Seattle Department of Transportation 2017 TRAFFIC REPORT · vehicle average daily traffic (ADT). Volumes are trending upward with traffic counts increasing since 2012. Traffic volumes

Seattle Department of Transportation

2017 TRAFFIC REPORT

*2016 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

2017 TRAFFIC REPORT | 5

EXECUTIVE SUMMARY

As Seattle continues to grow, we look to our data to monitor trends and respond to needs citywide. The annual Traffic Report presents a review of the core data sets the Seattle Department of Transportation (SDOT) collects and maintains.

Seattle’s population grew by 2.9% last year inviting 19,901 new neighbors into our community. In terms of how people are getting around the city, we continue to have an impressive commute mode split – nearly 50% of trips are made by means other than driving alone. For those commuting downtown, more than 70% are taking transit, carpooling, biking, or walking. City’s average daily traffic volumes remain unchanged in 2016, compared to 2.6% increase in all state highways in Washington State.

Bicycle volumes from our permanent counters show 2.6% decrease in ridership from 2015. Ridership is expected to increase as we build and connect our bicycle network identified in the Bicycle Master Plan. Our 2nd Ave protected bike lanes have seen nearly triple the number of riders since 2014.

Transit ridership increased by 4.8% in the last year. Transit service continues to sustain our transportation system and Seattle residents made it clear that transit service is a priority by approving Proposition 1 in November 2014, which provides more service hours to 85% of bus routes.

In February 2015, Seattle launched our Vision Zero initiative to end traffic deaths and serious injuries by 2030. It’s an aggressive goal that will be guided by data and a desire to improve safety for everyone who travels in and around Seattle’s streets, no matter how they get around. Twenty fatal collisions occurred in 2016, which is one less than the prior year. Of the twenty fatal collisions, five involved people walking and three involved people riding bicycles. Speeding was cited in five incidents, driving under the influence of alcohol in three incidents, driver distraction in three incidents, and did not grant right of way to pedestrian in two incidents.

Scott Kubly, 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 also collects vehicle speed 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 measuring traffic volumes 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). Volumes are trending upward with traffic counts increasing since 2012. Traffic volumes remain unchanged, however, from 2015 to 2016. 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

1,019,295 1,019,044

1,009,764

950,000

970,000

990,000

1,010,000

1,030,000

1,050,000

1,070,000

2006

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016


704,352

500,000

550,000

600,000

650,000

700,000

750,000

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

SEATTLE POPULATION

165,615,341

100,000,000

110,000,000

120,000,000

130,000,000

140,000,000

150,000,000

160,000,000

170,000,000

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

TRANSIT RIDERSHIP


AVERAGE ANNUAL EMPLOYMENT - SEATTLE, TACOMA, BELLEVUE

1,935,205

1,500,000

1,550,000

1,600,000

1,650,000

1,700,000

1,750,000

1,800,000

1,850,000

1,900,000

1,950,000

2,000,000

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

2016 SEATTLE COMMUTE MODE SHARE*

*2016 American Community Survey

Drove Alone

Carpool

Transit

Walked

Biked

Other

2%

4%

12%

23%

7%

52%


TRAFFIC FLOW MAPThe 2016 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 2016 the top ten arterials for traffic volume includes four streets that were not on the list in 2015: Montlake Blvd NE, north of NE Pacific Pl, Fremont Bridge, 1st Ave S Bridge, and Rainier Ave S, Southeast of S Dearborn 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 137,400East Marginal Way S, South of S Alaska St 68,000Montlake Bridge 63,100Ballard Bridge 60,400Montlake Blvd NE, north of NE Pacific Pl 55,800Fremont Bridge, north of Point A 52,2001st Ave S Bridge 50,900S Michigan St, west of 4th Ave S 49,00015th Ave W, north of W Armory Way 46,600Rainier Ave S, Southeast of S Dearborn St 44,500


27300

3590

0

31700 23900

2550

0

1510

0

26800

33600

37800

20800

15400

5800

66100

19100

50000

2100

0

3980

0

19600

7900

6200

1020

0

8900

1520023600

10000

7000

4100

11400

20000

14900

9300

1400

3100

1680

0

1340

013

200

17200

7700

3500

18100

10000

7300

9800

3300

2200

11600

2800

1030

0

5900

21400

1450

0

1860

0

5100

24600

8200

11000

22500

1360

0

6100

9500

4900

6200

7900

2700

1420

0

2950

0

15100

11700

1630

0

5700

1240

0

2900

1270

0

6900

8700

7700

8400

11900

13000

2700

10200

6600

790011

300

7800

8500

3300

1200

013

500

14200

3900

3600

24900

9800

10800

23900

9400

270015

300

7100

7100

1530

0

10600

8400

7400

7600

2900

2200

6100

900

9600

3800

2430

0

4700

38000

10700

6100

4200

12800

1400

1200

26600

9800

3730

0

10500

9200

6100

11800

3420

0

25400

9200

9100

2210

0

11100

10600 4700

1240

0

8000

20100

6300

8500

13100

34100

26600

9800

23400

3800

1080

0

21100

3000

6200

1000

0

2800

1720

0

1570

0

17100

12300

11600

1400

0

1010

0

4400

6800

9600

6700

4200

1600

8400

1820029300

4100

5100

1160

0

8300

40000

5890

0

19800

8200

39800

8800

14900

1700

0

2000

1480

0

13600

10100

8200

8100

21600

12500

2060

0

20000

1150

0

10400

7900

3310

0

2700

12000

14500

3900

0

2930

0

12300

3020

0

3000

10700

1890

0

36500

9400

14000

5400

2870

0

11000

8700

1500

0

1070

0

1590

0

9900

19000

9000

10200

6700

1560

0

1510

0

4500

7800

8300

2930

0

5400

19800

18300

9000

8700

6400

2200

15300

1640

0

12900

19500

9100

1870

0

2230022000

24600

7500

2070

0

4800

12700

13600

18100

14200

3410

0

1070

0

8900

3800

22500

34200

1670

0

2700

1210025400

4000

1850

0

26300

1020

0

15200

6000

3900

23500

4290

0

4400

51700

2700

4400

15400

2950

022

400

6100

43600

4000

2950

0

6000

4900

7300

1500

0

1440

0

4000

3300

11100

9200

7800

4200

3140

0

2350

0

1480

0

3200

0

15800

11400

2450

0

7800

7100

4000

7000

7100

2800

33100

1040

0

31800

4400

20000

17300

5200

17200

16700

7300

21900

1020

0

21800

3500

9500

2600

2000

0

1490

0

5000

4900

4700

16900

9100

1530

0

3700

0

1610

0

5100

3500

3370

0

1380

0 1090

0

5900

20800

14800

9600

29500

12800

7300

8600

800

8600

9100

8500

7200

1820

0

1580

0

6200

1350

0

2800

2080

0

1860

0

6600

15700

11700

4800

5700

7000

2040

0

22600

2790

0

5580

0

9200

1940

0

22400

1100

44500

8900

1860

0

6800

95600

4660

0

6200

0

3800

2400

2400

13200

1870

0

4500

1900

2420

011

700

12800

4000

9200

13500

7600

2200

5920

0

108200

2280

0

20800

18700

1180

0

7500

1270011300

1220

0

21700

10500

1110

0

5800

1150

021

700

5400

6500

4200

1140

0

3520

0

1460

0

2450

0

1310

0

7600

1990

0

5000

1200

0

4200

6200

7700

3450

0

1600

0

17700

1550

0

1400

0

17200

1210

0

1700

0

1360

0

24600

8900

3200

15300

6400

1120

0

1300

0

5200

4660

0

8300

1630

0

2290

0

6300

5600

2000

30000

1770

0

22600

2800

0

33500

28500

1240

011

800

6600

2790

0

1500

1670

0

7600

3800

18000

3700

35600

1500

1250

0

25200

1360

0

2600

3900

8300

1800

8700

8400

12600

1020

0

1000

1990

0

15000

6200

1190

0

6500

8700

10000

1600

0

2500

2000

7000

6500

15000

4000

3000

6200

1300

0

12000

2500

6500

4500

10500

7500

2500

17000

4000

1650

0

7500

9000

10000

2800

6500

9500

13000

10500

1800

13000

3200

13100

12000

5000

6500

3800

7500

4000

12000

28000

7500

4000

1050

0

2400

9500

6800

4000

14800

3500

1500

70003800

10000

6500

1200

0

3000

2300

0

23500

10500

9500

6000

24000

16000

3200

0

13000

6500

3000

1300

15000

10500

10000

2500

1500

10000

27000

3200

9000

10000

10000

9000

4500

1000

0

10000

11500

2150

0

6700

6500

8000

21000

1000

0

2500

16000

14000

5000

6500

1850

0

6500

15000

2200

0

7500

6000

6000

7500

7500

8500

6500

18500

2500

9000

2000

9500

2600

14000

5500

7000

1600

18500

1000

0

3000

12500

25000

2500

0

5000

10000

7500

21500

4000

1600

0

5000

0

11000

3600

1700

0

6000

1060

0

9000

2500

10000

12000

17500 18500

1500012000

9000

3600

0

30000

2500

4300

0

3500

5500

7500

1250

0

3000

5000

2000

9500

2600

0

1900

0

1700

0

6500

6500

1150

0

3600

0

19500

29500 34000

1400

0

6000

2000

1600

0

10500

4500

1250

0

3500

6000

2500

9500

8000

1000

0

1150

0

3200

0

5700

6000

39000

3500

8300

3600

0

16500

3500

30500

1200

030

000

35000

2600

18500

2500

5100

25500

4300

0

17000

1500

0

11000

7500

62000

2550

0

5500

2700

4500

24000

11500

3500

3000

3500

33500

6000

2200

3550

0

2300

9000

5000

5000

1800

0

9000

2500

3700

1000

0

4000

2000

0

1100

0

18000

7000

9500

1250

0

2000

1150

0

3600 11

0011

00

9000

1800

0

1600

0

3200

0

21000

5000

4000

1400

0

4500

0

2000

7800

4000

1350

0

2000

9500

7500

12000

1400

0

2000

1600

8000

1700

12000

5000

1000

0

11000

7500

17500

3500

0

4000

14000

3800

6500

2000

1550

0

3000

1300

0

2200

8000

9000

35000

52000

4000

3500

1500

20000

11500

1600

0

5000

1250

0

2500

600

2000

5500

2000

5000

6300

3000

10500

3500

0

1350

0

600

1100

0

6500

2500

3000

2500

1500

4000

4500

7500

1600

0

5000

5000

50004500

21000

8000

3200

6000

75008500

5000

1080

0

3000

2000

3500

5800

0

3800

0

8500

5000

4500

6600

4000

10000

7500

3600

0

9500

1000

0

27000

5400

0

2700

9000

2300

11000

3500

28000

23000

1830

00

130000

37000

63000

40000

1700

00

9700

0

2150

00

158000

62000

124000

2050

00

47000

32000

190000

31000

82000

3200

0

1570

00

2390

00

49000

39000

1880

00

4500

0

28000

4500

0

39000

1910

00

6800

0

32000

179000

131000

245000

2000

00

175000

31000

44000

148000

5200

0

60000

43000

120000

6700

0

2100

194000

6400

0

195000

4700

0

131000

208000

70000

BANNER WAY NE

BR

OA

DW

AY

64TH

A VE

S

AU

RO

RA

AVE

N

S LANDER ST

E YESLER WAY

S ORCAS ST

S GRAHAM ST

S OTHELLO ST

51ST

A VE

S

NE 50TH ST

NE 45TH ST

1ST

AVE

NE

NE PACIFIC ST

6TH

AVE

S

NW 46TH ST

ELLIOTT AVEW

S JACKSON ST

SCOLUMBIAN WAY

RAINIERAVE

S

N 39TH ST

SW ROXBURY ST

N 85TH ST

3RD

AVE

NW

E MADISONST

NE 65TH ST

15TH

AVE

NE

BOREN AVE

S BANGOR ST

N 45TH ST

NE 70TH ST

SWIFT AVE S

RENTON

AVES

S MCCLELLAN ST

E PINE ST

HARBORAVE

SW

23R

DAV

EE

LEARYAVE

NW

DENNY WAY

NW 65TH ST

E ALOHA ST

NE 125TH ST

5TH

AVE

NE LA

KE

CIT

YW

AYNE

FAU

NTL

ERO

YW

AYSW

WES

TVI

EWM

ON

TW

A YW

DELR

IDG

EW

AYSW

SW HENDERSON ST

NW 100TH ST

24TH

AVE

NW

CARK

EE

KDR

S

S ROXBURY ST

EAST

MA

RGIN

ALW

AYS

E UNION ST

STEWART S

T

NE 75TH ST

RO

OSE

VELT

WAY

NE

FUHRMAN

AVEE

LEARY WAY NW

11TH

AVE

NE

8TH

AVE

W

W GALER ST

E ROANOKE ST

E ROY ST

NE 145TH ST

8TH

AVE

NW

S SPOKANE ST

CONDO

NW

AYW

BELMONT AVEE

35TH

AVE

NE

MA

RIN

EV

IEWDR

SW

35TH

AVE

S W

E BOSTONST

S LUCILE ST

TRIT

ON DRNW

NE 115TH ST

WATERSAVE

S

NW 85TH ST

E CHERRY ST

S ALBRO PL

E THOMAS ST

12TH

AVE

SW

ADMIRAL WAY

STO

NE

WAY

N

S WALKER ST

AIRPORT WAY S

WINONA AVE N

S COLLEGE ST

NW 100TH PL

NE 95TH ST

NE 85TH ST

7TH

AVE

W

ELLI

SAV

ES

NE BLAKELEYST

N 145TH ST

32N

DAV

EW

NE 80TH ST

EASTG

REEN LAKE DRN

10T H

AVE

W

3RD

AVE

W

BOREN

AVE S

S DEARBORN ST

W MERCER ST

W MCGRAW ST

47THAVE

SW

NW 96TH ST

15TH

AVE

S

BEA

CO

NAVE

S

W BERTONA ST

SW HOLDEN ST

SHILSHOLE

AVE NW

BROADST

E GALER ST

GR

EEN

WO

OD

AVE

N

WEMERSON PL

N 125TH ST

12TH

AVE

NE

NE 41ST ST

19TH

AVE

E

MO

NTL

AKE

BLV

DN

E

SW 106TH ST

CORLISSW

AYN

GILMANAVE

W

SW BARTON ST

BRID

GE WAY N

N 35TH ST

2ND

AVE

SW

W OLYMPIC PLPI

NEHURST WAYNE

48TH

AVE

S W

NPA

CIFI

CST

N 50TH ST

E JOHN ST

SW OREGON ST

E ALDERST

S CLOVERDALE ST

S MYRTLE PL

LAK

ESID

EAV

ES

NNO

RTHG

ATE WAY

NICKERSON ST

14TH

AVE

S

S HOLGATE ST

NE 55TH ST

S HANFORD ST

BEACHD

RSW

LAK

EW

ASHING

TON

BLV

DS

PINE ST

CA

LIFO

RN

IAAV

ESW

SW THISTLE ST

TAYL

OR

AVE

N

S GENESEE ST

LAKE

WA

SHIN

GTO

NBL

VD

SWJACOBSEN

RD

24TH

A VE

E

N 43RD ST

20TH

AVE

S

ER SKI N

EWAY SW

1ST

AVE

S

FLORENTIA ST

W EMERSON ST

S HUDSON ST

32N

D A

VE N

W

20TH

AVE

NW

4TH

AVE

S

48TH

AVE

NE

15TH

AVE

NW

QUEEN ANNE DR

LATO

NA

AVE

NE

E DENNY WAY

SW HANFORD ST

N 46TH ST

N 40TH ST

N 36TH ST

SWDAW SON ST

NE 100TH ST

55TH

A VE

S W

MAGNOLIA BR

10TH

AVE

E

34TH

AVE

BOSTON ST

S MICHIGAN ST

N 92ND ST

SW MORGAN ST

55TH

AVE

NE

1 6TH

AVE

SW

EAST

LAK

EAV

EE

N 130TH ST

16TH

AVE

S

NE 103RD ST

REPUBLICAN ST

SW GRAHAM ST

THO

RNDY

KEAV

EW

1ST

AVE

N

ROY ST

BATTERY S

T

SW GENESEE ST

SW EDMUNDS ST

SW CHARLESTOWN ST

E LYNN ST

N 105TH ST

ROOSEVELT WAY N

38TH

AVE

S

MER

IDIA

NAV

EN

N 56TH ST

NW54TH ST

N 90TH ST

SW TRENTON ST

NW 125TH ST

S INDUSTRIAL WB WAY

36TH

AVE

NW

W

MANOR PL

M L

KIN

G J

R W

AY

SYLVAN WAY

SW

VIEWMONTWAYW

HOLM

AN RD NW

S DAWSON ST

BO

YLST

ON

AVE

E

6TH

A VE

W

N NORTHLAKE WAY

62N

DAV

ES

OLS

ONPL SW

GILMAN DR W

WEST SEATTLE BR

12TH

AVE

S

42N

DAV

EE

31STAVE

W

47TH

AVE

NE

S KENYON ST

N 115TH ST

DAY

TON

AVE

N

9TH

AVE

SW

25TH

AVE

SW

8TH

AVE

SW

49TH

AVE

SW

SW 100TH ST

37TH

A VE

SW

ALKI A

VESW

GLENN WAY SW

SFRINKPL

DENSM

ORE

AVEN

DUMARW

AYSW

MYERS W

AY S

MA

GN

OLIA

BLV

DW

WESTLA

KE

AVEN

LAKE

WA

SHIN

GTONB

LVD E

ML

KIN

GJR

WAY

S

14TH

AVE

QU

E EN

AN

NE

AVE

N

15TH

AVE

W

28TH

AVE

W

WILSO

NAVE

S

15TH

A VE

E

34TH

AVE

W

HIG

HLA

ND

PARK

WAY SW

40TH

AVE

NE

SEWA

RD

PAR

KAVE

S

6 3R

DAV

ES W

BA

LLA

RD

BR

BOYER AVE E

RAVE

NNA

AVE

NE

25TH

AVE

NE

23R

DAV

ES

23R

D A

VE

14TH

AVE

NW

PHIN

NEY

AVE

N

28TH

AVE

NW

8 TH

A VE

S

3 1ST

AVE

S

ALA

SKA

NW

AYS

7TH

AVE

S

5TH

AVE

N

12T H

AVE

E

32N

DAV

EE

50TH

AVE

S

3 5T H

AVE

S

MCG

ILVR

ABL

VDE

21ST

A VE

W

20TH

AVE

NE

22N

DAV

EW

1ST P

L NE

SEAV

IEW

AVE

NW

NE 110TH ST

30TH

AVE

NE

CO

LLEG

E W

AY N

MERCER ST

DEX

TER

AVE

N

SAN

D P

OIN

T W

AY N

E

5TH

AVE

NE

3RD

AVE

NW

3RD

AVE

NW

NW 80TH ST

NW MARKET ST

CA

LIFO

RN

IA A

VE S

W

35TH

AVE

SW

WEST M

AR

GIN

AL W

AY SW

16TH

AVE

SW

EAST MARGINAL WAY SW

S CLOVERDALE ST

S SPOKANE ST

AIR

POR

T W

AY S

LakeUnion

GreenLake

PortageBay

E l l i o t tB a y

P u g

et

So

un

d

Pu

ge

tS

ou

nd

La

ke

Wa

sh

i ng

t on

La

ke

Wa

sh

i ng

to

n

Du

wa

mi

sh

R

iv

er

HallerLake

Bitter Lake

Salmon

Bay

7900

8600

1940015500

9400

20100

8700

1080013500

9100

6100

4900

1030

0

3800

2600

1210

0

6600

31800

31700

8600

6600

6000

2680037800

8000

4800

4300

19000

7100

2360011200

13100

5800

2900

5400

25400

4100

20100

15700

3300

18400

5500

10600

23400

7300

14200

13000

14200

13300

8600

98008800

2900

10400

12500

9000

9400

7700

1300

0

8000

6000

7500

9000

28000

10000

350010000

20000

9000

13000

19500

7800

11500

12000

15000

19500

135007500

3900

4000

4000

15500

4500

7000

15000

2400

0

7000

5000

3000

3500

6600

3000

8500

10000

6000

9500

5000

16500

BR

OA

DW

AY

6TH AVE

YESLER WAY

BOREN AVE

7THAVE

DENNY WAY

EO

LIVE

W

AY

MARION ST

COLUMBIA ST

SPRING ST

9TH AVE

SENECA ST

2NDAVE

WESTERN AVE W

BROAD ST

OLIVE WAY

UNION ST

3RD AVE

WALL

ST

ALASKAN WAY

PIKE ST

BATTE

RY ST

LENORA

ST

E JAMES WAY

1ST AVE

MADISON ST

5TH AVE

JAMES ST

4TH AVE

4TH AVE

S JACKSON ST

2016 SeattleTraffic Flow MapAverage Annual Weekday Traffic

1,000

2,500

5,000

7,500

10,00

0

25,00

0

50,00

0

75,00

0

100,0

00

0 0.25 0.5 0.75 1Miles

N

EW

S

Annual Daily Traffic from WSDOTScaled the same are purple lines

Blowup ofDowntown

0 0.1 0.2 0.3 0.4 0.5Miles

Traffic flow scale same as main map

Estimated ValueMeasured Value

PLOT DATE : 10/27/2017AUTHOR: F QiV:\StUse\09 - Data and GIS\Projects\17-10 2016 Traffic Flow Map\TrafficFlowMap 2016.mxd

© 2016 THE CITY OF SEATTLE. All rights reserved.Produced by the Seattle Department of Transportation.No warranties of any sort, including accuracy, fitness ormerchantability, accompany this product.Coordinate System: State Plane, NAD83-91Washington, North Zone


BICYCLE VOLUMESIn 2016, SDOT collected bicycle volume data with three different programs: automated permanent bicycle counters at 10 locations, 163 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. This is the third full year of complete data for the Fremont bridge bike counter. The total bike volume for 2016 was just little under a million at 982,470, which represents 0.4% reduction in bike volume from 2015.

0

20,000

40,000

60,000

80,000

100,000

120,000

140,000FREMONT BRIDGE BIKE COUNTS

2013201420152016

2015: 986,5562016: 982,470 0.4%

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


Fremont Bridge Totem 2016Total 982,470Peak Day Mon, 2 May, 2016 (5,656)Minimum Day Thu, 24 Nov, 2016 (179)Max Day of the Week TuesdayHourly Average 112Daily Average 2,684Average Workday Traffic

3,233

Average Weekend Traffic

1,322

Weekly Average 18,790Monthly Average 81,705

2016 marks the fourth 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. Seven continuous count sites had no physical changes from 2015 to 2016 and provided good baseline data. Bicycle volume decreased by 2.6% from 2015 to 2016 based on total counts at these seven permanent count locations.

Site2015 Annual

Count2016 Annual

Count39th Ave Greenway at 62nd St

93,794 80,788

Burke Gilman north of NE 70th St

414,548 405,393

Elliott Bay in Myrtle Edward Park

446,800* 411,192

Fremont Totem 986,556 982,470MTS west of I-90 252,500 231,177Spokane St Bridge 299,550 297,474Broadway 99,595 114,399Total 2,593,343 2,526,822

*Volumes estimated for March.

Multiday Short CountsIn 2016 we conducted 163 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 going forward.

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.



2016 AVERAGE DAILY BIKE VOLUMES

L a keU n i o

Ship Canal

Portage Bay!(!(

!(

!(!(!(

!(

!(

!(!(

!(

!(!(

!(

!(!(

!(

!(!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(!(

!(

!(

!(!(!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!( !(

!(

!(

!(

!(

!(

!(!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!( !(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(!(

!(

!(

!(

!(

!(

Annual Average DailyBike Volume

Trails for Bikes

1,000500

1005010

!(!(!(!(!(


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 2016 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 the July 4th. We observed that these counts don’t correctly show true ridership numbers.

In 2016, the quarterly citywide program counted 17,193 cyclists for the months of January, May and September. The overall number of cyclists counted decreased at these valid count locations. Weather played a factor to these counts due to being on the same day. Weather impacts ridership in which lower volumes will be recorded. We alsoconduct short counts in different locations and have permanent counters. These counts provie a better assessment on daily ridership due to longer periods of counts. From the NBPD count analysis Alaskan Way and Broad St showed the most overall ridership with 1,383 total riders.

AutumnSpringWinter

0

2,000

4,000

6,000

8,000

10,000

12,000

14,000

16,000

2011 2012 2013 2014 2015 2016

NBPD BIKE COUNT ANNUAL TREND


PEDESTRIAN VOLUMESSDOT has been using the Downtown Seattle Association’s downtown pedestrian counts from the summer and holiday season since 2007 as a measure of pedestrian volumes. This data has been omitted from this year’s report because the counts have been discontinued. Beginning in 2011, SDOT began collecting quarterly citywide counts using the National Bike and Pedestrian (NBPD) methodology. Pedestrian volume is also being recorded at the newly installed permanent multi-sue trail counter locations. The map of these locations can be found in the appendices.

105,327

96,624

58,976

50,000

60,000

70,000

80,000

90,000

100,000

110,000

2011 2012 2013 2014 2015 2016

NBPD PEDESTRIAN COUNT ANNUAL TREND

AutumnSpringWinter

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 conjuction with the quarterly bicycle counts, they share the January, May, July, and September count dates as well as the PM peak (5-7pm), off peak (10am-noon), and Saturday (noon-2pm) time periods.


This 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, except for the summer season, which is highly variable from year to year due to the fact the counts are conducted during the Fourth of July holiday week. With this, we have decided to remove those counts and rely on our other permanent counters.

The total number of pedestrians counted in 2016 by the program was 260,927. The busiest pedestrian location counted in 2016 was at Broadway and East Olive Street with 22,539 total pedestrians counted. The following map shows the total pedestrian volumes for each location counted in 2016. Details of the 2016 counts by location are available on the web at http://data.seattle.gov.


AVERAGE VOLUMES FOR 2016 PEDESTRIAN COUNTS

!(!(!(!(!(

!(

!(

!(!(

!(

!(

!(

!(

!(

!(

!(!(

!(

!(!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

!(

Average Pedestrian Volume2015 NBPD Counts

Symbols Proportional to VolumeRepresentative Scale Below

!(

!(

!(

!(

!(

1050100

500

1,000


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 2016 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 112 St NB 42 5.0% 35Aurora Ave N S/O N 112 St SB 43.7 9.6% 35Stone Way N S/O N 45 St NB 25.9 0.0% 30Stone Way N S/O N 45 St SB 24.8 0.0% 3024th Ave NW S/O NW 80 St NB 31 0.0% 3024th Ave NW S/O NW 80 St SB 30.8 0.0% 30Rainier Ave S NW/O S Holly St NWB 39.1 11.7% 30Rainier Ave S NW/O S Holly St SEB 37.1 7.3% 30Fauntleroy Way SW S/O SW Alaska St*

NB ND ND 30

Fauntleroy Way SW S/O SW Alaska St*

SB ND ND 30

*Data unavailable due to construction activity.


TRAFFIC COLLISIONS

While most collisions result from road user 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 11,603 police reported collisions on Seattle streets in 2016. In addition, there were 2,038 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. The trend for all types of reports is listed on the Supporting Data section.

POLICE REPORTED COLLISIONS ON SEATTLE STREETS

11,603

9,000

10,000

11,000

12,000

13,000

14,000

15,000

16,000

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

There were 11,603 collisions in 2016 on Seattle streets reported by police.


CITYWIDE COLLISION RATEThe collision rate increased by 6.3% from 2015 to 2016.

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

Rate2005 15,744 543,444 198,357,060 79.4 2006 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

CITYWIDE COLLISION RATE

55.5

59.0

50.0

55.0

60.0

65.0

70.0

75.0

80.0

85.0

90.0

Coll

isio

ns p

er M

illio

n AA

DT T

rips

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016


FATAL AND SERIOUS INJURY COLLISIONSThis chart below shows the trend of fatal and serious injury collisions on Seattle streets since 2004. The Vision Zero Action Plan set out a goal of reducing these collisions to zero. The 2016 totalof 191 fatal and serious injury collisions represents 16.5% increase from 2015.

In 2016, there were 20 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.

200

50

100

150

200

250

300

350

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

FATAL/SERIOUS INJURY COLLISION TREND

Serious Injury

Fatal

TotalPedestrianCyclistMotorcycleLinear (Total)

2021

17

53

0

5

10

15

20

25

30

35

40

45TRAFFIC FATALITIES ON SEATTLE STREETS


2016 SERIOUS AND FATAL COLLISION LOCATIONS ON SEATTLE STREETS

G

G

G

G

G

GG

GG

G

G

GG

G

G

GG

G

G

G

G

GG GGG

GG

G GGG GGG

GG

G

GGG GG

G

GGG GG GGGGG GG

G GG

GG

GGG

G

G

GG

GG

G

GG

G

G

G G

G GG

G

G

G

G GG GG

G

GG

G

G

GG

G

GG

G

GG

G

G

G

G

GGGG

G

GG

G

GG

G

G

G

GGGGG

G

G GG

G

GG G

GG

G

GG

GGG

GG G

G

G

G

GG

GGGG

GG

G

G

G

G G

G

G

G

G

G

GG

G

GGG

q

j

q

q

!J

!Gj

j

j

!G

!J

j

q

q

j

!J

j

!G

j

j

j

j

q!G!JjG

Pedestrian FatalityBicycle FatalityMotorcycle FatalityVehicle FatalitySerious Injury Collision


PEDESTRIAN COLLISION RATE The 2009 Pedestrian Master Plan specified that establishing a decreasing trend in the rate of collisions involving pedestrians was 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 increased by 2.6% from 2015 to 2016. The total number of pedestrian serious injury and fatality increased 3.3% from 419 to 433.

PEDESTRIAN-INVOLVED COLLISION RATE PER 100,000 RESIDENTS

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

7876

50

60

70

80

90

100

110 Collision RateLinear (Collision Rate)

553522

433419

300

350

400

450

500

550

600SERIOUS AND FATAL COLLISIONS FOR PEDESTRIANS

Total CollisionsFatal and Serious Injuryand Injury Collisions


2016 PEDESTRIAN COLLISIONS ON SEATTLE STREETS

!

!

!

!

!!

!

!

!

!

!!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!!

!

!

!

!

!

!!

!

!

!

!

!!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!

!

!

!

!

!

!

!

!

!

!!

!!

!

!

!!

!

!

!

!

!

!

!

!!

!!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!!

!

!

!

!!!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!

!

!

!

!

!

!

!

!

!!

!!

!!

!

!

!!

!

!!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!!

!

!

!

!

!

!

!!

!

!

!

!

!

!

!

!

!

!!

!

!

!

!

!!

!

!

!

!

!

!!

!!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!

!!

!

!

!

!

!

!

!

!!

!!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!!!

!

!

!

! ! !!

!

!!!!

! ! ! !!

!!

!

! !

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!

!

!

!

!

!

!!

!

!

!

!

!

!

!!

!

!!!

!

!

!!

! !

!

!

! !

!

!

!

!

!

! !

!

!

! !

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!! ! !!

!

!

!

!

!

!

!

!

!!

!!

! !

!

!

!

!

!

!

!!!

!

!

!

!!

!

!!

!

!

! 1! 2! 3! 4

! 6

Pedestrian Collisions



BICYCLE COLLISION RATEThe chart below shows the bicycle collision rate as a factor of the number of Seattle’s 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 2007 when SDOT Bicycle Master Plan was implemented.

0

10

20

30

40

50

60

70

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

SERIOUS AND FATAL COLLISIONS FOR BICYCLES

30

26

3

30

0

10

20

30

40

50

60

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

BICYCLE COLLISION RATE PER BICYCLE 1000 COMMUTERS

Serious InjuryFatal Collisions


2016 BICYCLE COLLISIONS ON SEATTLE STREETS

!

!

!

!

!

!

!

!

!

! !!!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!!!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!

!!

!!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!

!

!

!

!

!!

!!

!

!

!

!

!

!

!

!!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!

!

!!!

!!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!

!

! !

!

!

!

!!!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!!!

!

!!

!

!

!

!

!

!

!

!

!!

!

!

!

!!

!

!

!!

!!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!!

!

!

!

!

!

!

!

!

!

!

!

!

!!

!

!

!

!

!

!

!

!

!

!

!

!!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

!

! 1! 2! 3! 4! 5! 6! 7

Bicycle Collisions



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

2016 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 Seattle2006 1,054,570 2007 1,006,782 2008 1,017,930 2009 999,465 2010 1,010,870 2011 1,005,616 2012 976,625 2013 986,174 2014 1,009,764 2015 1,019,0442016 1,019,295


2016 Monthly Expansion Factor JAN FEB MAR APR MAY JUN

Count 454,947 471,449 487,443 476,266 482,351 479,218Factor 1.034 0.998 0.965 0.988 0.976 0.982

JUL AUG SEP OCT NOV DECCount 482,047 469,378 468,202 470,935 445,489 458,866Factor 0.976 1.003 1.005 0.999 1.056 1.026

2016 Top Arterial Traffic CountsLocation Notes AAWDT Scaled

West Seattle Br (EB&WB), w/o Alaskan Wy Vi NB on RP 137,400East Marginal Way S, s/o S Alaska St 68,000Montlake Bridge scaled from 2013 63,100Ballard Bridge scaled from 2015 60,400Montlake Blvd NE, n/o NE Pacific Pl 55,800Fremont Br, n/o Point A 52,2001st Ave S Bridge scaled from 2015 50,900S Michigan St, west of 4th Ave S scaled from 2015 49,00015th Ave W, north of W Armory Way 46,600Rainier Ave S, se/o S Dearborn St 44,500Elliott Ave W, southeast of W Mercer Pl scaled from 2015 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 Population2005 573,2962006 580,4852007 589,3042008 598,5412009 602,0002010 610,3832011 622,3542012 635,5212013 653,7132014 669,1122015 684,4512016 704,352

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 1,935,205

Annual Transit Ridership

YearMetro

RidershipAccess

BoardingsTaxi

BoardingsCAT*

Boardings ST Boardings Total Transit

Ridership 2004 96,507,443 1,062,092 50,314 117,004 10,144,153 107,881,006 2005 98,957,216 1,104,480 44,797 127,685 10,968,979 111,203,157 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

*Community Access Transit


SDOT BIKE AND PEDESTRIAN SPOT COUNT LOCATIONS

!

!

!

! ! !

!

!

!

!

! !

!

!

!

! !

!!! !

!

!!

!

!

!

!

!

!! !

! !

!

!

!

!!

!

!

!

!

!

!

!!

!

!

!


SDOT SCREENLINE TRAFFIC VOLUME COUNT LOCATIONS

"

"

"

"

"

"

"

"

"

"

"

"

"

""

"

"

"

"

"

"

"

"

"

"

""

"

"

"

"

"

"

"" "

" "

""

"

"

"

"

""

"

"

"

"

"

"

" "

""

"

"

"

"

"

"

"

"

"

"

""

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

""

"

"

""

"

"

"

"

"

"

"

"

"

"

""

"

"

"

""

"

"

"

"

"

"

"

"

""

"

"

"

"

"

""

"

"

"

"

""

"

"

""

"

" "

"

"

"

""

"

"""

"

""

" "

"

"

"

"

"

"

"

"

"

"

"

"

""

"

"

"

"

"

"

"

"

"

"

"

"

""

""

"

""""

"

"

""

"

"

"

"

"

"

"

"

"

"

"

" "

"

""

"

"

"

"

"

"

"

"

"

"""

"

""

"

"

"

"

"

"

""

"

"

" "

"

"

"

"

"

" "

"

""

""

""

"

"

""

"

"

"

""

"

"

"

"

"

"

"

"

"

""

"

"

"

""

""

"

"

"

"

"

"

"

"

"

"

"

"

"""

"

"

"""

"

"

""

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

""

"

"

"

"

""

"

"

"

"

"

"

"

"

"

""

"

"

"

""

"

"

"

"

"

"

"

"

"

"

""

"

"

"

""

"

"

"

"

"

"

"""

"

""

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

" " "

"

"

"

"

"

"

""

""

"

"

"

"

"

"

"

"

"

"

"

"

""

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

""

"

"

"

"

"

""

"

"

"

"

"

"

"

"

"

""

""

""

"

""

""

"

""

"

"

""

"

"

"

"

"

"

"

"

"

"

"

""

"

"

"

"

"

"

"

"

"

"

"

""

"

"

"

"

"

"

"

"

"

" "

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

""

"

"

"

"

"

""

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

"

""

" "

"

"

"

"

"

"

"

" "

"

"

"

"

"

"

"

""

"

"

"

""

"

"

"

"

"

""

"

"

""

"

"" "

"

"

"

"

"

"

"

""

"

"

"

"

"

""

"

" "

"

"

"

"

"

""""

"

"

"

"

"

"

"

"

"

"

"

"""

"

""

"

"

"

"

""

"

" "

""

" "

"

"

"

"

"

"

"

"

"

" "

"

"

"

"

"

""

"

"

"

"

"

"

"

"

"

""

"

"

"

"

"

"

"

"

""

"

"

"

""

"

"

"

"


SDOT FLOW MAP TRAFFIC VOLUME COUNT LOCATIONS

4

4

4

4

4

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

44

4

4

4

4

4

4

4

44

4

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4 4

4

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

4

4

4 4

44

4

4

4

4

44

4

4

44

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

444

4

4

4

4

4

44

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

44

4 4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

44

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

4 44

4

4

4

4

4

4

4

4

4

4

4

4

4

44

4

4

44

4

4

4

4

4

4

4

4

4

4

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

44

4

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

4

4

4

4

44

4

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

44

4

4

4

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

4

4

4

44

4

4 4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

44

4

4

4 4

4

4

4

4

4

4

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

444

4

4

4

4

4

4

4

4

4

4

44

4

4 4

4

4

4

4

4

4

4

4

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4 4

4

4

4

4

4

4

4

44

4 4

4

4

4

4

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4 4

444

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4 4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4 4

44

4

4

4

4

44

44

4

4

44

4

4

4

4

4

4

4

4

4

4

4

4

44

4

4

4

4

4

4

4

4

4

444 4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

4

44

4 4

4

4

4

4

4

4

4

44

4

4

4

4

4

4

4

4

4

4

4

4


"

!P

!P

"!

"

!

"

!

!

!P

!

Permanent Bike Counters Bike with Display

Bike and Pedestrian

Bike

P"

!

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

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

2016 Machine Bicycle Counts

Count Location Count TypeCalculated Daily Average

Bike VolumeFremont Bridge Totem Continuous Counter 2,690University BR Sidewalks Short Duration Count 1,72012th Ave n/o E Pike St Short Duration Count 1,690NE 40th e/o Brooklyn Ave NE Short Duration Count 1,550Dexter Ave N nw/o Howe St Short Duration Count 1,330Dexter Ave N n/o Denny Way Short Duration Count 1,320Montlake Bridge Short Duration Count 1,200Elliot Bay Trl in Murtle Edwards Park Continuous Counter 1,140Burke Gilman Trail North of NE 70th St Continuous Counter 1,110Burke Gilman Trail e/o 9th Ave NW Short Duration Count 1,110Spokane St Bridge Continuous Counter 8002nd Ave Cycle Track Continuous Counter 670Mountain to Sound Greenway (I-90) Continuous Counter 630Westlake Ave N w/o 4th Ave N Short Duration Count 540Lake Washington Blvd S n/o S Horton St Short Duration Count 410Alki Ave SW sw/o 60th Ave SW Short Duration Count 400Hiawatha nw/o Charles Short Duration Count 39035th Ave NE n/o NE 50th St Short Duration Count 390Roosevelt Way NE s/o NE 45th St Short Duration Count 370Pike St w/o Terry Ave Short Duration Count 350




Bike VolumeUniversity Way NE n/o NE 52nd St Short Duration Count 320Broadway Cycle Track Continuous Counter 310Fremont Ave N n/o N 86th St Short Duration Count 30012th Ave n/o E Howell St Short Duration Count 27026th Ave E s/o E Lee St Short Duration Count 270E Columbia St e/o Broadway Short Duration Count 260NE Campus Pkwy e/o 12th Ave NE Short Duration Count 22039th Ave Greenway at 62nd St Continuous Counter 220S Jackson St e/o 23rd Av S Short Duration Count 21012th Ave S s/o S Weller St Short Duration Count 21026th Ave E s/o Boyer Ave E Short Duration Count 20015th Ave W n/o W Nickerson Short Duration Count 200Mercer St w/o Aurora Ave N Short Duration Count 19028th Ave E s/o E Mercer St Short Duration Count 19028th Ave E se/o E Helen St Short Duration Count 190Dearborn w/o Hiawatha Short Duration Count 18015th Ave NE n/o NE 65th St Short Duration Count 17014th Ave W n/o W Nickerson Short Duration Count 17013th Ave S n/o S Snoqualmie St Short Duration Count 170N 100th St e/o Fremont Ave N Short Duration Count 16012th Ave NE s/o NE 50th St Short Duration Count 150N 100th St e/o Aurora Ave N Short Duration Count 15013th Ave n/o E Pike St Short Duration Count 14012th Ave NE s/o NE 45th St Short Duration Count 1402nd Ave se/o Cedar Ave Short Duration Count 130NW 58 St Greenway at 22nd Ave NW Continuous Counter 12029th Ave E s/o E Roy St Short Duration Count 110NW 58th St w/o 9th Ave NW Short Duration Count 110W Boston St e/o 1st Ave W Short Duration Count 11018th Ave S n/o S Hill St Short Duration Count 100E Columbia St e/o 12th Ave Short Duration Count 100Fremont Ave N s/o N 82nd St Short Duration Count 100Greenlake Way N s/o N 54th St Short Duration Count 100NW 83rd St w/o 8th Ave NW Short Duration Count 80E Garfield St w/o 38th Ave E Short Duration Count 80Fauntleroy Way SW sw/o California Ave SW Short Duration Count 70




Bike VolumeLafayette Ave S n/o S Snoqualmie St Short Duration Count 70E Republican w/o 16th Ave E Short Duration Count 70S Othello St w/o 38th Ave S Short Duration Count 6026th Ave SW at Oregon St Continuous Counter 6018th Ave S n/o S Bayfront St Short Duration Count 6022nd Ave n/o E Columbia St Short Duration Count 60NW 58th St w/o 15th Ave NW Short Duration Count 60NW 58th St w/o 26th Ave NW Short Duration Count 50NW 58th St w/o 5th Ave NW Short Duration Count 50NW 92nd St e/o 15th Ave NW Short Duration Count 50NW 90th St e/o Fremont Ave N Short Duration Count 50NE 127th St e/o 25th Ave NE Short Duration Count 5027th Ave NE n/o 130th St Short Duration Count 40N 43rd St w/o Wallingford Ave N Short Duration Count 40E Columbia St e/o 27th Ave Short Duration Count 40S Forest St w/o 6th Ave S (Sodo Trl) Short Duration Count 4026th Ave SW n/o SW Dakota St Short Duration Count 3028th Ave S S/O S Holgate St Short Duration Count 3044th Ave S s/o S Frontenac St Short Duration Count 30N 100th St e/o 1st Ave NW Short Duration Count 30NW 57th St w/o 34th Ave NW Short Duration Count 30NW 90th St e/o 6th Ave NW Short Duration Count 30S Horton St e/o 34th Ave S Short Duration Count 3039th Ave S s/o S Mead St Short Duration Count 30NW 92nd St e/o 1st Ave NW Short Duration Count 201st Ave NW n/o NW 95th St Short Duration Count 2024th Ave E s/o E Aloha St Short Duration Count 2025th Ave E n/o E Thomas St Short Duration Count 2027th Ave NE n/o NE 125th St Short Duration Count 2027th Ave NE n/o NE 133rd St Short Duration Count 2034th Ave S s/o Mt. Baker Blvd EB Short Duration Count 2034th Ave S s/o S Lander St Short Duration Count 2046th Ave S s/o S Holden St Short Duration Count 2046th Ave S s/o S Thistle St Short Duration Count 20Courtland Pl S s/o S Andover St Short Duration Count 20E Columbia St e/o 21st Ave Short Duration Count 20




Bike VolumeE Columbia St e/o 24th Ave Short Duration Count 20E Galer St ne/o Interlaken Pl E Short Duration Count 20Renton Ave S se/o S Bennett St Short Duration Count 2025th Ave NE n/o NE 125th St Short Duration Count 2045th Ave SW n/o SW Dakota St Short Duration Count 10Lafayette Av S n/o S Hinds St Short Duration Count 10S Holly St e/o 51st Ave S Short Duration Count 10S Willow St e/o 42nd Ave S Short Duration Count 10S Willow St w/o MLK Jr Way S Short Duration Count 10NW 92nd St e/o 9th Ave NW Short Duration Count 1025th Ave E s/o E Lee St Short Duration Count 1025th Ave NE n/o NE 140th St Short Duration Count 102nd Ave NW n/o NW 95th St Short Duration Count 1030th Ave S s/o S College St Short Duration Count 10NE 140th St e/o 26th Ave NE Short Duration Count 10Renton Ave S s/o S Findlay St Short Duration Count 10S Ferdinand St e/o Rainier Ave S Short Duration Count 10E Columbia St e/o MLK Jr Way Short Duration Count 10NW 92nd St e/o 6th Ave NW Short Duration Count 10S Director St e/o 46th Ave S Short Duration Count 10N 92nd St e/o Aurora Ave N Short Duration Count 10E Lee St e/o 25th Ave E Short Duration Count 5E Ward St w/o 26th Ave E Short Duration Count 5N 92nd St e/o Fremont Ave N Short Duration Count 5


SPEED DATA

Location DirectionSpeed Limit

85th Percentile

speed

High End Speeder

Percentage Date1 Ave S n/o S King St NB 30 39.7 0.0% 3/9/171 Ave S n/o S King St SB 30 38.8 0.3% 3/9/171 Ave S s/o S Lucile St NB 35 38.6 0.1% 3/16/171 Ave S s/o S Lucile St SB 35 37 0.3% 3/16/1712 Ave E n/o E John St NB 30 27.8 0.0% 1/26/1612 Ave E n/o E John St SB 30 27.6 0.0% 1/26/1612th Ave S, s/o S Weller St NB 30 40.4 0.1% 3/10/1612th Ave S, s/o S Weller St SB 30 37.3 0.1% 3/10/1615 Ave NE s/o NE 75 St NB 35 33.4 0.0% 6/23/1615 Ave NE s/o NE 75 St SB 35 35.8 0.0% 6/23/1615 Ave NE s/o NE Northgate Way NB 30 37.7 0.1% 1/25/1615 Ave NE s/o NE Northgate Way SB 30 36.4 0.0% 1/25/1615 Ave NE s/o NE 145 St NB 30 30.5 0.0% 10/12/1615 Ave NE s/o NE 145 St SB 30 33.8 0.0% 10/12/1615 Ave W n/o W Armory Way NB 35 39.5 0.0% 12/15/1615 Ave W n/o W Armory Way SB 35 38.5 0.0% 12/15/1623 Ave n/o E Cherry St NB 30 ND ND ND23 Ave n/o E Cherry St SB 30 ND ND ND24 Ave NW s/o NW 80 St NB 30 31 0.0% 11/16/1624 Ave NW s/o NW 80 St SB 30 30.8 0.0% 11/16/1625 Ave NE s/o NE 47 St NB 35 32.3 0.0% 8/16/1625 Ave NE s/o NE 47 St SB 35 37.2 0.0% 7/26/163 Ave NW s/o NW 80 St NB 30 30.2 0.0% 11/16/163 Ave NW s/o NW 80 St SB 30 ND 0.0% 1/6/1635 Ave SW n/o SW Roxbury St NB 30 34.3 0.0% 10/4/1635 Ave SW n/o SW Roxbury St SB 30 33 0.0% 10/4/165 Ave NE s/o 145 St Off Rp NB 30 41.7 0.3% 8/16/165 Ave NE s/o 145 St Off Rp SB 30 42.3 0.2% 7/26/1651 Ave S s/o S Bangor St NB 30 25.3 0.0% 6/28/1651 Ave S s/o S Bangor St SB 30 ND ND NDAirport Way S, s/o S Stacy St NB 45 40.4 0.0% 6/28/16Airport Way S, s/o S Stacy St SB 45 38.8 0.0% 6/28/16Airport Wy S n/o S Norfolk St NB 45 56.2 0.7% 6/28/16Airport Wy S n/o S Norfolk St SB 45 55.4 0.5% 6/28/16



85th Percentile

speed

High End Speeder

Percentage DateAurora Ave N s/o N 112 St NB 35 42 5.0% 6/23/16Aurora Ave N s/o N 112 St SB 35 43.7 9.6% 6/23/16Beacon Ave S, n/o S Spokane St NB 30 30.8 0.0% 6/28/16Beacon Ave S, n/o S Spokane St SB 30 29.5 0.0% 6/28/16Boren Av nw/o E Yesler Way NWB 30 33.8 0.0% 1/26/16Boren Av nw/o E Yesler Way SEB 30 34.3 0.1% 1/26/16Broad St sw/o 3 Ave SWB 30 29.1 0.0% 1/26/16Broad St sw/o 3 Ave NEB 30 27 0.0% 1/26/16Broad St ne/o Denny Way NEB 30 32 0.0% 1/26/16Broad St ne/o Denny Way SWB 30 31.2 0.0% 1/26/16California Ave SW s/o SW Charlestown St NB 30 31.8 0.0% 6/30/16California Ave SW s/o SW Charlestown St SB 30 31.8 0.0% 6/30/16California Ave SW s/o SW Erskine St NB 30 29.7 0.0% 8/4/16California Ave SW s/o SW Erskine St SB 30 26.8 0.0% 8/4/16Fauntleroy Way SW s/o SW Alaska St NB 30 ND ND NDFauntleroy Way SW s/o SW Alaska St SB 30 ND ND NDGreenwood Ave N s/o N 80 St NB 25 24.8 0.0% 1/21/16Greenwood Ave N s/o N 80 St SB 25 26.6 0.0% 1/21/16Greenwood Ave N n/o N 107 St NB 35 36.6 0.0% 1/21/16Greenwood Ave N n/o N 107 St SB 35 38.2 0.0% 1/21/16Lake City Way NE sw/o NE 115 St NEB 35 35.9 0.1% 8/16/16Lake City Way NE sw/o NE 115 St SWB 35 36.2 0.1% 7/26/16Lake City Way NE s/o NE 145 St NB 35 37.3 0.1% 8/16/16Lake City Way NE s/o NE 145 St SB 35 37.2 0.1% 7/26/16Leary Way Nw nw/o 3 Ave NW NWB 30 37.3 0.1% 12/15/16Leary Way Nw nw/o 3 Ave NW SEB 30 36.2 0.1% 12/15/16Rainier Ave S s/o M L King Jr Way S NB 35 33.8 0.0% 8/17/16Rainier Ave S s/o M L King Jr Way S SB 35 37.4 0.1% 8/17/16Rainier Ave S nw/o S Holly St NWB 30 39.1 11.7% 8/17/16Rainier Ave S nw/o S Holly St SEB 30 37.1 7.3% 8/17/16Rainier Ave S e/o S 75 St EB 35 38.2 0.1% 8/24/16Rainier Ave S e/o S 75 St WB 35 39.2 0.1% 8/24/16Roosevelt Way NE se/o NE 130* N St NWB 30 ND ND NDRoosevelt Way NE se/o NE 130* N St SEB 30 ND ND NDSand Point Way NE, sw/o NE 65th St NEB 40 40.3 0.0% 10/19/16



85th Percentile

speed

High End Speeder

Percentage DateSand Point Way NE, sw/o NE 65th St SWB 40 41.6 0.0% 10/19/16Stone Way N s/o N 45 St SB 30 24.8 0.0% 2/1/16Stone Way N s/o N 45 St NB 30 25.9 0.0% 2/1/16East Green Lake Way N ne/o N 57 St NEB 30 34.6 0.0% 3/15/16East Green Lake Way N ne/o N 57 St SWB 30 31.6 0.0% 3/15/16E Madison St s/o 17 Ave WB 30 24.2 0.0% 3/16/16E Madison St w/o 17 Ave EB 30 25.4 0.0% 3/29/16E Madison St sw/o 38 Ave E NEB 30 34 0.0% 2/1/16E Madison St sw/o 38 Ave E SWB 30 34.4 0.0% 2/1/16East Mariginal Way S se/o 4 Ave S NWB 35 38.7 0.1% 6/29/16East Mariginal Way S se/o 4 Ave S SEB 35 42.9 0.3% 6/29/16East Marginal Way S se/o Boeing Dr NWB 35 46.4 0.8% 6/29/16East Marginal Way S se/o Boeing Dr SEB 35 45 0.5% 6/29/16E Yesler Way w/o 23 Ave EB 30 25.6 0.0% 2/1/16E Yesler Way w/o 23 Ave WB 30 29.3 0.0% 2/1/16N 45 St w/o Eastern Ave N EB 30 30.2 0.0% 1/21/16N 45 St w/o Eastern Ave N WB 30 30.2 0.0% 1/21/16N 50 St w/o Fremont Ave N EB 30 30.9 0.0% 6/23/16N 50 St w/o Fremont Ave N WB 30 ND ND NDN 85 St w/o Linden Ave N EB 30 34.8 0.0% 9/29/16N 85 St w/o Linden Ave N WB 30 33.7 0.0% 9/29/16N 85th St, w/o Ashworth Ave N EB 30 38.5 0.1% 3/15/16N 85th St, w/o Ashworth Ave N WB 30 37.6 0.1% 3/15/16NE 125 St e/o 35 Ave NE EB 30 33.1 0.0% 2/5/16NE 125 St e/o 35 Ave NE WB 30 34 0.0% 2/5/16NE 50th St, w/o Roosevelt Way NE EB 30 23.9 0.0% 10/19/16NE 50th St, w/o Roosevelt Way NE WB 30 27.6 0.0% 10/19/16NE 65 St w/o 25 Ave NE EB 30 28.1 0.0% 2/5/16NE 65 St w/o 25 Ave NE WB 30 28.4 0.0% 1/25/16NE 65 St e/o 25 Ave NE EB 30 15.6 0.0% 1/25/16NE 65 St e/o 25 Ave NE WB 30 27 0.0% 1/25/16NE 75 St w/o Roosevelt Way NE WB 30 34.2 0.0% 10/19/16NE 75 St w/o Roosevelt Way NE EB 30 33.5 0.0% 10/19/16NE 75 St w/o 30 Ave NE EB 30 31.7 0.0% 1/25/16NE 75 St w/o 30 Ave NE WB 30 34.5 0.0% 1/25/16



85th Percentile

speed

High End Speeder

Percentage DateNE Northgate Way e/o 5 Ave NE EB 30 ND ND NDNE Northgate Way e/o 5 Ave NE WB 30 ND ND NDS Genesee St e/o 38 Ave S EB 25 26.3 0.0% 8/24/16S Genesee St e/o 38 Ave S WB 25 ND ND NDS Lucile St e/o 12 Ave S EB 30 35.2 0.0% 4/5/16S Lucile St e/o 12 Ave S WB 30 34.1 0.0% 4/5/16S Michigan St e/o 6 Ave S EB 35 37.2 0.1% 7/21/16S Michigan St e/o 6 Ave S WB 35 36.5 0.2% 7/21/16SW Barton St w/o 31 Ave SW EB 30 32.1 0.0% 6/30/16SW Barton St w/o 31 Ave SW WB 30 ND ND NDWest Marginal Way SW nw/o 2 Ave SW NWB 35 41.8 0.2% 7/27/16West Marginal Way SW nw/o 2 Ave SW SEB 35 41.4 0.2% 7/27/16Mercer St w/o Dexter Ave N (North Rd) EB 30 ND ND NDMercer St w/o Dexter Ave N (South Rd) EB 30 ND ND NDM L King *Er Way S nw/o S Edmunds St NWB 35 35.6 0.1% 6/29/16M L King *Wr Way S nw/o S Edmunds St SEB 35 ND ND NDM L King *Er Way S s/o S Norfolk St NB 35 44.4 1.2% 8/17/16M L King *Wr Way S s/o S Norfolk St SB 35 ND ND NDBeacon Ave S, s/o S Spokane St NB 30 35.1 0.0% 6/28/16Beacon Ave S, s/o S Spokane St SB 30 34.4 0.0% 6/28/16


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 N/A 13,641 11,603 2,038

Fatal/Serious CollisionsYear Fatal Serious Injury Total Serious Fatal2005 28 206 2342006 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 20 171 191


Bicycle Collisions

YearTotal

Collisions Serious InjuryPossible/

Evident InjuryFatal

CollisionsFatal and Serious Injury Collisions

2005 293 24 223 0 242006 365 31 280 2 332007 356 47 263 1 482008 365 29 280 2 312009 383 23 297 4 272010 364 23 292 1 242011 362 24 295 2 262012 387 24 319 1 252013 421 25 340 2 272014 380 21 316 1 222015 483 25 404 1 262016 440 26 352 3 29

Pedestrian Collisions

YearTotal

Collisions Serious InjuryPossible/

Evident InjuryFatal

CollisionsFatal and Serious Injury Collisions

2005 477 46 424 7 532006 567 48 510 9 572007 487 37 445 5 422008 470 43 418 9 522009 454 45 398 11 562010 496 43 448 5 482011 393 36 355 2 382012 469 44 417 8 522013 396 48 339 9 572014 473 52 360 6 582015 522 46 412 7 532016 553 61 428 5 66


2016 ALL COLLISIONS

Serious Injury Collision 1%

Fatality Collision 0%

2016 COLLISION SEVERITY

Injury Collision27%

Property Damage Only Collision

58%

Unknown 14%

2016 Total Collision by State Collision TypeCount

All Other Non-Collisions 3Bicycle 440Breakage Of Any Part Of the Vehicle Resulting In Injury or in Further Property Damage 5Domestic Animal Other (Cat, Dog etc) 2Entering At Angle 2,261Fire Started In Vehicle 1From Opposite Direction 879From Same Direction 3,644Not Stated 5Parked Car 2,229Person Fell, Jumped, or was Pushed From Vehicle 1Left Turn 66Right Turn 104Struck Fixed Object 883Struck Other Object 29Train 14Pedestrian 553


Contributing Circumstances for All 2016 Collisions

Fatality Collision

Serious Injury

CollisionInjury

Collision

Property Damage Only

Collision TotalApparently Asleep 14 21 35Apparently Fatigued 6 8 14Apparently Ill 1 5 4 10Did not Grant Right of Way to Pedestrian 2 16 165 19 202Did not Grant Right of Way to Vehicle 19 648 903 1570Disregard Flagger/Officer 3 1 4Disregard Stop and Go Light 7 124 134 265Disregard Stop Sign/Flashing Red 3 81 84 168Disregard Yield Sign/Flashing Yellow 15 14 29Driver Adjusting Audio or Entertainment System

1 3 4

Driver Distractions Outiside Vehicle 17 20 37Driver Eating or Drinking 2 2 4Driver Interacting with passengers, Animals, or Objects Inside Vehicle

9 14 23

Driver Not Distracted 3 19 319 569 910Driver Operating Handheld Telecommunications Device

7 15 22

Driver Operating Hands-free Wireless Telecommunications Device

1 5 6

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

5 5 10

Exceeding Reasonable and Safe Speed 1 6 114 183 304Exceeding Stated Speed Limit 5 3 20 25 53Failing To Signal 6 2 8Failure to Use Xwalk 1 6 29 3 39Following Too Closely 4 272 321 597Headlight Violation 1 1Improper Backing 15 197 212Improper Parking Location 15 15Improper Passing 5 20 87 112Improper Signal 1 1 5 7Improper Turn 12 93 265 370Improper U-Turn 1 30 47 78Inattention 1 19 818 1547 2,386None 10 133 3,096 5,955 9,196


Contributing Circumstances for All 2016 Collisions

Fatality Collision

Serious Injury

CollisionInjury

Collision


Collision TotalOn Wrong Side OF Road 2 17 16 35Operating Defective Equipment 1 25 79 105Other 6 27 473 1,657 2,163Other Driver Distractions Inside Vehicle 1 10 14 25Over Center Line 2 23 39 64Under the Influence of Alcohol 3 12 129 275 419Under the Influence of Drugs 1 10 20 31Unknown Driver Distraction 3 23 277 962 1,265

2016 FatalitiesLocation Collision Date Collision Type

Beacon Ave S and S McClellan St 1/5/2016 PedBroadway between E Denny Way and E Howell St 3/8/2016 VehicleBoren Ave and James St 3/16/2016 VehicleAirport Way S near 8th Ave S 3/25/2016 MotorcycleS Lander St, 200 block 4/30/2016 PedMLK Jr Way S between S Jackson St and S King St 4/30/2016 Ped13th Ave and E Yesler 5/13/2016 Bike5th Ave S and S Main St 5/14/2016 BikeNW Market St near NW 55th St 5/29/2016 VehicleSW Spokane east of SW Admiral Way 7/1/2016 VehicleSR-99 ramp to West Seattle Bridge 9/10/2016 MotorcycleRoosevelt Way NE and NE 65th St 9/13/2016 Ped1st Ave NE near NE 95th St 9/21/2016 BikeBelmont Ave E and Bellevue Pl E 9/21/2016 PedMLK Jr Way S, 9200 block 10/24/2016 Vehicle24th Ave NW and NW Market St 11/10/2016 VehicleNE Northgate Way btwn 3rd Ave NE and 5th Ave NE 11/11/2016 VehicleNW 85th St btwn 3rd Ave NW and 6th Ave NW 11/15/2016 Vehicle15th Ave S and S Spokane St 11/18/2016 Vehicle12th Ave SW and SW Thistle St 12/4/2016 Motorcycle



2016 PEDESTRIAN COLLISIONS

Collision Location CountMid-Block 180Intersection 366Other 7Total 553

Pedestrian - Involved Collision Rate per Million Inhabitants

Year Pedestrian Collisions

Seattle Population

Pedestrian Collisions Per Capita

Pedestrian Collisions Per 100,000

2006 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 79

Other 1%

2016 PEDESTRIAN COLLISION LOCATIONS

Intersection67%

Mid-Block33%


Injury Class of Pedestrians Involved in 2016 Collisions by Facility Type

Facility FatalSerious Injury

Possible Injury

Non-Serious Injury (Evident

Injury) No Injury Unknown TotalMarked Cross Walk 2 27 104 72 10 12 227Other 1 2 5 1 9Roadway 1 18 34 26 7 4 90Shoulder 1 1 2Sidewalk 3 18 5 2 3 31Unmarked Crosswalk 1 3 14 10 5 1 34Walkway 3 3 1 7

Injury Class of Pedestrians Involved in Collisions in 2016

Age FatalSerious Injury

Possible Injury

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

14 and Under 6 8 4 1 1915 - 24 1 6 21 18 1 3 5025 - 34 10 57 32 8 1 10835 - 34 6 29 15 3 1 5445 - 54 5 27 14 3 1 5055 - 64 1 15 13 16 1 4 5066 and Over 2 6 18 12 2 1 41Not Listed 5 9 3 2 10 29


FACILITY THE PEDESTRIAN WAS USING FOR 2016 COLLISIONS

Marked Crosswalk

Other

Roadway

Shoulder

Sidewalk

Unmarked Crosswalk

Walkway

0%

57%23%

8%

8%

2%

2%

GENDER OF PEDESTRIANS IN 2016 COLLISIONS

47% Male

47% Female

6%Not

Stated


2016 PEDESTRIAN COLLISION SEVERITY BY HOUR OF THE DAY

Unknown


Injury

Serious Injury

Fatality

0

10

20

30

40

50

6012

AM

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

11 P

M


Pedestrian Collision Severity by Hour of Day in 2016

HourFatality

CollisionSerious Injury

CollisionInjury

CollisionProperty Damage

Only Collision Unknown Total12 AM 1 5 18 2 7 331 AM 1 5 62 AM 1 10 113 AM 2 1 34 AM 1 15 AM 1 5 66 AM 18 187 AM 2 25 2 298 AM 5 12 4 219 AM 1 3 18 3 25

10 AM 1 2 17 3 2311 AM 1 18 1 2012 PM 7 22 2 311 PM 1 30 4 352 PM 3 23 3 293 PM 1 3 20 2 264 PM 5 28 1 345 PM 4 42 5 516 PM 6 36 6 487 PM 1 21 3 258 PM 2 18 3 239 PM 3 14 4 21

10 PM 4 16 1 2111 PM 1 10 2 13Total 5 61 428 52 7 553


Pedestrian Collision Severity by Day of Week in 2016

Day of WeekFatality


CollisionInjury


Only Collision Unknown TotalSunday 5 31 5 4 45Monday 14 65 8 87Tuesday 1 9 75 5 2 92Wednesday 1 6 71 6 84Thursday 1 12 60 13 86Friday 1 9 76 9 1 96Saturday 1 6 50 6 63Total 5 61 428 52 7 553

2016 PEDESTRIAN COLLISION SEVERITY BY DAY OF WEEK

Unknown


Injury

Serious Injury

Fatality

Sunday Monday Tuesday Wednesday Thursday Friday Saturday0

20

40

60

80

100

120


Pedestrian Collision Severity by Month in 2016

MonthFatality


CollisionInjury


Only Collision Unknown TotalJan 1 7 48 5 2 63Feb 2 40 4 46Mar 4 32 4 1 41Apr 2 4 28 4 1 39May 3 25 1 29Jun 7 21 6 34Jul 2 27 4 33Aug 9 30 2 41Sep 2 5 37 4 1 49Oct 7 54 6 67Nov 8 39 5 1 53Dec 3 47 7 57Total 5 61 428 52 4 553

2016 PEDESTRIAN COLLISION SEVERITY BY MONTH

Unknown


Injury

Serious Injury

Fatality

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

1020304050607080


Vehicle Actions in Pedestrian Collisions in 2016Fatality


CollisionInjury


Only Collision Unknown TotalUnknown 1 4 12 1 4 22Bicycle 1 11 12Entering At Angle 2 2From Opposite Direction - One Left Turn - One Straight

2 2

Vehicle Backing Hits Pedestrian

1 5 4 10

Vehicle Going Straight Hits Pedestrian

2 35 136 21 194

Vehicle Hits Pedestrian - All Other Actions

1 5 1 7

Vehicle Turning Left Hits Pedestrian

2 13 119 9 143

Vehicle Turning Right Hits Pedestrian

1 62 8 71

Injury Class of Pedestrians Involved in 2016 Collisions by Weather

Weather ConditionFatality


CollisionInjury


Only Collision TotalClear or Partly Cloudy 3 34 242 29 308Other 1 1 2Overcast 1 10 48 7 66Raining 11 113 12 136Snowing 1 1Unknown 2 9 3 14


2016 Pedestrian Collisions by Light ConditionsLight Condition Total

Dark - No Street Lights 6Dark - Street Lights Off 5Dark - Street Lights On 183Dawn 9Daylight 291Dusk 22Other 1Unknown 36Total 553

2016 Pedestrian Collisions by Road Condition

Road ConditionFatality


CollisionInjury


Only Collision TotalDry 3 39 262 31 335Ice 1 1Snow/Slush 1 1Standing Water 1 1Unknown 1 1 8 3 13Wet 1 17 142 16 176


2016 BICYCLE COLLISIONS

2016 BICYCLE COLLISION LOCATIONS

Mid-block47%

Intersection53%

Contributing Circumstance for Cyclists in 2016 Bicycle Collisions

Contributing Circumstance FatalSerious Injury

Possible Injury

Non-Serious Injury

(Evident Injury) No Injury Unknown Total

Unknown 2 7 4 3 2 18Did not Grant Right of Way to Vehicle

6 4 3 1 14

Disregard Stop and Go Light 1 1 1 1 1 5Disregard Stop Sign/Flashing Red

1 3 1 5

Driver Distractions Outiside Vehicle

1 1

Driver Not Distracted 3 3 7 2 15Exceeding Reasonable and Safe Speed

1 2 3

Following Too Closely 1 1 2Improper Passing 1 1 1 3Improper Turn 2 2 1 5Inattention 3 2 3 8None 2 9 41 62 9 3 126On Wrong Side OF Road 1 2 3Operating Defective Equipment

1 1

Other 1 10 13 2 3 29Unknown Driver Distraction 3 5 1 9


Gender of Cyclists Involved in 2016 Collisions

Gender FatalitySerious Injury

Possible Injury


Not Noted 1 12 5 4 197 219Male 2 15 52 77 14 8 168Female 1 6 17 24 5 53

GENDER OF CYCLISTS INVOLVED IN 2016 COLLISIONS

Male68%

Female21%

NoneNoted11%



CYCLIST INJURY SEVERITY IN 2016 COLLISIONS

Possible Injury46%

Non-Serious Injury (Evident Injury)

19%

No Injury16%

Unknown15%

Serious Injury4%


Age of Cyclists Involved in 2016 Collisions

Age FatalitySerious Injury

Possible Injury


13 and Under 2 1 2 517 - 24 1 13 14 4 3225 - 34 10 26 34 7 1 7835 - 44 5 13 23 1 2 4445 - 54 2 3 14 12 2 1 3455 - 64 2 4 10 1 2 1965 - Over 1 3 2 6Not Stated 1 8 9 4 6 28

0

2

4

6

8

10

12

14

6 12 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 54 56 58 61 64 66 76

AGE OF CYCLISTS INVOLVED IN 2016 COLLISIONS

Unknown

No Injury

Non Serious Injury(Evident Injury)

Possible Injury

Serious Injury

Fatality


Bicycle Collisions by Month in 2016

MonthFatality


CollisionInjury


Only Collision Unknown TotalJan 1 20 4 25Feb 19 5 24Mar 3 18 6 1 28Apr 3 30 5 1 39May 1 2 43 4 50Jun 1 36 2 39Jul 2 39 5 46Aug 5 42 6 53Sep 1 3 40 6 50Oct 2 29 6 37Nov 2 21 4 27Dec 2 15 5 22Total 2 26 352 58 2 440

Unknown


Injury

Serious Injury

Fatality

0

10

20

30

40

50

60

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

2016 BICYCLE COLLISIONS BY MONTH


Bike Collision Severity by Hour of Day in 2016

HourFatality


CollisionInjury


Only Collision Unknown Total12 AM 15 2 2 191 AM 2 23 AM 1 14 AM 2 25 AM 1 2 1 46 AM 1 9 2 127 AM 22 3 258 AM 2 29 4 359 AM 21 2 23

10 AM 1 13 1411 AM 19 1912 PM 1 17 2 201 PM 2 24 6 322 PM 1 16 2 193 PM 25 254 PM 1 22 6 295 PM 9 46 11 666 PM 2 27 9 387 PM 4 18 3 258 PM 6 1 79 PM 1 6 1 8

10 PM 1 1 5 3 1011 PM 5 5Total 2 26 352 58 2 440


Unknown


Injury

Serious Injury

Fatality

0

10

20

30

40

50

60

702016 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


Bike Collision Severity of the Day in 2016

DayFatality


CollisionInjury

CollisionProperty Damage Only

Collision Unknown TotalSunday 17 4 21Monday 4 45 8 1 58Tuesday 7 68 9 84Wednesday 1 4 63 13 1 82Thursday 7 53 5 65Friday 3 76 14 93Saturday 1 1 30 5 37Total 2 26 352 58 2 440

Unknown


Injury

Serious Injury

Fatality

0

10

20

30

40

50

60

70

80

90

100

Sun Mon Tues Wed Thurs Fri Sat

BIKE COLLISION SEVERITY BY DAY 2016


2016 Injury Class of Cyclists by Facility Type

Facility Type FatalitySerious Injury

Possible Injury


Unknown 2 1 3 1 1 8Designated Bike Route

9 16 39 5 4 73

Marked Cross Walk

2 8 4 6 20

Other 1 1 2Roadway 2 8 43 45 10 6 114Shoulder 1 1 4 6Sidewalk 7 6 13Unmarked Crosswalk

2 4 1 7

Walkway 2 1 3

FACILITY TYPE FOR CYCLISTS INVOLVED IN 2016 COLLISIONS

Designated Bike Route

Marked Crosswalk

Other

Roadway

Shoulder

Sidewalk

Unmarked Crosswalk

Walkway

31%

8%48%

1%

1%

3%

3%5%


Injury Class of Cyclists in 2016 Collisions by Weather

WeatherFatality


CollisionInjury


Only Collision TotalBlowing Sand or Dirt or Snow 1 1Clear or Partly Cloudy 1 20 251 38 310Other 1 1 1Overcast 1 2 56 8 67Raining 3 27 8 38Snowing 1 1Unknown 1 4 1 6

Clothing Visibility for Cyclists Involved in 2016 Collisions by Facility Type

Clothing FatalitySerious Injury

Possible Injury


Unknown 2 3 5 4 1 3 17Dark 1 2 17 17 3 3 43Light 2 10 18 5 2 37Mixed 12 39 53 12 4 120Other Reflective Apparel - Shoes, Patches

3 5 9 1 18

Retro - 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 12.2017

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 www.seattle.gov/transportation/trafficdata.htm.

Documents

Seattle Department of Transportation 2017 TRAFFIC REPORT · vehicle average daily traffic (ADT). Volumes are trending upward with traffic counts increasing since 2012. Traffic volumes