using nhts data as a measure of exposure data meg sweeney* lee giesbrecht jonaki bose bureau of...

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Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while Meg Sweeney was employed at the Bureau of Transportation Statistics

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Number of Fatal, Single-Vehicle Crashes per 100,000 Registered Vehicles, 2001 Sources: Subramanian, R. (2004). Analysis of crashes involving 15-passenger vans (NHTSA Technical Report DOT HS ). Washington, DC; Mathematical Analysis Division, National Center for Statistics and Analysis, National Highway Traffic Safety Administration. NCSA, NHTSA, FARS (Final), 2002 (ARF) Files and R.L. Polk and Company NVPP Registration Data

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Page 1: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Using NHTS Data as a Measure of Exposure Data

Meg Sweeney*Lee Giesbrecht

Jonaki BoseBureau of Transportation Statistics

This work was completed while Meg Sweeney was employed at the Bureau of Transportation Statistics

Page 2: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Accident Rate

Accident MeasureNumber of Fatal AccidentsNumber of Large Truck AccidentsNumber of Injuries

Exposure MeasureNumber of Registered Vehicles Number of Licensed Drivers

Page 3: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Number of Fatal, Single-Vehicle Crashes per 100,000 Registered Vehicles, 2001

02468

10121416

PassengerCars

SUVs PickupTrucks

15-Passenger

Vans

Other Vans

Vehicle Type

Rat

e of

cra

shes

per

100

K

regi

ster

ed v

ehic

les

Sources: Subramanian, R. (2004). Analysis of crashes involving 15-passenger vans (NHTSA Technical Report DOT HS 809 735.). Washington, DC; Mathematical Analysis Division, National Center for Statistics and Analysis, National Highway Traffic Safety Administration.NCSA, NHTSA, FARS 1990-2002 (Final), 2002 (ARF) Files and R.L. Polk and Company NVPP Registration Data

Page 4: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Vehicle Involvement Rate in Fatal Crashes per 100,000 Registered 15-Passenger Vans

in the U.S., 1990-2001

010203040506070

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

Year

Vehi

cle

Invo

lvem

ent R

ate

per

100K

Reg

iste

red

Vans

Sources: Subramanian, R. (2004). Analysis of crashes involving 15-passenger vans (NHTSA Technical Report DOT HS 809 735.). Washington, DC; Mathematical Analysis Division, National Center for Statistics and Analysis, National Highway Traffic Safety Administration.R.L. Polk & Co., National Vehicle Population Profile (NVPP), 1990-2002 and NCSA, NHTSA, FARS 1990-2002 (Final), 2002 (ARF) Data.

Page 5: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Need for Additional Exposure Data

• Time of Day• Driver Age

• National Household Travel Survey

Page 6: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

National Household Travel Survey

• Computer assisted telephone interview• Collected April 2001 to May 2002• Includes demographic information on

households, people, and vehicles• Detailed information on daily and long

distance travel

Page 7: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

NHTS Exposure Measure

• Estimated number of drivers on the road during a given hour

• Daily travel data• Weighted estimates

Page 8: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Drivers on the road (NHTS)

0100000002000000030000000400000005000000060000000

Time of day

Num

ber

of d

rive

rs o

n th

e ro

adw

ay

Page 9: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Accident Rate

Number of drivers involved in fatal (FARS) or fatal, injury, or property damage (GES) accidents in a given hour

Estimated number of drivers on the roadway during that hour

Page 10: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Fatality Analysis Reporting System (FARS)

• Census of all highway accidents • Death of an occupant of a vehicle or

nonmotorist within 30 days of crash• Motor vehicle traveling on trafficway

customarily open to public• Information on the crash, vehicles and

people involved

Page 11: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Fatal accident involvement (FARS)

0500

100015002000250030003500400045005000

Time of day

Num

ber

of d

rive

rs in

volv

ed in

ac

cide

nts

Page 12: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

General Estimates System (GES)

• Nationally representative probability sample selected from all-police reported crashes

• To be eligible for selection:– Completed PAR– Involve at least one motor vehicle traveling on

trafficway – Result in property damage, injury, or death

• Information on crash, drivers, and vehicles• Weighted data

Page 13: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Injury, Property, and Fatal Accident Involvement (GES)

0200000400000600000800000

100000012000001400000

Time of day

Num

ber

of d

rive

rs in

volv

ed in

ac

cide

nts

Page 14: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

FARS and GES Analysis

• Drivers of passenger cars and motorcycles • Aged 15 years and older • April 2001 to May 2002• Accident types:

– Total accidents– Fatigue-related accidents– Failure to yield accidents– Alcohol-related accidents

Page 15: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Fatal Accidents

01000

20003000

40005000

0000

-0059

0200

-0259

0400

-0459

0600

-0659

0800

-0859

1000

-1059

1200

-1259

1400

-1459

1600

-1659

1800

-1859

2000

-2059

2200

-2259

Time of day

Driv

ers

invo

lved

in

fata

l acc

iden

ts

00.0005

0.0010.0015

0.0020.0025

Driv

ers

invo

lved

in

fata

l acc

iden

ts/d

river

s on

the

road

Fatal accidents Fatal accident rate

Page 16: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Fatal Fatigue-related Accidents

020406080

100120140160180

Time of day

Driv

ers

invo

lved

in

fata

l fat

igue

acc

iden

ts

00.000050.00010.000150.00020.000250.00030.00035

Driv

ers

invo

lved

in

fata

l fat

igue

ac

cide

nts/

driv

ers

on

the

road

Fatigue accidents Fatigue accident rate

Page 17: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Fatal Alcohol-related Accidents

0200400600800

1000120014001600

0000

-0059

0200

-0259

0400

-0459

0600

-0659

0800

-0859

1000

-1059

1200

-1259

1400

-1459

1600

-1659

1800

-1859

2000

-2059

2200

-2259

Time of day

Driv

ers

invo

lved

in

fata

l fat

igue

acc

iden

ts

00.00020.00040.00060.00080.0010.0012

Driv

ers

invo

lved

in

fata

l fat

igue

ac

cide

nts/

driv

ers

on

the

road

Alcohol accidents Alcohol accident rate

Page 18: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Fatal Failure to Yield Accidents

0100

200300

400500

0000

-0059

0200

-0259

0400

-0459

0600

-0659

0800

-0859

1000

-1059

1200

-1259

1400

-1459

1600

-1659

1800

-1859

2000

-2059

2200

-2259

Time of day

Driv

ers

invo

lved

in

fata

l fat

igue

acc

iden

ts

00.000010.000020.000030.000040.000050.000060.00007

Driv

ers

invo

lved

in

fata

l fat

igue

ac

cide

nts/

driv

ers

on

the

road

Failure to yield accidents Failure to yield accident rate

Page 19: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Accident Involvement (GES)

0200000400000600000800000

100000012000001400000

Time of day

Num

ber

of d

rive

rs

invo

lved

in a

ccid

ents

00.020.040.060.080.10.12

Num

ber

of d

rive

rs

invo

lved

in

acci

dent

s/N

umbe

r of

dr

iver

s on

the

road

GES accidents GES Accident rate

Page 20: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Failure to Yield Accident Involvement (GES)

010000200003000040000500006000070000

Time of day

Num

ber

of d

rive

rs

invo

lved

in a

ccid

ents

00.00020.00040.00060.00080.0010.00120.00140.0016

Num

ber

of d

rive

rs

invo

lved

in

acci

dent

s/N

umbe

r of

dr

iver

s on

the

road

Failure to yield Accident rate

Page 21: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Accident Rate Comparison (FARS)

00.00020.00040.00060.00080.001

0.0012

Time of day

Num

ber o

f driv

ers

invo

lved

in

acc

iden

ts/N

umbe

r of

driv

ers

on th

e ro

ad

Fatigue accident rate (FARS) Alcohol accident rate (FARS)

Page 22: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Fatigue-related Accident Rates

00.0010.0020.0030.0040.0050.006

0000

-0059

0300

-0359

0600

-0659

0900

-0959

1200

-1259

1500

-1559

1800

-1859

2100

-2159

Time of day

Num

ber o

f driv

ers

invo

lved

in

acci

dent

s/N

umbe

r of

driv

ers

on th

e ro

ad

00.000050.00010.000150.00020.000250.00030.00035

Num

ber o

f driv

ers

invo

lved

in

acci

dent

s/N

umbe

r of

driv

ers

on th

e ro

ad

Fatigue accident rate (GES) Fatigue accident rate (FARS)

Page 23: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Alcohol-related Accident Rates

00.00020.00040.00060.00080.001

0.0012

0000

-005

902

00-0

259

0400

-045

906

00-0

659

0800

-085

910

00-1

059

1200

-125

914

00-1

459

1600

-165

918

00-1

859

2000

-205

922

00-2

259Num

ber o

f driv

ers

invo

lved

in

acc

iden

ts/N

umbe

r of

driv

ers

on ro

ad

00.0050.010.0150.020.0250.03

Num

ber o

f driv

ers

invo

lved

in

acc

iden

ts/N

umbe

r of

driv

ers

on th

e ro

ad

Alcohol accident rate (FARS) Alcohol accident rate (GES)

Page 24: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Failure to yield Accident Rates

00.00020.00040.00060.00080.001

0.00120.00140.0016

0000

-0059

0300

-0359

0600

-0659

0900

-0959

1200

-1259

1500

-1559

1800

-1859

2100

-2159

Time of day

Num

ber o

f driv

ers

invo

lved

in

acci

dent

s/N

umbe

r of

driv

ers

on th

e ro

ad

00.000010.000020.000030.000040.000050.000060.00007

Num

ber o

f driv

ers

invo

lved

in

acci

dent

s/N

umbe

r of

driv

ers

on th

e ro

ad

Failure to yield accident rate (GES)Failure to yield accident rate (FARS)

Page 25: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Exposure by time of day and Age

02000000400000060000008000000

10000000120000001400000016000000

Time of day

Driv

ers

on th

e ro

ad

15-1819-2425-3435-4445-5455-6465 and older

Page 26: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Fatal Accidents by Time of Day and Age

02468

1012

Time of day

Perc

ent o

f fat

al a

ccid

ents

15-1819-2425-3435-4445-5455-6465+

Page 27: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Rate of accident involvement by age and time of day

00.0010.0020.0030.0040.0050.0060.007

15-1819-2425-3435-4445-5455-6465+

Page 28: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Fatal Fatigue Accidents by Time of Day and Age

0102030405060

0000

-0059

0200

-0259

0400

-0459

0600

-0659

0800

-0859

1000

-1059

1200

-1259

1400

-1459

1600

-1659

1800

-1859

2000

-2059

2200

-2259

Time of day

Num

ber o

f driv

ers

invo

lved

in

fata

l fat

igue

acc

iden

ts

15-1819-2425-3435-44 45-5455-6465+

Page 29: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Rate of fatigue accidents by age and time of day

00.00010.00020.00030.00040.00050.0006

15-1819-2425-3435-4445-5455-6465+

Page 30: Using NHTS Data as a Measure of Exposure Data Meg Sweeney* Lee Giesbrecht Jonaki Bose Bureau of Transportation Statistics This work was completed while

Summary• Calculated rates using NHTS data as a measure of

exposure• The patterns of the accident rates show a peak in

the early morning hours • Rates reveal different patterns from number of

drivers involved in accidents• Patterns of rates for FARS and GES data may not

be the same• Exposure information shows differences by age• Refinement of the exposure measure