Farm vehicle crashes on public roads: Analysis of farm-level factors

被引:2
|
作者
McFalls, Matthew [1 ]
Ramirez, Marizen [1 ]
Harland, Karisa [2 ]
Zhu, Motao [3 ]
Morris, Nichole L. [4 ]
Hamann, Cara [5 ]
Peek-Asa, Corinne [6 ]
机构
[1] Univ Minnesota, Sch Publ Hlth, Div Environm Hlth Sci, 420 Delaware St SE,Mayo Mail Code MMC 807, Minneapolis, MN 55455 USA
[2] Univ Iowa, Dept Emergency Med, Carver Coll Med, Iowa City, IA USA
[3] Nationwide Childrens Hosp, Abigail Wexner Res Inst, Ctr Injury Res & Policy, Columbus, OH USA
[4] Univ Minnesota, Rd Safety Inst, Minneapolis, MN 55455 USA
[5] Univ Iowa, Coll Publ Hlth, Dept Epidemiol, Iowa City, IA USA
[6] Univ Iowa, Dept Occupat & Environm Hlth, Iowa City, IA USA
来源
JOURNAL OF RURAL HEALTH | 2022年 / 38卷 / 03期
关键词
agricultural equipment; farm survey; farm vehicle crashes; rural road safety; traffic safety; EQUIPMENT; RATES;
D O I
10.1111/jrh.12621
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Purpose Rural public roads experience higher crash fatality rates than other roadways, with agricultural equipment adding greater risk of injury and fatality. This study set out to describe farmers' experiences with farm equipment crashes and predictors of crashes at the farm level. Methods A survey of farm operators was conducted in 9 Midwestern states (IL, IA, KS, MN, MO, NE, ND, SD, and WI) in collaboration with the US Department of Agriculture's National Agricultural Statistical Service. Findings From 1,282 farms operating equipment on public roads in 2013, 7.6% of farmers reported that equipment from their farm had ever been in a crash (n = 97). Crashes occurred most often in June-August (44.0%) and were most often reported as being during the daytime (71.3%), on dry roads (79.4%), or in clear weather (71.4%). While most farmers responded that they were driving the farm equipment at the time of the crash (52.0%), nearly half of crashes involved their employees as the driver (48.0%). Crashes often went unreported to law enforcement (28.6%). Conclusion To illustrate crash probabilities for farms with different profiles, we included farm acreage, crop farming, vehicle horsepower, annual miles driven, and the total number of farm vehicles driven on public roads in a predictive model. Large crop farms of 241+ acres, those who drove farm vehicles 1,430+ miles per year, and those with 20 or more farm vehicles had the highest probability of crash of 0.14.
引用
收藏
页码:537 / 545
页数:9
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