There is a considerable gap between the existing knowledge used to estimate the value of time in passenger transport when compared with the framework of analysis developed for freight transport. In this paper, we applied a model that is gaining recognition in the context of passenger values of time estimation known as random valuation ( RV ) to a context in which there is little evidence of its application: freight value of time estimation ( FVOT ). Secondly, we compared this model to the commonly used methodology, random utility ( RU ). We analysed several levels of model specification to estimate the FVOT using data from a stated choice experiment applied in five of the main cargo transport road corridors of Colombia. The analysis accounts for the value of time differentiated by vehicle type. Results suggest that the RV models performed better for the same dataset than its counterpart RU in all cases. Another aspect to highlight is that the FVOT value obtained with the RU approach was pretty similar to those obtained with the RV in most cases. Also, the estimates FVOT for empty trips are closer, and in some cases higher, than those of loaded trips.

中文翻译：

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为节省货运旅行时间而支付的意愿：对比随机效用与随机估值

与为货运开发的分析框架相比，用于估计客运时间价值的现有知识之间存在相当大的差距。在本文中，我们将在时间估计的乘客价值（称为随机估值 (RV)）中获得认可的模型应用于几乎没有应用证据的环境：货运时间估计值 (FVOT)。其次，我们将该模型与常用方法随机效用 (RU) 进行了比较。我们分析了模型规范的几个级别，以使用来自哥伦比亚五个主要货运公路走廊的规定选择实验的数据来估计 FVOT。该分析考虑了按车辆类型区分的时间值。结果表明，对于相同的数据集，RV 模型在所有情况下都比其对应的 RU 表现得更好。另一个要强调的方面是，在大多数情况下，使用 RU 方法获得的 FVOT 值与使用 RV 获得的值非常相似。此外，空行程的 FVOT 估计值更接近，在某些情况下高于负载行程的 FVOT。