The value of travel time savings in freight transport: a meta-analysis
The value of travel time savings in freight transport: a meta-analysis
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DOI：
10.1007/s11116-021-10207-2
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发表时间：
2021-07-19
期刊：
影响因子：
4.3
通讯作者：
Wheat, Phill
中科院分区：
文献类型：
--
作者：
Binsuwadan, Jawaher;De Jong, Gerard;Wheat, Phill
货运旅行时间节省的价值 (VFTTS) 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。荟萃分析方法确定了影响这些 VFTTS 变化的因素。本文简要介绍了VFTTS的概念，并描述了所采用的元分析方法，其中在VFTTS估计中使用了不同的元模型。结果强调了包含多个解释变量的必要性，以确保对 VFTTS 变化进行充分解释。研究结果还表明，人均 GDP、交通方式和调查受访者类型是统计上显着的变量。本文阐明了这些变化，从而加深了对每个因素对 VFTTS 影响的理解。此外，元模型结果用于为多个国家的货运中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。
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.