2019-2021 年,在加纳、越南和墨西哥观察学校区域行人与车辆的交通冲突,以评估道路安全干预措施的有效性并减少伤害。

Jennifer M Swanson, Natalie Draisin, Agnieszka Krasnolucka, Clara Vadillo, Sonia Medina, Berenice Pérez, Simon Kalolo, Bui Nguyen Thu Quyen, Vo Ngoc Minh, Erin Sauber-Schatz
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摘要

背景:每天有 3,000 多名儿童在路上受伤或死亡,通常是在上学路上。道路交通事故及其造成的伤害是可以预防的。我们可以做更多的工作来减少伤害和挽救生命。交通冲突技术(TCT)是一种收集观察数据的简单方法,通过统计和分析交通冲突来评估道路安全干预措施的有效性。我们开发并试用了一套交通冲突技术工具包,用于分析中低收入国家学校区域内行人与车辆之间的交通冲突:方法:加纳、越南和墨西哥的三个非政府组织采用了 TCT 工具包中的三个 TCT,收集道路安全干预措施实施前(干预前)和实施后(干预后)的交通冲突数据。由于交通冲突的数量通常少于 100 起,因此根据伽马分布计算了交通冲突率的置信区间 (CI)。利用计算出的交通冲突率,通过确定置信区间的重叠情况来评估干预前后交通冲突率的差异。如果 CIs 不重叠,则表示差异在 0.05 水平上具有统计学意义:结果:对于每种方法,结果都表明干预前和干预后数据收集期间的交通冲突有所减少。干预前和干预后的交通冲突率不重叠,表明结果具有统计学意义,为道路安全干预措施的有效性提供了证据:TCT 是一种成本相对较低且简单的技术,为根据真实世界的数据做出改善道路安全的决策提供了机会。TCT 可以有效客观地评估道路安全干预措施,帮助决策者评估改善道路安全、预防伤害和挽救生命的战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Observing pedestrian-vehicle traffic conflicts in school zones to evaluate the effectiveness of road safety interventions and reduce injuries in Ghana, Vietnam, and Mexico, 2019-2021.

Background: Daily more than 3,000 children are injured or killed on the road, often along the school route. Road traffic crashes and resulting injuries are preventable. More can be done to reduce injuries and save lives. Traffic Conflict Techniques (TCTs) are simple methods of collecting observational data to evaluate the effectiveness of road safety interventions through counting and analyzing traffic conflicts. A TCT Toolkit was developed and piloted to analyze pedestrian-vehicle traffic conflicts in school zones in low- and middle-income countries.

Methods: Three non-governmental organizations in Ghana, Vietnam, and Mexico applied three TCTs from the TCT Toolkit to collect traffic conflict data before (pre-intervention) and after (post-intervention) road safety intervention implementation. As the number of traffic conflicts was often less than 100, confidence intervals (CIs) based on gamma distributions were calculated for the traffic conflict rate. Using the calculated traffic conflict rate, the difference between pre- and post-intervention rates was assessed by determining overlap of the CIs. When CIs did not overlap, the difference was said to be statistically significant at the 0.05 level.

Results: For each method, results indicated a decrease in traffic conflicts between pre- and post-intervention data collection periods. Pre- and post-intervention traffic conflict rates with non-overlapping CIs demonstrated the results were statistically significant, providing evidence that the road safety interventions were effective.

Conclusions: TCTs are relatively low-cost and simple techniques that provide an opportunity to base road safety improvement decisions on real-world data. TCTs are effective in objectively evaluating road safety interventions and can help decision-makers evaluate strategies for improving road safety, preventing injuries and saving lives.

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