Wang Yan, Hasselberg Marie, Wu Zongzhi, Laflamme Lucie
Karolinska Institutet, Department of Public Health Sciences, Division of International Health, SE 171 77 Stockholm, Sweden.
Accid Anal Prev. 2008 Jan;40(1):334-40. doi: 10.1016/j.aap.2007.06.012. Epub 2007 Jul 31.
In many developing urban settings, economic growth and motorization are coupled with increasing rates of road traffic injuries (RTIs). By highlighting typical sites and circumstances at/in which car crashes occur, more specific targets for prevention can be identified. The study is based on police data for a 1-year period and covers the Chaoyang District, the biggest district of Beijing City. Focus is placed on crash patterns and their distribution by types of road and areas. Both fatal and non-fatal crashes are considered (n=754). In the main, the crashes occurred in relatively favorable driving circumstances (e.g., sunny weather, flat and straight roads, asphalted roads, and good traffic signals and road markings). They were also quite evenly distributed over time of day, day of week and season. Five crash patterns were highlighted, of which three were strongly associated with specific areas and four with specific types of road. The study supports the idea that type of road and RTI severity or pattern are closely related. It contributes to the development of context-relevant prevention measures aimed at reducing road crashes and minimizing their consequences and also supports safe planning of the road traffic environment.
在许多发展中的城市环境中,经济增长和机动车化与道路交通伤害(RTIs)发生率的上升相伴而生。通过突出汽车碰撞事故发生的典型地点和情况,可以确定更具体的预防目标。该研究基于一年期的警方数据,涵盖北京市最大的区——朝阳区。重点关注碰撞模式及其按道路类型和区域的分布情况。同时考虑了致命和非致命碰撞事故(n = 754)。总体而言,碰撞事故发生在相对良好的驾驶环境中(如晴天、平坦笔直的道路、柏油路以及良好的交通信号和道路标线)。它们在一天中的不同时间、一周中的不同日子以及不同季节的分布也相当均匀。突出了五种碰撞模式,其中三种与特定区域密切相关,四种与特定道路类型密切相关。该研究支持道路类型与道路交通伤害严重程度或模式密切相关这一观点。它有助于制定与实际情况相关的预防措施,旨在减少道路碰撞事故并将其后果降至最低,同时也支持道路交通环境的安全规划。