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Effect of Built Environment Factors on Pedestrian Safety in Portuguese Urban Areas

机译:建筑环境因素对葡萄牙城区行人安全的影响

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This paper identifies and analyzes variables that influence pedestrian safety based on the definition of models of pedestrian crash frequency for urban areas in Portugal. It considers three groups of explanatory variables, namely: (i) built environment; (ii) pedestrian infrastructure, and (iii) road infrastructure, as well as exposure variables combining pedestrian and vehicular traffic volumes. Data on the 16 variables considered were gathered from locations in the counties of Braga and Guimar?es. The inclusion of pedestrian infrastructure variables in studies of this type is an innovation that allows for measuring the impacts of the dimensions recommended for this type of infrastructure and assessing the implementation of policies to support the mobility of vulnerable users, especially pedestrians. Examples of such variables are unobstructed space for pedestrian mobility and the recommendable distance separating regulated crossings. Zero-Truncated Negative Binomial Regression Models (ZTNB) and Generalized Estimation Equations (GEE) are used to develop crash prediction models. Results show that in addition to the variables identified in similar studies such as carriageway width, other statistically significant variables like longitudinal slope and distance between crosswalks have a negative influence on pedestrian safety. On-street parking places, one-way streets, and the existence of raised medians have an opposite contribution to safety.
机译:本文识别并分析了影响行人安全的变量,这些变量基于葡萄牙城市城市地区行人撞击频率模型的定义。它考虑了三组解释性变量,即:(i)建筑环境; (ii)行人基础设施,(iii)道路基础设施,以及结合行人和车辆交通卷的曝光变量。审议的16个变量的数据从布拉加和吉马县的地点收集。将行人基础设施变量包含在这种类型的研究中是一种创新,允许测量推荐这种类型的基础设施的尺寸的影响,并评估支持弱势用户的移动性,尤其是行人的政策。这种变量的示例是用于行人移动性的不受阻碍的空间,以及分离调节过的交叉的推荐距离。零截断的负二进制回归模型(ZTNB)和广义估计方程(GEE)用于开发崩溃预测模型。结果表明,除了在诸如行车道宽度等类似研究中识别的变量之外,其他统计上显着的变量,如纵向坡度和人行横道之间的距离对行人安全产生负面影响。街边停车位,单程街道,凸起的中位数的存在对安全贡献相反。

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