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Correlates of fatality risk of vulnerable road users in Delhi

机译:与德里弱势道路使用者的死亡风险相关

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HighlightsFirst such study for an Indian city and one of the few in low-and-middle income countries.Flyovers result in a substantial increase in the fatality risk of vulnerable road users.Roundabouts result in higher safety in line with previous evidence.Higher population density is associated with higher safety.AbstractPedestrians, cyclists, and users of motorised two-wheelers account for more than 85% of all the road fatality victims in Delhi. The three categories are often referred to as vulnerable road users (VRUs). Using Bayesian hierarchical approach with a Poisson-lognormal regression model, we present spatial analysis of road fatalities of VRUs with wards as areal units. The model accounts for spatially uncorrelated as well as correlated error. The explanatory variables include demographic factors, traffic characteristics, as well as built environment features. We found that fatality risk has a negative association with socio-economic status (literacy rate), population density, and number of roundabouts, and has a positive association with percentage of population as workers, number of bus stops, number of flyovers (grade separators), and vehicle kilometers travelled. The negative effect of roundabouts, though statistically insignificant, is in accordance with their speed calming effects for which they have been used to replace signalised junctions in various parts of the world. Fatality risk is 80% higher at the density of 50 persons per hectare (pph) than at overall city-wide density of 250 pph. The presence of a flyover increases the relative risk by 15% compared to no flyover. Future studies should investigate the causal mechanism through which denser neighborhoods become safer. Given the risk posed by flyovers, their use as congestion mitigation measure should be discontinued within urban areas.
机译: 突出显示 首次针对印度城市进行此类研究,这是中低收入国家中为数不多的研究之一。 立交桥导致死亡风险大幅增加 环岛会导致更高的安全性,与先前的证据一致。 人口密度较高与更高的安全性相关。 摘要 在德里,行人,骑自行车的人和机动两轮车的使用者占所有道路死亡人数的85%以上。这三类通常称为弱势道路使用者(VRU)。使用带泊松对数正态回归模型的贝叶斯分层方法,我们以病房为面积单位,对VRU的道路死亡情况进行了空间分析。该模型说明了空间上不相关以及相关的误差。解释变量包括人口统计学因素,交通特征以及建筑环境特征。我们发现,死亡风险与社会经济地位(识字率),人口密度和环形交叉路口数量成负相关,与工人的百分比,公交车站数,立交桥数量(等级分隔符)成正相关。 ),车辆行驶了公里。回旋处的负面影响虽然在统计上微不足道,但与它们的速度平缓效应相符,因此它们已被用来代替世界各地的信号交叉口。每公顷50人(pph)的密度下的致死风险比全市范围的250pph的密度高。与没有天桥相比,天桥的存在使相对风险增加了15%。未来的研究应该调查因果机制,使密集社区变得更安全。考虑到天桥带来的风险,应在市区范围内停止使用天桥作为缓解拥堵的措施。

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