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The value of travel time savings in freight transport: a meta-analysis
Transportation ( IF 3.5 ) Pub Date : 2021-07-19 , DOI: 10.1007/s11116-021-10207-2
Jawaher Binsuwadan 1, 2 , Gerard De Jong 1, 3 , Richard Batley 1 , Phill Wheat 1
Affiliation  

The value of freight travel time savings (VFTTS) is a monetary value that is considered an important input into cost–benefit analysis and traffic forecasting. The VFTTS is defined as the marginal rate of substitution between travel time and cost and may therefore differ across firms, time and countries. The paper aims to explain variations in the VFTTS by using the meta-analysis method. The analysis covers 106 monetary valuations extracted from 56 studies conducted from 1988 to 2018 in countries across the globe. The meta-analysis method determines the factors that have an impact on these VFTTS variations. The paper briefly introduces the VFTTS concept and describes the adopted meta-analysis methodology, wherein different meta-models are used in VFTTS estimations. The results highlight the necessity of including multiple explanatory variables to ensure adequate explanation of the VFTTS variations. The findings also show that GDP per capita, transport mode and type of survey respondent are statistically significant variables. The paper sheds some light on the variations, thereby advancing the understanding of each factor’s effects on the VFTTS. Furthermore, meta-model outcomes are used to generate new values of travel time savings for different transport modes in freight transport, for several countries. These implied VFTTS can be used as benchmarks to assess existing evidence or provide new evidence to countries where no such values exist.



中文翻译:

货运节省旅行时间的价值:元分析

货运旅行时间节省 (VFTTS) 的价值是一种货币价值,被认为是成本效益分析和交通预测的重要输入。VFTTS 被定义为旅行时间和成本之间的边际替代率,因此可能因公司、时间和国家而异。本文旨在通过使用荟萃分析方法解释 VFTTS 的变化。该分析涵盖了从 1988 年至 2018 年在全球各国进行的 56 项研究中提取的 106 项货币估值。荟萃分析方法确定对这些 VFTTS 变化有影响的因素。本文简要介绍了 VFTTS 概念并描述了采用的元分析方法,其中在 VFTTS 估计中使用了不同的元模型。结果强调了包括多个解释变量以确保对 VFTTS 变化的充分解释的必要性。调查结果还表明,人均 GDP、交通方式和受访者类型是具有统计意义的变量。该论文阐明了这些变化,从而促进了对每个因素对 VFTTS 影响的理解。此外,元模型结果用于为几个国家的货物运输中的不同运输方式生成旅行时间节省的新值。这些隐含的 VFTTS 可用作评估现有证据的基准,或向不存在此类值的国家提供新证据。调查受访者的交通方式和类型是具有统计意义的变量。该论文阐明了这些变化,从而促进了对每个因素对 VFTTS 影响的理解。此外,元模型结果用于为几个国家的货物运输中的不同运输方式生成旅行时间节省的新值。这些隐含的 VFTTS 可用作评估现有证据的基准,或向不存在此类值的国家提供新证据。调查受访者的交通方式和类型是具有统计意义的变量。该论文阐明了这些变化,从而促进了对每个因素对 VFTTS 影响的理解。此外,元模型结果用于为几个国家的货物运输中的不同运输方式生成旅行时间节省的新值。这些隐含的 VFTTS 可用作评估现有证据的基准,或向不存在此类值的国家提供新证据。

更新日期:2021-07-19
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