The value of time (VOT) is a central parameter in freight transportation. However, both its trend and influencing factors remain poorly understood. To reduce potentially diverging influences of different theories and methods used to calculate VOTs in freight transportation, only VOTs obtained from discrete choice models with disaggregated data were studied. Based on statistical analysis and regression analysis, this study explores the factors that affect VOTs at the macro/micro level, and provide several suggestions to decrease errors in VOTs caused by inappropriate data collection and model construction. With regard to influencing factors, the volume of transported goods per capita was found to be a more appropriate variable than GDP per capita to explain the variation in VOT. With regard to data collection and model construction, ignoring reliability will risk overestimating VOT, and the model estimated by using stated preference data tends to yield lower VOTs than that using revealed preference data.

时间值（VOT）是货运中的中心参数。但是，它的趋势和影响因素仍然知之甚少。为减少用于计算货运中VOT的不同理论和方法的潜在分歧影响，仅研究了从具有分类数据的离散选择模型中获得的VOT。基于统计分析和回归分析，本研究从宏观/微观层面探讨了影响VOT的因素，并提供了一些建议，以减少因不适当的数据收集和模型构建而导致的VOT错误。关于影响因素，发现人均运输货物数量是比人均GDP更合适的变量，可以解释VOT的变化。关于数据收集和模型构建，