Investigation of Contributing Factors to Traffic Crash Severity in Southeast Texas Using Multiple Correspondence Analysis

IF 0.4 Q4 TRANSPORTATION Journal of Road Safety-JRS Pub Date : 2021-11-01 DOI:10.33492/jrs-d-21-00051
Guanlong Li, Yueqing Li, Yalong Li, B. Craig, Xing Wu
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引用次数: 1

Abstract

Driving is the essential means of travel in Southeast Texas, a highly urbanized and populous area that serves as an economic powerhouse of the whole state. However, driving in Southeast Texas is subject to many risks as this region features a typical humid subtropical climate with long hot summers and short mild winters. Local drivers would encounter intense precipitation, heavy fog, strong sunlight, standing water, slick road surface, and even frequent extreme weather such as tropical storms, hurricanes and flood during their year-around travels. Meanwhile, research has revealed that the fatality rate per 100 million vehicle miles driven in urban Texas became considerably higher than national average since 2010, and no conclusive study has elucidated the association between Southeast Texas crash severity and potential contributing factors. This study used multiple correspondence analysis (MCA) to examine a group of contributing factors on how their combinatorial influences determine crash severity by creating combination clouds on a factor map. Results revealed numerous significant combinatorial effects. For example, driving in rain and extreme weather on a wet road surface has a higher chance in causing crashes that incur severe or deadly injuries. Besides, other contributing factors involving risky behavioral factors, road designs, and vehicle factors were well discussed. The research outcomes could inspire local traffic administration to take more effective countermeasures to systematically mitigate road crash severity.
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基于多重对应分析的德克萨斯州东南部交通事故严重程度影响因素调查
开车是德克萨斯州东南部的主要交通方式,这是一个高度城市化和人口稠密的地区,是整个州的经济引擎。然而,在德克萨斯州东南部开车有很多风险,因为这个地区的特点是典型的亚热带湿润气候,夏季炎热,冬季短暂温和。当地司机在一年到头的旅途中会遇到强降水、大雾、强光、积水、路面光滑,甚至热带风暴、飓风、洪水等极端天气频繁出现。与此同时,研究显示,自2010年以来,德克萨斯州城市每1亿辆汽车行驶里程的死亡率大大高于全国平均水平,而且没有结论性研究阐明德克萨斯州东南部车祸严重程度与潜在因素之间的关联。本研究使用多重对应分析(MCA)来检查一组促成因素,通过在因素图上创建组合云来确定它们的组合影响如何决定坠机严重程度。结果显示了许多显著的组合效应。例如,在下雨或极端天气下在潮湿的路面上驾驶,更有可能造成严重或致命的伤害。此外,还讨论了其他影响因素,包括危险行为因素、道路设计和车辆因素。研究结果可以启发地方交通管理部门采取更有效的对策,系统地减轻道路碰撞严重程度。
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来源期刊
Journal of Road Safety-JRS
Journal of Road Safety-JRS TRANSPORTATION-
CiteScore
0.80
自引率
0.00%
发文量
30
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