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墨西哥华雷斯城行人伤害碰撞的空间环境风险因素(2008-2009 年):对城市规划的启示。

Spatial environmental risk factors for pedestrian injury collisions in Ciudad Juárez, Mexico (2008-2009): implications for urban planning.

机构信息

El Colegio de la Frontera Norte, Environmental and Urban Studies, Av. Insurgentes No. 3708, Fracc. Los Nogales, Ciudad Juarez, 32350, Mexico.

出版信息

Int J Inj Contr Saf Promot. 2013;20(2):169-78. doi: 10.1080/17457300.2012.724690.

DOI:10.1080/17457300.2012.724690
PMID:23701477
Abstract

The aim of this study is to examine the spatial distribution of pedestrian injury collisions and analyse the environmental (social and physical) risk factors in Ciudad Juarez, Mexico. More specifically, this study investigates the influence of land use, density, traffic and socio-economic characteristics. This cross sectional study is based on pedestrian injury collision data that were collected by the Municipal Transit Police during 2008-2009. This research presents an analysis of vehicle-pedestrian collisions and their spatial risk determinants using mixed methods that included (1) spatial/geographical information systems (GIS) analysis of pedestrian collision data and (2) ordinary least squares (OLS) regression analysis to explain the density of pedestrian collisions data. In our model, we found a higher probability for pedestrian collisions in census tracts with population and employment density, large concentration of commercial/retail land uses and older people (65 and more). Interventions to alleviate this situation including transportation planning such as decentralisation of municipal transport system, investment in road infrastructure - density of traffic lights, pedestrian crossing, road design, improves lane demarcation. Besides, land use planning interventions should be implemented in commercial/retail areas, in particular separating pedestrian and vehicular spaces.

摘要

本研究旨在探讨行人伤害碰撞的空间分布,并分析墨西哥华雷斯市的环境(社会和物理)风险因素。更具体地说,本研究调查了土地利用、密度、交通和社会经济特征的影响。本横断面研究基于 2008-2009 年市交通警察收集的行人伤害碰撞数据。这项研究使用混合方法分析了车辆-行人碰撞及其空间风险决定因素,包括(1)行人碰撞数据的空间/地理信息系统(GIS)分析,以及(2)普通最小二乘(OLS)回归分析,以解释行人碰撞密度数据。在我们的模型中,我们发现人口和就业密度较大、商业/零售用地集中、老年人(65 岁及以上)较多的普查区发生行人碰撞的概率更高。缓解这种情况的干预措施包括交通规划,如分散市交通系统,投资于道路基础设施-交通灯密度、人行横道、道路设计、改善车道划分。此外,应在商业/零售区实施土地利用规划干预措施,特别是要分隔行人和车辆空间。

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