Road freight transport and heavy vehicles play a significant role in transporting commodities and merchandise goods in Australia. According to the predictions, heavy vehicle traffic in Australia will increase by 50 per cent by 2030. The heavy vehicle traffic growth increases safety concerns since the probability of vehicle crashes increases by five per cent when the heavy vehicle percentage is higher than 30 per cent of the total traffic volume. Despite comprising a small proportion of total registered vehicles (roughly 3%), heavy vehicles are involved in 18% of total road fatalities. Therefore, the reduction in the number of crashes involving heavy vehicles is of high priority. The objective of this research is to identify the influencing factors on injury severity in heavy vehicle crashes using the multinomial logit model. A dataset, including 9175 heavy vehicle crashes in the Victoria State, Australia, over the period of 2006–2018 is used in this paper. The severity of truck crashes includes fatal/serious injury, minor injury, and property damage only, and various characteristics were examined as the potential risks factor, including the driver, crash, road, environment, and vehicle characteristics. Our results show that factors such as occupant variables (e.g. driver age and gender), collision characteristics (e.g. collisions with fixed objects and truck overturns), temporal characteristics (e.g. early morning, midnight), spatial characteristics (e.g. urban or rural areas), environmental factors (e.g. lights condition) increase the probability of fatal/serious injuries in heavy vehicle crashes. The result from the study can be applied to reduce the severity of heavy vehicle crashes.

公路货运和重型车辆在澳大利亚运输商品和商品方面发挥着重要作用。根据预测，到 2030 年，澳大利亚的重型车辆交通量将增加 50%。重型车辆交通量的增长增加了安全问题，因为当重型车辆百分比高于 30% 时，车辆碰撞的概率会增加 5%。总交通量。尽管只占登记车辆总数的一小部分（大约 3%），但重型车辆占道路死亡总数的 18%。因此，减少重型车辆碰撞事故的数量是重中之重。本研究的目的是使用多项 logit 模型确定重型车辆碰撞中伤害严重程度的影响因素。一个数据集，包括澳大利亚维多利亚州 2006 年至 2018 年期间发生的 9175 起重型车辆碰撞事故。货车碰撞的严重程度仅包括致命/重伤、轻伤和财产损失，并检查了各种特征作为潜在风险因素，包括驾驶员、碰撞、道路、环境和车辆特征。我们的结果表明，乘员变量（例如驾驶员年龄和性别）、碰撞特征（例如与固定物体碰撞和卡车翻覆）、时间特征（例如清晨、午夜）、空间特征（例如城市或农村地区）、环境因素（例如灯光条件）会增加重型车辆碰撞中致命/重伤的可能性。