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首页> 外文期刊>Safety >The Effect of Sharrows, Painted Bicycle Lanes and Physically Protected Paths on the Severity of Bicycle Injuries Caused by Motor Vehicles
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The Effect of Sharrows, Painted Bicycle Lanes and Physically Protected Paths on the Severity of Bicycle Injuries Caused by Motor Vehicles

机译:稻草人行道,涂漆的自行车道和人身保护路径对机动车造成的自行车伤害严重性的影响

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We conducted individual and ecologic analyses of prospectively collected data from 839 injured bicyclists who collided with motorized vehicles and presented to Bellevue Hospital, an urban Level-1 trauma center in New York City, from December 2008 to August 2014. Variables included demographics, scene information, rider behaviors, bicycle route availability, and whether the collision occurred before the road segment was converted to a bicycle route. We used negative binomial modeling to assess the risk of injury occurrence following bicycle path or lane implementation. We dichotomized U.S. National Trauma Data Bank Injury Severity Scores (ISS) into none/mild (0?¢????8) versus moderate, severe, or critical (>8) and used adjusted multivariable logistic regression to model the association of ISS with collision proximity to sharrows (i.e., bicycle lanes designated for sharing with cars), painted bicycle lanes, or physically protected paths. Negative binomial modeling of monthly counts, while adjusting for pedestrian activity, revealed that physically protected paths were associated with 23% fewer injuries. Painted bicycle lanes reduced injury risk by nearly 90% (IDR 0.09, 95% CI 0.02?¢????0.33). Holding all else equal, compared to no bicycle route, a bicycle injury nearby sharrows was nearly twice as likely to be moderate, severe, or critical (adjusted odds ratio 1.94; 95% confidence interval (CI) 0.91?¢????4.15). Painted bicycle lanes and physically protected paths were 1.52 (95% CI 0.85?¢????2.71) and 1.66 (95% CI 0.85?¢????3.22) times as likely to be associated with more than mild injury respectively.
机译:从2008年12月至2014年8月,我们对839名骑自行车与摩托车碰撞的受伤自行车手的预期数据进行了个体和生态分析,并提交给了纽约市1级创伤中心贝尔维尤医院。这些变量包括人口统计信息,场景信息,骑手的行为,自行车路线的可用性以及在将路段转换为自行车路线之前是否发生了碰撞。我们使用负二项式建模来评估自行车道或车道实施后发生伤害的风险。我们将美国国家创伤数据库的伤害严重度评分(ISS)分为零/轻度(0 ???????? 8)与中度,严重度或严重度(> 8),并使用调整后的多因素Logistic回归模型对ISS的关联进行建模碰撞靠近稻草(例如,指定用于与汽车共享的自行车道),涂漆的自行车道或受物理保护的路径。在对行人活动进行调整的同时,对月度计数的负二项式建模显示,受保护的路径减少了23%的伤害。涂有油漆的自行车道将伤害风险降低了近90%(IDR 0.09,95%CI0.02≤0.33)。与没有自行车道相比,在其他所有条件相同的情况下,靠近sarrows的自行车伤害是中度,严重或严重的可能性的两倍(调整后的优势比为1.94; 95%的置信区间(CI)为0.91)?4.15 )。涂有油漆的自行车道和人身保护路径分别是轻度伤害的1.52(95%CI 0.85 0.82.71)和1.66(95%CI 0.85 ¢ 3.22)倍。

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