Shipment size and freight transport mode choice have been modeled previously in many studies. There are several studies on the road transport level of this subject as well. This study investigates shipment size and road freight vehicle choice from a geographical point of view. An industrial region in a province may be neighboring another province, a large metropolitan area. Then, freight vehicle choice patterns in that industrial region may differ from the rest of the province it is part of. In this research, data were obtained from Kocaeli province in Türkiye. Modeling techniques include Analysis of Covariance (ANCOVA) for shipment size choice and Discrete Choice approaches for vehicle choice. This study investigates the effects of neighboring using dummy variable and market segmentation approaches. Both approaches show that one region of Kocaeli, neighboring Istanbul, has different vehicle choice mechanisms from the rest of Kocaeli. Therefore, in shipment size and freight vehicle choice modeling or freight transportation master plans for a region, neighboring effects of other large metropolitan areas should be considered. If necessary, separate models may be required for such regions. Effects of several variables on shipment size and vehicle choice patterns are also given.

许多研究之前已经对装运规模和货运模式选择进行了建模。关于该课题的道路运输水平也有多项研究。本研究从地理角度调查装运量和公路货运车辆的选择。一个省的一个工业区可能毗邻另一个省，一个大都市区。然后，该工业区的货运车辆选择模式可能与其所属省份的其他地区不同。在这项研究中，数据来自土耳其的科贾埃利省。建模技术包括用于装运尺寸选择的协方差分析 (ANCOVA) 和用于车辆选择的离散选择方法。本研究使用虚拟变量和市场细分方法调查邻近的影响。这两种方法都表明 Kocaeli 的一个地区，邻近的伊斯坦布尔，与 Kocaeli 的其他地方有不同的车辆选择机制。因此，在一个地区的装运规模和货运车辆选择建模或货运总体规划中，应考虑其他大都市区的邻近影响。如有必要，此类区域可能需要单独的模型。还给出了几个变量对装运量和车辆选择模式的影响。