estimation of 2001 crash costs using fars and ges

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Estimation of 2001 Crash Estimation of 2001 Crash Costs Using FARS and GES Costs Using FARS and GES John McFadden, Len Meczkowski, FHWA-Office of Safety R&D; Carol Conly, Lendis Corporation; Promod Chandhok, BTS

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Estimation of 2001 Crash Costs Using FARS and GES. John McFadden, Len Meczkowski, FHWA-Office of Safety R&D; Carol Conly, Lendis Corporation; Promod Chandhok, BTS. Presentation Overview. Introduction/Safety Problem FHWA Safety Goals Data Collection FARS GES Interpretation of Results - PowerPoint PPT Presentation

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Page 1: Estimation of 2001 Crash Costs Using FARS and GES

Estimation of 2001 Crash Costs Estimation of 2001 Crash Costs Using FARS and GES Using FARS and GES

John McFadden, Len Meczkowski,

FHWA-Office of Safety R&D;

Carol Conly, Lendis Corporation;

Promod Chandhok, BTS

Page 2: Estimation of 2001 Crash Costs Using FARS and GES

Presentation OverviewPresentation Overview

Introduction/Safety Problem FHWA Safety GoalsData Collection

– FARS– GES

Interpretation of ResultsConclusions

Page 3: Estimation of 2001 Crash Costs Using FARS and GES

IntroductionIntroduction

37,795 fatal motor vehicle crashes in 2001– Resulting in 40,016 deaths

+/- 2.08 million injuries resulting from auto crashes in 2001

Heavy personal toll and economic cost

Page 4: Estimation of 2001 Crash Costs Using FARS and GES

IntroductionIntroduction

What is the cost of traffic crashes for 2001?Why do we care about this cost?How do we quantify this cost?

Page 5: Estimation of 2001 Crash Costs Using FARS and GES

IntroductionIntroduction

February 2002: OST guidance on value of life (in 2001 dollars):– Fatality = $3 million– Severe injury = $1.01 million (AIS 5,4 (A))– Minor injury = $60,000 (AIS 3-1, (B+C))– PDO = $2,300

Page 6: Estimation of 2001 Crash Costs Using FARS and GES

FHWA Safety GoalsFHWA Safety Goals

Reduce the rate and number of highway related fatalities and injuries

Performance Measures and Benchmarks– Highway-related fatalities per 100 million

VMT– Number of highway-related fatalities– Highway related injuries per 100 million VMT– Number of highway-related injuries (millions)

Page 7: Estimation of 2001 Crash Costs Using FARS and GES

FHWA Safety Goal-FatalitiesFHWA Safety Goal-Fatalities

Page 8: Estimation of 2001 Crash Costs Using FARS and GES

FHWA Safety Goal-FatalitiesFHWA Safety Goal-Fatalities

Page 9: Estimation of 2001 Crash Costs Using FARS and GES

FHWA Safety Goal-InjuriesFHWA Safety Goal-Injuries

Page 10: Estimation of 2001 Crash Costs Using FARS and GES

FHWA Safety Goal-InjuriesFHWA Safety Goal-Injuries

Page 11: Estimation of 2001 Crash Costs Using FARS and GES

Problem StatementProblem Statement

How to achieve these safety goals?What types of crashes should we focus?What countermeasures are appropriate?How to evaluate the effectiveness of

countermeasures?

Page 12: Estimation of 2001 Crash Costs Using FARS and GES

R&D EffortsR&D Efforts

One approach:– review traffic crash records to identify the crash

types that will provide the largest “return on investment” for specific treatments.

Need to estimate benefit-cost ratios:– Benefits: reduction in crash (by type) for

specific treatment– Costs by crash type

Page 13: Estimation of 2001 Crash Costs Using FARS and GES

2001 Crash Data2001 Crash Data

Fatal crash data obtained via FARS – Fatality Analysis Reporting Systems

Injury/PDO crash data obtained via GES – General Estimation Systems

Crash impacts that result in fatality, injury or PDO are called “harmful events” and are broken into two groups:– First Harmful Event (FHE)– Most Harmful Event (MHE)

Page 14: Estimation of 2001 Crash Costs Using FARS and GES

FHE CrashesFHE Crashes

FHE– Recorded as an accident level variable– Each crash is assigned a single FHE regardless

of the number of vehicles involved– FHE may not be the impact that caused the

greatest trauma or property damage

Page 15: Estimation of 2001 Crash Costs Using FARS and GES

MHE CrashesMHE Crashes

MHE– Recorded as a vehicle level variable– Separate MHE are assigned to EVERY vehicle

in a crash

Page 16: Estimation of 2001 Crash Costs Using FARS and GES

ExampleExample

Wet pavement, two-vehicle collision injuring two occupants in the struck vehicle. The striking vehicle was then deflected into the utility pole, killing the driver.– FHE

vehicle-vehicle collision

– MHE Struck vehicle = vehicle-vehicle collision Striking vehicle = utility pole

Page 17: Estimation of 2001 Crash Costs Using FARS and GES

Data CollectionData Collection

2001 crash data were broken into four groupings:– All crash types

FHE MHE

– Run off road crash types FHE MHE

Page 18: Estimation of 2001 Crash Costs Using FARS and GES

Why focus on ROR crashes?Why focus on ROR crashes?

FHWA Office of Safety R&D, Roadside Team:– Interested in identifying focus of future

research w/r/to ROR crash treatments

Data supported focus on these crashes:– ROR crashes are contributory cause for 38% of

fatalities (McFadden, ITE 2002)

Page 19: Estimation of 2001 Crash Costs Using FARS and GES

Data CollectionData Collection

Data were also normalized for the following contributing factors:– Alcohol involvement– Restraint usage

Page 20: Estimation of 2001 Crash Costs Using FARS and GES

MHE – 2001 Fatal Crashes MHE – 2001 Fatal Crashes (5 most frequent events)(5 most frequent events)

Event Fatals Alcohol No Rest.

Vehicle in Transport

15,286 (40%)

2,776 (18%)14,514 (92%)

Overturn7,721 (19%)

1,907 (25%) 6,106 (79%)

Pedestrian4,723 (12%)

762

(16%)4,723

(100%)

Tree3,802

(9%)

878

(23%)2,510 (66%)

Utility Pole 1,199 (3%) 221 (18%) 755 (63%)

Page 21: Estimation of 2001 Crash Costs Using FARS and GES

MHE – 2001 “A” Injury Crashes MHE – 2001 “A” Injury Crashes (5 most frequent events)(5 most frequent events)

Event A Injuries Alcohol No Rest.

Vehicle in Transport

168,293 (62%)

8,118

(5%)26,705 (16%)

Overturn41,786

(15%)

8,111

(20%)

12,101

(29%)

Tree17,336 (6%)

4,552

(26%)

4,163

(24%)

Sign Post/

Sign

9,943

(4%)

2,428

(24%)

2,793

(28%)

Culvert8,077

(3%)

1,949

(24%)

3,156

(39%)

Page 22: Estimation of 2001 Crash Costs Using FARS and GES

MHE – 2001 “B+C” Injury Crashes MHE – 2001 “B+C” Injury Crashes

(5 most frequent events)(5 most frequent events)

EventB+C

InjuriesAlcohol No Rest.

Vehicle in Transport

1,237,081

(72%)

27,602

(2.2%)86,064 (7%)

Overturn62,147

(4%)

7,528

(12%)

11,370

(18%)

Sign Post/

Sign

53,720

(3%)

11,409

(21%)

9,679

(18%)

Pedestrian53,141

(3%)

181

(0.3%)

53,141

(100%)

Tree39,621

(2%)

7,350

(19%)

6,239

(16%)

Page 23: Estimation of 2001 Crash Costs Using FARS and GES

MHE – 2001 Fatal + Injury Crash MHE – 2001 Fatal + Injury Crash Comparison of Most Frequent Events Comparison of Most Frequent Events

Rank Event Frequency

Fatal A InjuriesB+C

Injuries

1Vehicle in Transport

(Alcohol/Restraint)

Vehicle in Transport

(Alcohol/Restraint)

Vehicle in Transport

(Alcohol/Restraint)

2 Overturn(ROR)

Overturn(ROR)

Overturn(ROR)

3 Pedestrian Tree(ROR)

Sign Post/Sign (ROR)

4 Tree(ROR)

Sign Post/Sign (ROR)

Pedestrian

5 Utility Pole(ROR)

Culvert(ROR)

Tree (ROR)

Page 24: Estimation of 2001 Crash Costs Using FARS and GES

2001 MHE Fatal + Injury Crash Costs 2001 MHE Fatal + Injury Crash Costs By Most Frequent Events By Most Frequent Events

Rank Event Frequency Fatalities Injuries

Vehicle in Transport $46 Billion $206 Billion

Overturn $23 Billion $45 Billion

Pedestrian (Fatal) Tree (Injury) $14 Billion $18 Billion

Tree (Fatal)

Sign Post/Sign (Injury) $11 Billion $11 Billion

Utility Pole (Fatal)

Culvert (Injury)$4 Billion $9 Billion

Page 25: Estimation of 2001 Crash Costs Using FARS and GES

MHE – 2001 ROR Fatal Crashes MHE – 2001 ROR Fatal Crashes

(5 most frequent events)(5 most frequent events)Event Fatals Alcohol No Rest.

Overturn5,953 (36%)

1,962

(33%)

3,937

(66%)

Tree3,662 (22%)

1,088 (30%) 2,114 (58%)

Vehicle in Transport

1,401 (8%) 118 (8%) 312 (22%)

Utility Pole 1,076 (7%) 315 (29%) 593 (55%)

Embankment 509 (3%) 162 (32%) 342 (67%)

Page 26: Estimation of 2001 Crash Costs Using FARS and GES

MHE – 2001 ROR MHE – 2001 ROR ““A” Injury Crashes A” Injury Crashes (5 most frequent events)(5 most frequent events)

Event Fatals Alcohol No Rest.

Overturn26,817 (30%)

6,364

(24%)

9,004

(34%)

Tree16,646 (19%)

4,552 (27%) 4,094 (25%)

Sign post/

Sign9,651 (11%)

2,349 (24%) 2794 (29%)

Culvert 7,898 (9%) 1,949 (25%) 3,157 (40%)

Embankment 4,765 (5%) 834 (18%) 1,431 (30%)

Page 27: Estimation of 2001 Crash Costs Using FARS and GES

MHE – 2001 ROR MHE – 2001 ROR ““B+C” Injury Crashes B+C” Injury Crashes

(5 most frequent events)(5 most frequent events)

Event Fatals Alcohol No Rest.

Overturn 76,656 (22%)10,467

(14%)

14,815

(19%)

Sign post/

Sign48,162 (14%) 10,261 (21%) 8,823 (18%)

Tree 40,622 (12%) 7,043 (17%) 6,646 (16%)

Parked Vehicle 26,543 (8%) 4,569 (17%) 4,539 (17%)

Culvert 26,325 (8%) 4,607 (18%) 4,715 (18%)

Page 28: Estimation of 2001 Crash Costs Using FARS and GES

MHE – 2001 Fatal + Injury Crash MHE – 2001 Fatal + Injury Crash Comparison of Most Frequent Events Comparison of Most Frequent Events

Rank Event Frequency

Fatal A InjuriesB+C

Injuries

1 Overturn Overturn Overturn

2 Tree TreeSign Post/

Sign

3Motor

Vehicle in Transport

Sign Post/

SignTree

4 Utility Pole CulvertParked vehicle

5 Embankment Embankment Culvert

Page 29: Estimation of 2001 Crash Costs Using FARS and GES

2001 Fatal + Injury Crash Costs 2001 Fatal + Injury Crash Costs By Most Frequent Events By Most Frequent Events

Rank Event Frequency Fatalities Injuries

Overturn $18 Billion $29 Billion

Tree $11 Billion $18 Billion

Motor vehicle in transport (Fatal), Sign Post/Sign (Injury)

$4 Billion $11 Billion

Utility Pole (Fatal)

Culvert (Injury)$3 Billion $9 Billion

Embankment (Fatal),

Guide rail (Injury)$2 Billion $5 Billion

Page 30: Estimation of 2001 Crash Costs Using FARS and GES

Interpretation of ResultsInterpretation of Results

So What?– What does this information tell us?– How do we apply what we know?

Ans.– Focus areas for safety programs.

Page 31: Estimation of 2001 Crash Costs Using FARS and GES

AASHTO AASHTO Strategic Highway Safety PlanStrategic Highway Safety Plan

Developed in 1996-1997 Reduce the deaths and

health care costs due to crashes on highways

Guidance for state DOT safety management plans

Page 32: Estimation of 2001 Crash Costs Using FARS and GES

AASHTO SHSPAASHTO SHSPCrash Categories Crash Categories

DUI Aggressive driving Seat belt Peds Head-on Curves Trees Utility poles Guiderail Intersections

Page 33: Estimation of 2001 Crash Costs Using FARS and GES

Head on CrashesHead on Crashes

Vehicle crosses the centerline or median or travels wrong way in opposing traffic lane and crashes

Objectives to reduce HOC:– Keep vehicles from encroaching onto opposite

lane– Reduce the severity of crashes that occur

Page 34: Estimation of 2001 Crash Costs Using FARS and GES

Head on Crashes StrategyHead on Crashes Strategy

Low cost improvement– Centerline rumble strips for two lane roadways

Page 35: Estimation of 2001 Crash Costs Using FARS and GES

Run off Road CrashesRun off Road Crashes

Contributory cause for 38% of fatalitiesFHWA 2-prong approach concentrates on:

– Keeping vehicles in travel lanes– Minimize the harmful effects when the vehicle

leaves the roadway

Page 36: Estimation of 2001 Crash Costs Using FARS and GES

Taken During Construction

ROR Crash StrategyROR Crash Strategy

Pavement edge rumble strips

Page 37: Estimation of 2001 Crash Costs Using FARS and GES

ROR Crash StrategyROR Crash StrategyCurve DelineationCurve Delineation

Page 38: Estimation of 2001 Crash Costs Using FARS and GES

ROR StrategyROR StrategyUtility Pole RelocationUtility Pole Relocation

Digitally Enhanced Photograph

BEFORE

AFTER

Page 39: Estimation of 2001 Crash Costs Using FARS and GES

ROR StrategyROR StrategyUtility Pole DelineationUtility Pole Delineation

Page 40: Estimation of 2001 Crash Costs Using FARS and GES

ROR StrategyROR StrategyHazardous Tree RemovalHazardous Tree Removal

BEFORE

Digitally Enhanced Photograph

AFTER

Page 41: Estimation of 2001 Crash Costs Using FARS and GES

ConclusionsConclusions

2001 crash data were analyzed:– Ranked by frequency of harmful events– Calculated costs in 2001 dollars of these

crashes– Validate existing safety improvement programs– Provide data to estimate benefit/cost ratios for

safety treatments

Page 42: Estimation of 2001 Crash Costs Using FARS and GES

ConclusionsConclusions

2001 crash data: – Provides guidance for future research efforts– Validates AASHTO SHSP priority areas

Accurate crash data essential for future highway safety initiatives

Page 43: Estimation of 2001 Crash Costs Using FARS and GES

Questions?Questions?

Contact Information:– www.tfhrc.gov– John McFadden,

HRDS-6 6300 Georgetown Pike McLean, VA 22101 Phone: 202-493-3320 E-mail: [email protected]