CRASH DATA Crash data with the greatest proximal significance to walking and biking to the Glyndon-Felton Elementary School was gathered using the online Minnesota Crash Mapping Analysis Tool (MCMAT) (http://www.dot.state.mn.us/stateaid/crashmapping.html). MCMAT is MnDOT’s crash database that includes all crashes involving a motor vehicle where a crash report was filed. It includes only crash reports from the past ten years. However, a crash involving a solo cyclist, the most common type of bicycle crash, would not be recorded even if emergency services responded as long as the crash did not involve a motor rd
vehicle. The MCMAT data for Glyndon was accessed, June 3 2016. As of that date, the dataset included st
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crash reports from January 1 2005 through June 1 2015, all of which were included in this analysis. According to the MCMAT homepage, the lag time between crash occurrence and data entry into the MCMAT database can last approximately 2-3 months and the data is updated four times per year (approximately quarterly). th
The staff at WCI felt that collecting crash data within a 1.25 mile radius from a point on 5 Street roughly 300 feet east of the school building would provide the most utility. This is the approximate center of Glyndon, as well as a being very proximal to the school. From this center point, a 1.25mile radius includes all lands within Glyndon city limits and all residences that are within the Glyndon-Felton Elementary School walk / bike zone. A circle formed by 1.25 mile radius from the above-mentioned center point returns 127 crash reports from the MCMAT dataset. Of the 127, 67 can be seen on the map (see Figure 20). It is not known why 60 crash sites are not shown on the MCMAT generated map. However, it is likely that many of these sites are obscured by other crash dots on the map. Of these 127 crashes there was one fatality which did involve a pedestrian (crash summary below). There were two crashes with incapacitating injuries, three with nonincapacitating injuries, 25 with possible injuries, and 96 crashes involving property damage (see Figure 21). Of the “Crash Types,” 53 of those crashes involved a collision with another motor vehicle in transport, three with a parked motor vehicle, one with a bicycle (resulted in an incapacitating injury presumably to the cyclist - crash summary below), one with a pedestrian, 14 with a deer, 2 with another animal, one as a underride rear collision, two are classified as other, 15 with a fixed object, 33 where a vehicle overturned and one is classified as a collision of an “other” type (see Figure 22). 98 of the 127 crashes happened on U.S. Highway 10. On average, there are 12 crashes in the selected area per year but only 3 per year off of U.S. Highway 10. However, there does seem to be an increase in crashes in the study area from 2005 to 2014 (see st
Figure 23 - 2015 numbers are only through June 1 and likely still missing much of the crash data from those first six months). There was also a significant peak of 17 crashes in the 15:00 hour (3PM to 4PM)) which corresponds with the 3:10PM dismissal time at the school. There was also a second peak of 10 crashes in the Chapter 7: Existing Conditions and Findings | P a g e 63
