首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Qualitative Field Observation of Pedestrian Injury Hotspots: A Mixed-Methods Approach for Developing Built- and Socioeconomic-Environmental Risk Signatures
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Qualitative Field Observation of Pedestrian Injury Hotspots: A Mixed-Methods Approach for Developing Built- and Socioeconomic-Environmental Risk Signatures

机译:行人伤害热点的定性现场观察:建立建筑环境和社会经济环境风险特征的混合方法

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摘要

Road traffic injuries constitute a significant global health burden; the World Health Organization estimates that they result in 1.35 million deaths annually. While most pedestrian injury studies rely predominantly on statistical modelling, this paper argues for a mixed-methods approach combining spatial analysis, environmental scans, and local knowledge for assessing environmental risk factors. Using data from the Nova Scotia Trauma Registry, severe pedestrian injury cases and ten corresponding hotspots were mapped across the Halifax Regional Municipality. Using qualitative observation, quantitative environmental scans, and a socioeconomic deprivation index, we assessed hotspots over three years to identify key social- and built-environmental correlates. Injuries occurred in a range of settings; however, clear patterns were not observed based on land use, age, or socio-economic status (SES) alone. Three hotspots revealed an association between elevated pedestrian injury and a pattern of geographic, environmental, and socio-economic factors: low- to middle-SES housing separated from a roadside attraction by several lanes of traffic, and blind hills/bends. An additional generalized scenario was constructed representing common risk factors across all hotspots. This study is unique in that it moves beyond individual measures (e.g., statistical, environmental scans, or geographic information systems (GIS) mapping) to combine all three methods toward identifying environmental features associated with pedestrian motor vehicle crashes (PMVC).
机译:道路交通伤害构成了巨大的全球健康负担;世界卫生组织估计,它们每年导致135万人死亡。尽管大多数行人伤害研究主要依赖于统计模型,但本文主张将空间分析,环境扫描和本地知识相结合的混合方法,以评估环境风险因素。利用来自新斯科舍省创伤登记处的数据,在哈利法克斯地区市政当局绘制了严重的行人伤害案件和十个相应的热点地区的地图。通过定性观察,定量环境扫描和社会经济剥夺指数,我们评估了三年来的热点,以识别关键的社会和建筑环境相关因素。在一系列设置中发生了伤害;但是,仅基于土地使用,年龄或社会经济地位(SES)并未观察到清晰的模式。三个热点揭示了行人受伤加剧与地理,环境和社会经济因素的格局之间的联系:SES的中低端住房与路边吸引力所分隔开的多条车道,以及盲目的山丘/弯道。构建了另一种通用场景,该场景代表了所有热点的常见风险因素。这项研究的独特之处在于,它超越了单独的措施(例如统计,环境扫描或地理信息系统(GIS)映射),将所有这三种方法结合起来可以识别与行人机动车碰撞(PMVC)相关的环境特征。

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