Austin Police Department. An Analysis of Traffic Fatalities 2015

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1 Austin Police Department An Analysis of Traffic Fatalities Prepared by the Austin Police Department Research and Planning Unit April

2 Table of Contents Background... Overview... Terminology... Notes about the Data... Sources... Notable findings... Traffic Fatality Overview... Fatalities by Type... Pedestrians... Incident Characteristics... Contributing Factors... Characteristics of the Person at Fault... Motorcycles... Incident Characteristics... Contributing Factors... 7 Characteristics of the Person at Fault... 9 Other General Characteristics... Motor Vehicles... Incident Characteristics... Contributing Factors... Characteristics of the Person at Fault... 7 Other General Characteristics... 9 Bicycles... Other General Characteristics... Map of Crashes... Traffic Fatalities Page

3 Background This analysis was prepared to identify the characteristics of fatal crashes as well as of those people identified as at fault helping to recognize patterns and factors leading to traffic fatalities. The primary audience for this report is the Austin Police Department, Austin Transportation Department, Vision Zero as well as other organizations working with fatality data. Overview In there were a total of 9 traffic fatality crashes involving fatalities. FATALITY TYPE # OF FATAL CRASHES # OF FATALITIES Pedestrian 9 Motorcycle Motor vehicle 7 Bicycle TOTAL 9 The report is organized into five sections: Fatality Overview Pedestrian Fatalities Motorcycle Fatalities Motor Vehicle Fatalities Bicycle Fatalities The Fatality Overview examines only the characteristics of the fatal crashes. When examining the fatalities by type (pedestrian, motorcycle, motor vehicle), we looked at both crash and person characteristics. The person characteristics are based on the person found to be at fault for the crash whether he/she lived or died. Therefore, the person in this report may not necessarily be the victim. Terminology Prior involvement Any contact with APD prior to the incident where the person had any role either in a General Offense report or Street Check in APD s Versadex Records Management System. Suspension Any suspension showing on the driver s license record. Conviction Any driving-related conviction showing on the driver s license record prior to the incident. Death of Offender (DOO) The person killed committed the violation which caused the crash. High-use Roadway Also commonly referred to as arterial streets. They include non-highway thoroughfares in Austin such as Lamar, Parmer, Congress, Manchaca, etc. Contributing Factor An action or condition which may have facilitated the crash. FTYROW Failure to yield right of way Traffic Fatalities Page

4 Notes about the Data This report includes only those crashes investigated by APD. The data is continuously being updated due to on-going investigations and represents information as of April, and may change. Due to the long processing times for toxicology testing, suspected impairment statistics are based on the initial assessment of the Detectives and the Medical Examiner. If the information provided is used outside the department, please note that the Austin Police Department cannot assume any liability for any decision(s) made or action taken or not taken by the recipient in reliance upon any information or data provided. Sources APD s Fatality Database; Computer-Aided Dispatch (CAD); City of Austin Population History; National Highway Traffic Safety Administration s Fatality Analysis Reporting System (FARS) Encyclopedia. Traffic Fatalities Page

5 Notable findings The majority (%) of fatal crashes occurred on a highway or high-use roadway. Over half of crashes (%) were between the hours of 9 PM and AM. Impairment was found in % of fatal crashes. Thirty-four percent (%) of the crashes involved a person without a valid driver s license. Over two-thirds of fatal crashes (%) were Death of Offender (DOO). Pedestrian Fatalities Eighty-three percent (%) of pedestrian crashes occurred on a highway or high-use roadway. The majority (%) occurred between PM and AM. Pedestrians crossing where prohibited accounted for % of crashes. Impairment was a contributing factor in % of crashes. The majority (%) of those at fault in these crashes had prior involvement with APD. Motorcycle Fatalities Nearly half (%) of motorcycle crashes occurred on high-use roadways. Sixty percent (%) of crashes involved impairment. Of those at fault, more than half (%) had either no driver s license or no motorcycle endorsement. Nearly three quarters (7%) of those killed were wearing a helmet. Motor Vehicle Fatalities The majority (%) of motor vehicle crashes occurred on a highway or high-use roadway. Just over half (%) occurred between midnight and AM. Seventy percent (7%) of crashes involved impairment. Over half (%) of motor vehicle crashes involved speeding. Thirty-six percent (%) of motor vehicle fatality crashes had criminal charges filed against the person at fault. Nearly half (%) of those at fault has at least one prior arrest with APD. One-third (%) of at fault drivers had either no driver s license or a suspended driver s license at the time of the crash. Traffic Fatalities Page

6 # of crashes Traffic Fatality Overview In there were traffic fatalities in Austin. The average number of fatalities per year for the previous ten years was. Austin s rate for was. traffic fatalities per, people. The most recent data available listing the United States rate is. from. Fatal Crashes by Year fatalities rate Year In, there were 9 fatal crashes involving fatalities. Fatal Crashes % % % % motor vehicle pedestrian motorcycle bike Traffic Fatalities Page

7 # of people Fatalities % % 9% % motor vehicle pedestrian motorcycle bike The person most often killed was either a motor vehicle (mv) driver or pedestrian (ped). Person Killed mv driver ped mv passengers motorcyclist bicyclist motorcycle passenger Traffic Fatalities Page

8 # of crashes The majority of crashes (%) occurred on high-use roadways or highways. Type of Roadway 9% % High-use roadway % % IH Other highway Local Street Most crashes (%) occurred in the overnight hours between 9 PM and AM ( and ). # of Crashes by Hour Hour Traffic Fatalities Page 7

9 Fatal crashes occurred relatively evenly across the days of week. Tuesday and Thursday had the fewest crashes. # of Crashes by Day Sun Mon Tue Wed Thu Fri Sat Nearly two-thirds of fatal crashes (%) involved impairment. Impairment not impaired/unk/ pending % impaired/ suspected % Traffic Fatalities Page

10 # of crashs Thirty-two fatal crashes (%) involved a driver with either a suspended or no license. DL Status 9 9 ok no DL no motorcycle license suspended DL unknown More than two-thirds (%) of the crashes involved Death of Offender (DOO). Twenty-six ( or %) involved criminal charges, including class C citations. Charges 7 9 Traffic Fatalities Page 9

11 # of crashs Fatalities by Type Pedestrians There were 9 fatal pedestrian crashes involving fatalities. Incident Characteristics The majority of pedestrian fatal crashes (%) occurred on either a highway or a high-use roadway. Two-thirds (%) occurred on roadways with a speed limit over MPH. Type of Roadway local street 7% IH- % high-use rdwy % other highway % Six (%) occurred in July and none occurred in August. By Month 7 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Traffic Fatalities Page

12 # of crashs The majority (%) of pedestrian crashes occurred between PM and AM when conditions were dark. Hour Range am-noon noon-pm pm-mid Mid-am Contributing Factors Eighty-three percent (%) of fatal crashes involved a pedestrian crossing when or where prohibited: % crossing a highway or service road % crossing mid-block or were in roadway % failed to yield right of way to vehicle (FTYROW) Two crashes involved a vehicle FTYROW to the pedestrian (7%) Factor FTYROW to ped 7% other % FTYROW to car % crossing/on HWY or SVRD % crossing midblock/in roadway % Traffic Fatalities Page

13 # of incidents A more detailed look at the crashes shows us the location of the pedestrian at the time of the crash. 7 Location of Pedestrian Nineteen pedestrian crashes (%) involved impairment or suspected impairment of either party. pending % Impairment none % impaired/ suspected impaired % Traffic Fatalities Page

14 # of people # of crashs Most pedestrian fatal crashes (7 or 9%) did not involve criminal charges. Twenty-five of those were Death of Offender (DOO). Charges DOO No Charge FTYROW to ped Characteristics of the Person at Fault Eighty-six percent (%) of those peopled determined to be at fault in pedestrian fatal crashes were over the age of. Age Range to > Traffic Fatalities Page

15 There were ten pedestrians (%) identified as transient and seven (%) considered emotionally disturbed (EDP). Transient Yes % No % EDP Yes % No 7% Traffic Fatalities Page

16 # of people The majority (%) of those at fault in pedestrian crashes had prior APD involvement. Prior Involvement No % Yes % Nineteen of those at fault (%) had been previously arrested at least once. # of Prior APD Arrests to times to times to > none Traffic Fatalities Page

17 # of crashs Motorcycles There were fatal crashes involving motorcycle fatalities. Incident Characteristics Nearly half (%) of motorcycle fatal crashes happened on high-use roadways. Type of Roadway local street 7% highway 7% high-use rdwy % Most of the motorcycle crashes occurred in the month of March. By Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Traffic Fatalities Page

18 # of crashs Nearly three quarters (7%) of motorcycle crashes occurred between PM and AM. Hour Range 7 am-noon noon-pm pm-mid Mid-am Contributing Factors Sixty percent of motorcycle crashes involved impairment or suspected impairment. Impairment none % impaired/ suspected % Traffic Fatalities Page 7

19 # of crashs Speed and FTYROW were found to be a contributing factor in 7% of motorcycle crashes. Factors other % speed % FTYROW to motorcycle 7% Most motorycle crashes (%) did not involve criminal charges. Eight crashes were considered Death of Offender (DOO). Charges DOO Class C Intox Manslaughter Traffic Fatalities Page

20 # of people Characteristics of the Person at Fault The age of those at fault in motorcycle fatal crashes was spread evenly across all ranges. Age Range to to to > Over two-thirds of those at fault in motorcycle crashes had prior APD involvement. Prior Involvement no % yes 7% Traffic Fatalities Page 9

21 # of people Seven of the fifteen people at fault (7%) had at least one prior arrest with APD. 9 7 # of Prior APD Arrests to > none More than half (%) of those at fault had either no driver s license or no motorcycle endorsement. Four of those at fault (7%) had been involved in at least one previous crash. DL Status no license % no MC license % okay 7% Traffic Fatalities Page

22 # of people Ten people (7%) had had previous convictions on their licenses or ID cards and five (%) had previous suspensions. DL History 7 suspensions convictions to to > Other General Characteristics Nearly three quarters of those killed (7%) were wearing a helmet. Traffic Fatalities Page

23 # of crashs Motor Vehicles There were 7 fatal motor vehicle crashes involving fatalities. Incident Characteristics The majority of motor vehicle fatal crashes occurred on either a highway or high-use roadway (%). Type of Roadway local street 7% highway % high-use % Twenty-eight percent of crashes occurred in January and July. By Month 7 7 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Traffic Fatalities Page

24 # of crashs # of crashs Most motor vehicle crashes occurred on Wednesday and Friday and the fewest occurred on Tuesday and Thursday. 9 7 By Day of Week sun mon tue wed thu fri sat Just over half ( or %) of motor vehicle fatal crashes occurred between midnight and AM. Hour Range am-noon noon-pm pm-mid mid-am Traffic Fatalities Page

25 # of people Contributing Factors The largest portion of motor vehicle crashes involved impairment or suspected impairment (7%). Impairment unknown % pending % none % impaired/susp impaired 7% Seven people (%) who were impaired at the time of the fatal crash had at least one previous DWI. Previous DWIs none previous DWI previous DWIs unknown Traffic Fatalities Page

26 # of people Speeding was involved in just over half ( or%) of motor vehicle fatal crashes. unknown 9% Speeding no % yes/suspected % Thirteen (%) of the crashes involving speed comprised drivers who had at least one previous speeding conviction. Previous Speeding Convictions conviction convictions convictions convictions convictions Traffic Fatalities Page

27 # of collisoins Impairment was the most common contributing factor found in motor vehicle fatality crashes. 9 Factors 7 7 More than half (%) of motor vehicle crashes involved Death of Offender (DOO). Thirty-six percent (7 or %) involved criminal charges. Charges Traffic Fatalities Page

28 # of poeple Characteristics of the Person at Fault Forty-three percent (%) were between the ages of and. Age Range under to to to > Nearly three quarters of those at fault (7%) had prior involvement with APD. Prior Involvement No % Yes 7%. Traffic Fatalities Page 7

29 # of poeple Twenty-one of those at fault in motor vehicle crashes (%) had at least one prior arrest. Prior APD Arrests 7 to times > times none Thirty-four percent of those at fault had either no driver s license or a suspended driver s license at the time of the crash. DL Status no DL % suspended % okay % Traffic Fatalities Page

30 # of people Sixteen at fault people (%) had a previous suspension and eight (7%) had active suspensions on either their DL or ID card at the time of the crash. DL Suspension History previous suspensions active suspensions to to > Other General Characteristics Seatbelts were worn in 9% of incidents Traffic Fatalities Page 9

31 Bicycles There were fatal bicycle crashes involving fatalities. One bicyclist was impaired. No charges were filed in either case. One incident was Death of Offender (DOO). One incident occurred on a local street, the other on a high-use roadway. Type of Roadway high-use rdwy % local street % Other General Characteristics Neither location had bike lanes. Both victims were wearing helmets. Traffic Fatalities Page

32 Map of Crashes Traffic Fatalities Page

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