Department of Civil & Environmental Engineering, The University of Tennessee, Knoxville, TN 37996, United States.
Accid Anal Prev. 2022 Nov;177:106829. doi: 10.1016/j.aap.2022.106829. Epub 2022 Sep 8.
Fatalities and severe injuries among vulnerable road users, particularly pedestrians, are rising. In addition to the loss of life, about 6,000 annual pedestrian deaths in the U.S. cost society about $6 billion. Contrary to the assumption that all fatal pedestrian-involved crashes are similar, instantaneous death is substantially more severe than death that occurs several days after the crash. Instead of homogenizing all fatal pedestrian crashes, this study takes into account the severity of fatal injury crashes as a timeline based on the survival time of pedestrians. This study extracts valuable information from fatal crashes by examining pedestrians' survival time ranging from early death to death within 30 days of the crash. The Fatality Analysis Reporting System dataset is utilized from 2015 to 2018. The emergency medical service (EMS) response time is the key post-crash measure, while controlling for pedestrian, driver, roadway, and environmental characteristics. Notably, the response time and survival time can cause endogeneity, i.e., the response times may be shorter for more severe crashes. Due to the spatial and temporal nature of traffic crashes, to extract the association of different variables with pedestrians' survival time, a geographically and temporally weighted truncated regression with a two-stage residual inclusion treatment (local model) is estimated. The local model can overcome the endogeneity limitation (between EMS response time and survival time) and uncover the potentially spatially and temporally varying correlates of pedestrians' survival time with associated factors to account for unobserved heterogeneity. Moreover, to verify the variations are noticeable, a truncated regression with the two-stage residual inclusion treatment is developed (global model). The modeling results indicate that while capturing the unobserved heterogeneity, the local model outperformed the global model. The empirical results show that EMS response time, speeding, and some pedestrian behaviors are the most important factors that affect pedestrians' survival time in fatal injury crashes. However, the effect of factors on pedestrians' survival time is noticeably varied spatially and temporally. The results and their implications are discussed in detail in the paper.
弱势道路使用者(尤其是行人)的死亡和重伤人数正在上升。除了生命损失外,美国每年约有 6000 名行人死亡,给社会造成约 60 亿美元的损失。与假设所有涉及行人的致命事故都相似相反,即时死亡比事故发生几天后的死亡严重得多。本研究没有将所有致命行人事故混为一谈,而是考虑了行人死亡时间的严重程度,根据行人的存活时间将其作为一个时间线。本研究通过检查行人从早期死亡到事故发生后 30 天内死亡的存活时间,从致命事故中提取有价值的信息。该研究使用 2015 年至 2018 年的致命事故分析报告系统数据集。急救医疗服务(EMS)响应时间是关键的事故后措施,同时控制行人、驾驶员、道路和环境特征。值得注意的是,响应时间和存活时间可能会导致内生性,即对于更严重的事故,响应时间可能更短。由于交通碰撞的空间和时间性质,为了提取不同变量与行人存活时间的关联,使用具有两阶段残差纳入处理(局部模型)的空间和时间加权截断回归进行估计。局部模型可以克服内生性限制(EMS 响应时间和存活时间之间),并揭示与相关因素相关的行人存活时间的潜在空间和时间变化相关性,以解释未观察到的异质性。此外,为了验证变化是显著的,开发了具有两阶段残差纳入处理的截断回归(全局模型)。建模结果表明,局部模型在捕捉未观察到的异质性方面优于全局模型。实证结果表明,EMS 响应时间、超速行驶和一些行人行为是影响致命伤害事故中行人存活时间的最重要因素。然而,这些因素对行人存活时间的影响在空间和时间上明显不同。本文详细讨论了结果及其含义。