopted for the analysis of 2.8 million container data entries utilizing python for big data analysis and SPSS. For the top three ports with lowest RMSE (Root mean square error), Port A – 15.6 %, Port G – 15.7 % and Port L – 15.86 %, a qualitative study was performed to identify the reasons for the variation in dwell time. The major reasons identified included free days period, trans-shipment port, high rail frequency, industrial hubs in the vicinity of the ports for lower dwell time. A qualitative research framework was presented as the research outcomes and reasons for variations in a multiport study.
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
Business: Theory and Practice
Business: Theory and Practice Business, Management and Accounting-Strategy and Management
CiteScore
5.00
自引率
0.00%
发文量
35
审稿时长
8 weeks
期刊介绍: The journal "Business: Theory and Practice" is published from 2000. 1 vol (4 issues) per year are published. Articles in Lithuanian, English, German, Russian. The Journal has been included into database "ICONDA" and "Business Source Complete".
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信