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交通伤害数据、政策与公共卫生:来自波士顿唐人街的经验教训

Traffic injury data, policy, and public health: lessons from Boston Chinatown.

作者信息

Brugge Doug, Lai Zenobia, Hill Christina, Rand William

机构信息

Department of Family Medicine and Community Health, Tufts University School of Medicine, Boston, Massachusetts 02111, USA.

出版信息

J Urban Health. 2002 Mar;79(1):87-103. doi: 10.1093/jurban/79.1.87.

Abstract

We note that long-standing land use and transportation policy are critical factors in creating traffic conditions and will have to play a role in reducing injuries. We present the historical progression of events that created current traffic conditions in Boston Chinatown and an analysis of traffic-related injuries at the community level for the years 1996-1998. Injuries were found to be as likely on weekends as on weekdays and frequently occurred late at night. Nighttime occupant injuries were found to be more likely on Friday, Saturday, and Sunday nights (relative risk = 2.26; confidence interval = 1.35-3.78, P =.0014). Injuries varied significantly by location for occupant (P = <.001) and for pedestrian injuries (P =.039). There were no peaks of injuries at traditionally defined commuter hours, which have been the standard time for assessing "worst case" traffic impacts by developers and government agencies. There was, however, a strong association between injuries and vehicle volume at 9 intersections with simple configurations for AM and PM commuter hours (R(2) = 0.589, P =.010), resulting in a calculated increase of 3-5 injuries per year for each increase of 1,000 vehicles. There was no such association at 10 intersections with complex configurations (R(2) = 0.104, P =.397). The 24-hour weekend patterns of vehicle volumes showed that traffic abated only between 3 and 7 AM, and the patterns appeared qualitatively to mirror the 24-hour pattern of injuries, suggesting that they were also indicative of injury risk. We suggest that there is a need for both long-term changes in policy and more immediate interventions. We also conclude that researchers should be cautious about assuming that traffic patterns conform to naive expectations such as rush hour peaks.

摘要

我们注意到,长期的土地利用和交通政策是造成交通状况的关键因素,并且在减少伤害方面必须发挥作用。我们呈现了造就波士顿唐人街当前交通状况的一系列事件的历史进程,以及对1996 - 1998年社区层面与交通相关伤害的分析。研究发现,周末受伤的可能性与工作日相同,且经常发生在深夜。夜间乘客受伤在周五、周六和周日晚上更为常见(相对风险 = 2.26;置信区间 = 1.35 - 3.78,P = 0.0014)。乘客受伤的地点差异显著(P = <0.001),行人受伤情况也存在地点差异(P = 0.039)。在传统定义的通勤时间并没有伤害高峰,而传统通勤时间一直是开发商和政府机构评估“最坏情况”交通影响的标准时间。然而,在9个早高峰和晚高峰时段配置简单的十字路口,伤害与车辆流量之间存在很强的关联(R² = 0.589,P = 0.010),即每增加1000辆车,每年预计会增加3 - 5起伤害事件。在10个配置复杂的十字路口则不存在这种关联(R² = 0.104,P = 0.397)。周末24小时的车辆流量模式显示,交通仅在凌晨3点至7点之间有所缓解,并且这种模式在性质上似乎反映了24小时的伤害模式,这表明它们也预示着伤害风险。我们建议,既需要长期的政策变革,也需要更即时的干预措施。我们还得出结论,研究人员在假设交通模式符合诸如高峰时段等简单预期时应谨慎。

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