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Proactive approaches to audit pedestrian safety locations, a model for developing countries

机译:主动采取措施审核行人安全地点,这是发展中国家的典范

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This paper presents a pedestrian safety hotspot analysis to identify and prioritize specific road segments and intersections with high crash locations using Geographic Information System (GIS) which can be applied in sub-Saharan countries. The approach can well be applied in developing countries which are coupled with high traffic accident rates and injury severities. The identification process uses GIS environment through Getis-Ord Gi-star hotspot analysis tool. The goal is to examine the existence of a spatial pattern for pedestrian crashes associated with roadway geometry, socioeconomic, population distribution and other related factors. This methodology ranks high crash locations based on: crash frequency; weighted crash frequency by injury severities (EPDO); crash rates calculated per vehicle miles of travel (VMT), total population, and mean household income within a defined boundaries. The identified high crash locations and the rankings enable agencies to properly invest and prioritize funds to improve safety. It assists in identifying suitable locations for safety audits.
机译:本文介绍了一种行人安全热点分析,使用地理信息系统(GIS)来识别特定的路段和具有高车祸位置的交叉路口并对其进行优先排序,该信息系统可以在撒哈拉以南国家使用。这种方法可以很好地应用在交通事故率高和伤害严重程度高的发展中国家。识别过程通过Getis-Ord Gi-star热点分析工具使用GIS环境。目标是检查与道路几何形状,社会经济,人口分布和其他相关因素相关的行人碰撞的空间模式的存在。该方法根据以下因素对高碰撞位置进行排名:通过伤害严重度(EPDO)得出的加权碰撞频率;在定义的范围内,每车行驶里程(VMT),总人口和平均家庭收入计算出的碰撞率。确定的高空难点位置和排名使各机构能够适当地投资并优先考虑资金以提高安全性。它有助于确定合适的位置进行安全审核。

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