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行人碰撞事故频率:解析影响因素和种族差异。

Pedestrian crash frequency: Unpacking the effects of contributing factors and racial disparities.

机构信息

The University of Texas at Austin, Dept of Civil, Architectural and Environmental Engineering, 301 E. Dean Keeton St. Stop C1761, Austin, TX 78712, USA.

The University of Texas at Austin, Dept of Civil, Architectural and Environmental Engineering, 301 E. Dean Keeton St. Stop C1761, Austin, TX 78712, USA; The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong.

出版信息

Accid Anal Prev. 2023 Mar;182:106954. doi: 10.1016/j.aap.2023.106954. Epub 2023 Jan 9.

Abstract

In this paper, we unpack the magnitude effects of the determinants of pedestrian crashes using a multivariate analysis approach. We consider four sets of exogenous factors that characterize residential neighborhoods as well as potentially affect pedestrian crashes and the racial composition of such crashes: (1) crash risk exposure (CE) attributes, (2) cultural variables, (3) built environment (BE) features, and (4) sociodemographic (SD) factors. Our investigation uses pedestrian crash and related data from the City of Houston, Texas, which we analyze at the spatial Census Block Group (CBG) level. Our results indicate that social resistance considerations (that is, minorities resisting norms as they are perceived as being set by the majority group), density of transit stops, and road design considerations (in particular in and around areas with high land-use diversity) are the three strongest determinants of pedestrian crashes, particularly in CBGs with a majority of the resident population being Black. The findings of this study can enable policymakers and planners to develop more effective countermeasures and interventions to contain the growing number of pedestrian crashes in recent years, as well as racial disparities in pedestrian crashes. Importantly, transportation safety engineers need to work with social scientists and engage with community leaders to build trust before leaping into implementing planning countermeasures and interventions. Issues of social resistance, in particular, need to be kept in mind.

摘要

在本文中,我们使用多元分析方法来剖析行人碰撞的决定因素的幅度效应。我们考虑了四组外生因素,这些因素描述了居住社区的特征,并可能影响行人碰撞以及此类碰撞的种族构成:(1) 碰撞风险暴露 (CE) 属性;(2) 文化变量;(3) 建筑环境 (BE) 特征;以及 (4) 社会人口统计学 (SD) 因素。我们的研究使用了来自德克萨斯州休斯顿市的行人碰撞和相关数据,我们在空间普查街区组 (CBG) 层面进行分析。我们的结果表明,社会抵制考虑因素(即少数群体抵制被视为由多数群体设定的规范)、过境站密度以及道路设计考虑因素(特别是在高土地利用多样性的区域内和周围)是行人碰撞的三个最重要决定因素,尤其是在居民人口以黑人为主的 CBG 中。本研究的结果可以使政策制定者和规划者能够制定更有效的对策和干预措施,以遏制近年来行人碰撞数量的增加,以及行人碰撞中的种族差异。重要的是,交通安全工程师需要与社会科学家合作,并在实施规划对策和干预措施之前与社区领袖建立信任。特别是需要牢记社会抵制问题。

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