Age,
gender major factors in severity of auto-accident
injuries
Newswise — Understanding the differences among
drivers in different gender and age categories is
crucial to preventing serious injuries, said
researchers in a new study showing stark statistical
differences in traffic-accident injuries depending
on the gender and age of drivers.
The new findings are especially important because
the number of drivers 65 and older is expected to
double by 2030 in the United States to 70 million,
said Fred Mannering, a professor of civil
engineering at Purdue University and the study's
co-author. National statistics show that fatalities
rose by 7 percent for drivers 75 and older from 1981
to 2000, remained steady for drivers from 65-74, but
dropped for younger drivers.
"It is reasonably well known that age and gender
have an effect on the likelihood of an accident, but
the influence that age and gender have on driver
injuries once an accident has occurred is not well
understood," Mannering said.
The Purdue researchers found statistically
significant differences in the severity of injuries
suffered in accidents involving men and women
drivers and drivers within three age groups: young
drivers, 16-24; middle-aged drivers, 25-64; and
older drivers, 65 and above.
"Because the factors that affect how severely you
are going to be injured vary depending on your age
and gender, a better understanding of age and gender
differences can lead to improvements in vehicle and
highway design to minimize driver injury severity,"
Mannering said. "What is clear is that safety
research and policy must begin to seriously address
gender- and age-related matters because there are
compelling differences and considerable potential to
improve safety if these differences are properly
addressed."
Findings were detailed in a paper published last
year in the Journal of Safety Research. The
paper was written by Purdue doctoral student
Samantha Islam and Mannering.
The researchers used mathematical models to
calculate various probabilities using data from
one-vehicle accidents in Indiana.
The study included findings showing that:
* Accidents involving an overturned vehicle
increased the likelihood of a fatality by 220
percent for older men and only 154 percent for young
men. For women, rollover accidents increased the
likelihood of fatality by 523 percent for older
women and only 116 percent for young women.
* Vehicles carrying one or more passengers at the
time of the accident increased the likelihood of
driver fatality by 114 percent for young men and 70
percent for middle-aged men, but had no significant
effect on the injury levels of older male drivers.
* Vehicles less than five years old increased the
likelihood of fatality for older men by 216 percent
and for young men by 71 percent, but did not have a
significant effect on the likelihood of a fatality
for middle-aged men.
* Not using safety belts increased the likelihood of
injury by 119 percent for young women, 164 percent
for middle-aged women and 187 percent for older
women.
* Accidents occurring in rural areas increased the
likelihood of fatalities by 208 percent for young
women but had no significant effect on the injury
levels of other female age categories.
* Vehicles six years old and older increased the
likelihood of injury for middle-aged female drivers
by more than 200 percent but had no significant
impact on the injury levels of other female age
categories.
* Fatalities were more likely for middle-aged men
who fall asleep at the wheel, exceeded the speed
limit, got into an accident at an intersection or
had an accident after midnight on Friday or
Saturday, while the same factors had no significant
effect on the injury levels of middle-aged female
drivers.
* Injuries were shown to be more likely for
middle-aged women who drive during daytime hours,
drive while under the influence of alcohol or drive
while ill, while the same factors did not
significantly influence the injury levels of
middle-aged male drivers.
* Driving on curvy roads and driving vehicles six
years old and older increased the likelihood of
injury for middle-aged female drivers but were found
to have no significant effect on the injury levels
of middle-aged male drivers.
"We can only speculate as to why these differences
exist," Mannering said. "Possibilities include
differences in reaction time and physical
differences relating to height, weight and body
structure and vehicle design attributes that affect
drivers differently. Another possibility is that
vehicle safety systems, such as safety belts and
airbags, may be more effective for some age and
gender categories than for others."
While alcohol played a role in some categories, such
as middle-aged female fatalities, its impact was not
statistically significant for most age and gender
categories, Mannering said.
"In many cases, alcohol consumption may have an
indirect effect by increasing the probability of not
wearing a safety belt, speeding and the likelihood
of certain types of collisions, but once you know
these factors, the direct effect of alcohol on
injury severity may not be statistically
significant," he said. "For the most part, if you
are drunk and hit a utility pole at 70 mph, you will
have the same injury probabilities as if you are
sober and hit a utility pole at 70 mph. On the other
hand, whether you would have been going 70 mph and
hit the utility pole if you were sober is another
question - one that we do not address in this paper
because our statistical models are conditioned on
the accident having occurred."
Future areas of research should be pursued,
Mannering said, including an expansion of analyses
to consider accidents involving more than one
vehicle and accidents in other geographical areas;
analyses of the effect of various vehicle safety
systems on drivers of different height, weight and
body structures; and comprehensive analyses of male
and female age-related responses in accident
situations.