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Cases were defined as road segments that had at least one farm equipment crash.
As such, this study allows for a robust evaluation of roadway characteristics that increase the risk of a farm equipment crash.
The outcome, road segments where a farm equipment crash occurred, was defined as a public Iowa roadway where a vehicular crash involving at least one piece of farm equipment occurred.
To address this limitation, we analyzed farm equipment crash risks at the road-segment level and used Geographic Information Systems (GIS) to identify spatial attributes of road segments with and without crashes.
Road segments with traffic volume of 361 1250 or 1251 or more vehicles per day had 7.43 (95% CI: 5.90 9.34) or 7.00 (95% CI: 5.38 8.85) times the odds of having a farm equipment crash compared to road segments with traffic volume of 30 or less vehicles per day, respectively (Table 2).
Similar(55)
We compared characteristics of road segments where farm equipment crashes occurred to road segments where there were no farm equipment crashes.
This study aims to compare characteristics of road segments with farm equipment crashes to road segments without farm equipment crashes in the state of Iowa.
Road type was also a significant contributor to farm equipment crashes.
As traffic volume increased, the proportion of farm equipment crashes also increased.
Increased roadway exposure has led to a growing concern on the occurrence of farm equipment crashes.
This is the first retrospective cohort study of farm equipment crashes using road segments as the unit of analysis.
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