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9/8/2011 1 PeiSung Lin, Ph.D., P.E., PTOE, FITE Achilleas Kourtellis, Ph.D. Center for Urban Transportation Research (CUTR) University of South Florida Florida Motorcycle Safety Coalition CUTR Webinar Series Florida’s gro ing pop lation and pop larit ith Florida’s growing population and popularitywith motorcycle enthusiasts makes motorcycle safety an important issue The number of motorcycle crashes and injuries in Florida more than doubled between the late1990s and 2008 It is the priority of the Florida Motorcycle Safety It is the priority of the Florida Motorcycle Safety Coalition to reduce motorcycle related fatalities, injuries, and crashes in Florida

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Page 1: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

1

Pei‐Sung Lin, Ph.D., P.E., PTOE, FITE

Achilleas Kourtellis,  Ph.D.

Center for Urban Transportation Research (CUTR)University of South Florida

Florida Motorcycle Safety CoalitionCUTR Webinar Series

Florida’s gro ing pop lation and pop larit   ith  Florida’s growing population and popularity with motorcycle enthusiasts makes motorcycle safety an important issue

The number of motorcycle crashes and injuries in Florida more than doubled between the late‐1990s and 2008

It is the priority of the Florida Motorcycle Safety  It is the priority of the Florida Motorcycle Safety Coalition to reduce motorcycle related fatalities, injuries, and crashes in Florida 

Page 2: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

2

Identify hot spot locations in the top 10 Florida counties with the highest motorcycle crashes 

Perform motorcycle crashes analysis at these hot spot locations

Determine contributing causes of motorcycle crashes in Determine contributing causes of motorcycle crashes in order to implement proper and effective improvements 

YearLee County

Brevard County

Duval County

Palm Beach County

Volusia County

Pinellas County

Orange County

Hillsb. County

Broward County

Miami-Dade County

2005 228 257 394 465 600 528 554 629 773 1,228

2006 240 321 474 417 637 632 627 792 788 1,275

2007 281 291 458 508 565 580 642 697 855 1,334

2008 284 334 518 492 593 662 659 707 845 1,270

Total 1,033 1,203 1,844 1,882 2,395 2,402 2,482 2,825 3,261 5,107

Reviewed82

(7.9%)115

(9.6%)170

(9.2%)145

(7.7%)437

(18.3%)210

(8.7%)216

(8.7%)134

(4.7%)252

(7.7%)558

(10.9%)

• Locations chosen for review based on frequency of neighboring crashes

• Six road environment variables checked: visibility, road conditions, road surface conditions, road type, lighting conditions, weather conditions

• Chosen crashes are investigated (crash reports) to establish contributing factors

Page 3: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

3

1200

1400

600

800

1000

1200

torcycle related crashes Lee County

Brevard County

Duval County

Palm Beach County

Volusia County

Pinellas County

Orange County

0

200

400

2005 2006 2007 2008

Mot

Hillsborough County

Broward County

Miami‐Dade County

450

500

150

200

250

300

350

400

Number of Moto

rcycle Crash

es

No endorsement 

Injury 

Fatal 

One motorcycle only 

0

50

100

N

Page 4: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

4

All motorcycle related crashes are plotted on map using ArcGIS

A circle of 400ft (radius) from each crash is created

Highest concentration of crashes (clusters) are selected

Hot spot crashes identified and police reports are reviewed

Crash contributing factors are identified and maps are created

Page 5: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

5

Clusters

6x71x91x121X19

Responsible party for crash Human factor in crashes

39%

55%

6%

94%

5%

1%6%

Rider at fault

Driver at fault

Not human error

Human error

Loose sand, gravel, water on road, dip

Motorcycle malfuntion

Page 6: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

6

6%

Rider at fault causes

9%12%

Driver at fault causes

16%

16%

10%

6%13%

10%

6%

23%9%

19%

30%

7%

7%

7%

Careless driving

Improper turn

Alcohol ‐ under influence

Alcohol & drugs under influence

Following too closely

Failed to maintain equip./veh.

Driver distraction

Other

Careless driving

Failed to yield right of way

Improper lane change

Improper turn

Following too closely

Disregarded traffic signal

Driver distraction

Other

Page 7: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

7

ClustersClusters

3x73x82x101x121x131x15

Responsible party for crash Human factor in crashes

46%

48%

5%

1%

95%

2%

3%

5%

Rider at fault

Driver at fault

Not human error

Pedestrian/Bicyclist

Human error

Struck object, oil on road

Motorcycle malfuntion

Page 8: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

8

8%

Driver at fault causes

4%8%

Rider at fault causes

26%

38%4%

8%

6%

4% 6%8%

Careless driving

34%

9%

4%

8%8%4%

4%

17%

Careless driving Careless driving

Failed to yield right of way

Improper lane change

Improper turn

Following too closely

Disregarded traffic signal

Disregarded stop sign

Other

Careless driving

Failed to yield right of way

Improper backing

Improper lane change

Improper turn

Alcohol ‐ under influence

Following too closely

Exceeded safe speed limit

Improper passing

Other

Page 9: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

9

Clusters

5x102x121x141x171x201x211x24

Responsible party for crash Human factor in crashes

48%

45%

6%

1%

94%5%

1%6%

Rider at fault

Driver at fault

Not human error

Pedestrian/Bicyclist

Human error

Loose sand, gravel, water on road, dip

Motorcycle malfuntion

Page 10: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

10

2%

Rider at fault causes

10%3% 3%

3%

5%

Driver at fault causes

22%

3%

7%

5%

5%10%5%

14%

14%

2% 11%10%

30%

3%

22%

10%

3%3%

1%4%

5

Careless driving Failed to yield right of way

Improper lane change Improper turn

Alcohol ‐ under influence Following too closely

Disregarded traffic signal Exceeded safe speed limit

Exceeded stated speed limit Fleeing police

Driver distraction Other

Careless driving Failed to yield right of way

Improper backing Improper lane change

Improper turn Following too closely

Disregarded traffic signal Exceeded safe speed limit

Disregarded stop sign Failed to maintain equip./veh.

Improper passing Obstructing traffic

Driver distraction

Page 11: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

11

lClusters

6x91x111x122x191x30

Responsible party for crash Not human error causes

44.1%

49.7%

5.6% 0.7%

94.4%

0.7%

3.5%

1.4%5.6%

Rider at fault

Driver at fault

Not human error

Bicyclist/pedestrian at fault

Human error

Motorcycle malfunction

Pavement deformity

wet road

Page 12: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

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6%4% 7%

3%

Driver at fault causes

5%

Rider at fault causes

49%

18%

7%

6%

4 7%

35%

9%

3%

16%

14%

5%

13%

Careless driving

Failed to yield right of way

Improper lane change

Improper turn

Disregarded traffic signal

Disregarded stop sign

Driver distraction

Other

Careless driving

Failed to yield right of way

Improper lane change

Following too closely

Exceeded safe speed limit

Disregarded stop sign

Driver distraction

Other

Page 13: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

13

Clusters

1 x 182x221x2441x251x291x341x571x631x143

Human factor in crashesResponsible party for crash

95%

3%

2%

5%

45%

47%

5% 3%

Human error

Loose sand, gravel, water, dip on road

Motorcycle malfunction

Rider at fault

Driver at fault

Not human error

Pedestrian/Bicyclist

Page 14: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

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1%

3% 2%7%

Rider at fault causes

1%6%

2% 2%

Driver at fault causes

56%

8%4%

2%

6%

4%

7%

1%

Careless driving

32%

39%

2%

8%

8%

6%

Careless drivingFailed to yield right of way

Improper lane change

Improper turn

Followed too closely

Disregarded traffic signal

Exceeded safe speed limit

Disregarded stop sign

Improper passing

Exceeded stated speed limit

Other

Careless driving

Failed to yield right of way

Improper backing

Improper lane change

Improper turn

Alcohol/drugs‐ under influence

Disregarded traffic signal/stop sign

Improper passing

Driving wrong side/way

Page 15: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

15

Clusters

1x141x151x161x161x172x211x251x261x271x28

Responsible party for crash Human factor in crashes

46%

50%

3% 1%

97%

2%

1%

3%

Rider at fault

Driver at fault

Not human error

Pedestrian/Bicyclist

Human error

loose sand, gravel, water on road, dip

motorcycle malfuntion

Page 16: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

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6%3%3%

8%

Rider at fault causes

4%

2%

4%

1%

Driver at fault causes

6%

9%

5%

5%

20%

6%

23%

3%4%

5%

8% 4%

25%

5%

25%

19%

9%

6%4%

Careless driving Failed to yield right of way

Improper lane change Improper turn

Alcohol ‐ under influence Following too closely

Disregarded traffic signal Exceeded safe speed limit

Disregarded stop sign Improper passing

Exceeded stated speed limit Driver distraction

Other

Careless driving Failed to yield right of way

Improper backing Improper lane change

Improper turn Following too closely

Disregarded traffic signal Exceeded safe speed limit

Improper passing Driver distraction

Page 17: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

17

Clusters

2x13

2x14

1x161x16

1x19

1x22

1x29

1x32

1 x 44

Not human error causesResponsible party for crash

96%

1%

2% 1%

4%

45%

50%

4% 1%

Human error

Motorcycle malfunction

Debris on road

Wet road

Rider at fault

Driver at fault

Not human error

Bicyclist/pedestrian at fault

Page 18: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

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2%3%

5%

Rider at fault causes

6%

2%2% 4%

Driver at fault causes

49%

3%

8%

9%2%

8%

11%

Careless driving

Failed to yield right of way

24%

18%

6%

29%

9%

6%

Careless driving

Failed to yield right of wayImproper lane change

Followed too closely

Disregarded traffic signal

Exceeded safe speed limit

Exceeded stated speed limit

Driving wrong side/way

Fleeing police

Other

Failed to yield right of way

Improper backing

Improper lane change

Improper turn

Followed too closely

Disregarded traffic signal

Disregarded stop sign

Other

Page 19: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

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Clusters

1x151x151x161x171x181x191x241x25

Not human error causesResponsible party for crash

96%

3%

1%

4%

37%

59%

4%

Human Error

Sand on roadway

Tire blow out

Rider at fault

Driver at fault

Not human error

Page 20: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

20

Driver at fault causesRider at fault causes

63%

21%

16%

41%

31%

14%

14%

Violated right of way

Rear‐ended stopped motorcycle

Other reason

Exceed speed limit

Failed to stop for traffic ahead

Violated right of way

Other reason

Page 21: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

21

Clusters

4x174x171x183x191x231x251x301x31

Responsible party for crash Not human error causes

56.9%

39.4%

2.4% 1.2%

97.6%0.4%

1.6% 0.4%2.4%

Rider at fault

Driver at fault

Not human error

Bicyclist/pedestrian at fault

Human error

Motorcycle malfunction

Debris on road

Wet road

Page 22: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

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2%4%

3%

%

Driver at fault causesRider at fault causes

18%

4%

35%

14%

10%

6%

44%

19%

3%

9%

3%11%

3%

24%

8%

4%

16%

Careless driving Failed to yield right of way

Improper backing Improper lane change

Improper turn Following too closely

Disregarded traffic signal Disregarded stop sign

Improper passing Other

Careless driving Failed to yield right of way

Improper lane change Improper turn

Following too closely Disregarded traffic signal

Exceeded safe speed limit Improper passing

Exceeded stated speed limit Other

Page 23: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

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Clusters

1x211x222x232x231x281x291x331x471x611x294294

Responsible party for crash Not human error causes

50%

45%

4% 1%

96%

2%

1%1%

4%

Rider at fault

Driver at fault

Not human error

Bicyclist/pedestrian at fault

Human error

Motorcycle malfunction

Debris on road

Wet road

Page 24: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

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1%

Driver at fault causesRider at fault causes

15%

10%

22%

9%

16%

6%

5%

16%16%

18%

9%

6%7%4%

16%

7%

9%

8%

Careless driving Failed to yield right of way

Improper lane change Improper turn

Following too closely Disregarded traffic signal

Disregarded stop sign Improper passing

Other

4%

Careless driving Failed to yield right of way

Improper lane change Improper turn

Following too closely Disregarded traffic signal

Exceeded safe speed limit Improper passing

Exceeded stated speed limit Other

2,319 motorcycle crashes identified and reviewed in hot spots in 10 hi h   i i   ihighest priority counties

Miami‐Dade Broward Hillsborough Orange Pinellas 40%

50%

60%

70%

80%

90%

100%

Rider at fault

Driver at fault

N  h  

Volusia Palm Beach Duval Brevard Lee

0%

10%

20%

30% Not human error

Ped/Bicycle at fault

Page 25: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

25

Responsible party for crash Not human error causes

47%

48%

4% 1%

96%

3%

1%

4%

Rider at fault

Driver at fault

Not human error

Pedestrian/Bicyclist at fault

Human Error

Loose sand, gravel, water, oil, dip, object on road

Motorcycle mulfunction

Top 3 contributing causes for rider at fault crashes:Top 3 contributing causes for rider at fault crashes:

1. Careless riding

2. Exceeded stated or safe speed limit

3. Failed to yield right of way

Top 3 contributing causes for driver at fault crashes:

l d ld h f1. Failed to yield right of way

2. Improper lane change

3. Improper turn

Page 26: Motorcycle Crash Analysis at Hot Spot Locations (CUTR webinar … · 4 All motorcycle related crashes are plotted on map using ArcGIS A circle of 400ft (radius) from each crash is

9/8/2011

26

Florida Motorcycle Safety Coalition, established in 2008, has adopted a comprehensive motorcycle safety program to improve motorcycle comprehensive motorcycle safety program to improve motorcycle safety in Florida.

The efforts of the Florida Motorcycle Safety Coalition has significantly contributed to the reduction of motorcycle crashes in Florida. 

Motorcycle Crash Statistics 2008 2009 2008‐>2009 2010 2009‐>2010

M t li t kill d 502 376 25 10% 350 6 91%Motorcyclists killed 502 376 ‐25.10% 350 ‐6.91%

Motorcyclists injured 8519 7435 ‐12.70% 6686 ‐14.07%

Motorcycle crashes 9618 8313 ‐13.60% 7484 ‐9.97%

Source: Florida Department of Highway Safety and Motor Vehicles