运输尺寸决定的时间稳定性与卡车类型的选择有关

IF 3.6 2区 工程技术 Q2 TRANSPORTATION
Abel Kebede Reda , Jose Holguin-Veras , Lori Tavasszy , Girma Gebresenbet , David Ljungberg
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引用次数: 0

摘要

货运规模的选择是物流过程中的一项重要决策,并通过运输方式和卡车类型的选择对货运需求产生强烈的间接影响。随着时间的推移,装运规模会因物流过程中的新决策或供应链外部条件而发生变化。本研究调查了货运规模选择的时间稳定性,并将其与卡车类型选择联系起来。研究使用了从埃塞俄比亚亚的斯亚贝巴市的警戒线和商业机构调查中收集的 2015 年、2017 年和 2019 年的重复横截面数据。研究采用了综合选择和潜变量(ICLV)以及潜增长(LG)模型,以评估在整个货运系统以及具体卡车类型层面上选择装运规模的时间依赖模式。模型结果显示,货运规模决策在时间上是不稳定的,在我们的案例中,货运规模呈现出下降趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Temporal stability of shipment size decisions related to choice of truck type

The choice of shipment size is a vital decision in logistics and has a strong indirect influence on freight transport demand, via the choice of mode and truck type choice. Through time, shipment sizes can change as a result of new decisions in the logistics process or due to conditions external to the supply chain. This study investigates the temporal stability of shipment size choices, relating these to the choice of truck types. It uses repeated cross-sectional data for the years 2015, 2017, and 2019 collected from cordon and business establishment surveys in Addis Ababa city, Ethiopia. The integrated choice and latent variables (ICLV) and latent growth (LG) models were used to assess the time-dependent patterns of choosing shipment sizes, both at the level of the entire freight system as well as the specific truck types. The model results reveal that shipment size decisions are temporally unstable where, in our case, shipment sizes exhibited a declining trend.

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来源期刊
Transportmetrica A-Transport Science
Transportmetrica A-Transport Science TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
8.10
自引率
12.10%
发文量
55
期刊介绍: Transportmetrica A provides a forum for original discourse in transport science. The international journal''s focus is on the scientific approach to transport research methodology and empirical analysis of moving people and goods. Papers related to all aspects of transportation are welcome. A rigorous peer review that involves editor screening and anonymous refereeing for submitted articles facilitates quality output.
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