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Older drivers and their accidents

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social change (social mobility, out of town shopping/leisure) means ... Disregard speed limits (2.17) Cross a junction as the lights turn against you (1.50) ... – PowerPoint PPT presentation

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Title: Older drivers and their accidents


1
Older drivers and their accidents
Dr Dianne Parker Driver Behaviour Research
Unit Department of Psychology University of
Manchester Funder Department of Environment,
Transport and the Regions, 36 months
2
Why study the older driver?
  • proportion of older people who drive is
    increasing (Joint, 1995)
  • social change (social mobility, out of town
    shopping/leisure) means maintaining personal
    mobility is crucial to quality of life (Owsley,
    1997)
  • older drivers need to know their areas of likely
    strength and weakness

3
The older driver project
  • Phase One the Ageing Driver Questionnaire
  • Surveyed 1,993 drivers aged 49-90
  • Phase Two the laboratory tests
  • 550 drivers over three 1.5 hour sessions
  • Phase Three the on-road assessments
  • 200 drivers, two routes, two different ADIs

4
The Manchester DBQ 1
  • How often, if at all, do you do each of the
    following?
  • 0 never
  • 1 hardly ever
  • 2 occasionally
  • 3 quite often
  • 4 frequently
  • 5 nearly all the time

5
The Manchester DBQ 2
  • Top two errors
  • Underestimate speed of an oncoming vehicle when
  • overtaking (1.70)
  • Brake too quickly, or steer wrong way into a
    skid (1.51)
  • Top two violations
  • Disregard speed limits (2.17)
  • Cross a junction as the lights turn against you
    (1.50)
  • Top two lapses
  • Misread signs and take wrong turn off a
    roundabout (2.40)
  • Get into wrong lane approaching a
    roundabout/junction (2.25)

6
Factors emerging
  • The lapse and error factors emerged virtually as
    expected
  • Violations split into two types
  • Interpersonally aggressive violations plus close
    following
  • Ordinary violations
  • A new factor (factor 5)
  • One lapse - driving away in 3rd
  • One violation - Cross traffic lights turning red

7
Predicting active accidents
Wald Odds ratio Age
1.76 1.00 Mileage 15.86 1.00 Gender 2.99 1
.24 Errors 11.30 1.87 Lapses 13.91 1.70
Viols.1 0.38 0.90 Viols.2
2.98 1.22 Factor 5 0.55 1.10
8
Predicting passive accidents
Wald Odds ratio Age
1.42 0.99 Mileage 1.98 1.00 Gender
0.59 0.91 Errors 0.18 0.92 Lapses
9.09 1.54 Viols.1 3.95 1.41 Viols.2
0.77 0.90 Factor 5 0.14 0.95
9
Are those who have active accidents different?
Accident No Sig diff? accident Errors
1.51 1.37 Lapses 2.18 2.00 Viols.1 1.2
4 1.19 ns Viols.2 1.71 1.59 Factor
5 1.54 1.42
10
Are those who have passive accidents different?
Accident No Sig diff? accident Errors
1.42 1.40 ns Lapses 2.11 2.03 Viols.1 1.24
1.19 Viols.2 1.65 1.61 ns Factor
5 1.47 1.45 ns
11
Are older drivers different?
  • Yes, they report more lapses than other drivers.
    Why?
  • These seem to occur in situations where they
    need to
  • do several things at once
  • Then, cognitive demands may exceed capacity
  • If something has to fail, the task aspects least
  • safety-critical should be the one to go
  • Such aspects include those revealed as lapses

12
Why do lapses predict accidents?
  • Most lapses seem relatively harmless
  • However they may reflect a generally inattentive
    and/or
  • hesitant driving style
  • The behaviour on the road of the lapse-prone
    driver
  • may be unpredictable
  • They may fail to pick up on other drivers
    departures
  • from the ordinary

13
Conclusions
  • Among the over 50s, a lapse-prone driving style
    is
  • linked with accident involvement, even after
    the effects
  • of age, gender and mileage have been taken
    into account
  • Road safety interventions targeted at older
    drivers
  • should focus on maintaining and/or supporting
    the
  • complex skills necessary for driving
  • A self-administered diagnostic test (DBQ?) would
    be a
  • useful first step
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