Rider Blood Alcohol in Thailand Motorcycle Crashes James V. Ouellet - - PowerPoint PPT Presentation

rider blood alcohol in thailand motorcycle crashes
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Rider Blood Alcohol in Thailand Motorcycle Crashes James V. Ouellet - - PowerPoint PPT Presentation

Rider Blood Alcohol in Thailand Motorcycle Crashes James V. Ouellet Head Protection Research Laboratory Paramount, CA 90723 USA Vira Kasantikul, M.D. Silpakorn University Nakhon-Pathom, 73000 Thailand Two subpopulations: Alcohol-involved


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SLIDE 1

Rider Blood Alcohol in Thailand Motorcycle Crashes

James V. Ouellet

Head Protection Research Laboratory Paramount, CA 90723 USA

Vira Kasantikul, M.D.

Silpakorn University Nakhon-Pathom, 73000 Thailand

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SLIDE 2

Two subpopulations:

Alcohol-involved vs. non-alcohol crashes

  • Non-alcohol crashes in Thailand were very

different from non-alcohol crashes in Los Angeles.

  • But alcohol-involved crashes were very

similar in both study areas.

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SLIDE 3

Accident time for drinkers and non-drinkers in Thailand, 3-hour rolling average

2 4 6 8 10 12 14 16 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 0 1 2 3 4 5

Accident hour (24 hour clock) Percent

No alcohol or drugs Alcohol or drugs used

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SLIDE 4

Accident time for drinkers and non-drinkers in Hurt study, 3-hour rolling average

2 4 6 8 10 12 14

6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 22 23 0 1 2 3 4 5

Accident hour (24 hour clock) Percent

Non-drinkers (n=773) Drinkers (n=103)

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SLIDE 5

Most common accident configurations among non-drinkers

Rank

Los Angeles (n = 773) Thailand (n = 683)

Configuration Percent Configuration Percent

1 23.0 11.1 2 14.0 9.2 3 9.2 8.3 4 8.7 8.3 5 8.2 7.5

OV Motorcycle

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SLIDE 6

Most common accident configurations among drinking riders

Rank

Los Angeles (n = 102) Thailand (n = 393)

Configuration Percent Configuration Percent

1 38.8 21.4 2 13.6 15.0 3 10.7 7.9 4 4.9 6.4 5 3.9 5.1 (tie)

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SLIDE 7

Loss of control mode, drinkers vs. non- drinkers in Thailand & Hurt study

Loss of control mode No alcohol Alcohol involved

Los Angeles ( n=773 ) Thailand ( n=683 ) Los Angeles ( n=103 ) Thailand ( n=393 )

Capsize

4.7 % 3.4 % 4.9 % 4.8 %

Slide-out

22.8 % 6.0 % 20.4 % 8.4 %

High-side

1.9 % 0.6 % 3.9 % 1.0 %

Ran off road

6.3 % 2.2 % 23.3 % 15.8 %

Other

1.8 % 0.7 % 4.9 % 1.8 %

No Loss

62.5 % 87.0 % 42.7 % 68.2 %

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SLIDE 8

Major traffic violations

Major traffic violations No alcohol Alcohol involved

Los Angeles Thailand Los Angeles Thailand

Running red light Riding in opposing lane

12 % 3.6 % 25 % 6.7 % 22 % 9.3 % 51 % 12 %

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SLIDE 9

Rider or OV driver error in multiple vehicle crashes

39.7 49.4 72.2 75.6 60.3 50.6 27.8 24.4 10 20 30 40 50 60 70 80 90 100 Los Angeles - Non-drinkers Thailand - Non-drinkers Los Angeles - Drinking riders Thailand - Drinking riders

Percent

Rider error OV driver error

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SLIDE 10

Cumulative percent distribution of rider Blood Alcohol Content (BAC)

10 20 30 40 50 60 70 80 90 100 40 80 120 160 200 240 280 320 >350

Rider BAC, mg/dL Cumulative percent

All riders (n=372) All riders with BAC>0 (n=229)

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SLIDE 11

Rider inattention as a function of rider BAC

10 20 30 40 50 60 70 80 90 100 1 - 49 50-79 80-99 100-149 150-199 200-249 250+

Rider BAC, mg/dl Percent

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SLIDE 12

Single vehicle, ran-off-road and loss-of-control crashes, by BAC level

10 20 30 40 50 60 1 - 49 50-79 80-99 100-149 150-199 200-249 250+

BAC level, mg/dl Percent

Single vehicle Lost control Ran off road

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SLIDE 13

Object struck by motorcycle as a function of rider BAC

10 20 30 40 50 60 70 80 90 1-49 50-79 80-99 100-149 150-199 200-249 250+

Rider BAC, mg/dl Percent of group

Other vehicle in traffic Parked vehicle Roadway, roadside object Animal, pedestrian, other

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SLIDE 14

Rider error as primary or sole cause factor by BAC, all crashes

20 40 60 80 100 120 140 1 - 49 50-79 80-99 100-149 150-199 200-249 250+

Rider BAC, mg/dl Percent

Primary cause (n=372) Sole cause (n=135)

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SLIDE 15

Primary cause factor by BAC in multiple vehicle crashes

20 40 60 80 100 120 140 1 - 49 50-79 80-99 100-149 150-199 200-249 250+

Rider BAC, mg/dl Percent

Rider error (n=292) OV driver error (n=259)

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SLIDE 16

Minimum BAC level that differs significantly from non-drinkers

20 40 60 80 100 120 Attention Loss of control Rider error PCF Hit roadside object OV error PCF Single vehicle Ran off road Rider sole cause Ran red light

BAC, mg/dl

Lower Median Upper

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SLIDE 17

Motorcycle precrash speed by rider BAC, 25th, 50th & 75th percentile

10 20 30 40 50 60 70 1-49 50-79 80-99 100-149 150-199 200-249 250+ Rider BAC, mg/dl Precrash speed, km/hr

25th %ile speed Median speed 75th %ile speed

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SLIDE 18

Motorcycle crash speed by BAC group, 25th, 50th and 75th percentiles

10 20 30 40 50 60 001-049 50-79 80-99 100-149 150-199 200-249 250+ Rider BAC group Speed, km/hr

25 %ile 50 %ile 75 %ile

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SLIDE 19

Medical treatment by BAC level

10 20 30 40 50 60 70 1-49 50-79 80-99 100-149 150-199 200-249 250+ Rider BAC group Percent

Minor treatment Hospitalized Fatal

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SLIDE 20

As BAC increases:

1. Rider inattention goes up regularly 2. Loss of control crashes go up regularly 3. Single-vehicle & run-off-road crashes increase greatly, but hold steady at BAC > .05% 4. Rider error as primary or sole cause doubles above BAC > .05% 5. Speeds remain steady 6. Minor crashes decrease, and serious and fatal crashes increase