Literature DB >> 9663297

Age related changes in drivers' crash risk and crash type.

G A Ryan1, M Legge, D Rosman.   

Abstract

Age and gender differences in the rates of crash involvement of Western Australian drivers were examined using the Road Injury Database of the Road Accident Prevention Research Unit at the University of Western Australia. The population examined was all drivers of cars, station wagons and related vehicles involved in property damage, injury and fatal crashes reported to the police in Western Australia from 1 January 1989 to 31 December 1992. It was found that drivers aged < 25 years were involved in ca 35% of crashes, compared with 3% for drivers 70 years and over. Drivers under 25 years had the highest rates on a population and licence basis, but when the distance travelled was taken into account, rates of crash involvement for the 75 or more age group were as high as those of the youngest age group. Females had higher rates of crash involvement than males in all age groups. Drivers over 70 years were involved in relatively more crashes involving fatalities and hospital admissions than younger drivers, although the number of such crashes was small. The youngest groups of drivers had proportionately more single vehicle crashes, drivers 30-59 years had more same direction crashes, and drivers over 60 years, particularly those over 75 years, had more direct and indirect right angle crashes. There were also age related patterns in the movements associated with these crashes. Drivers under 30 years were associated with swerving and swinging wide, drivers 30-59 years were stopped at the time of the crash disproportionately often, and drivers over 60 years were associated with turning movements. The percentage of crashes in daylight ranged from ca 64% for drivers under 20 years to a maximum of over 90% for those 80 years and over. These patterns are consistent with changes in exposure to risk of crash involvement with age, and also with changes in ability, experience and psychological function, which are also related to age.

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Year:  1998        PMID: 9663297     DOI: 10.1016/s0001-4575(97)00098-5

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  18 in total

1.  Characteristics of traffic crashes in Maryland (1996-98): differences among the youngest drivers.

Authors:  M F Ballesteros; P Dischinger
Journal:  Annu Proc Assoc Adv Automot Med       Date:  2000

2.  Driver dependent factors and the risk of causing a collision for two wheeled motor vehicles.

Authors:  P Lardelli-Claret; J J Jiménez-Moleón; J de Dios Luna-del-Castillo; M García-Martín; A Bueno-Cavanillas; R Gálvez-Vargas
Journal:  Inj Prev       Date:  2005-08       Impact factor: 2.399

3.  Driving beliefs and behaviors of novice teen drivers and their parents: implications for teen driver crash risk.

Authors:  Mary Pat McKay; Jeffrey H Coben; Gregory Luke Larkin
Journal:  Annu Proc Assoc Adv Automot Med       Date:  2003

4.  Gender and Age Differences among Teen Drivers in Fatal Crashes.

Authors:  David I Swedler; Stephen M Bowman; Susan P Baker
Journal:  Ann Adv Automot Med       Date:  2012

5.  Comparing the Glance Patterns of Older versus Younger Experienced Drivers: Scanning for Hazards while Approaching and Entering the Intersection.

Authors:  Matthew R E Romoser; Alexander Pollatsek; Donald L Fisher; Carrick C Williams
Journal:  Transp Res Part F Traffic Psychol Behav       Date:  2013-01

6.  The effect of active versus passive training strategies on improving older drivers' scanning in intersections.

Authors:  Matthew R E Romoser; Donald L Fisher
Journal:  Hum Factors       Date:  2009-10       Impact factor: 2.888

7.  Teen drivers and the risk of injury to child passengers in motor vehicle crashes.

Authors:  I G Chen; M R Elliott; D R Durbin; F K Winston
Journal:  Inj Prev       Date:  2005-02       Impact factor: 2.399

8.  Head Scanning Behavior Predicts Hazard Detection Safety Before Entering an Intersection.

Authors:  Steven W Savage; Lily Zhang; Garrett Swan; Alex R Bowers
Journal:  Hum Factors       Date:  2021-08-26       Impact factor: 3.598

9.  Driving with pets as a risk factor for motor vehicle collisions among older drivers.

Authors:  Hallie Blunck; Cynthia Owsley; Paul A MacLennan; Gerald McGwin
Journal:  Accid Anal Prev       Date:  2013-04-30

10.  Adaptive response criteria in road hazard detection among older drivers.

Authors:  Jing Feng; HeeSun Choi; Fergus I M Craik; Brian Levine; Sylvain Moreno; Gary Naglie; Motao Zhu
Journal:  Traffic Inj Prev       Date:  2017-11-27       Impact factor: 1.491

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