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原文传递 Effects of Pavement Surface Conditions on Traffic Crash Severity
题名: Effects of Pavement Surface Conditions on Traffic Crash Severity
其他题名: Abdel-Aty,M.,Devarasetty,P.C.,and Pande,A.(2009)."Safety evaluation of multilane arterials in Florida."Accid.Anal.Prev.,41(4),777-788.
正文语种: 英文
作者: Jaeyoung Lee
关键词: Pavement management;Traffic safety;Bayesian modeling;Ordered logistic model;Severity analysis;GIS analysis;Random forest;Variable importance
摘要: Improving road safety through proper pavement maintenance is one of the goals of pavement management. Many studies have found that pavement conditions significantly influence traffic safety. Although several studies have explored the relationship between pavement conditions and crash occurrence, the effect of poor pavement conditions on crash severity levels has not been investigated, especially by using a discrete model that can handle ordered data. This paper focuses on the development of the relationship between poor pavement conditions and crash severity levels using a series of Bayesian ordered logistic models for low/medium/high speed roads and single/multiple collision cases. The Bayesian ordered logistic regression models indicated that the poor pavement condition decreases the severity of singlevehicle collisions on low-speed roads whereas it increases their severity on high-speed roads. On the other hand, the poor pavement condition increases the severity of multiple-vehicle crashes on all roads. Findings of this study can assist transportation agencies at the federal, state, and local levels to select appropriate pavement maintenance and rehabilitation strategies to reduce traffic crash severity levels.
出版年: 2015
论文唯一标识: P-72Y2015V141N10002
英文栏目名称: Technical Papers
doi: 10.1061/(ASCE)TE.1943-5436.0000785
期刊名称: Journal of Transportation Engineering
拼音刊名(出版物代码): P-72
卷: 141
期: 10
页码: 1-11
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