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The role of built environment on pedestrian crash frequency

机译:建筑环境对行人碰撞频率的影响

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This study investigates (i) the link of land use and road design on pedestrian safety and (ii) the effect of the level of spatial aggregation on the frequency of pedestrian accidents. For this purpose, pedestrian accident frequency models were developed for New York City based on an extensive dataset collected from different sources over a period of 5 years. The assembled dataset provides a rich source of variables (land-use, demographics, transit supply, road network and travel characteristics) and two different crash frequency outcomes: total and fatal-only collision counts. Among other things, it was observed that the census tract analysis (disaggregate data) provides more insightful and consistent results than the analysis at the zip code level. The results indicate that tracts with greater fraction of industrial, commercial, and open land use types have greater likelihood for crashes while tracts with a greater fraction of residential land use have significantly lower likelihood of pedestrian crashes. Moreover, census tracts that have a greater number of schools and transit stops - which are determinants of pedestrian activity - are more likely to have greater crashes. Results also show that the likelihood of pedestrian-vehicle collision increases with the number of lanes and road width. This suggests that retrofitting or narrowing the roads could possibly reduce the risk of pedestrian crashes.
机译:本研究调查(i)土地使用和道路设计与行人安全之间的联系,以及(ii)空间聚集水平对行人事故发生频率的影响。为此,根据在5年内从不同来源收集的大量数据集,为纽约市开发了行人事故频率模型。组合后的数据集提供了丰富的变量源(土地使用,人口统计,公交供应,道路网络和行驶特性)以及两种不同的碰撞频率结果:总碰撞次数和致命碰撞次数。除其他事项外,据观察,与在邮政编码级别进行的分析相比,人口普查分析(分类数据)提供了更深入和一致的结果。结果表明,工业,商业和开放土地使用类型所占比例较大的区域发生碰撞的可能性更大,而住宅土地使用类型所占比例较大的区域具有行人碰撞的可能性大大降低。此外,人口众多的学校和公交站点(行人活动的决定因素)的人口普查区发生车祸的可能性更大。结果还表明,行人与车辆碰撞的可能性随车道数量和道路宽度的增加而增加。这表明改造或收窄道路可能会减少行人撞车的风险。

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