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公路超限运输危害巨大，为有效治超，深入分析超限车辆的出行选择行为.超限车辆为实现运输效益最大化，将对其超限程度、出行线路等做出一系列出行选择，不同的出行选择决策决定超限车辆的出行成本和出行收益大小.在公路超限车辆出行选择决策行为和出行效用分析的基础上，建立超限车辆出行超限程度与出行线路这种存在层次关系决策行为的巢式Logit逻辑决策模型.从概率角度用定量方法分析超限车辆出行个体的出行选择行为,为公路超限运输的治理工作提供科学指导，同时也将为超限车辆补偿费率制定提供理论支持.

Overloaded Vehicle Choice Behavior Analysis Based on Nested Logit Model

To effectively control the overloaded transportation, the trip choice behavior of the overloaded vehicle should be deeply examined. A overloaded vehicle usually makes a series of decisions according to the overloaded level, trip line, etc., to get the maximized economic benefit. Different trip decisions often generate different trip cost of overloaded vehicles and trip benefit. Based on the study of decision behavior and trip utility of carriers who use overloaded vehicles to travel, the nested logit model is developed considering the hierarchical relationship between the degree of road overloaded vehicles and the trip route for the carriers travel. Based on the probability and quantitative method, the trip decision behaviors of those overloaded vehicles are analyzed, which offers scientific references for the management of overloaded vehicles and the theories of compensation rate of pricing.