Heterogeneity Analysis of Drivers’ Fault Emergency Response in Traffic Accidents

This study investigates the heterogeneous impact of various factors on fault emergency response among commercial and non-commercial drivers involved in commercial motor vehicle (CMV) and non-commercial motor vehicle (NCMV) accidents. Using a binary logistic regression model with data from 2,185 accidents in China (2014–2018), the analysis evaluates the impacts of accident-contributing factors such as driver attributes, vehicles, roads, environment, and enterprise management, on CMV drivers and NCMV drivers, separately, under the same external environment. The model results indicate significant associations between the occurrence of fault emergency response by the driver and factors, including age, gender, fatigue driving, speeding, and weather. Notably, fatigue driving and speeding are more impactful for CMV drivers, while other factors show greater influences on NCMV drivers. This study can provide a reference for the development of measures to reduce the severity of CMV-to-NCMV accidents.