Zachry Department of Civil and Environmental Engineering, Texas A&M University, 3136 TAMU, College Station, TX, 77843-3136, United States.
Center for Transportation Safety, Texas A&M Transportation Institute, Texas A&M University System, 3135 TAMU, College Station, TX, 77843-3135, United States.
Accid Anal Prev. 2020 Sep;145:105684. doi: 10.1016/j.aap.2020.105684. Epub 2020 Aug 13.
Hotspot identification (HSID) is one of the most important components in the highway safety management process. Previous research has found that hazardous sites identified with different methods are not consistent. It is therefore necessary to evaluate the performance of various HSID methods. The existing evaluation criteria are limited to two consecutive periods, and do not consider the temporal instability of crashes. In addition, one existing criterion does not precisely evaluate HSID method under given circumstances. This paper proposed three generalized criteria to evaluate the performance of HSID methods: (1) High Crashes Consistency Test (HCCT) is proposed to evaluate HSID methods in terms of their reliabilities of identifying sites with high crash counts; (2) Common Sites Consistency Test (CSCT) is proposed to gauge HSID methods in consistently identifying a set of common sites as hazardous sites; and, (3) Absolute Rank Differences Test (ARDT) is proposed to measure the consistency of HSID methods in measuring the absolute differences in rankings. Further, three commonly used HSID methods are applied to estimate crashes on Texas rural two-lane roadway segments with eight years of crash data. The performance of these three HSID methods were evaluated to validate the proposed criteria. Comparisons between the existing criteria and the generalized criteria revealed that: (1) the generalized criteria are capable of evaluating different HSID methods over multiple periods; and (2) the generalized criteria are enhanced with a consistent result and with less discrepancy in scores of the best identified HSID method.
热点识别 (HSID) 是公路安全管理过程中最重要的组成部分之一。先前的研究发现,使用不同方法识别出的危险地点并不一致。因此,有必要评估各种 HSID 方法的性能。现有的评价标准仅限于两个连续的时间段,并且没有考虑到事故的时间不稳定性。此外,一个现有的标准并不能在特定情况下精确地评估 HSID 方法。本文提出了三个通用标准来评估 HSID 方法的性能:(1)提出了高事故一致性测试 (HCCT),以评估 HSID 方法在识别高事故数量地点的可靠性方面的性能;(2)提出了常见地点一致性测试 (CSCT),以衡量 HSID 方法在一致识别一组常见地点为危险地点方面的性能;(3)提出了绝对等级差异测试 (ARDT),以衡量 HSID 方法在衡量等级绝对差异方面的一致性。此外,应用三种常用的 HSID 方法来估计德克萨斯州农村双车道路段的事故,这些路段有八年的事故数据。评估了这三种 HSID 方法的性能,以验证所提出的标准。现有的标准与广义标准之间的比较表明:(1)广义标准能够在多个时间段内评估不同的 HSID 方法;(2)广义标准具有一致性的结果,并减少了最佳识别 HSID 方法的分数差异。