Spatiotemporal instability analysis of injury severities in truck-involved and non-truck-involved crashes

卡车 撞车 运输工程 北京 环境科学 毒物控制 理论(学习稳定性) 统计 计算机科学 工程类 环境卫生 地理 汽车工程 数学 医学 中国 程序设计语言 考古 机器学习
作者
Chenzhu Wang,Fei Chen,Yunlong Zhang,Jianchuan Cheng
出处
期刊:Analytic Methods in Accident Research [Elsevier BV]
卷期号:34: 100214-100214 被引量:54
标识
DOI:10.1016/j.amar.2022.100214
摘要

The truck involvement could potentially increase the crash frequency and resulted injury outcomes and it is of great necessity to understand the similarities and differences in the mechanism of how determinants influence injury severities of truck-involved and non-truck-involved crashes and explore their spatiotemporal stability. Based on the crash data of Beijing-Shanghai Expressway and Changchun-Shenzhen Expressway over the three years (2017–2019), the heterogeneity and spatiotemporal stability of contributing factors affecting truck-involved and non-truck-involved crashes were investigated through random-parameter logit models with unobserved heterogeneity in means and variances. Three injury severity outcomes of severe injury, minor injury, and no injury were examined considering multiple factors including driver, vehicle, roadway, environmental, temporal, spatial, traffic and crash characteristics. Besides, the spatiotemporal stability was investigated based on the likelihood ratio tests. Marginal effects were also calculated to analyze the spatiotemporal stability and potential heterogeneity of the contributing variables from year to year. The findings exhibited remarkable differences between truck-involved and non-truck-involved crashes, and an overall spatiotemporal instability was observed in the current study while several indicators were also reported to show relative spatial or temporal stability such as length of the horizontal curve, AADT, early morning, cloudy weather. This paper provided some suggestions to prevent crashes for truck-involved and non-truck-involved crashes across different highways respectively and develop safety measures accordingly.
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