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Safety modeling of suburban arterials in Shanghai, China

机译:中国上海郊区动脉的安全建模

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摘要

As urbanization accelerates in Shanghai, land continues to develop along suburban arterials which results in more access points along the roadways and more congested suburban arterials; all these changes have led to deterioration in traffic safety. In-depth safety analysis is needed to understand the relationship between roadway geometric design, access features, traffic characteristics, and safety. This study examined 161 road segments (each between two adjacent signalized intersections) of eight suburban arterials in Shanghai. Information on signal spacing, geometric design, access features, traffic characteristics, and surrounding area types were collected. The effect of these factors on total crash occurrence was investigated. To account for the hierarchical data structure, hierarchical Bayesian models were developed for total crashes. To identify diverse effects on different crash injury severity, the total crashes were separated into minor injury and severe injury crashes. Bivariate hierarchical Bayesian models were developed for minor injury and severe injury to account for the correlation among different severity levels. The modeling results show that the density of signal spacing along arterials has a significant influence on minor injury, severe injury, and total crash frequencies. The non-uniform signal spacing has a significant impact on the occurrence of minor injury crashes. At the segment-level, higher frequencies of minor injury, severe injury, and total crashes tend to occur for the segments with curves, those with a higher density of access points, those with a higher percentage of heavy vehicles, and those in inner suburban areas. This study is useful for applications such as related engineering safety improvements and making access management policy.
机译:随着上海城市化进程的加快,土地沿郊区干线的继续发展,这导致沿道路的更多通行点和更拥挤的郊区干线。所有这些变化导致交通安全恶化。需要进行深入的安全分析,以了解巷道几何设计,通道特征,交通特征和安全性之间的关系。这项研究调查了上海八条郊区动脉的161个路段(每个路段位于两个相邻的信号交叉口之间)。收集了有关信号间距,几何设计,通道特征,交通特征和周围区域类型的信息。研究了这些因素对总碰撞发生的影响。为了说明分层数据结构,开发了针对完全崩溃的分层贝叶斯模型。为了确定对不同碰撞伤害严重程度的不同影响,将全部碰撞分为轻度伤害和重度伤害。针对轻度伤害和重度伤害开发了双变量分级贝叶斯模型,以说明不同严重程度水平之间的相关性。建模结果表明,沿动脉的信号间隔密度对轻伤,重伤和总碰撞频率有重大影响。不均匀的信号间隔对轻伤事故的发生有重大影响。在路段一级,带有弯道的路段,具有较高接入点密度的路段,具有重型车辆百分比的路段和位于郊区的路段的路段,发生轻度伤害,重伤和完全碰撞的频率较高。地区。这项研究对于诸如相关工程安全性改进和制定访问管理策略之类的应用很有用。

著录项

  • 来源
    《Accident Analysis & Prevention》 |2014年第9期|215-224|共10页
  • 作者单位

    Tongji University, School of Transportation Engineering, 4800 Cao'an Road, 201804, Jiading District, Room 553, Shanghai 201804, China Key Laboratory of Road and Traffic Engineering of the State Ministry of Education, Tongji University, Shanghai 201804, China;

    School of Transportation Engineering, Tongji University, Shanghai 201804, China;

    School of Transportation Engineering, Tongji University, Shanghai 201804, China;

    Department of Civil & Environmental Engineering, Brigham Young University, 368 Clyde Building, Provo, UT 84602, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Suburban arterial; Safety analysis; Hierarchical Bayesian model; Bivariate Bayesian models; Risk factor;

    机译:郊区动脉;安全分析;分层贝叶斯模型;双变量贝叶斯模型;风险因素;

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