Department of Civil Engineering, University of Colorado Denver, P.O. Box 173364, Campus Box 113, Denver, CO 80217-3364, United States.
Accid Anal Prev. 2020 Dec;148:105782. doi: 10.1016/j.aap.2020.105782. Epub 2020 Oct 5.
This paper investigates factors associated with the severity of pedestrian outcomes from motor vehicle crashes by analyzing a database of all 13,856 reported pedestrian crashes in Colorado over an 11-year period from 2006 to 2016. A total of 14,391 pedestrians were involved in these crashes, resulting in 612 (4.3%) pedestrian fatalities, 11,576 (80.4%) pedestrian injuries, and 2203 (15.3%) property damage only outcomes. The objective is to analyze crash records, as similarly compiled by other states, to show how lives potentially saved by improved factor levels can be estimated as needed for benefit-cost comparisons of alternative countermeasures. Odds ratios of fatal versus non-fatal pedestrian outcomes are computed both independently (unadjusted) and from logistic regression (adjusted) for each factor level accounting for possible correlations between factors. Also computed are odds ratios for fatal plus incapacitating injuries and odds ratios for just 2011-2016 versus all years. This study found that intersection proximity, lighting condition, vehicle type and speed, pedestrian age, pedestrian impairment, and driver impairment by drugs or alcohol were all significant factors associated with the severity of pedestrian outcomes from motor vehicle crashes. Risk ratios from these odds ratios are used to estimate lives potentially saved by having better factor levels present at the time of these crashes. These estimates reflect the relative magnitudes of benefits that might be achieved by potential countermeasures taking into account the number of cases affected.
本研究通过分析 2006 年至 2016 年期间科罗拉多州所有 13856 起行人事故报告数据库,调查了与机动车事故中行人严重程度相关的因素。共有 14391 名行人卷入这些事故,其中 612 人(4.3%)死亡,11576 人(80.4%)受伤,2203 人(15.3%)仅造成财产损失。目的是分析其他州类似汇编的碰撞记录,以展示如何根据需要估算通过改善因素水平可能挽救的生命,以进行替代对策的成本效益比较。针对每个因素水平,计算了致命与非致命行人结果的比值比(独立计算(未调整)和逻辑回归(调整)),以考虑因素之间的可能相关性。还计算了致命加致残伤害的比值比,以及 2011-2016 年与所有年份的比值比。本研究发现,交叉口接近度、照明条件、车辆类型和速度、行人年龄、行人损伤和司机因毒品或酒精而损伤,都是与机动车事故中行人严重程度相关的重要因素。这些比值比的风险比用于估计在这些事故发生时更好的因素水平可能会挽救的生命。这些估计反映了通过潜在对策实现的潜在效益的相对幅度,同时考虑到受影响的病例数量。