Rail freight production in Brazil: Projecting scenarios in times of global uncertainty

Alam Gonçalves Guimarães , António Couto , António Lobo
{"title":"Rail freight production in Brazil: Projecting scenarios in times of global uncertainty","authors":"Alam Gonçalves Guimarães ,&nbsp;António Couto ,&nbsp;António Lobo","doi":"10.1016/j.jrtpm.2023.100403","DOIUrl":null,"url":null,"abstract":"<div><p>The human losses caused by the COVID-19 pandemic are an overriding concern, nevertheless it is important to discuss other effects that will come in the wake of the pandemic. This article evaluates the pandemic impacts on the rail freight production in Brazil, as railways play a key role on the logistics chain of Brazilian commodities. To achieve this objective, rail production data for the period between January 2006 and December 2021 was analysed using intervention and prediction methods based on Box-Jenkins ARIMA models, assisted by Monte Carlo simulations. The study reveals that, although the 2008 economic crisis caused an inflection in the time series of the analysed macroeconomic variables, it had no statistically significant impact on rail freight production, considering the time series as a whole. The results also confirm that the historical trend of growth in production has been maintained until the moment with no apparent impact from the COVID-19 pandemic. Given the prevailing uncertainty, the study examines other scenarios, projecting different degrees of expected production instability with a prediction horizon of 2025. These scenarios could be an important aid to plan short- and medium-term actions for this transport mode that is crucial to Brazilian economy and exports.</p></div>","PeriodicalId":51821,"journal":{"name":"Journal of Rail Transport Planning & Management","volume":"27 ","pages":"Article 100403"},"PeriodicalIF":2.6000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Rail Transport Planning & Management","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210970623000355","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 0

Abstract

The human losses caused by the COVID-19 pandemic are an overriding concern, nevertheless it is important to discuss other effects that will come in the wake of the pandemic. This article evaluates the pandemic impacts on the rail freight production in Brazil, as railways play a key role on the logistics chain of Brazilian commodities. To achieve this objective, rail production data for the period between January 2006 and December 2021 was analysed using intervention and prediction methods based on Box-Jenkins ARIMA models, assisted by Monte Carlo simulations. The study reveals that, although the 2008 economic crisis caused an inflection in the time series of the analysed macroeconomic variables, it had no statistically significant impact on rail freight production, considering the time series as a whole. The results also confirm that the historical trend of growth in production has been maintained until the moment with no apparent impact from the COVID-19 pandemic. Given the prevailing uncertainty, the study examines other scenarios, projecting different degrees of expected production instability with a prediction horizon of 2025. These scenarios could be an important aid to plan short- and medium-term actions for this transport mode that is crucial to Brazilian economy and exports.

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
巴西铁路货运生产:全球不确定时期的预测情景
新冠肺炎大流行造成的人类损失是一个压倒一切的问题,但重要的是讨论大流行后可能产生的其他影响。本文评估了疫情对巴西铁路货运生产的影响,因为铁路在巴西商品的物流链中发挥着关键作用。为了实现这一目标,在蒙特卡洛模拟的辅助下,使用基于Box-Jenkins ARIMA模型的干预和预测方法分析了2006年1月至2021年12月期间的铁路生产数据。研究表明,尽管2008年经济危机导致所分析的宏观经济变量的时间序列发生了变化,但从整个时间序列来看,它对铁路货运生产没有统计上的显著影响。结果还证实,产量增长的历史趋势一直保持到目前,没有受到新冠肺炎大流行的明显影响。考虑到普遍存在的不确定性,该研究考察了其他情景,预测了2025年不同程度的预期产量不稳定。这些情景可能是为这种对巴西经济和出口至关重要的运输模式规划短期和中期行动的重要帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
7.10
自引率
8.10%
发文量
41
期刊最新文献
A MILP model to improve the robustness of a railway timetable by retiming and rerouting in a complex bottleneck area A decomposition approach to solve the individual railway crew Re-planning problem A Bi-objective model and a branch-and-price-and-cut solution method for the railroad blocking problem in hazardous material transportation Relationships between service quality and customer satisfaction in rail freight transportation: A structural equation modeling approach The evaluation of competition effect on rail fares using the difference-in-difference method through symmetric and lagged spans
×
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