Abstract: In order to comprehensively and continuously explore the characteristics of dangerous goods road transport accidents in China, the dangerous goods transport accidents on road from 2013 to 2022 were taken as the research object. By integrating mathematical statistics and event trees, the research was carried out from the dimensions of time and space distribution, morphological characteristics and chain reaction, causes of accidents and types of dangerous goods. The results show that the number of accidents varies significantly among different months, with frequent accidents occurring from June to August. The consequences of the accident are most severe from 2 to 8 oclock. There is a strong positive correlation between the number of regional chemical enterprises and accident rates, as well as between the number of accidents and the number of injuries. There is a medium positive correlation between the number of accidents and the number of deaths. Accidents in developed chemical regions are prominent, but the consequences of accidents caused by individual chemical enterprises are not significant. Single-vehicle and leakage accidents are most common, with leakage being a key node in the chain reaction of accidents. Personnel are the primary factor resulting in accidents of the road transport of dangerous goods. Dangerous goods are not easy to cause accidents by themselves, but the consequences of accidents caused by Class 3 flammable liquids represented by diesel and petrol, and Class 2 gases represented by LPG and natural gas, are more serious.

Key words: traffic and transportation engineering; dangerous goods; road transportation; statistical analysis; accident characteristics

摘要： 为全面且持续挖掘我国危险货物道路运输事故特征，研究以2013—2022年间的道路危险货物运输事故为例，综合数理统计与事件树，从时间与空间分布、形态特征与连锁反应、事故原因与危险货物类别等维度展开研究。结果表明：各月份事故数明显不同，其中6—8月事故频发，2—8月时事故后果最为严重；各区域化工个数与事故率、事故起数与受伤人数均存在强正相关，事故起数与死亡人数存在中度正相关，化工发达区域事故突出，但单个化工企业引发的事故后果并不显著；单车、泄漏事故最为常见，其中泄漏是事故连锁反应的关键节点；人员是导致危险货物道路运输事故的首要因素，危险货物自身不易引发事故，但其中以柴油、汽油为代表的第3类易燃液体与以液化石油气、天然气为代表的第2类气体造成事故后果较为严重。

关键词: 交通运输工程；危险货物；道路运输；统计分析；事故特征