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2006-2018 年科罗拉多州交叉口严重行人碰撞比例的影响因素。

Factors affecting severe pedestrian crash percentages at intersections in Colorado 2006-2018.

机构信息

Department of Civil Engineering, University of Colorado Denver, Denver, Colorado, USA.

出版信息

Int J Inj Contr Saf Promot. 2023 Jun;30(2):255-261. doi: 10.1080/17457300.2022.2147273. Epub 2022 Nov 20.

Abstract

This article investigates factors associated with fatal and severe injury pedestrian crash percentages at intersections in Colorado. Many published studies associate road and traveler characteristics with the frequency or severity of pedestrian crashes without reference to specific locations. The objective of this study is to determine whether road and traveler characteristics, aggregated by intersection, partly explain differences in severe crash percentages at intersections. From 2006 to 2018, there were a total of 17,047 reported crashes involving pedestrians and motor vehicles in all of Colorado. This study analyzes 3,015 of these crashes that had the GPS coordinates needed to identify their locations at intersections and included the information needed to identify the pedestrian outcomes of the crash. The results of logistic and linear regressions found that lighting condition, vehicle speed, turning movement of vehicle, vehicle type, pedestrian age, and driver or pedestrian impairment by drugs or alcohol were most associated with severe crash percentages at intersections. These findings identify crash characteristics at intersections with higher severe crash proportions that can potentially be addressed to improve safety.

摘要

本文调查了科罗拉多州交叉口行人碰撞致死和重伤百分比相关的因素。许多已发表的研究将道路和出行者特征与行人碰撞的频率或严重程度联系起来,但没有参考特定的地点。本研究的目的是确定道路和出行者特征是否部分解释了交叉口严重碰撞百分比的差异,这些特征是通过交叉口聚合的。在 2006 年至 2018 年间,科罗拉多州共发生了 17047 起涉及行人和机动车的报告事故。本研究分析了其中 3015 起事故,这些事故具有在交叉口识别其位置所需的 GPS 坐标,并包括识别事故中行人结果所需的信息。逻辑回归和线性回归的结果发现,照明条件、车辆速度、车辆转弯运动、车辆类型、行人年龄以及司机或行人因药物或酒精而受损,与交叉口严重碰撞百分比的关系最为密切。这些发现确定了具有更高严重碰撞比例的交叉口的碰撞特征,这些特征可能需要加以解决以提高安全性。

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