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Page 63 <br /> <br /> <br />Attachment “B” (page 2 of 2) <br />Also consider: <br />o Has the intersection/segment been on previous year’s reports? <br />o Were any trends noted last time, did they continue? <br />o Have there been any recent changes/improvements to the location? <br />Trends: <br />In addition to the locations reports trend reports are run/created for the current year and then compared to previous <br />years for the following conditions: <br />o Primary Collision Factor and Collision Type <br />o Severity and Lighting Report <br />o Time of Day, Day of Week and Monthly Trend Report <br />o Citywide traffic volume trends are graphed/analyzed <br />o Total number of collisions <br />o Number of bicyclist collisions <br />o Number of pedestrian collisions <br />Overall trend questions/analysis <br />o Have locations been on previous year’s reports? <br />o Are collisions trending up/down? <br />o Have there been improvements/changes to explain current trends? <br />o How do volume changes and collision total trends compare? <br />Things to remember about data: <br />o Collisions in the database are on public streets only (no private street/parking lot collisions are entered <br />except for Ruby Hill) <br />o Only reported collisions are in database, there are many collisions that go unreported. <br />o Bicyclists and pedestrians are more vulnerable and when involved in a collision are more likely to be injured, <br />the numbers will reflect this. Collisions involving bicyclists/pedestrians are analyzed both with vehicle <br />collisions and separately when looking for patterns. <br />o Collisions involving electric scooters are marked as the bicycle vehicle type (they are traveling at speeds and <br />in locations more like a bicycle) <br />o Collisions involving people on skateboards and manual scooters are recorded as pedestrian collisions. <br />Due to the low number of bicycle/pedestrian collisions, and midblock collisions, it is necessary to look over a longer time <br />frame to have enough collisions to identify patterns.