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Estimating the Impact 1 of Work Zones on Highway Safety

机译:估算工作区对公路安全的影响1

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摘要

Investigating the operational and safety impacts of work zones on traffic are of great interest to transportation agencies. Despite the increasing attention in modeling work zone crash frequency, only a limited number of studies directly examined the change in crash rates under work zone conditions versus the corresponding non-work zone conditions. The main research question is thus whether or not a given roadway experiences increased number of crashes in the presence of a work zone. Another important goal of this study is to address the main research question using a large number of relatively long-term work zones. This is a challenging task because a major effort for building a comprehensive data set of a large number of work zones is needed. To answer this important question, an integrated data set is created by aggregating information from multiple data sources for sixty long-term work zones. Then descriptive analysis is performed to examine the characteristics of work zone crashes. Preliminary analysis results show that the crash rate increased by 24.4 percent under the work zone condition. To further statistically quantify the impact of work zones on traffic safety, negative binomial regression models are developed to identify relationship between a set of covariates and the crash counts aggregated by time and crash severity. An indicative variable is incorporated into the model to represent the work zone and non-work zone conditions for the studied sites. Overall, the descriptive analysis and modeling results suggest that the presence of work zones significantly increases the risk of crashes on roads.
机译:调查工作区对交通的操作和安全影响非常重要 运输机构。尽管越来越多地关注工作区碰撞频率的建模, 只有少数研究直接检查了工作区下的碰撞率变化 条件与相应的非工作区条件。主要研究问题是 因此,给定的道路是否会在存在以下情况的情况下增加撞车次数 工作区。这项研究的另一个重要目标是解决以下主要研究问题: 大量的相对长期的工作区域。这是一项具有挑战性的任务,因为 需要建立大量工作区域的综合数据集。到 回答这个重要问题,可以通过汇总来自以下人员的信息来创建一个集成的数据集 六十个长期工作区的多个数据源。然后进行描述性分析以 检查工作区崩溃的特征。初步分析结果表明 在工作区域条件下,碰撞率提高了24.4%。为了进一步统计 量化工作区对交通安全的影响,负二项式回归模型是 开发以识别一组协变量和由以下原因汇总的崩溃计数之间的关系 时间和崩溃严重程度。指示变量被合并到模型中以表示 研究地点的工作区和非工作区条件。总体而言,描述性分析 建模结果表明,工作区的存在显着增加了患病风险。 在道路上撞车。

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