反思自行车安全:性别在骑车人碰撞受伤严重程度结果中的作用

IF 12.5 1区 工程技术 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Analytic Methods in Accident Research Pub Date : 2024-08-10 DOI:10.1016/j.amar.2024.100349
Natalia Barbour, Mohamed Abdel-Aty
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引用次数: 0

摘要

鉴于持续的气候危机和对环境友好型社区的需求,人们对自行车等可持续交通解决方案的兴趣与日俱增。本研究试图将公平因素纳入自行车安全研究,并利用 2022 年佛罗里达州发生的 4,457 起单人自行车与单人机动车碰撞事故的全年数据,估计了一系列随机参数多叉 logit 模型,这些模型的均值和方差具有异质性,以捕捉结果严重程度的性别差异。在一项新的应用中,对以前文献中用于检验时间稳定性的无约束和部分约束等先进统计模型进行了比较。对部分约束模型进行了估算,以最好地识别性别特定因素,并论证分别评估和促进女性和男性骑车者安全的必要性。研究发现,导致因素和碰撞环境对女性和男性骑车者碰撞受伤严重程度的影响存在很大差异。研究评估了年龄、地点、骑车人行为、天气和道路设计等因素,并进行了样本外模拟,以获得更多的见解。研究结果表明,我们在设计城市和制定政策时需要考虑到男女骑车人在行为和经验上的集体差异,采取有针对性的方法。
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Rethinking cycling safety: The role of gender in cyclist crash injury severity outcomes

Given the ongoing climate crisis and the need for environmentally friendly communities, there has been an increasing interest in sustainable mobility solutions such as cycling. This study seeks to incorporate an equitable component to studying cycling safety and uses one full year’s data of 4,457 single bicycle-single motor vehicle crashes that took place in 2022 in the state of Florida to estimate a series of random parameters multinomial logit models with heterogeneity in the means and variances to capture gender differences in outcome severities. A comparison of advanced statistical models such as unconstrained and partially constrained approaches, that were previously employed in the literature to test for temporal stability, is undertaken in a new application. A partially constrained model is estimated to best identify gender specific factors and argue the need to evaluate and promote safety of female and male cyclists separately. The study finds substantial differences between how the contributing factors and crash circumstances impact the crash injury severity of women and men cyclists. It evaluates factors such as age, location, cyclist behavior, weather, and road design as well as performs out-of-sample simulation to gain additional insights. The findings of this research emphasize the need for targeted approaches in designing our cities and policy making that account for the collective differences in behavior and experience of women and men cyclists.

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来源期刊
CiteScore
22.10
自引率
34.10%
发文量
35
审稿时长
24 days
期刊介绍: Analytic Methods in Accident Research is a journal that publishes articles related to the development and application of advanced statistical and econometric methods in studying vehicle crashes and other accidents. The journal aims to demonstrate how these innovative approaches can provide new insights into the factors influencing the occurrence and severity of accidents, thereby offering guidance for implementing appropriate preventive measures. While the journal primarily focuses on the analytic approach, it also accepts articles covering various aspects of transportation safety (such as road, pedestrian, air, rail, and water safety), construction safety, and other areas where human behavior, machine failures, or system failures lead to property damage or bodily harm.
期刊最新文献
Determinants influencing alcohol-related two-vehicle crash severity: A multivariate Bayesian hierarchical random parameters correlated outcomes logit model Effects of sample size on pedestrian crash risk estimation from traffic conflicts using extreme value models Editorial Board A cross-comparison of different extreme value modeling techniques for traffic conflict-based crash risk estimation The role of posted speed limit on pedestrian and bicycle injury severities: An investigation into systematic and unobserved heterogeneities
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