头盔的使用对轻便摩托车与车辆碰撞事故中轻便摩托车骑行者受伤严重程度的影响:部分时间约束随机参数双变量概率模型的启示。

IF 5.7 1区 工程技术 Q1 ERGONOMICS
Chenzhu Wang , Mohamed Abdel-Aty , Pengfei Cui , Lei Han
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引用次数: 0

摘要

轻便摩托车体积小,行驶速度难以预测,因此其他司机很难察觉。这种缺乏可见度的情况,再加上轻便摩托车提供的保护极少,可能会导致严重的撞车事故,尤其是在骑手没有佩戴头盔的情况下。本文探讨了与其他车辆发生碰撞的轻便摩托车驾驶者头盔使用情况与受伤严重程度之间的关系。本文采用了一系列联合双变量 probit 模型,将受伤严重程度和头盔使用情况作为因变量。收集了 2019 年至 2021 年佛罗里达州两车轻便摩托车碰撞事故的数据,并将其分为三个时期:COVID-19 大流行之前、期间和之后。通过计算碰撞参与比来研究各类轻便摩托车驾驶者的安全风险要素,同时还探讨了重大的时间变化。具有均值异质性的相关联合随机参数双变量 probit 模型在捕捉交互式非观察异质性方面显示出其优越性,揭示了各种变量如何显著影响伤害结果和头盔的使用。通过似然比检验、样本外预测和边际效应计算,验证了与 COVID-19 大流行相关的时间不稳定性。此外,研究还注意到一些参数在多个时期内保持时间稳定性,这促使我们开发了一种部分时间限制的建模方法,以便从长期角度提供见解。具体而言,研究发现男性轻便摩托车驾驶者戴头盔的可能性较低,并且与受伤/死亡率呈负相关。在双车道道路上骑轻便摩托车的人也不太可能戴头盔。此外,轻便摩托车驾驶者在白天的受伤或死亡风险较低,而在这三个时间段内,角度碰撞始终导致较高的受伤和死亡风险。这些发现为了解轻便摩托车驾驶者的头盔使用情况和受伤严重程度提供了宝贵的信息,并为制定保护他们的对策提供了指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of helmet usage on moped riders’ injury severity in moped-vehicle crashes: Insights from partially temporal constrained random parameters bivariate probit models
Mopeds are small and move unpredictably, making them difficult for other drivers to perceive. This lack of visibility, coupled with the minimal protection that mopeds provide, can lead to serious crashes, particularly when the rider is not wearing a helmet. This paper explores the association between helmet usage and injury severity among moped riders involved in collisions with other vehicles. A series of joint bivariate probit models are employed, with injury severity and helmet usage serving as dependent variables. Data on two-vehicle moped crashes in Florida from 2019 to 2021 are collected and categorized into three periods: before, during, and after the COVID-19 pandemic. Crash involvement ratios are calculated to examine the safety risk elements of moped riders in various categories, while significant temporal shifts are also explored. The correlated joint random parameters bivariate probit models with heterogeneity in means demonstrate their superiority in capturing interactive unobserved heterogeneity, revealing how various variables significantly affect injury outcomes and helmet usage. Temporal instability related to the COVID-19 pandemic is validated through likelihood ratio tests, out-of-sample predictions, and calculations of marginal effects. Additionally, several parameters are noted to remain temporally stable across multiple periods, prompting the development of a partially temporally constrained modeling approach to provide insights from a long-term perspective. Specifically, it is found that male moped riders are less likely to wear helmets and are negatively associated with injury/fatality rates. Moped riders on two-lane roads are also less likely to wear helmets. Furthermore, moped riders face a lower risk of injury or fatality during daylight conditions, while angle crashes consistently lead to a higher risk of injuries and fatalities across the three periods. These findings provide valuable insights into helmet usage and injury severity among moped riders and offer guidance for developing countermeasures to protect them.
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来源期刊
CiteScore
11.90
自引率
16.90%
发文量
264
审稿时长
48 days
期刊介绍: Accident Analysis & Prevention provides wide coverage of the general areas relating to accidental injury and damage, including the pre-injury and immediate post-injury phases. Published papers deal with medical, legal, economic, educational, behavioral, theoretical or empirical aspects of transportation accidents, as well as with accidents at other sites. Selected topics within the scope of the Journal may include: studies of human, environmental and vehicular factors influencing the occurrence, type and severity of accidents and injury; the design, implementation and evaluation of countermeasures; biomechanics of impact and human tolerance limits to injury; modelling and statistical analysis of accident data; policy, planning and decision-making in safety.
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