Centre for Accident Research and Road Safety - Queensland (CARRS-Q), Queensland University of Technology, Brisbane, Australia.
School of Engineering, Deakin University, Geelong, Australia.
Traffic Inj Prev. 2020;21(3):222-227. doi: 10.1080/15389588.2020.1734190. Epub 2020 Mar 10.
Vehicle crashes in work zones are significantly underreported in official crash datasets of many countries, including Australia. This leads to underestimations of work zone crash frequencies and limited understanding of crash causation factors. To address this important gap in the literature, this paper examines historical data from two different sources - police-reported crash data and organizational Workplace Health and Safety (WHS) records - to understand work zone crashes and their characteristics in Queensland, Australia. WHS data including text fields were cleaned and coded to match police-reported crash data variables for comparative descriptive analysis of a 45-month period. involvement of a moving vehicle that collided with another vehicle, pedestrian, object, or overturned, at a work zone accessible to public traffic. There were more work zone crashes in the WHS data (N = 820) than the police-reported data (N = 128) and the WHS data offered a deeper understanding of incident causes due to the greater breadth of information available. The two data sets varied in terms of the patterns of crash type, the mixes of road users and vehicles involved, and the contributing factors that were identified, highlighting dangers of relying on single sources for understanding crash characteristics. The WHS data appear relatively consistent with the overall work zone safety literature, but their use has limitations regarding processing and reliability. Conversely, police-reported crash data can be analyzed efficiently but they suffer from underreporting and selective reporting. The WHS dataset is a valuable alternative to police-reported crash data for understanding vehicle crash characteristics in work zones, particularly where restrictive reporting criteria lead to inability to identify these crashes in police data. Reliability and utility of WHS data could be improved through advanced reporting systems and procedures, potentially including development of an app-based system for use on mobile electronic devices.
车辆在工作区的事故在许多国家的官方事故数据中都被严重低估,包括澳大利亚。这导致了对工作区事故频率的低估和对事故原因因素的有限理解。为了解决文献中的这一重要空白,本文从两个不同的来源——警方报告的事故数据和组织工作场所健康和安全(WHS)记录——检查了澳大利亚昆士兰州的历史数据,以了解工作区事故及其特征。WHS 数据包括文本字段,经过清理和编码,与警方报告的事故数据变量相匹配,以便对 45 个月的时间进行比较描述性分析。涉及在可向公众开放交通的工作区与另一辆车、行人、物体或翻倒车辆碰撞的移动车辆。WHS 数据(N=820)中的工作区事故比警方报告数据(N=128)多,并且由于可用信息更广泛,WHS 数据提供了对事故原因的更深入了解。这两个数据集在事故类型的模式、涉及的道路使用者和车辆的组合以及确定的促成因素方面存在差异,这凸显了仅依赖单一来源来了解事故特征的危险。WHS 数据与整体工作区安全文献相对一致,但在处理和可靠性方面存在局限性。相比之下,警方报告的事故数据可以高效地进行分析,但它们存在漏报和选择性报告的问题。WHS 数据集是警方报告的事故数据的一种有价值的替代方法,可用于了解工作区中的车辆碰撞特征,特别是在限制性报告标准导致警方数据无法识别这些碰撞的情况下。通过先进的报告系统和程序,WHS 数据的可靠性和实用性可以得到提高,可能包括开发基于应用程序的系统,以便在移动电子设备上使用。