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A conceptual framework to understand the role of built environment on traffic safety

机译:一种了解建筑环境对交通安全的作用的概念框架

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摘要

Introduction: Many U.S. cities have adopted the Vision Zero strategy with the specific goal of eliminating traffic-related deaths and injuries. To achieve this ambitious goal, safety professionals have increasingly called for the development of a safe systems approach to traffic safety. This approach calls for examining the macrolevel risk factors that may lead road users to engage in errors that result in crashes. This study explores the relationship between built environment variables and crash frequency, paying specific attention to the environmental mediating factors, such as traffic exposure, traffic conflicts, and network-level speed characteristics. Methods: Three years (2011-2013) of crash data from Mecklenburg County, North Carolina, were used to model crash frequency on surface streets as a function of built environment variables at the census block group level. Separate models were developed for total and KAB crashes (i.e., crashes resulting in fatalities (K), incapacitating injuries (A), or non-incapacitating injuries (B)) using the conditional autoregressive modeling approach to account for unobserved heterogeneity and spatial autocorrelation present in data. Results: Built environment variables that are found to have positive associations with both total and KAB crash frequencies include population, vehicle miles traveled, big box stores, intersections, and bus stops. On the other hand, the number of total and KAB crashes tend to be lower in census block groups with a higher proportion of two-lane roads and a higher proportion of roads with posted speed limits of 35 mph or less. Conclusions: This study demonstrates the plausible mechanism of how the built environment influences traffic safety. The variables found to be significant are all policy-relevant variables that can be manipulated to improve traffic safety. Practical Applications: The study findings will shape transportation planning and policy level decisions in designing the built environment for safer travels. (C) 2020 National Safety Council and Elsevier Ltd. All rights reserved.
机译:简介:许多美国城市采用了愿景零策略,具体目标是消除与交通相关的死亡和伤害的目标。为实现这一雄心勃勃的目标,安全专业人士越来越多地要求开发安全的交通安全的安全系统。这种方法要求检查可能导致道路用户的MacroLevel风险因素从事导致崩溃的错误。本研究探讨了内置环境变量和碰撞频率之间的关系,对环境中介因子进行了专门的关注,例如交通曝光,交通冲突和网络级速度特征。方法:北卡罗来纳州梅克伦堡县的三年(2011-2013)用于模拟地面街道上的碰撞频率,作为人口普查块组级别的内置环境变量的函数。使用条件归共建模方法开发了单独的和KAB崩溃(即导致死亡率(K),丧失伤害(a)或非丧失伤害(b))的崩溃,以解释未观察到的异质性和存在的空间自相关在数据中。结果:建造环境变量与总共和KAB崩溃频率都有积极的协会,包括人口,车辆里程,大盒子商店,交叉路口和公交车站。另一方面,总共和kab崩溃的数量往往较低的人口普查块组,双车道道路比例较高,道路比例较高,透明速度限制为35英里/小时。结论:本研究表明,建筑环境如何影响交通安全的合理机制。发现很重要的变量是可以操纵的所有策略相关变量,以改善交通安全。实际应用:研究调查结果将塑造在设计更安全旅行的内置环境时的运输计划和政策水平决策。 (c)2020国家安全委员会和elestvier有限公司保留所有权利。

著录项

  • 来源
    《Journal of Safety Research》 |2020年第12期|41-50|共10页
  • 作者单位

    Florida Atlantic Univ Charles E Schmidt Coll Sci Dept Urban & Reg Planning 777 Glades Rd SO 284 Boca Raton FL 33431 USA;

    Florida Atlantic Univ Charles E Schmidt Coll Sci Dept Urban & Reg Planning 777 Glades Rd SO 284 Boca Raton FL 33431 USA;

    Florida Atlantic Univ Charles E Schmidt Coll Sci Dept Urban & Reg Planning 777 Glades Rd SO 284 Boca Raton FL 33431 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Crash mediator; Macrolevel crash analysis; Conditional autoregressive model; Safety planning; Safe systems;

    机译:崩溃介质;MacRoLevel崩溃分析;有条件的自回归模型;安全规划;安全系统;

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