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33 <br /> serious injury (disabling and evident injuries). Considering that 20 crashes occurred in areas with a speed <br /> limit of 40—45 miles per hour and 11 crashes occurred in areas with a speed limit of 50—55 miles per <br /> hour, these severities are not surprising. Only three (3) crashes occurred in an area with a speed limit of <br /> 30—35 miles per hour.These severities highlight the fact that crashes in rural areas are likely to be more <br /> severe, based on the higher automobile speeds and limited space on rural roads to accommodate joint <br /> bicycle and automobile traffic. It is also important to note that crashes that do not result in injuries or <br /> "close shaves" are often not reported.This may account for the low number of"No Injury" crashes. <br /> In terms of bicyclist race and sex, 85 percent of bicyclists involved in a crash are white and 79 percent <br /> are male. Only three cyclists involved in a crash were black and one was categorized as "other",while 21 <br /> percent of crash-involved cyclists are female.Without good information about the demographics of <br /> ................................................................................................................................................................................................................................................................................................................................ <br /> bicyclists riding in rural Orange <br /> County, it is hard to state <br /> Bicyclist by Race definitively that one group of <br /> people is more likely to be <br /> 100.0% <br /> ,,,,,,,,, 29(85 3%)........................................................................................................................................................................ involved in a crash than any <br /> other. However, this <br /> 80.0 <br /> information generally reflects <br /> 60.0 <br /> ' 111111111111 the demographics of bicyclists <br /> on Orange County rural roads <br /> 40.0% based on anecdotal evidence <br /> 3(8.8%) 2(5.9%) <br /> 20.0% and likely does support the <br /> r 011 ' , ` conclusion that white male <br /> White Black Other cyclists tend to be involved in a <br /> crash to a larger degree than <br /> Bicyclist by Sex female bicyclists or people of <br /> other races. <br /> „ ��t � �h1�9���71n� 4 <br /> Perhaps the most important <br /> Ua s e m <br /> pP , <br /> 80.0% portant <br /> um <br /> 70.0% �•-- information included as part of <br /> 60.0% the bicycle and pedestrian crash <br /> 50.0% data is the crash group/crash <br /> 40.u70 7 (20 6%) ......... ......... <br /> type.This information provides <br /> 30.0% a clearer picture of how the <br /> NEE % 1.11.11111 <br /> !IIN11\ 11.11.111 crash occurred and is helpful in <br /> 10.0% .... ............................................... <br /> determining which, if any, <br /> Male Female infrastructure or behavior issues <br /> are creatin g unsafe conditions <br /> for motorists or bicyclists. For those bicycle crashes occurring in Orange County, the "Motorist <br /> Overtaking Bicyclist" crash group is, perhaps unsurprisingly, the most prevalent, accounting for more <br /> Orange County Pedestrian and Bicycle Crash Analysis <br />