University of Iowa, College of Public Health, Department of Occupational and Environmental Health, Injury Prevention Research Center, Iowa City, IA, USA; University of Iowa, Department of Emergency Medicine, Iowa City, IA, USA.
University of Iowa, College of Public Health, Department of Occupational and Environmental Health, Injury Prevention Research Center, Iowa City, IA, USA.
Accid Anal Prev. 2014 Sep;70:8-13. doi: 10.1016/j.aap.2014.02.013. Epub 2014 Mar 28.
Although approximately one-third of agricultural equipment-related crashes occur near town, these crashes are thought to be a rural problem. This analysis examines differences between agricultural equipment-related crashes by their urban-rural distribution and distance from a town.
Agricultural equipment crashes were collected from nine Midwest Departments of Transportation (2005-2008). Crash zip code was assigned as urban or rural (large, small and isolated) using Rural-Urban Commuting Areas. Crash proximity to a town was estimated with ArcGIS. Multivariable logistic regression was used to estimate the odds of crashing in an urban versus rural zip codes and across rural gradients. ANOVA analysis estimated mean distance (miles) from a crash site to a town.
Over four years, 4444 crashes involved agricultural equipment. About 30% of crashes occurred in urban zip codes. Urban crashes were more likely to be non-collisions (aOR=1.69[1.24-2.30]), involve ≥2 vehicles (2 vehicles: aOR=1.58[1.14-2.20], 3+ vehicles: aOR=1.68[0.98-2.88]), occur in a town (aOR=2.06[1.73-2.45]) and within one mile of a town (aOR=1.65[1.40-1.95]) than rural crashes. The proportion of crashes within a town differed significantly across rural gradients (P<0.0001). Small rural crashes, compared to isolated rural crashes, were 1.98 (95%CI[1.28-3.06]) times more likely to be non-collisions. The distance from the crash to town differed significantly by the urban-rural distribution (P<0.0001).
Crashes with agricultural equipment are unexpectedly common in urban areas and near towns and cities. Education among all roadway users, increased visibility of agricultural equipment and the development of complete rural roads are needed to increase road safety and prevent agricultural equipment-related crashes.
尽管大约三分之一的农业设备相关事故发生在城镇附近,但这些事故被认为是农村问题。本分析通过城乡分布和距离城镇的远近,研究了农业设备相关事故之间的差异。
农业设备事故是从美国中西部的九个交通部门收集的(2005-2008 年)。使用城乡通勤区将事故邮政编码分配为城市或农村(大、小和孤立)。使用 ArcGIS 估算事故与城镇的接近程度。多变量逻辑回归用于估计在城市与农村邮政编码以及农村梯度之间发生碰撞的几率。方差分析估计了从事故地点到城镇的平均距离(英里)。
在四年中,有 4444 起事故涉及农业设备。约 30%的事故发生在城市邮政编码中。城市事故更有可能是非碰撞事故(aOR=1.69[1.24-2.30]),涉及≥2 辆车(2 辆车:aOR=1.58[1.14-2.20],3+辆车:aOR=1.68[0.98-2.88]),发生在城镇(aOR=2.06[1.73-2.45])和距离城镇一英里内(aOR=1.65[1.40-1.95])比农村事故更频繁。在农村梯度上,城镇内事故的比例差异显著(P<0.0001)。与孤立的农村事故相比,小型农村事故更有可能是非碰撞事故,几率为 1.98(95%CI[1.28-3.06])。事故与城镇的距离因城乡分布而异(P<0.0001)。
农业设备相关事故在城市地区和城镇附近出乎意料地常见。需要对所有道路使用者进行教育,增加农业设备的可见度,并开发完整的农村道路,以提高道路安全,防止农业设备相关事故。