Seattle Department of Transportation 2018 TRAFFIC REPORT · 2018-12-04 · 2018 TRAFFIC REPORT | 5...

Seattle Department of Transportation

2018 TRAFFIC REPORT

*2017 data

CONTENTS

5 Executive Summary

7 Traffic Volumes and Speeds 8 Motor Vehicle Volumes 11 Traffic Flow Map 13 Bicycle Volumes 18 Pedestrian Volumes 21 Motor Vehicle Speeds

23 Traffic Collisions 24 Citywide Collision Rate 25 Fatal and Serious Injury Collisions 27 Pedestrian Collision Rate 30 Bicycle Collision Rate

33 Supporting Data 33 Volume Data 44 Speed Data 48 Historical Collision Data 50 2016 All Collisions 54 2016 Pedestrian Collisions 63 2016 Bicycle Collisions 75 Glossary

2018 TRAFFIC REPORT | 5

EXECUTIVE SUMMARY

This report presents an end of year review of the core data sets the Seattle Department of Transportation (SDOT) collects and maintains including volumes, speeds, and collisions. The use of this data, guided by department plans and policies, serves as the foundation for making informed decisions on nearly all work at SDOT from safety improvements to repaving to grant applications. It is fundamental to measuring project performance. The breadth and depth of the data collected allows objective discussion of project merits and results, be it a new crosswalk or an entire safety corridor. As the demands and complexity of Seattle’s transportation network grow, the information supporting decisions about that network continues to expand and now includes significant data on pedestrians, bicycles, and trucks.

This report is prepared in compliance with Seattle Municipal Code 11.16.220, which requires the City Traffic Engineer to present an annual traffic report that includes information about traffic trends and traffic collisions on City of Seattle streets. Beyond this legal requirement, the report strives to serve as an accessible reference of Seattle traffic data and trends for all.

In gathering and compiling the information in this report, the Seattle Department of Transportation does not waive the limitations on this information’s discoverability or admissibility under 23 U.S.C § 409.

For additional information about traffic data and collisions on Seattle streets, readers may contact the City Traffic Engineer Dongho Chang at [email protected] or visit the SDOT webpage at www.seattle.gov/transportation/.

Linea Laird, Interim DirectorSeattle Department of Transportation

Dongho Chang, P.E., City Traffic EngineerSeattle Department of Transportation

6 | SEATTLE DEPARTMENT OF TRANSPORTATION


TRAFFIC VOLUMES AND SPEEDS

The Seattle Department of Transportation (SDOT) collects and maintains volume data for vehicles (including trucks), pedestrians, and bicycles. Engineers and planners use volume data to select future project locations, support grant applications, and track the performance of traffic projects once they are installed.

SDOT collects vehicle speed data in addition to volume data. Speed data is particularly useful for making traffic safety decisions such as those connected with traffic calming, Safe Routes to School, Seattle’s Vision Zero Plan and crossing improvements.

Speed data can also be reprocessed into vehicle classification data that categorizes vehicles in up to 13 different groups, including motorcycles, cars, and numerous types of trucks. Such data gives planners and engineers a better understanding of the movement of goods within the city.

Traffic volumes, speeds, and reported collisions are the three cardinal pieces of data traffic engineers and planners use to evaluate changes to Seattle streets.


MOTOR VEHICLE VOLUMESSDOT is responsible for counting the volume of traffic on certain city arterial streets each year. Traffic counts are taken throughout the year at 20 control count locations, 164 screen line locations and 111 additional locations.

At 20 locations, SDOT conducts control counts every month. These counts are used to create a monthly control factor. This factor can be applied to every count we take to adjust for seasonal changes in traffic. In addition, SDOT measures vehicle volume at 164 screen line locations. These locations are identified in Seattle’s Comprehensive Plan, and the counts are used to determine screen line levels of service as required by the plan. We also measure

vehicle volume at 111 additional locations each year. The locations of control, screen line, and other regular counts are shown on maps in the appendix. SDOT also measures volume at ad hoc locations throughout the year as needed for traffic analysis and engineering studies.

Using the annual counts taken at 19 of Seattle’s bridges (including I-90, SR 520, and 1st Ave S), SDOT derives a proxy number for citywide motor vehicle average daily traffic (ADT). Traffic volumes decreased by 1.8% from 2016 to 2017. The following graph of Seattle’s ADT shows overall trend since 2006. Population, employment, and transit ridership trends are also shown in graphs, along with commute mode share for context.

AVERAGE DAILY TRAFFIC IN SEATTLE

1,001,095

2006

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017

1,100,000

1,050,000

1,000,000

950,000

900,000

850,000


SEATTLE POPULATION

500,000

550,000

600,000

650,000

700,000

750,000

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

713,700

TRANSIT RIDERSHIP

170,580,780

100,000,000

110,000,000

120,000,000

130,000,000

140,000,000

150,000,000

160,000,000

170,000,000

180,000,000

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017


AVERAGE ANNUAL EMPLOYMENT - SEATTLE, TACOMA, BELLEVUE

1,985,968

1,500,000

1,600,000

1,700,000

1,800,000

1,900,000

2,000,000

2,100,000

2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

2017 SEATTLE COMMUTE MODE SHARE*

Drove Alone

Carpool

Transit

Walked

Biked

Other

*2017 American Community Survey

1%

51%

9%

25%

11%3%


TRAFFIC FLOW MAPThe 2017 Traffic Flow Map is one of the products of the volume counts program. The volumes on the map represent the Average Annual Weekday Traffic (AAWDT) (5-days, 24-hour) for that section of roadway. A full-size version of this map is available on SDOT’s website at: www.seattle.gov/transportation/document-library/reports-and-studies

In 2017 the top ten arterials for traffic volume include four streets that were not on the list in 2016: Aurora Bridge, Mercer St east of Boren Ave N, N 130th St east of Ashworth Ave N, Lake City Way NE south of NE 95th St, Fremont Bridge and Aurora Ave N north of N 68th St. The West Seattle Bridge east of the Delridge ramps continues to be the busiest city street, as measured by SDOT.

Top 10 Arterials by Volume Average Week Day Traffic (AWDT)West Seattle Bridge (EB&WB), west of Alaska Way Viaduct 100,642East Marginal Way S, south of S Alaska St 70,352Montlake Bridge 66,361Aurora Bridge 61,998Mercer St, east of Boren Ave N 60,926Ballard Bridge 59,123N 130th St, east of Ashworth Ave N 42,968Lake City Way NE, south of NE 95th St 42,194Fremont Bridge, north of Point A 41,716Aurora Ave N, north of N 68th St 40,714


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© 2017 THE CITY OF SEATTLE. All rights reserved. Produced by the Seattle Department of Transportation. No warranties of any sort, including accuracy, fitness or merchantability, accompany this product.

Coordinate System: State Plane, NAD83-91Washington, North ZonePLOT DATE: 6/14/2018AUTHOR: C KwanH:\My Documents\2) ArcGIS\2018_05\TrafficFlowMap 2017.mpk


BICYCLE VOLUMES2017 Census data indicate 2.8% of Seattle residents are using bicycles as their primary commute mode, down from 3.5% in 2016. Bicycle ridership is influenced by weather and the historic wet weather that lasted through April may have influenced ridership. Seattle residents may utilize bicycle on a portion of their commute trip as more travel options are readily available. Seattle’s bike share survey revealed that 33% of people are regularly using bike share to connect to public transit while 75% indicated that they have at some point used bike share to access transit.

In 2017, SDOT collected bicycle volume data with three different programs: automated permanent bicycle counters at 10 locations, 83 multiday short counts, and regular spot counts at 50 intersections.

Automated Bicycle CountersIn October 2012, the Fremont bridge totem was installed to count bikes crossing the bridge on both walkways of the bridge. These counts show both hourly and daily patterns for bike volume and allow the effects of weather and other factors to be evaluated. The total bike volume for 2017 was just under a million at 963,135 which represents a 2% reduction in bike volume from 2016. 2017 experienced 108 days of rain and 11 days of snow in the first six months of the year, which may have affected ridership.

FREMONT BRIDGE BIKE COUNTS

20132014201520162017

Jan Feb Mar Apr May June Jul Aug Sept Oct Nov Dec0

20,000

40,000

60,000

80,000

100,000

120,000

140,000


Fremont Bridge Totem 2017 Bike CountsTotal 963,135Peak Day Tue, 23 May, 2017 (5,478)Minimum Day Mon, 25 Dec, 2017 (48)Max Day of the Week WednesdayHourly Average 110Daily Average 2,639Average Workday Traffic

3,138

Average Weekend Traffic

1,403

Weekly Average 18,471Monthly Average 80,316

2017 marks the fifth continuous year of full counts from ten permanent bike counters that were installed at the end of 2013 on multi-use trails and neighborhood greenways. These counters capture bike volume by direction; additionally, three locations capture pedestrian volume. These counts give a better illustration of daily bike ridership throughout the city.

Permanent counters that have reliable data for current and past year will be used to track bicycle ridership trends. A map with all the permanent bike counter locations can be found in the appendices as well as the overall numbers from each counter. Eight continuous counters were used to create day of year factors for 2017. The short counts were then factored up into yearly bike volume estimates based on these factors. Using daily factors provides for the estimates to be within 15% of the actual values when we have at least six days of data (as per NCHRP report 797).

6 of the 8 continuous counters combined to have less than a dozen missing days of data. Missing days were replaced by taking the average of the three same days before and after the missing day, as recommended by NCHRP report 797. For example, if a Monday is missing the three Mondays before and after that day are averaged and used to replace the missing data. The Broadway Cycle Track and 39th Ave Greenway both had too much missing data to average over the issue so the data was replaced with a regression equation that used the day of year, Fremont bridge counts, and Spokane St bridge counts to estimate the replacement data.


Site 2016 Annual Count 2017 Annual Count26th Ave SW Greenway at SW Oregon St Total 29,469 34,4192nd Avenue Display 247,708 236,762BGT North of NE 70th St 405,393 374,871Broadway Cycle Track 114,399 106,515Elliott Bay Trl in Myrtle Edwards Park 411,192 396,574Fremont Bridge Totem 982,470 963,135MTS Trl West of I-90 Bridge 231,177 234,122Spokane St. Bridge Total 297,474 275,536

Multiday Short CountsIn 2017 we conducted 83 machine short counts in different parts of the city in addition to the spot counts. These counts are a better indication of bike ridership since they capture at least one week of data instead of the 2-hour window of the spot counts. Some of these counts support the Bicycle Master Plan’s ridership performance measure and will be counted on annual basis.

Using data from our permanent counters we created daily volume factors that allowed us to extrapolate our short counts into annual volume estimates for each short count location (as per NCHRP report 797). This data, along with that from our permanent counters, is mapped on the next page as annual average daily bicycle volume. Because of the high seasonal variation in bike volumes, the daily summer volume is often three times the annual average daily volume. Similarly, the daily volume in the winter is lower.


2017 AVERAGE DAILY BIKE VOLUMES

Annual Average DailyBike Volume

Trails for Bikes

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Spot Bike CountsIn 2011 SDOT began a systematic bicycle counts program that uses National Bicycle and Pedestrian Documentation (NBPD) methodology to count bicycles and pedestrians at 50 locations citywide multiple times a year. In 2017 these counts were conducted in January, May, and September. Each month counts are collected for PM peak (5-7 PM), off peak (10 AM-noon), and Saturday (noon-2 PM) time periods at each location. In 2014 we removed the July counts since the days these were conducted landed on the week of July 4th. We observed that these counts don’t correctly show true ridership numbers.

In 2017, the quarterly citywide program counted 22,001 cyclists for the months of January, May and September. The overall number of cyclists counted increased by 4,808 at these valid count locations. We also conduct short counts in different locations and have permanent counters. These counts provide a better assessment on daily ridership due to longer periods of counts. From the NBPD count analysis Fremont Ave N and N 34th St showed the most overall ridership with 2,917 total riders.

AutumnSpringWinter

0

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4,000

6,000

8,000

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8,388

9,560

4,063

2011 2012 2013 2014 2015 2016 2017


PEDESTRIAN VOLUMESBeginning in 2011, SDOT began collecting quarterly citywide counts using the National Bike and Pedestrian Documentation(NBPD) methodology. Pedestrian volume is also being recorded at the newly installed permanent multi-use trail counter locations. The map if these locations can be found in the appendices.

NBPD PEDESTRIAN COUNT ANNUAL TREND

AutumnSpringWinter 105,517

109,481

93,681

50,000

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2011 2012 2013 2014 2015 2016 2017

Quarterly Citywide Pedestrian CountsIn 2011, SDOT started using the National Bicycle and Pedestrian Documentation project methodology for counting bicycles and pedestrians. These spot counts provide consistent, annual pedestrian volumes that we can track over time. Each count is conducted at an intersection and records the number of pedestrians crossing each leg of the intersection. Since these counts are collected in conjunction with the quarterly bicycle counts, they share the January, May, and September count dates as well as the PM Peak (5-7pm), off peak (10am-noon) and Saturday (noon-2pm) time periods.


The ongoing program expands SDOT’s pedestrian data beyond the city center; it also provides insight into seasonal and daily pedestrian patterns. A chart of the trends in this data is presented. In general, volumes have consistently increased for each season year over year.

The total number of pedestrians counted in 2017 by the program was 308,679. The busiest pedestrian location counted in 2017 was again Broadway and East Olive Street with 28,899 total pedestrians counted, this location also had the most pedestrians counted previous years. The following map shows the total pedestrian volumes for each location counted in 2017. Details of the 2017 counts by location are available on the web at http://data.seattle.gov.


AVERAGE VOLUMES FOR 2017 PEDESTRIAN COUNTS

Average Pedestrian Volume2017 NBPD Counts

Symbols Proportional to VolumeRepresentative Scale Below

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MOTOR VEHICLE SPEEDSStarting in 2010, SDOT began collecting speed data at consistent locations each year, in addition to the ad-hoc locations that serve site-specific traffic evaluation needs. SDOT also collects vehicle speeds for purposes of traffic safety investigations, prospective project selection and design, and for evaluation of completed projects. Engineers gauge speed several different ways, including the 85th percentile speed of traffic and high-end speeder percentage. The 85th percentile measure is the most commonly used and represents the speed at or below which 85

percent of traffic travels. The high-end speeder percentage is the percentage of drivers who exceed the posted speed limit by 10 miles per hour or more.

Aurora Ave N, Stone Way N, Fauntleroy Avenue SW, 24th Avenue NW, and Rainier Avenue S are all specified in the Pedestrian Master Plan as locations to report on trends in the 85th percentile speed of traffic. The 2017 results for these locations are listed in the table below. For more results of the speed studies program, see the Supporting Data section.

Location Direction85th Percentile

SpeedHigh End Speeder

Percentage Speed LimitAurora Ave N, S/O N 112th St SB 42.1 5.1% 35Aurora Ave N, S/O N 112th St NB 41.9 4.9% 35Stone Way N, S/O N 45th St SB 25.2 0.0% 30Stone Way N, S/O N 45th St NB 23.3 0.0% 3024th Ave NW, S/O NW 80th St NB 31.4 0.5% 3025th Ave NW, S/O NW 80th St SEB 30.8 0.4% 30Rainier Ave S, SE/O S Warsaw St NWB 38.9 11.0% 30Rainier Ave S, SE/O S Warsaw St SE 36.9 6.2% 30Fauntleroy Way SW, S/O SW Hudson St

SB 23.0 0.0% 30

Fauntleroy Way SW, S/O SW Hudson St

NB 22.6 0.0% 30


TRAFFIC COLLISIONS

While most collisions result from human error or inattention, collision data can be used to help gauge the effectiveness of engineering and enforcement efforts. Collision data helps identify locations that may benefit from additional engineering treatments or enhanced enforcement efforts.

There were 10,959 police reported collisions on Seattle streets in 2017. In addition, there were 1,516 self-reported collisions, which are not included in our analysis due to reliability and completeness factors. The number of Seattle collisions increased slightly since 2013 and remains near historically low levels. The trend for all types of reports is listed on the Supporting Data section.

POLICE REPORTED COLLISIONS ON SEATTLE STREETS

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10,959

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

There were 10,959 collisions in 2017 on Seattle streets reported by police.


CITYWIDE COLLISION RATEThe collision rate decreased by 1.8% from 2016 to 2017.

The rate that SDOT uses is the number of police reported collisions per Average Annual Daily Trips (AADT). The AADT used is a citywide approximation of arterial traffic volumes and

in this case, it has been adjusted to exclude volumes on I-5, I-90 and SR-520 because our collision data do not include collisions on these roadways. The 16th Ave S Bridge counts have been included into the ADT. The count for 2014 has been added to the years 2011, 2012 and 2013 since the counts were not done that year due to closure for construction.

Year Police Reported

Collisions Average Daily

Traffic AADTCitywide Collision

Rate2006 15,625 555,997 202,938,905 77.0 2007 14,971 523,342 191,019,830 78.4 2008 14,037 531,930 194,154,450 72.3 2009 12,101 525,758 191,901,732 63.1 2010 11,288 541,170 197,527,114 57.1 2011 11,240 529,988 193,445,620 58.1 2012 10,614 524,732 191,527,180 55.4 2013 10,310 528,174 192,783,510 53.5 2014 10,815 549,655 200,624,075 53.9 2015 10,930 539,600 196,954,000 55.5 2016 11,603 539,106 196,773,690 59.0 2017 10,959 518,187 189,138,255 57.9

CITYWIDE COLLISION RATE

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FATAL AND SERIOUS INJURY COLLISIONSThis chart below shows the trend of fatal and serious injury collisions on Seattle streets since 2006. The City of Seattle is committed to Vision Zero - our goal of ending traffic deaths and serious injuries on city streets by 2030. In 2017 there were a total of 187 fatal and serious injury collisions.

In 2017, there were 19 fatalities on Seattle streets. These numbers do not include incidents on limited access State Highways and Interstates, but do include incidents on the Alaskan Way Viaduct. Details of each fatality and tables of historical trends can be found in the appendices.

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 20172016

Fatal

FATAL/SERIOUS INJURY COLLISION TREND

Serious Injury

TotalPedestrian

CyclistMotorcycle

Linear (Total)

TRAFFIC FATALITIES ON SEATTLE STREETS

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PEDESTRIAN COLLISION RATE The 2009 Pedestrian Master Plan defined a decreasing trend in the rate of collisions involving pedestrians as a safety goal. SDOT continues to measure its pedestrian collision rate as the number of pedestrian collision divided by the population of the City of Seattle.

The pedestrian collisions per 100,000 inhabitants decreased by 3.8% from 2016 to 2017. The total number of pedestrian serious injury and fatality collisions increased by 11.6% from 66 in 2016 to 73 in 2017.

PEDESTRIAN-INVOLVED COLLISION RATE PER 100,000 RESIDENTS

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

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Serious Injury CollisionsFatal CollisionsLinear (Serious Injury Collisions)

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BICYCLE COLLISION RATEThe chart below shows the bicycle collision rate as a factor of the number of bicycle commuters as reported by the U.S. Census Bureau’s Amercian Community Survey (ACS). Currently, the

ACS number is the best proxy SDOT has for the total number of cycling trips in the City of Seattle. The bicycle collision rate shows a decreasing trend since 2006 when Seattle’s Bicycle Master Plan was implemented.

Year Bicycle

CollisionsSeattle

PopulationBicycle

Commuters (ACS)Bicycle-Involved

Collisions Per CapitaBike Collision

Rate2005 293 573,296 6,963 0.00051108 422006 365 580,485 7,330 0.000628785 502007 356 589,304 7,336 0.000604102 492008 365 598,541 9,953 0.000609816 372009 383 602,000 10,593 0.000636213 362010 364 610,383 12,306 0.000596347 302011 362 622,354 11,986 0.000581663 302012 387 635,521 15,007 0.000608949 262013 421 653,713 12,983 0.000644014 322014 380 669,112 14,185 0.000567917 272015 483 684,451 16,251 0.000705675 302016 439 704,352 14,801 0.000623268 302017 402 713,700 11,976 0.000563262 34

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BICYCLE COLLISION RATE PER 1,000 COMMUTERS


BICYCLE COLLISION RATE PER BICYCLE 1000 COMMUTERS2017 rate will be updated when ACS data is available

SERIOUS AND FATAL COLLISIONS FOR BICYCLESSerious InjuryFatal Collisions

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COLLISIONS INVOLVING PEOPLE BIKING


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N

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S

2017 BICYCLE COLLISIONS ON SEATTLE STREETS

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Bicycle Collisions N


SUPPORTING DATA

VOLUME DATAThese locations are counted every month. The resulting counts (except the West Seattle Bridge) are added together and divided by 12 to determine a monthly control factor. This factor can then be applied to counts to correct for seasonal variation.

Control Count Locations1. Denny Way, w/o 2nd Ave2. E Madison St, sw/o 17th Ave3. East Green Lake Way N, ne/o N 57th St4. Fremont Br, s/o Point A5. N 85th St, w/o Ashworth Ave N6. Queen Anne Ave N, s/o Crockett St7. University Br, sw/o Point A8. Lake City Way NE, ne/o NE 95th St9. M L King Jr. Way S, n/o S Andover St10. NW Market St, w/o 8th Ave NW11. Rainier Ave S, s/o S Othello St12. S Lander St, w/o 6th Ave S13. Alki Ave SW, w/o Harbor Ave SW14. 3rd AVE se/o Union ST15. Alaskan Way se/o Blanchard16. Stewart St, ne/o 4th Ave17. University St, sw/o 4th Ave18. East Marginal Way S, s/o S Alaska St19. West Seattle Bridge, ne/o Fauntleroy20. SW Spokane Bridge, w/o SW Spokane St

2017 Bridge Count Locations1. Aurora Bridge 2. Ballard Bridge 3. Fremont Bridge 4. Montlake Bridge5. Spokane Street Corridor (Duwamish West Waterway)6. West Seattle Bridge (High-rise)7. SW Spokane Bridge (Swing)8. University Bridge9. 1 Ave S Bridge10. 16th Ave S Bridge (closed – not counted in 2013)11. 1-90 Bridge12. SR520 Bridge13. I-5 Bridge

YearAverage Daily Traffic

in Seattle2007 1,006,7822008 1,017,9302009 999,4652010 1,010,8702011 1,005,6162012 976,6252013 986,1742014 1,009,7642015 972,1122016 1,019,2952017 1,001,095


2017 Monthly Expansion Factor JAN FEB MAR APR MAY JUN

Count 458,227 480,726 472,441 434,313 470,974 486,489Factor 1.017 0.97 0.987 1.073 0.99 0.958

JUL AUG SEP OCT NOV DECCount 481,437 458,150 479,272 446,534 457,192 468,648Factor 0.968 1.018 0.973 1.044 1.02 0.995

2017 Top Arterial Traffic CountsLocation AAWDT Scaled

West Seattle Bridge (EB&WB), west of Alaska Way Viaduct 100,642East Marginal Way S, south of S Alaska St 70,352Montlake Bridge 66,361Aurora Bridge 61,998Mercer St, east of Boren Ave N 60,926Ballard Bridge 59,123N 130th St, east of Ashworth Ave N 42,968Lake City Way NE, south of NE 95th St 42,194Fremont Bridge, north of Point A 41,716Aurora Ave N, north of N 68th St 40,714Elliott Ave W, southeast of W Mercer Pl 44,500Lake City Way NE, s/o NE 145th St 42,9001st Ave S, n/o S Royal Brougham Way 40,600NE 45th St, w/o NE 45th Pl 40,000Denny Way, w/o 2nd Ave 39,100Mercer St, e/o Taylor Ave N 38,000Aurora Ave N, n/o N 115th St 37,000


Year Seattle Population2006 580,4852007 589,3042008 598,5412009 602,0002010 610,3832011 622,3542012 635,5212013 653,7132014 669,1122015 684,4512016 704,3522017 713,700

Year Seattle/Tacoma/Bellevue Employment2006 1,702,0772007 1,744,9232008 1,768,1952009 1,724,5622010 1,710,7692011 1,722,1782012 1,765,4262013 1,796,3172014 1,836,1442015 1,874,4672016 1,935,2052017 1,985,968

Annual Transit Ridership

YearMetro

RidershipAccess

BoardingsTaxi

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Boardings ST Boardings Total Transit

Ridership 2006 103,242,414 1,128,496 40,474 129,460 12,256,022 116,796,866 2007 110,600,190 1,118,400 35,320 141,368 13,764,711 125,659,989 2008 118,824,795 1,121,776 34,046 155,456 16,128,142 136,264,215 2009 111,717,152 1,119,927 34,320 211,417 18,810,635 131,893,451 2010 109,583,654 1,229,039 32,502 250,369 22,802,673 133,898,237 2011 112,766,328 1,221,392 32,352 303,428 25,079,792 139,403,292 2012 115,410,304 1,164,935 31,228 312,795 28029,348 144,948,610 2013 118,629,373 1,158,467 31,271 316,723 30,379,713 150,515,547 2014 120,950,922 1,079,309 27,490 342,989 32,996,287 155,396,997 2015 121,849,972 980,086 24,059 362,461 34,860,000 158,069,5782016 121,547,394 961,478 20,156 347,550 42,738,763 165,615,341 2017 122,233,133 958,439 17,162 340,265 47,031,781 170,580,780

*Community Access Transit


SDOT BIKE AND PEDESTRIAN SPOT COUNT LOCATIONS

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SDOT SCREENLINE TRAFFIC VOLUME COUNT LOCATIONS

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SDOT FLOW MAP TRAFFIC VOLUME COUNT LOCATIONS


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Permanent Bike Counters Bike with Display

Bike and Pedestrian

Bike

P"

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Linden Ave Nsouth of N 135th St

Burke Gilman Trail north of NE 70th St

39th AveNE south of NE 62nd St

Elliott Bay Trail in Myrtle Edwards Park

Chief Sealth Trail north of S Thistle St

MTS Trail (I-90) at Lakeside Ave S

26th Ave SW south of SW Oregon St - Delridge Greenway

2nd Ave PBLsouth of Madison

S Spokane StBridge

Broadway PBL between Pike St and Union St

NW 58th Steast of 22nd Ave NW

FremontBridge


Fremont Bridge TotalMonth 2012 2013 2014 2015 2016 2017

January n/a 44,884 59,873 60,630 51,733 49,805February n/a 50,027 47,025 58,659 60,381 42,001March n/a 66,089 63,494 71,144 69,804 58,747April n/a 71,998 86,855 83,697 93,639 68,413May n/a 108,574 118,644 107,775 114,159 109,089June n/a 99,280 110,907 113,717 107,617 107,801July n/a 117,974 120,669 112,780 105,683 118,904August n/a 104,549 112,490 103,351 112,380 120,188September n/a 80,729 97,558 91,140 94,157 96,498October n/a 81,352 83,184 83,003 69,883 88,143November 50647 59,270 56,990 56,668 64,097 57,684December 36369 43,553 48,507 43,992 38,937 45,862

2017 Machine Bicycle Counts

Location Count TypeCalculated Annual Average

Bike VolumeFremont Bridge Totem Continuous Counter 2,640Westlake East Rdwy Ave N s/o Newton St Short Duration Count 1,470BGT North of NE 70th St Continuous Counter 1,420Burke Gilman Trl e/o 9th Ave NW Continuous Counter 1,280Elliot Bay Trl in Myrtle Edwards Park Continuous Counter 1,090Montlake Bridge (north approach of Br) Short Duration Count 1,040MTS I-90 Trail Continuous Counter 790Spokane St Bridge Continuous Counter 7502nd Ave Cycle Track Continuous Counter 650Eastlake Ave E ne/o Fuhrman Ave E Short Duration Count 620Gilman Ave W n/o W Bertona St Short Duration Count 430Dexter Ave N n/o Denny Short Duration Count 420Mercer St w/o Aurora Ave N Short Duration Count 410Lake Washington Blvd S n/o S Horton St Short Duration Count 390Roosevelt Way NE s/o NE 45th St Short Duration Count 350Greenlake Way N s/o N 54th St Short Duration Count 300Broadway Cycle Track Continuous Counter 290NE 40th St e/o Brooklyn Ave NE Short Duration Count 270Fremont Ave N n/o N 86th St Short Duration Count 230Haiwatha Pl se/o Charles St Short Duration Count 200




Bike Volume14th Ave W n/o W Nickerson St Short Duration Count 20017th Ave NW s/o NW 53rd St Short Duration Count 180Pike St w/o Terry Ave Short Duration Count 18039th Ave NE s/o NE 55th St Short Duration Count 17039th Ave Greenway at 62nd St Continuous Counter 150W Boston St e/o 1st Ave W Short Duration Count 15017th Ave NW n/o NW 57th St Short Duration Count 130Greenwood Ave N s/o N 85th St Short Duration Count 12017th Ave NW s/o NW 65th St Short Duration Count 120NW 58 St Greenway at 22nd Ave NW Continuous Counter 12039th Ave NE s/o NE 68th St Short Duration Count 11039th Ave NE s/o NE 73rd St Short Duration Count 100Duwamish River Trl nw/o S Holden St Short Duration Count 10012th Ave NE s/o NE 50th St Short Duration Count 90NW Dock Pl sw/o Leary Ave NW Short Duration Count 8039th Ave NE s/o NE 80th St Short Duration Count 8026th Ave SW at Oregon St Continuous Counter 80NW Dock Pl sw/o Russell Ave NW Short Duration Count 8012th Ave NE n/o NE 50th St Short Duration Count 8022nd Ave SW n/o SW Andover St Short Duration Count 70Fauntleroy Way SW sw/o California Ave SW Short Duration Count 7021st Ave SW s/o SW Genesee St Short Duration Count 70N 44th St w/o Corliss Ave N Short Duration Count 60E Republican St w/o 16th Ave E Short Duration Count 60NW 83rd St w/o 8th Ave NW Short Duration Count 6021st Ave SW s/o 22nd Ave SW Short Duration Count 6025th Ave S n/o S Grand St Short Duration Count 6017th Ave NW n/o NW 75th St Short Duration Count 6022nd Ave n/o E Union St Short Duration Count 501st Ave NW n/o NW 78th St Short Duration Count 50NE 130th St e/o 20th Ave Ne Short Duration Count 501st Ave NW n/o NW 82nd St Short Duration Count 5038th Ave NE s/o NE 88th St Short Duration Count 5025th Ave S s/o S Jackson St Short Duration Count 5017th Ave NW n/o NW 80th St Short Duration Count 40




Bike Volume25th Ave S n/o S Jackson St Short Duration Count 40Burke Ave N n/o N 43rd St Short Duration Count 4020th Ave NE n/o NE 130th St Short Duration Count 4022nd Ave n/o E Columbia St Short Duration Count 4025th Ave n/o E Yesler Way Short Duration Count 40N 43rd St w/o Wallingford Ave N Short Duration Count 4025th Ave s/o E Cherry St Short Duration Count 4026th Ave S n/o S Judkins W St Short Duration Count 4021st Ave SW n/o SW Myrtle St Short Duration Count 40E Pine St e/o 21st Ave Short Duration Count 4025th Ave n/o E Cherry St Short Duration Count 3022nd Ave E n/o E Lynn St Short Duration Count 3027th Ave NE n/o NE 130th St Short Duration Count 30E Columbia St e/o 24th Ave Short Duration Count 30NE 44th St w/o Latona Ave N Short Duration Count 3021st Ave SW s/o SW Dakota St Short Duration Count 3017th Ave SW n/o SW Henderson St Short Duration Count 20E Galer St w/o 20th Ave E Short Duration Count 20Interlaken Pl E nw/o E Galer St Short Duration Count 2038th Ave NE s/o NE 85th St Short Duration Count 2015th Ave SW n/o SW Holden St Short Duration Count 2020th Ave E s/o E Galer St Short Duration Count 20NE 89th St w/o 38th Ave NE Short Duration Count 2021st Ave E n/o E Aloha St Short Duration Count 20Sodo Trail n/o S Forest St Short Duration Count 2021st Ave E s/o E Republican St Short Duration Count 2017th Ave SW n/o SW Cambridge St Short Duration Count 1021st Ave E s/o E Aloha St Short Duration Count 10Renton Ave S se/o S Bennett St Short Duration Count 1045th Ave SW n/o SW Dakota St Short Duration Count 10E Pine St e/o 25th Ave Short Duration Count 10NE 125th St e/o 12th Ave NE (EB) Short Duration Count 1018th Ave SW n/o SW Webster St Short Duration Count 10Ashworth Ave N s/o N 97th St Short Duration Count 10SW Trenton St w/o 13th Ave SW Short Duration Count 10




Bike Volume24th Ave S n/o S Hill St Short Duration Count 1015th Ave SW n/o SW Kenyon St Short Duration Count 417th Ave SW s/o SW Thistle St Short Duration Count 4


SPEED DATA

Location DirectionSpeed Limit

85th Percentile

speed

High End Speeder

Percentage12th Ave, n/o E Yesler Way N 25 28.0 1.0%12th Ave, n/o E Yesler Way S 25 22.5 0.3%14th Ave S, n/o S Director St S 30 35.7 3.7%14th Ave S, n/o S Director St N 30 35.0 2.9%15th Ave NE, s/o NE 65th St S 30 33.0 0.9%15th Ave NE, s/o NE 65th St N 30 30.8 0.4%15th Ave S, s/o S Bradford St S 30 38.4 9.2%15th Ave S, s/o S Bradford St N 30 35.9 3.6%1st Ave S, s/o S Spokane Sr St S 35 42.7 7.5%1st Ave S, s/o S Spokane Sr St N 35 38.7 2.3%20th Ave W, s/o W Dravus St S 30 36.3 3.1%20th Ave W, s/o W Dravus St N 30 35.1 1.8%23rd Ave S, s/o S Jackson St N 30 34.6 2.7%23rd Ave S, s/o S Jackson St S 30 33.7 1.5%24th Ave NW, s/o NW 80th St N 30 31.4 0.5%24th Ave NW, s/o NW 80th St S 30 30.8 0.4%25th Ave NE, s/o NE 75th St S 30 32.7 0.5%25th Ave NE, s/o NE 75th St N 30 30.3 0.3%35th Ave NE, n/o NE 75th St S 30 33.7 1.2%35th Ave NE, n/o NE 75th St N 30 32.2 0.4%35th Ave SW, s/o SW Alaska St N 35 36.5 1.0%35th Ave SW, s/o SW Alaska St S 35 34.0 0.4%4th Ave S, n/o S Michigan St S 35 37.8 1.0%4th Ave S, n/o S Michigan St N 35 35.3 0.6%4th Ave S, s/o Seattle Blvd S N 25 36.5 20.7%4th Ave S, s/o Seattle Blvd S S 25 36.4 22.5%5th Ave NE, n/o NE Northgate Way N 30 27.5 0.3%5th Ave NE, n/o NE Northgate Way S 30 27.3 0.3%5th Ave NE, s/o NE Northgate Way S 30 31.6 0.6%5th Ave NE, s/o NE Northgate Way N 30 28.3 0.1%8th Ave NW, s/o NW 80th St S 30 31.5 0.4%8th Ave NW, s/o NW 80th St N 30 30.5 0.3%Airport Way S, se/o S Lucile St NW 30 22.1 0.1%Airport Way S, se/o S Lucile St SE 30 19.3 0.0%



85th Percentile

speed

High End Speeder

PercentageAlki Ave SW, w/o Harbor Ave SW W 30 35.4 2.3%Alki Ave SW, w/o Harbor Ave SW E 30 34.4 1.2%Aurora Ave N, s/o N 112th St S 35 42.1 5.1%Aurora Ave N, s/o N 112th St N 35 41.9 4.9%Corson Ave S, ne/o S Michigan St SW 30 36.2 5.5%Corson Ave S, ne/o S Michigan St NE 30 34.5 1.7%Corson Ave S, sw/o S Michigan St SW 30 31.8 1.2%Corson Ave S, sw/o S Michigan St NE 30 25.7 0.0%Delridge Way SW, nw/o SW Cambridge St SE 30 33.0 0.6%Delridge Way SW, nw/o SW Cambridge St NW 30 32.5 0.3%E Aloha St, e/o 10th Ave E E 30 24.3 0.0%E Aloha St, e/o 10th Ave E W 30 23.6 0.0%Eastlake Ave E, sw/o Harvard Ave E SW 30 35.1 2.5%Eastlake Ave E, sw/o Harvard Ave E NE 30 32.0 0.4%Elliott Ave, nw/o Lenora St SE 25 26.1 0.5%Fauntleroy Way SW, n/o SW Barton St N 30 34.6 1.9%Fauntleroy Way SW, n/o SW Barton St S 30 33.9 0.7%Fauntleroy Way SW, s/o SW Hudson St S 30 23.0 0.0%Fauntleroy Way SW, s/o SW Hudson St N 30 22.6 0.0%Lake City Way NE, ne/o NE 95th St NW 35 No Data No DataLake City Way Ne, ne/o NE 95th St SW 35 No Data No DataLake Washington Blvd E, nw/o E Madison St NW 25 29.7 1.1%Lake Washington Blvd E, nw/o E Madison St SE 25 27.6 0.8%Mercer St, w/o 6th Ave N W 25 33.0 9.2%Mercer St, w/o Fairview Ave N E 25 35.0 15.0%Meridian Ave N, s/o N 145th St S 30 31.4 0.4%Meridian Ave N, s/o N 145th St N 30 29.6 0.2%N 130th St, w/o Linden Ave N E 30 36.2 3.8%N 130th St, w/o Linden Ave N W 30 33.7 1.2%N 145th St, w/o Linden Ave N E 35 41.3 4.2%N 145th St, w/o Linden Ave N W 35 40.8 3.7%N 145th St, w/o Meridian Ave N W 35 38.8 1.4%N 145th St, w/o Meridian Ave N E 35 38.3 1.3%N 65th St, w/o Linden Ave N W 30 30.1 0.1%N 65th St, w/o Linden Ave N E 30 28.0 0.0%N 80th St, w/o Linden Ave N W 30 30.7 0.2%



85th Percentile

speed

High End Speeder

PercentageN 80th St, w/o Linden Ave N E 30 30.4 0.2%N Northgate Way, w/o Ashworth Ave N W 30 37.9 7.9%N Northgate Way, w/o Ashworth Ave N E 30 36.5 4.1%NE 75th St, e/o 12th Ave NE W 30 33.2 0.7%NE 75th St, e/o 12th Ave NE E 30 32.3 0.9%NE 80th St, e/o 5th Ave NE W 30 No Data No DataNE 80th St, e/o 5th Ave NE E 30 29.4 0.5%Queen Anne Ave N, s/o Crockett St S 30 20.5 0.2%Queen Anne Ave N, s/o Crockett St N 30 18.7 0.0%Rainier Ave S, se/o S Warsaw St NW 30 38.9 11.0%Rainier Ave S, se/o S Warsaw St SE 30 36.9 6.2%Renton Ave S, n/o S Cloverdale St N 30 36.0 4.0%Renton Ave S, n/o S Cloverdale St S 30 35.8 3.3%Renton Ave S, se/o S Bangor St NW 30 No Data No DataRenton Ave S, se/o S Bangor St SE 30 35.3 2.5%Roosevelt Way NE, n/o NE 73rd St S 30 28.6 0.2%Roosevelt Way NE, s/o NE Northgate Way S 30 31.1 0.2%Roosevelt Way NE, s/o Ne Northgate Way N 30 31.0 1.0%S Columbian eb Way, nw/o 14th Ave S SE 35 39.3 1.3%S Columbian wb Way, nw/o 14th Ave S NW 35 38.5 1.1%S Henderson St, e/o Renton Ave S W 30 29.0 0.2%S Henderson St, e/o Renton Ave S E 30 28.7 0.1%S Myrtle St, w/o Beacon Wr Ave S W 30 32.8 0.6%S Myrtle St, w/o Beacon Wr Ave S E 30 31.0 0.2%Stone Way N, s/o N 45th St S 30 25.2 0.0%Stone Way N, s/o N 45th St N 30 23.3 0.0%SW 106th St, w/o Seola Beach Dr SW E 30 38.3 8.2%SW 106th St, w/o Seola Beach Dr SW W 30 36.3 4.1%SW Holden St, w/o Delridge Way SW W 30 34.2 1.6%SW Holden St, w/o Delridge Way SW E 30 34.0 1.5%SW Spokane Br, w/o SW Spokane E St W 30 44.6 35.3%SW Spokane Br, w/o SW Spokane E St E 30 41.3 19.3%Valley St, w/o Fairview Ave N E 30 30.8 1.4%Valley St, w/o Fairview Ave N W 30 29.6 0.7%W Emerson Pl, se/o 21st Ave W SE 30 35.4 3.1%



85th Percentile

speed

High End Speeder

PercentageW Emerson Pl, se/o 21st Ave W NW 30 34.5 1.7%West Marginal Way SW, nw/o Highland Park Way SW SE 40 49.0 11.3%West Marginal Way SW, nw/o Highland Park Way SW NW 40 47.8 7.6%Western Ave, nw/o Lenora St NW 25 29.4 3.1%Westlake Ave N, s/o Highland Dr N 30 35.4 3.3%Westlake Ave N, s/o Highland Dr S 30 31.8 0.7%


HISTORICAL COLLISION DATA

Historical DataYear Statewide Collisions Seattle Collisions Police Reported Citizen Reported 2006 122,172 15,784 15,625 159 2007 118,829 15,065 14,971 94 2008 110,494 14,139 14,037 102 2009 103,008 13,272 12,101 1,171 2010 101,887 11,948 11,288 6602011 98,881 12,405 11,240 1,165 2012 99,560 12,725 10,614 2,111 2013 99,689 12,736 10,310 2,426 2014 107,634 12,034 10,815 2,425 2015 117,053 14,244 10,930 3,314 2016 122,384 13,641 11,603 2,038 2017 121,068 12,469 10,959 1,516

Fatal/Serious CollisionsYear Fatal Serious Injury Total Serious Fatal2006 33 293 3262007 14 245 2592008 20 193 2132009 24 200 2242010 18 177 1952011 10 140 1502012 19 177 1962013 22 156 1782014 17 169 1862015 21 143 1642016 20 171 1912017 19 168 187


Bicycle Collisions

YearTotal

CollisionsPossible/

Evident Injury Serious InjuryFatal

CollisionsFatal and Serious Injury Collisions

2005 293 223 46 0 462006 365 280 52 2 542007 356 263 45 1 462008 365 280 54 2 562009 383 297 59 4 632010 364 292 48 1 492011 362 295 41 2 432012 387 319 28 1 292013 421 340 54 2 562014 380 316 21 1 222015 483 404 25 1 262016 439 352 26 2 282017 403 324 19 2 21

Pedestrian Collisions

YearTotal

CollisionsPossible/

Evident Injury Serious InjuryFatal

CollisionsFatal and Serious Injury Collisions

2005 477 424 46 7 532006 567 510 48 9 572007 487 445 37 5 422008 470 418 43 9 522009 454 398 45 11 562010 496 448 43 5 482011 393 355 36 2 382012 469 417 44 8 522013 396 339 48 9 572014 473 360 52 6 582015 522 412 46 7 532016 553 428 61 5 662017 537 396 62 11 73


2017 ALL COLLISIONS

Serious Injury Collision 1%

Fatality Collision 0%

2017 COLLISION SEVERITY

Injury Collision28%

Property Damage Only Collision

60%

Unknown 11%

2017 Total Collision by State Collision TypeCount

All other non-collision 4Property Damage 1Domestic animal other (cat, dog, etc) 1Entering at angle 2,215Fire started in vehicle 1Fixed object 842From Opposite Direction 866From Same Direction 3,820Parked Car 1,990Other object 16Pedestrian 501Train 15Bicycle 359Vehicle overturned 36Not Stated 1,808Grand Total 12,475


Contributing Circumstances for All 2017 Collisions

Fatality Collision

Serious Injury

CollisionInjury

Collision

Property Damage Only

Collision TotalApparently Asleep 1 12 20 33Apparently Fatigued 3 9 12Apparently Ill 1 7 7 15Did not Grant Right of Way to Pedestrian 8 143 15 166Did not Grant Right of Way to Vehicle 2 15 408 674 1,099Disregard Flagger/Officer 1 4 5Disregard Stop and Go Light 1 9 114 105 229Disregard Stop Sign/Flashing Red 1 60 83 144Disregard Yield Sign/Flashing Yellow 9 9 18Driver Adjusting Audio or Entertainment System

1 1 2

Driver Distractions Outiside Vehicle 11 16 27Driver Eating or Drinking 1 1 2Driver Interacting with passengers, Animals, or Objects Inside Vehicle

3 10 13

Driver Not Distracted 13 311 554 878Driver Operating Handheld Telecommunications Device

1 11 12 24

Driver Operating Hands-free Wireless Telecommunications Device

1 1 2

Driver Operating Other Electronic Devices (computers, navigational, etc.)

2 6 8

Driver Smoking 2 1 3Exceeding Reasonable and Safe Speed 4 86 131 221Exceeding Stated Speed Limit 3 4 14 25 46Failing To Signal 1 4 5Failure to Use Xwalk 1 6 12 19Following Too Closely 7 181 263 451Had Taken Medication 2 2Headlight Violation 1 2 1 4Improper Backing 1 8 140 149Improper Parking Location 1 12 13Improper Passing 3 30 77 110Improper Signal 1 9 10Improper Turn 1 6 86 199 292Improper U-Turn 3 24 38 65


Contributing Circumstances for All 2017 Collisions

Fatality Collision

Serious Injury

CollisionInjury

Collision


Collision TotalInattention 1 21 578 1,159 1759None 12 110 2,360 4,407 6,889On Wrong Side OF Road 9 12 21Operating Defective Equipment 2 25 46 73Other 7 28 327 1,201 1,563Other Driver Distractions Inside Vehicle 1 8 16 25Over Center Line 1 10 24 35Under the Influence of Alcohol 1 10 132 231 374Under the Influence of Drugs 3 7 27 37Unknown Driver Distraction 7 19 227 773 1,026

2017 FatalitiesLocation Collision Date Collision Type

Wallingford Ave and N 82nd St 1/1/2017 Pedestrian1St Ave and Columbia St 1/5/2017 PedestrianS Graham St Between 33Rd Ave S and M L King Jr Wr Way S 1/13/2017 CyclesRoosevelt Way NE and NE 65th St 1/26/2017 PedestrianAurora Ave N Between N 104th St and N Northgate Way 2/2/2017 Pedestrian20th Ave NE and NE 65th St 2/4/2017 PedestrianAlaskan Way Viaduct NB Between S Royal Brougham Way on Rp and Seneca St Off Rp

3/11/2017 Motorcycle

Holman Rd NW Between 7th Ave NW and 6th Ave NW 3/13/2017 VehicleLenora St and Western Ave 4/25/2017 PedestrianRenton Ave S Between 54th Ave S and 55th Ave S 7/10/2017 Pedestrian1St Ave S and S Fidalgo St 8/4/2017 MotorcycleS Alaska St Between S Columbian Way and S Alaska Pl 8/26/2017 MotorcycleBlanchard St and Westlake Ave 10/12/2017 Pedestrian15th Emerson Rp and W Emerson St 11/6/2017 Vehicle1St Ave S and S Andover St 11/21/2017 CyclesRainier Ave S Between 51st Ave S and Sturtevant Ave S 12/3/2017 Pedestrian8th Ave NW and NW 92nd St 12/6/2017 VehicleAlaskan Way S and S Atlantic St 12/7/2017 Pedestrian34th Ave S and S Charlestown St 12/14/2017 Pedestrian


2017 PEDESTRIAN COLLISIONS

Collision Location CountAlley 2Block 133Intersection 402Total 537

Pedestrian - Involved Collision Rate per Million Inhabitants

Year Pedestrian Collisions

Seattle Population

Pedestrian Collisions Per Capita

Pedestrian Collisions Per 100,000

2005 477 573,296 0.000832 832006 567 580,485 0.000977 982007 487 589,304 0.000826 832008 470 598,541 0.000785 792009 455 602,000 0.000756 762010 508 608,660 0.000835 832011 401 620,778 0.000646 652012 486 634,535 0.000766 772013 413 652,000 0.000633 632014 496 668,342 0.000742 742015 522 684,451 0.000763 762016 553 704,352 0.000785 792017 537 713,700 0.000752 75

Alley 0%

2017 PEDESTRIAN COLLISION LOCATIONS

Intersection75%

Mid-Block25%


Injury Class of Pedestrians Involved in 2017 Collisions by Facility Type

FacilityFatality

CollisionSerious Injury

CollisionInjury

CollisionProperty Damage

Only Collision TotalDesignated Bike Route 1 1Marked Cross Walk 4 25 190 25 244Other 2 11 2 15Roadway 4 17 50 13 84Shoulder 1 2 3Sidewalk 12 13 1 26Unmarked Crosswalk 1 4 36 5 46Walkway 2 4 1 7

Injury Class of Pedestrians Involved in Collisions in 2017

AgeFatality


CollisionInjury


Only Collision Total14 and Under 10 5 1515 - 24 8 47 8 6325 - 34 3 14 79 8 10435 - 44 2 10 49 5 6645 - 54 2 10 41 6 5955 - 64 1 9 37 3 5065 and Over 3 9 25 2 39


FACILITY THE PEDESTRIAN WAS USING FOR 2017 COLLISIONS

Marked Crosswalk

Not Stated

Other

Roadway

Shoulder

Sidewalk

Unmarked Crosswalk

Walkway

60%19%

2%

4%

11%2%

1%

1%

0% Designated Bike Route

GENDER OF PEDESTRIANS IN 2017 COLLISIONS

43% Male

50% Female

7%Not

Stated


2017 PEDESTRIAN COLLISION SEVERITY BY HOUR OF THE DAY

Unknown


Injury

Serious Injury

Fatality

1 AM

2 AM

3 AM

4 AM

5 AM

6 AM

7 AM

8 AM

9 AM

10 A

M11

AM

12 P

M1

PM2

PM3

PM4

PM5

PM6

PM7

PM8

PM9

PM10

PM

12 A

M

11 P

M

0

5

10

15

20

25

30

35

40

45


Pedestrian Collision Severity by Hour of Day in 2017

HourFatality


CollisionInjury


Only Collision Unknown Total12 AM 1 1 13 3 8 261 AM 1 2 6 2 112 AM 1 1 1 34 AM 1 15 AM 1 3 46 AM 3 15 1 197 AM 1 5 27 4 378 AM 3 19 5 279 AM 1 5 18 1 25

10 AM 6 16 2 2411 AM 1 16 1712 PM 3 30 3 361 PM 4 25 5 342 PM 5 22 1 283 PM 2 3 31 4 404 PM 2 5 18 4 295 PM 3 28 5 366 PM 1 3 36 1 417 PM 25 3 288 PM 1 2 10 4 179 PM 4 13 4 21

10 PM 2 15 7 2411 PM 1 8 9Total 11 62 396 60 8 537


Pedestrian Collision Severity by Day of Week in 2017

Day of WeekFatality

Collision Injury CollisionProperty Damage

Only CollisionSerious Injury

Collision Unknown TotalSunday 2 37 2 5 1 47Monday 1 59 8 6 74Tuesday 1 54 7 13 75Wednesday 75 15 10 1 101Thursday 6 63 9 15 4 97Friday 66 14 7 2 89Saturday 1 42 5 6 54Total 11 396 60 62 8 537

2017 PEDESTRIAN COLLISION SEVERITY BY DAY OF WEEK

Unknown

Serious Injury


Injury

Fatality

0

20

40

60

80

100

120

Sunday Monday Tuesday Wednesday Thursday Friday Saturday


Pedestrian Collision Severity by Month in 2017

MonthFatality


CollisionInjury


Only Collision Unknown TotalJanuary 3 5 32 6 1 47February 2 2 51 3 58March 6 38 8 52April 1 5 17 2 1 26May 4 25 10 39June 4 25 4 33July 1 9 27 2 1 40August 2 23 5 1 31September 3 26 4 33October 1 4 36 5 3 49November 10 47 4 61December 3 8 49 7 1 68Total 11 62 396 60 8 537

2017 PEDESTRIAN COLLISION SEVERITY BY MONTH

Unknown


Injury

Serious Injury

Fatality

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec0

10

20

30

40

50

60

70

80


Vehicle Actions in Pedestrian Collisions in 2017Fatality


CollisionInjury

Collision TotalVehicle backing hits pedestrian 2 10 12Vehicle going straight hits pedestrian 7 41 135 183Vehicle hits Pedestrian - All Other Actions 2 2 4Vehicle turning left hits pedestrian 2 9 144 155Vehicle turning right hits pedestrian 2 6 59 67

Injury Class of Pedestrians Involved in 2017 Collisions by Weather

Weather ConditionFatality


CollisionInjury


Only Collision TotalClear or Partly Cloudy 6 36 224 39 305Fog/Smog/Smoke 3 1 4Other 2 2Overcast 2 13 45 3 63Raining 3 11 100 12 126Snowing 2 1 3Unknown 1 9 1 11Unknown 1 9 1 11


2017 Pedestrian Collisions by Light Conditions

Fatality Collision

Serious Injury Collision

Injury Collision

Property Damage Only Collision Total

Dark - No Street Lights 2 1 3Dark - Street Lights Off 1 4 5Dark - Street Lights On 5 19 119 20 163Dawn 1 6 10 2 19Daylight 5 34 233 29 301Dusk 1 11 4 16Unknown 6 1 7

2017 Pedestrian Collisions by Road ConditionFatality


CollisionInjury


Only Collision TotalDry 8 43 246 38 335Ice 1 1Snow/Slush 1 1 2Unknown 1 11 1 13Wet 3 17 126 17 163Wet 3 17 125 17 163


2017 BICYCLE COLLISIONS2017 BICYCLE COLLISION LOCATIONS

Mid-block40%

Intersection60%

Contributing Circumstance for Cyclists in 2017 Bicycle Collisions

Contributing Circumstance Fatal

Serious Injury

Possible Injury

Non-Serious Injury (Evident

Injury) No Injury Unknown TotalNot Stated 2 4 6 1 13Did not Grant Right of Way to Vehicle

1 10 3 1 1 16

Disregard Stop and Go Light

1 1 2 4

Disregard Stop Sign/Flashing Red

4 1 5

Disregard Yield Sign/Flashing Yellow

1 1

Driver Distractions Outside Vehicle

1 1

Driver Not Distracted 7 8 3 1 19Exceeding Reasonable and Safe Speed

2 2

Following Too Closely 2 2Headlight Violation 1 1Improper Passing 1 2 1 1 5Improper Turn 1 1 2Inattention 2 4 4 2 12None 5 47 72 10 1 135On Wrong Side OF Road 3 3Operating Defective Equipment

2 1 3

Other 6 7 1 14Unknown Driver Distraction

1 4 1 1 7


Gender of Cyclists Involved in 2017 Collisions

Gender FatalitySerious Injury

Possible Injury

Non-Serious Injury (Evident Injury) No Injury Unknown Total

Not Noted 1 6 6 13Male 2 6 72 82 15 3 180Female 4 16 26 6 52

GENDER IDENTITY OF CYCLISTS INVOLVED IN 2017 COLLISIONS

Male74%

Female21%

NoneNoted

5%


CYCLIST INJURY SEVERITY IN 2017 COLLISIONS

Fatal 1%Unknown 1%

Serious Injury 4%

Possible Injury38%

Non-Serious Injury (Evident Injury)

47%

No Injury9%


Age of Cyclists Involved in 2017 Collisions

Age FatalitySerious Injury

Possible Injury


13 and Under 2 6 1 917 - 24 4 9 19 3 3525 - 34 2 25 38 6 2 7335 - 44 1 1 21 21 3 4745 - 54 2 17 12 4 3555 - 64 1 1 12 6 2 2265 - Over 2 5 1 8Not Stated 1 6 7 1 1 16

AGE OF CYCLISTS INVOLVED IN 2017 COLLISIONS

Unknown

No Injury

Non Serious Injury(Evident Injury)

Possible Injury

Serious Injury

Fatality

0

2

4

6

8

10

12

14

5 7 11 14 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 54 56 58 60 62 64 67 70


Bicycle Collisions by Month in 2017

MonthFatality


CollisionInjury


Only Collision Unknown TotalJan 1 1 16 2 1 21Feb 1 11 1 13Mar 2 19 1 22Apr 18 3 21May 1 40 7 1 49Jun 1 36 3 40Jul 7 48 10 65Aug 3 43 1 1 48Sep 1 32 10 2 45Oct 2 34 5 2 43Nov 1 16 1 1 19Dec 14 2 16Total 2 19 327 46 9 402

Unknown


Injury

Serious Injury

Fatality

2017 BICYCLE COLLISIONS BY MONTH

0

10

20

30

40

50

60

70

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec


Bike Collision Severity by Hour of Day in 2017

HourFatality


CollisionInjury


Only Collision Unknown Total12 AM 7 4 8 194 AM 1 15 AM 1 1 1 36 AM 2 13 2 177 AM 1 20 1 228 AM 42 2 449 AM 1 18 1 20

10 AM 12 3 1511 AM 2 9 1 1212 PM 12 3 151 PM 2 15 172 PM 2 15 1 183 PM 2 22 2 264 PM 2 27 9 385 PM 1 42 4 476 PM 3 25 3 317 PM 18 4 228 PM 12 4 169 PM 1 5 1 7

10 PM 7 711 PM 4 410 PM 1 1 5 3 1011 PM 5 5Total 2 20 337 45 8 416


Unknown


Injury

Serious Injury

Fatality

2017 BIKE COLLISION SEVERITY BY HOUR OF THE DAY

12 A

M1

AM3

AM4

AM5

AM6

AM7

AM8

AM9

AM10

AM

11 A

M12

PM

1 PM

2 PM

3 PM

4 PM

5 PM

6 PM

7 PM

8 PM

9 PM

10 P

M11

PM

05

101520253035404550


Bike Collision Severity of the Day in 2017

DayFatality


CollisionInjury

CollisionProperty Damage Only

Collision Unknown TotalSunday 3 26 4 33Monday 1 41 8 1 51Tuesday 1 4 61 6 72Wednesday 4 64 8 4 80Thursday 3 60 7 1 71Friday 1 4 51 8 2 66Saturday 24 5 29Total 2 19 327 46 8 402

Unknown


Injury

Serious Injury

Fatality

Sun Mon Tues Wed Thurs Fri Sat

BIKE COLLISION SEVERITY BY DAY 2017

0

10

20

30

40

50

60

70

80

90


2017 Injury Class of Cyclists by Facility Type

Facility Type FatalitySerious Injury

Possible Injury


Not Stated 2 2Designated Bike Route

4 28 44 7 2 85

Marked Cross Walk

1 18 12 4 35

Other 4 4Roadway 2 5 34 43 9 1 94Shoulder 5 5 10Sidewalk 1 7 5 13Unmarked Crosswalk

1 1 2

FACILITY TYPE FOR CYCLISTS INVOLVED IN 2017 COLLISIONS

Designated Bike Route

Marked Crosswalk

Other

Roadway

Shoulder

Sidewalk

Unmarked Crosswalk

Walkway

1%

35%

14%

14%

4%5%

2%


Injury Class of Cyclists in 2017 Collisions by Weather

WeatherFatality


CollisionInjury


Only Collision Unknown TotalNot Stated 3 4 8 15Clear or Partly Cloudy

1 18 261 34 314

Fog/Smog/Smoke 1 1Other 1 1Overcast 1 29 3 33Raining 1 28 4 33Unknown 4 1 5

Clothing Visibility for Cyclists Involved in 2016 Collisions by Facility Type

Clothing FatalitySerious Injury

Possible Injury


Dark 2 12 16 6 36Light 1 16 19 1 37Mixed 2 7 54 67 12 3 145Other Reflective Apparel - Shoes, Patches

5 7 12

Retro - Reflective 5 4 9Retro - Reflective 5 5 1 11


GLOSSARY

TRAFFIC VOLUME TERMS Source – William R. McShane and Roger P. Roess, Traffic Engineering (Englewood Cliffs, New Jersey: Prentice Hall, 1990) 49.

ADT: Average Daily Traffic. An average 24-hour traffic volume at a given location for some period less than a year.

AWDT: Average Weekday Daily Traffic. An average 24-hour traffic volume occurring on weekdays for some period of time less than one year, such as for a month or a season.

AADT: Average Annual Daily Traffic. The average 24-hour traffic volume at a given location over a full 365-day year.

INJURY TYPESSource – State of Washington Police Traffic Collision Report Instruction Manual and SDOT

No Injury: Applies when the officer at the scene has no reason to believe that, at the time of the collision, the person received any bodily harm due to the collision.

Possible Injury: Any injury reported to the officer or claimed by the individual such as momentary unconsciousness, claim of injuries not evident, limping, complaint of pain, nausea, hysteria, etc. These are counted as injuries when the total number of injuries is presented.

Non Serious Injury (Evident Injury): Any injury other than fatal or disabling at the scene, including broken fingers or toes, abrasions, etc.

Serious Injury: Any injury that results in at least a temporary impairment, e.g. a broken limb. It does not mean that the collision resulted in a permanent disability.

Fatality: This category includes persons who died at the scene of the collisions, were dead on arrival at the hospital, or died within 30 days of the collision from collision-related injuries.

ROADWAY CLASSIFICATION TYPES Source – City of Seattle Comprehensive Plan, Section 3.4 and SDOT

Residential (Non-Arterial) Streets: Roadways that provide localized traffic circulation, including access to neighborhood land uses, commercial and industrial land uses, and access to higher level traffic streets.

Collector Arterials: Roadways that collect and distribute traffic from principal and minor arterials to local access streets or provide direct access to destinations.

Minor Arterials: Roadways that distribute traffic from principal arterials to collector arterials and access streets.

Principal Arterials: Roadways that are intended to serve as the primary routes for moving traffic through the city, connecting urban centers and urban villages to one another, or to the regional transportation network.

The Seattle Department of Transportation700 5th Avenue, Suite 3800PO Box 34996Seattle, WA 98124-4996(206) 684-ROAD (7623)www.seattle.gov/transportationwww.seattle.gov/visionzero 12.2018

This report is prepared in compliance with Seattle Municipal Code 11.16.220, which requires the City Traffic Engineer to present an annual traffic report that includes information about traffic trends and traffic collisions on City of Seattle streets. Beyond this legal requirement, the report strives to serve as an accessible reference of Seattle traffic data and trends for all.

In gathering and compiling the information in this report, the Seattle Department of Transportation does not waive the limitations on this information’s discoverability or admissibility under 23 U.S.C § 409.

For additional information about traffic data and collisions on Seattle streets, readers may contact the City Traffic Engineer Dongho Chang at [email protected] or visit http://data.seattle.gov.

Seattle Department of Transportation 2018 TRAFFIC REPORT · 2018-12-04 · 2018 TRAFFIC REPORT | 5...

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