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Evaluation of Pedestrian Safety: Geographical Identification of Pedestrian Crash Hotsl pots and Evaluating Risk Factors for Injury Severity

机译:行人安全性评估:行人撞车Hotsl壶的地理标识和伤害严重程度的风险因素评估

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Pedestrian-involved crashes that occurred in the city of San Francisco over six years from 2002–2007were analyzed to evaluate two key aspects of pedestrian safety: occurrence and severity. This was done toidentify locations with frequent occurrences of pedestrian-involved crashes and to examine various riskfactors on the injury severity of pedestrian-involved crashes. A Geographical Information System (GIS)analysis used for the former shows that the frequency of pedestrian crashes is higher in the vicinity of thecentral business district, while the rate is higher in the periphery of the city. The latter specifies anordered probit model to evaluate risk factors that increase the probability of severe injury and fatality.Those factors were: i) age (<15 and 65+), alcohol consumption and cell-phone use among pedestriancharacteristics; ii) nighttime, weekends and rainy weather among environmental characteristics; and iii)influence of alcohol, larger vehicles (pickup, bus and truck) and vehicle proceeding straight in striking apedestrian among crash characteristics. The methods discussed in this paper are readily applicable toevaluation of safety performance in other regions where pedestrian crash data are available.
机译:从2002年到2007年,六年来在旧金山市发生的涉及行人的交通事故 进行分析以评估行人安全的两个关键方面:发生和严重性。这样做是为了 确定经常发生行人伤害事故的地点并检查各种风险 行人碰撞事故伤害严重程度的影响因素。地理信息系统(GIS) 前者的分析表明,在邻近地区,行人碰撞的频率更高 中央商务区,而在城市外围的比率较高。后者指定了 有序的概率模型来评估增加严重伤害和死亡的可能性的风险因素。 这些因素是:i)年龄(<15岁和65岁以上),行人中的酒精消耗和手机使用情况 特征; ii)环境特征中的夜间,周末和阴雨天气;和iii) 酒精,大型车辆(皮卡车,公共汽车和卡车)和车辆直行撞击的影响 行人之间的碰撞特征。本文讨论的方法很容易适用于 可获得行人交通事故数据的其他地区的安全绩效评估。

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