There are some examples where freight choices may be of a multiple discrete nature, especially the ones at more tactical levels of planning. Nevertheless, this has not been investigated in the literature, although several discrete-continuous models for mode/vehicle type and shipment size choice have been developed in freight transport. In this work, we propose that the decision of port and mode of the grain consolidators in Argentina is of a discrete-continuous nature, where they can choose more than one alternative and how much of their production to send by each mode. The Multiple Discrete Extreme Value Model (MDCEV) framework was applied to a stated preference data set with a response variable that allowed this multiple-discreteness. To our knowledge, this is the only application of the MDCEV in regional freight context. Free alongside ship price, freight transport cost, lead-time and travel time were included in the utility function and observed and random heterogeneity was captured by the interaction with the consolidator’s characteristics and random coefficients. In addition, different discrete choice models were used to compare the forecasting performance, willingness to pay measures and structure of the utility function against.

在某些示例中，货运选择可能具有多种离散性质，尤其是在战术性更高的计划水平上。然而，尽管在货运中已经开发了几种用于模式/车辆类型和货件尺寸选择的离散连续模型，但尚未在文献中对此进行研究。在这项工作中，我们建议阿根廷谷物合并者的港口和方式的决定是离散连续的，他们可以选择多个替代方式，并选择每种方式发送多少产量。将多重离散极值模型（MDCEV）框架应用于具有响应变量的指定偏好数据集，该变量允许这种多重离散。据我们所知，这是MDCEV在区域货运环境中的唯一应用。效用函数中包括了免费的船价，货运成本，提前期和旅行时间，并通过与整合者的特征和随机系数的相互作用来捕获随机异质性。另外，使用了不同的离散选择模型来比较预测性能，支付意愿和效用函数的结构。