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36 <br /> with one resulting in a fatality.The crash that occurred after 11:00 PM was also a fatality. Generally, <br /> crashes tended to occur in the afternoon, with peak commuting hours accounting for higher numbers of <br /> .............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................. <br /> Time of the Crash <br /> 8,23.5% <br /> III <br /> 7 <br /> 6 14.7% IIII <br /> 11.8% <br /> 3,8.8% 3,8.8% <br /> 3 2,59% 2,5 2.9/ 1 L ,p, <br /> �.. �....,, �, I 1,.2.9 <br /> 2 1�0:9 2.9/ <br /> ° 2.9% <br /> 1,10 r 1„E,01111,1 pm 011 Oil RH yi 11 p ii0 i III l <br /> 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 <br /> .............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................. <br /> crashes.The crash data does not indicate a substantial difference in the day of the crash,though fewer <br /> crashes occurred on Saturday, possibly as a result of less automobile traffic on rural Orange County <br /> roads. <br /> Overall, this analysis indicates certain notable trends about motor vehicle-bicyclist crashes in rural areas <br /> of Orange County. More likely than not, bicycle crashes will result in some kind of injury, are the result <br /> of a motorist overtaking the cyclist, and occur away from intersections during daylight conditions. While <br /> intersection crash types are also notable for their frequency, crashes involving overtaking vehicles on <br /> ......................................................................................................................................................................................................................................................................................................................................................... <br /> roadways without special <br /> features constitute the most <br /> Driver Age common bicycle crash <br /> 8 23 5% during this time period. <br /> 8 <br /> 7 ......,...6, 17 6 ... ..M. .. 1�1 i Iv q'i 1,iii, a ll`lu i in lY�914 Iu 1111111 a I fall 4111I11Y� <br /> 6 5, 14.7% 5, 14.7% Information about bicycle <br /> 4 5.9% !. ....................................... 1.......................................................................... .........., crash involved drivers is also <br /> 2,5 9/ 2,5.9% 5.9% Ji,, a provided in the crash data <br /> ki‘ i 2l,. ,.�.� / 2 5 90 ��..� and is part of the NI <br /> 1 k,,111111 <br /> ��" information collected at the <br /> N. tiOlX 1�$) ,�05� �O�� ho<'� �O� ) fox �o�� scene of the crash by law <br /> J�, enforcement officials. <br /> Orange County <br /> Transportation Planning staff presents some of the key information about the drivers in this section. As <br /> eight (8) out of 34 crashes, or slightly more than 20 percent of crashes,were hit and run crashes, <br /> information about a subset of the drivers is not known.The information provided in this section will <br /> hopefully provide guidance to the Bicycle Safety Task Force in targeting education efforts to those <br /> groups most often involved in crashes with bicyclists between 2007 and 2013. <br /> Orange County Pedestrian and Bicycle Crash Analysis <br />