An analysis of pedestrian safety at bus stops using FARS data

IF 4.4 2区 工程技术 Q1 ERGONOMICS
Allison Rewalt, Candace Brakewood, Christopher Cherry
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引用次数: 0

Abstract

Introduction: Bus stops must be safely accessible to transit passengers who begin and end their trips as pedestrians. Prior studies have analyzed bus stop safety using crash data, but many assumed that all crashes near bus stops were directly related to the stop itself, largely due to the lack of transit-related information in crash data. This research addresses this gap by analyzing fatal “transit bus stop-related” pedestrian crashes from the Fatality Analysis Reporting System (FARS) and comparing them to other nearby fatal pedestrian crashes. Methodology: A descriptive analysis, crosstabulation, binary logit models, and hierarchical clustering were used to compare fatal transit bus stop-related pedestrian crashes and other fatal pedestrian crashes within a quarter- and half-mile radius. Results: Most fatal crashes in both groups occurred midblock, on higher-speed roads, and on arterials, consistent with established pedestrian crash risk factors. The subsequent analysis focused on isolating risks specifically associated with bus stops. The binary logit models indicated that midblock locations, pedestrians stationary on the roadside, and bus-involved crashes significantly increased the odds of a crash being transit bus stop-related. Notably, midblock crashes had 4.7 to 5.2 times the odds of being transit bus stop-related. The clustering revealed three transit bus stop-related crash scenarios: (1) crossing to/from an intersection stop, (2) waiting on the roadside at a midblock stop, and (3) crossing to/from a midblock stop. Clustering the combined sample of fatal transit bus stop-related and nearby fatal crashes revealed a distinct cluster, predominantly composed of transit bus stop-related crashes characterized by pedestrians waiting on the roadside. Conclusions: Different stages of a transit passenger’s journey represent distinct crash types, and midblock stops are especially high-risk. Practical Applications: Crossing improvements and speed reductions may benefit both transit passengers and nearby pedestrians. Evaluating conditions directly at the bus stop may further improve transit passenger safety.
基于FARS数据的公交车站行人安全分析
导言:公交车站必须能够安全到达,以行人的身份开始和结束他们的旅程。先前的研究使用碰撞数据分析公交站点的安全性,但许多人认为公交站点附近的所有碰撞都与站点本身直接相关,这主要是由于碰撞数据中缺乏与公交相关的信息。本研究通过分析死亡分析报告系统(FARS)中致命的“公交车站相关”行人事故,并将其与附近的其他致命行人事故进行比较,解决了这一差距。方法:采用描述性分析、交叉标定、二元logit模型和分层聚类来比较公交车站相关的致命行人事故和四分之一英里和半英里半径内的其他致命行人事故。结果:两组中大多数致命事故发生在街区中间、高速道路和动脉上,与已确定的行人碰撞危险因素一致。随后的分析侧重于隔离与公交车站相关的风险。二元logit模型表明,街区中间的位置、路边的行人和涉及公共汽车的碰撞显著增加了与公交车站相关的碰撞的几率。值得注意的是,街区中间的交通事故与公交车站相关的几率是前者的4.7至5.2倍。该聚类揭示了三种与公交车站相关的碰撞场景:(1)从十字路口车站穿过,(2)在街区中间车站的路边等待,(3)从街区中间车站穿过。与公交站点相关的致命事故和附近致命事故的组合样本显示出一个明显的集群,主要由与公交站点相关的事故组成,其特征是行人在路边等待。结论:客运旅程的不同阶段代表不同的碰撞类型,中间街区站点尤其危险。实际应用:十字路口的改进和减速可能对过境乘客和附近的行人都有好处。直接在公交车站评估情况可以进一步提高公交乘客的安全。
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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来源期刊
CiteScore
6.40
自引率
4.90%
发文量
174
审稿时长
61 days
期刊介绍: Journal of Safety Research is an interdisciplinary publication that provides for the exchange of ideas and scientific evidence capturing studies through research in all areas of safety and health, including traffic, workplace, home, and community. This forum invites research using rigorous methodologies, encourages translational research, and engages the global scientific community through various partnerships (e.g., this outreach includes highlighting some of the latest findings from the U.S. Centers for Disease Control and Prevention).
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