Zhang Zhuoran, Akinci Burcu, Qian Sean
Department of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, United States.
Department of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, United States; Heinz College, Carnegie Mellon University, Pittsburgh, PA 15213, United States.
Accid Anal Prev. 2023 Apr;183:106966. doi: 10.1016/j.aap.2023.106966. Epub 2023 Jan 23.
Transportation agencies post and enforce reduced speed limits in work zones to ensure work zone safety, since traffic speed is found to be associated with work zone crash risks. However, prior findings on the relationship between speed and crash rate in work zones are inconsistent. This may be attributed to the methods of statistical associations between traffic speed and crash risks that do not necessarily discover true causal relations. In fact, work zone presence could lead to the reduction of actual traffic speed that influences crash risks, where it may also directly impose effects on crash risks as a result of work zone configurations. The actual traffic speed (not posted speed limit) is also known as a "mediator" where work zones can indirectly impact the crash risks. It is challenging to rigorously separate the causal effect of traffic speed on work zone crash risk from that directly caused by work zones. The underlying causal relation could help to determine what reduced post speed limit (with enforcement) is necessary to ensure work zone safety under the most desired "actual traffic speed". This study proposes to use the sequential g-estimation and the regression discontinuity design to estimate the controlled direct effect of traffic speed on work zone crashes. Two research gaps are identified and filled: inaccurate inferences of the effect of reduced speed limit in work zones as a result of ignoring (1) potential post-treatment bias since traffic speed is a mediator; and (2) potential confounding bias caused by unobservable roadway characteristics. The proposed methodology was applied to 4008 work zones in Pennsylvania from 2015 to 2017, and the results were validated through a series of robustness tests. The results indicate that the direct causal effect of the presence of work zones on crash risk is significantly positive when the traffic speed is relatively low (i.e., lower than 55 mph in this case study), while traffic speed has a positive causal effect on crash occurrences when the actual traffic speed is high (i.e., greater or equal to 55 mph). It suggests that strictly enforcing reduced posted speed limits in work zones is particularly effective when the actual traffic speed is greater than 55 mph. This is particularly true on roadways with high traffic volume (i.e., AADT > 20,000 vehicles per day), long, and daytime work zones (i.e., > 3000 m). On the other hand, the effect of enforcing reduced speed on work zone safety is unclear when the actual speed is already low. In this case, improving work zone configurations and driving behaviors may be more effective in reducing crash risks.
交通部门在施工区域设置并执行降低后的限速,以确保施工区域安全,因为发现交通速度与施工区域的碰撞风险有关。然而,先前关于施工区域速度与碰撞率之间关系的研究结果并不一致。这可能归因于交通速度与碰撞风险之间统计关联的方法,这些方法不一定能发现真正的因果关系。事实上,施工区域的存在可能导致实际交通速度降低,从而影响碰撞风险,同时施工区域的配置也可能直接对碰撞风险产生影响。实际交通速度(而非公布的限速)也被称为“中介变量”,施工区域可通过它间接影响碰撞风险。要严格区分交通速度对施工区域碰撞风险的因果效应与施工区域直接造成的因果效应具有挑战性。潜在的因果关系有助于确定在最理想的“实际交通速度”下,需要设定多低的公布限速(并加以执行)才能确保施工区域安全。本研究建议使用序贯g估计和回归间断设计来估计交通速度对施工区域碰撞事故的可控直接效应。识别并填补了两个研究空白:由于忽略了(1)交通速度作为中介变量时潜在的处理后偏差;以及(2)由不可观测的道路特征导致的潜在混杂偏差,从而对施工区域限速效果进行了不准确的推断。将所提出的方法应用于宾夕法尼亚州2015年至2017年的4008个施工区域,并通过一系列稳健性检验对结果进行了验证。结果表明,当交通速度相对较低时(即本案例研究中低于55英里/小时),施工区域的存在对碰撞风险的直接因果效应显著为正,而当实际交通速度较高时(即大于或等于55英里/小时),交通速度对碰撞事故有正向因果效应。这表明当实际交通速度大于55英里/小时时,在施工区域严格执行降低后的公布限速特别有效。在交通流量大(即日均交通量>20000辆)、路段长且为日间施工区域(即>3000米)的道路上尤其如此。另一方面,当实际速度已经很低时,执行降低后的速度对施工区域安全的影响尚不清楚。在这种情况下,改善施工区域配置和驾驶行为可能对降低碰撞风险更有效。