From the Departments of Surgery (D.R.S., N.E.G., R.S., S.R.T., O.S.B., S.J., C.T.W., G.M., P.-A.C., H.L.P., S.G.F.), Emergency Medicine (N.W., S.W., D.A.L.), and Pediatrics (D.A.L.), Bellevue Hospital Center, New York University School of Medicine; and Office of Research, Implementation and Safety (M.R.), NYC Department of Transportation, New York, New York.
J Trauma Acute Care Surg. 2014 Apr;76(4):1103-10. doi: 10.1097/TA.0000000000000176.
This study was designed to examine the characteristics of pedestrian and bicyclist collisions with motor vehicles within New York City's high-density hub. The primary objectives were to map crash locations and to identify hot spots within these injury clusters. The secondary objective was to quantify differences in injury severity based on road type and user behaviors.
Between December 2008 and June 2011, data were prospectively collected from pedestrians and bicyclists struck by motor vehicles and brought to Bellevue Hospital, a Level 1 trauma center in New York City. Behaviors by cohort (i.e., crossing patterns for pedestrians, riding patterns for bicyclists), Injury Severity Score (ISS), and collision locations were extracted from the database. Analyses of mean ISS were performed using a Student's t test with a p < 0.05 considered significant. Geomaps were created to identify clusters or "hot spots," where higher volumes of crashes occurred over time. Spatial analysis was performed to demonstrate whether these were random events.
A total of 1,457 patients (1,075 pedestrians and 382 bicyclists) were enrolled. Collision locations were known for 97.5%. Of the injured pedestrians, those crossing avenues (n = 277) had higher ISSs than those crossing streets (n = 522) (p = 0.01) and were more likely to die (p = 0.002). Pedestrians crossing midblock (n = 185) had higher mean ISSs than those crossing with the signal in the crosswalk (n = 320) (8.12 vs. 5.01, p < 0.001). Based on density mapping, hot spots of pedestrian collisions were detected in midtown Manhattan, while hot spots for bicyclists were detected at bridge and tunnel portals. Spatial analysis indicates that these are not random events (p < 0.05).
Pedestrians injured on avenues sustained more serious injuries than those injured on narrower streets. A better understanding of collision locations and features may allow for tailored injury prevention strategies. Trauma centers serve an important role in public health surveillance within their local communities.
Epidemiologic study, level III.
本研究旨在探讨纽约市高密度枢纽区行人与自行车与机动车碰撞的特征。主要目标是绘制事故地点,并确定这些伤害群集的热点区域。次要目标是根据道路类型和使用者行为量化伤害严重程度的差异。
2008 年 12 月至 2011 年 6 月,前瞻性收集行人与自行车被机动车撞击后送往纽约市一级创伤中心贝尔维尤医院的数据。从数据库中提取队列行为(即行人的穿越模式,自行车的骑行模式)、损伤严重度评分(ISS)和碰撞地点。使用学生 t 检验分析平均 ISS,p<0.05 被认为具有统计学意义。创建地理图以识别集群或“热点”,即随着时间的推移发生更高频率的事故的区域。进行空间分析以展示这些是否为随机事件。
共纳入 1457 名患者(1075 名行人,382 名自行车手)。已知 97.5%的事故地点。受伤行人中,在大道上穿越的(n=277)比在街道上穿越的(n=522)ISS 更高(p=0.01),更有可能死亡(p=0.002)。在中央街区穿越的行人(n=185)的平均 ISS 高于在信号穿越人行横道的行人(n=320)(8.12 比 5.01,p<0.001)。基于密度映射,在曼哈顿中城检测到行人碰撞的热点区域,而在桥梁和隧道入口处检测到自行车碰撞的热点区域。空间分析表明,这些不是随机事件(p<0.05)。
在大道上受伤的行人比在狭窄街道上受伤的行人受到更严重的伤害。更好地了解事故地点和特征可能会制定更有针对性的伤害预防策略。创伤中心在其当地社区的公共卫生监测中发挥着重要作用。
流行病学研究,三级。