基于二元Logistic的公路货运超载关键影响因素识别

Identification of Key Factors Affecting Highway Freight Overloading Based on Binary Logistic Regression

为了探究影响公路货车超载的关键因素,为查超、治超工作提供理论依据,基于2015年公路运输量专项调查采集的3 249辆公路货车的运营类型、线路特性、车辆特征,通过单因素分析、共线性检验、二元Logistic回归分析,识别公路货运超载的关键影响因素,然后提出切实可行的治超措施。结果表明:运营类型、车长、运营模式、货运量及平均运距是公路货运超载关键影响因素。

In order to explore the key factors influencing highway truck overloading and provide theoretical foundation to check and rule over the overloading,the key factors affecting freight vehicle overloading were identified on the basis of the collected data of the operation types,line characteristics and vehicle characteristics of 3249 highway trucks in the highway traffic volume survey conducted in 2015. The single factor analysis,collinearity test and binary Logistic regression analysis were used. And then the feasible measures to rule over the overloading were proposed. It is indicated that the operation type,vehicle length,operation mode,freight volume and average distance are the key factors to influence highway truck overloading.