Respondents: 2500 motorists were randomly sampled. Of this number 504 responded with a completed questionnaire. A further 118 responded via the E-questionnaire. The tables below indicate the demographic details of the respondents.
|
17-25 |
26-34 |
35-43 |
44-52 |
53+ |
Total |
Male |
50 |
75 |
69 |
52 |
64 |
310 |
Female |
105 |
50 |
63 |
46 |
48 |
312 |
Total |
155 |
125 |
132 |
98 |
112 |
622 |
|
Low
Group |
Low/Medium
Group |
Medium/High
Group |
High
Group |
Total |
Male |
49 |
66 |
65 |
43 |
223 |
Female |
69 |
34 |
10 |
2 |
115 |
Total |
118 |
100 |
75 |
45 |
338 |
|
Low
Group |
Low/Medium
Group |
Medium/High
Group |
High
Group |
Total |
17-25 |
34 |
14 |
14 |
1 |
63 |
26-34 |
22 |
22 |
15 |
27 |
86 |
35-43 |
28 |
23 |
18 |
9 |
78 |
44-52 |
15 |
22 |
18 |
4 |
59 |
53+ |
19 |
19 |
10 |
4 |
52 |
Total |
118 |
100 |
75 |
45 |
338 |
|
|
|
|
|
|
|
Total
Recorded RTAs |
Male |
4 |
602 |
253 |
29 |
265 |
4 |
158 |
Female |
21 |
44 |
21 |
204 |
7 |
56 |
103 |
Total Recorded RTAs |
7 |
110 |
47 |
50 |
36 |
11 |
261 |
1. One female had been involved in two head-on accidents.
2. Two males had been involved in two rear-end accidents, and a further two had been involved in three rear-end accidents.
3. One male had been involved in two intersection accidents.
4. One female had been involved in two intersection accidents.
5. Three males had been involved in two single-vehicle accidents.
6. One female had been involved in three accidents involving either a pedestrian and/or cyclist.
|
One
RTA |
Two
RTAs |
Three
RTAs |
Four
RTAs |
Five
RTAs |
Total |
Male |
81 |
22 |
8 |
1 |
1 |
113 |
Female |
72 |
12 |
1 |
1 |
0 |
86 |
Total |
153 |
34 |
9 |
2 |
1 |
199 |
|
Total |
||||||
17-25 |
0 |
25 |
15 |
15 |
12 |
2 |
69 |
26-34 |
3 |
30 |
7 |
14 |
10 |
2 |
66 |
35-43 |
1 |
23 |
12 |
10 |
9 |
4 |
59 |
44-52 |
1 |
15 |
4 |
6 |
2 |
0 |
28 |
53+ |
1 |
11 |
8 |
4 |
0 |
1 |
25 |
Total |
6 |
104 |
46 |
49 |
33 |
9 |
247 |
Single Accidents:
There are two routes to being involved in one accident within three years. In
addition to the primary endogenous variable (one accident), three other
endogenous predictors were also found with the use of the above linear
regression technique. The first (exposure) was dependent upon another exogenous
factor, cognitive anxiety. Age, the third exogenous factor, was a direct link
dependent on no other factors. In turn, cognitive anxiety was predicted by seven
exogenous factors, which included somatic anxiety, sex, cognitive failure, risky
driving behavior, vehicle maintenance, urgency and sensation seeking.
Evaluating the Model:
Path |
Path Coefficient (β) |
Value (β) |
Effect Type |
P
.576,
-.157, .108 |
(+.52)
(-.15) (+.11) |
+.008 |
(indirect
effect) |
P
.332, -.157, .108 |
(+.16)
(-.15) (+.11) |
+.002 |
(indirect
effect) |
P
.375, -.157 , .108 |
(+.15)
(-.15) (+.11) |
+.002 |
(indirect
effect) |
P
.232, -.157 , .108 |
(-.14)
(-.15) (+.11) |
+.002 |
(indirect
effect) |
P
.220, -.157, .108 |
(+.13)
(-.15) (+.11) |
+.002 |
(indirect
effect) |
P
.151, -.157 , .108 |
(-.14)
(-.15) (+.11) |
-.002 |
(indirect
effect) |
P-.243, -.157 , .108 |
(+.10)
(-.15) (+.11) |
+.001 |
(indirect
effect) |
P
.379 |
(-.13) |
-.13 |
(direct
effect) |
* With respective
correlation coefficients
The first of these, safety
risk estimation (i.e. shirking personal safety and vehicle legality) is
predicted by the type of vehicle used, risky driving behavior (reckless behavior,
e.g. speeding, racing against other vehicles), and somatic anxiety.
Moving across to the other
predictor, we see high sensation seeking being implicated in the equation. In
turn, we also see high sensation seeking being predicted by sex, age, and
insurance group of vehicle. In addition, we also see that sensation seeking is
predicted by hostility (a TABP trait), cognitive anxiety, and risky driving behavior.
Finally, the third
exogenous variable that predicts multiple accidents is vehicle maintenance. In
turn, this was predicted by type of vehicle and sex.
It is also observable that
there is a relationship between safety risk estimation and vehicle maintenance.
Evaluating
the Model:
Path |
Path
Coefficient (β) |
Value
(β) |
Effect
Type |
P
.263,.214 |
(+.20)
(+.20) |
+.040 |
(indirect
effect) |
P
.245,.214 |
(+.17)
(+.20) |
+.034 |
(indirect
effect) |
P
.461,.155 |
(+.34)
(+.08) |
+.027 |
(indirect
effect) |
P-.357,.155 |
(-.30)
(+.08) |
-.024 |
(indirect
effect) |
P-.373,.155 |
(-.44)
(+.08) |
-.035 |
(indirect
effect) |
P
.315,.155 |
(+.22)
(+.08) |
+.017 |
(indirect
effect) |
P
.334,.155 |
(+.26)
(+.08) |
+.020 |
(indirect
effect) |
P-.238,.155 |
(-.24)
(+.08) |
-.019 |
(indirect
effect) |
P
.278,.155 |
(+.18)
(+.08) |
+.014 |
(indirect
effect) |
*
With respective correlation coefficients
Examining
the values for each path, it can be seen that the strongest path to being
involved in more than one accident within three years is the indirect path from
motorist etiquette via safety risk estimation.
Accident
Characteristics:
Head On: This type of accident is solely predicted by the Type A trait of urgency.
In turn, urgency is predicted by a combination of factors, two of these (4 and
5) are derived from the CFQ factor analysis, the others are; high life imbalance
and competitiveness (two other Type A traits), elevated cognitive anxiety, low
safety risk estimation, and high sensation seeking.
Evaluating
the Model:
Path |
Path
Coefficient (β) |
Value
(β) |
Effect
Type |
P
-.045, .137 |
(-.08)
(+.14) |
+.011 |
(indirect
effect) |
P
-.055, .137 |
(-.09)
(+.14) |
-.012 |
(indirect
effect) |
P
.072, .137 |
(-.10)
(+.14) |
-.014 |
(indirect
effect) |
P
-.031, .137 |
(+.09)
(+.14) |
+.012 |
(indirect
effect) |
P
.055, .137 |
(+.45)
(+.14) |
+.063 |
(indirect
effect) |
P
.017, .137 |
(+.28)
(+.14) |
+.039 |
(indirect
effect) |
P
-.070, .137 |
(-.16)
(+.14) |
-.022 |
(indirect
effect) |
*
With respective correlation coefficients
Examining
the values for each of these paths in can be seen that the strongest path to
Head On Accident is the indirect path from the TABP trait Life Imbalance via the
TABP trait Sense of Urgency.
Rear End: This type of accident is solely predicted by high exposure. In turn, high
exposure is predicted by low cognitive anxiety and high risky driving behavior.
Evaluating
the Model:
Path* |
Path
Coefficient (β) |
Value
(β) |
Type
of Effect |
P
.157, .167 |
(+.15)
(+.17) |
+.025 |
(indirect
effect) |
P-.127, .167 |
(-.11)
(+.17) |
-.018 |
(indirect
effect) |
*
With respective correlation coefficients
Examining
the values for each of these paths in can be seen that the strongest path to
Rear End Accident is the indirect path from Cognitive Anxiety via Exposure to
the Road Environment.
Single-Vehicle Accident: This type of accident is predicted by high risky
driving behavior, high sensation seeking, and a high level of competitiveness (a
Type A trait).
Evaluating
the Model:
Path* |
Value
(β) |
Effect
Type |
P-.214 |
-.19 |
(direct
effect) |
P
.122 |
+.14 |
(direct
effect) |
P-.180 |
-.12 |
(direct
effect) |
*With
respective correlation coefficients.
Examining
the values for each of these paths in can be seen that the strongest path to
Single Vehicle Accident is the direct path from Safety Risk Estimation.
Accident Involving Pedestrian or Cyclist:
This type of accident is predicted by low exposure, low vehicle maintenance, low
safety risk estimation.
Evaluating
the Model:
Path* |
Value
(β) |
Type
of Effect |
P
.068 |
+.13 |
(direct
effect) |
P
-.122 |
-
.15 |
(direct
effect) |
P
-.111 |
-
.11 |
(direct
effect) |
P
-.127 |
-
.13 |
(direct
effect) |
*
With respective correlation coefficients.
Examining
the values for each of these paths in can be seen that the strongest path to
Accident Involving either Pedestrian or Cyclist is the direct path from Vehicle
Maintenance.
Comparison of
Single and Multiple RTA Path Diagrams
Single RTAs: By referring to
the tables of sex of respondents by type of accident reported and number of
reported accidents, it can be observed that over 76% of recorded RTAs, within
the last three years, were isolated incidents. Initial observation of the path
diagram for being involved in a single accident within the last three years
shows that there are a number of indirect routes to being involved in an
accident in addition to one direct route. The indirect routes are comprised of
two endogenous variables (in addition to the primary dependent variable; one
accident). These are exposure to the road environment followed by cognitive
anxiety. In turn, eight exogenous factors independently complete the
‘chain’; they are as follows, somatic anxiety, sex of road user, cognitive
failure, risky driving behavior, vehicle maintenance, sense of urgency and
sensation seeking.
By taking a closer examination of the path diagram, the relationships between the factors are revealed. Exposure, the strongest predictor of being involved in a single accident within the last three years, is positively related to the dependent variable. From this we can assume that as exposure increases so to does the likelihood of being involved in an accident. To elucidate, the exposure factor is comprised of a number of variables, these include, weather conditions that the road user is prepared to drive in, how many times a day they drive, the highways they typically drive on, and their average miles per year. For arguments sake, if a road user was typically prepared to drive in all weather conditions, was likely to drive more than twice a day, predominantly used urban roads, and on average drove more than 25,000 miles per year, he would be classed as a high exposure road user. On the other hand, a road user who is only prepared to drive after dark (and avoids heavy rain, fog and snow and ice), uses their vehicle less than seven times a week, prefers motorways and dual carriageways, and has an annual mileage between 100-5000 miles, would be classed as a low exposure road user. Research has also shown that very high exposure is likely to lead to fatigue, which in turn may cause the motorist to fall asleep ‘at the wheel’ (e.g. Brown, 1993).
Howard & Joint (1994) report that the business motorist is most likely to fall asleep at the wheel, especially when on a long distance assignment, an a long journey, or commuting across country. Howard & Joint (1994) went on to argue that the number of motorists affected by this problem is likely to be on the rise. In the mid 1980’s, a study of motorway motorists showed fatigue to be a factor in 11 per cent of accidents. The research also showed that around 5 per cent of motorway motorists had lost consciousness, whilst driving, before their accident. The further people travel, the more likely they were to feel sleepy, according to the survey. Of those who had driven less than 100 miles that day 3 per cent felt sleepy at the time of their accident. This figure rose to 14 per cent of people who travel more than 200 miles. More recently, BR Automotive, the auction and car-leasing group, found that approximately 50 per cent of their sample of 1,250 business motorists had fallen asleep at the wheel on one or more occasions. On the day that they were questioned 39 per cent planned to spend six to eight hours behind the wheel on business, whereas 43 per cent planned to spend between three and five hours driving. Motorists were once forced to stop if they wanted to make a telephone call, giving them a chance to ‘stretch their legs’, take some fresh air and visit the toilets. Today, with the advent of cellular phone technology, motorists can technically drive and use the phone at the same time.
Furthermore,
common sense dictates that driving in potentially hazardous conditions, such as
fog, snow and ice, dramatically increase risk due to poor visibility,
drastically reduced breaking distances and probability of vehicle skidding.
To
further investigate the chain of single accident causation, exposure was entered
into the linear regression analysis as the dependent variable. This yielded one
predictor, cognitive anxiety. This, in turn, goes some way to identifying the
role over-confidence plays in single accident causation. To explain further,
cognitive anxiety is a component of trait anxiety, or A-trait as it is sometimes
referred. This component is typified by the person affected displaying a
tendency to perceive certain situations as threatening thereby displaying
negative thought patterns such as worry, feelings of self doubt, and
nervousness. This may play a crucial role in terms of accident causation, as the
diagram shows, individuals with high cognitive anxiety are less likely to have
the high exposure to the road environment that in turn could lead to the
involvement in an accident. On the other hand, road users with low cognitive
anxiety are more likely to have greater self-confidence in their driving ability
and are therefore less reluctant to expose themselves to greater mileage and
frequency of driving, thus increasing the likelihood of involvement in an
accident. To explain further, situations that cause fear or anxiety, depend on
people’s perceptions and emotional reactivity. Because of individual
differences in temperament or experience, some people may find a situation, such
as driving, stressful and others may not. One of the most important variables
that determine whether an aversive stimulus will cause a stress reaction is the
degree to which the situation can be controlled. Situations that permit some
control are less likely to produce signs of stress than those in which other
people, or machines, control the situation (Gatchel, Baum & Krants, 1989).
On the other hand, cognitive anxiety may be related to affective responsibility
in the form of altruistic and moral behavior. A high level of cognitive anxiety
might be associated with being fearful of causing injury or damage to other
road-users, and care about others' feelings. While a low level of cognitive
anxiety might be associated with the disregard, or minimal thought, for the
feelings and rights of other road-users, and the denial of culpability after
poor or dangerous driving. In either case, the anxious individual finds the
easiest method to reduce, or rather control, the anxiety is to minimize the time
spent on the road.
Alternatively,
cognitive anxiety could be a reflection of the individuals’ self-efficacy. To
explain, self-efficacy is a perceived ability to perform a behavior and an
outcome expectation. In the driving situation this could manifest itself as an
optimistic
Most
of the research into trait anxiety and self-efficacy has found a significant
relationship between the two. However, this research has mostly focused on areas
such as academic test anxiety (e.g. Wang & Liu, 2000), and occupational
stress (e.g. Kumari & Singh, 2000). Whereas, the majority of the work on
self-efficacy and driving has concentrated on driving whilst under the influence
of alcohol, (e.g. Wells-Parker et al.,
2000). Nonetheless, past research has shown, when considering the similarity
between self-efficacy and the absence of cognitive anxiety, similar findings to
those implied by the path diagram. For example, Farrow & Brissing (1990)
found that males perceived greater driving skill in risky situations and used
their motor vehicle to enhance self-efficacy more than females. In addition,
they found that male road users scored higher on anger/hostility and sensation
seeking scales. Clearly, further research into other driving related issues and
self-efficacy is required.
Further
examination of the exogenous factors finds somatic anxiety having a causal
relationship with cognitive anxiety. Past research has suggested that somatic
anxiety will affect performance if the extent of the somatic response is so
large that the individual becomes excessively concerned and distracted with
their perceived physiological state, (e.g. Martens et
al., 1990). Nevertheless, the results of the analysis are still surprising
insofar as the model indicates the physical aspect of anxiety, i.e. the
palpitations, sweating and feelings of nausea precede the psychological. This is
similar to Zajonc et al’s (1989)
theory that proposed a radical explanation of emotional expression. Zajonc et
al. (1989) suggested that facial muscles act to tighten facial blood vessels
and regulate cerebral blood flow, which in turn influences subjective feelings
through a register in the brain of subjective temperature. In other words, the
subjective experience of emotions follows facial expression rather than precedes
it. Physiologically, the internal carotid crosses the cavernous sinus, which,
according to Zajonc et al. (1989), may
respond to facial muscle tightening and relaxing. In this view, raising the
temperature of brain blood leads to unpleasant feelings, and lowering it leads
to pleasant ones (Adelman & Zajonc, 1989). Something similar may be
occurring in the path diagram. In this case, it is likely that the adverse
physical symptoms of anxiety are eliciting facial muscle tightening which in
turn raises the temperature of the brain; this then leads to negative affect in
the form of cognitive anxiety.
Sex
was the next variable to be identified by the regression analysis In this
respect, it can be observed that females are more likely to display cognitive
anxiety. This also indicates that females are less likely to have higher
exposure to the road environment that could ultimately lead to the occurrence of
RTA. This is certainly in line with Parry’s (1968) findings that showed
females, in general, displaying more anxiety than males when driving. Parry
(1968) went on to add that this was likely due to females having a less
aggressive nature both in and outside the motoring situation. Fundamentally,
Parry’s (1968) assumption was that males were the predominant sex on the road
and their very presence made the road an aggressive place. As a result, females
entering this aggressive environment were more likely to exhibit anxiety. In an
attempt to diminish this anxiety, female motorists may dramatically reduce the
amount of time they spend driving, i.e. exposure minimized.
The
next exogenous factor that predicts cognitive anxiety is cognitive failure (or slips
and lapses as it is sometimes referred). Slips occur when the understanding
of the situation is correct and the correct intention is formulated, but the
wrong action is accidentally triggered, i.e. slips represent the occurrence of
an alternative and incorrect action. On the other hand, lapses represent the
failure to carry out an action. As such, they are tied directly to failures of
memory. In this case, the path diagram shows a positive relationship between
cognitive anxiety and cognitive failure. A likely explanation for this stems
from road users self awareness of their own cognitive limitations. In other
words, individuals who are prone to cognitive failure are likely to be conscious
of the fact. Furthermore, they are more likely to become anxious when they
encounter a situation that could be potentially dangerous (such as driving) if
they made a slip-up or had a lapse of attention or memory. This could lead to an
increase in stress and anxiety when driving, and in turn (as the path diagram
demonstrates) low exposure through concern over driving. It should also be noted
that cognitive failure correlates highly with somatic anxiety the second
component of trait anxiety. This was to be expected as the somatic component of
anxiety often accompanies the cognitive component if a highly stressful
situation is encountered.
The
next factor that forms part of the route to having one accident is risky driving
behavior (e.g. jumping traffic queues, driving too close to the vehicle in
front). In this case, the relationship between risky driving behavior and
cognitive anxiety is negative. This means that road users who display a high
degree of risky driving behavior are more likely to have low cognitive anxiety,
i.e. they are confident (possibly over-confident) in their abilities as a
motorist. Not surprisingly, there is also a highly significant correlation (and
covariance) between this factor and the final endogenous factor; sensation
seeking. This bolsters established research that has discovered similar results.
For example, As Arnett, Offer & Fine, (1997) found, sensation seeking
correlated highly with risky driving behavior when paired with aggressiveness.
Indeed, as risky driving behavior and sensation seeking are so significantly
correlated (they have identical regression coefficients with cognitive anxiety)
one can assume that they are closely interrelated. In this respect, it can also
be assumed that, similar to sensation seeking, risky driving behavior is also a
mutually reinforcing activity, i.e. if the consequence of an action, like
driving over the speed limit, causes positive affect within the perpetrator it
is likely to be repeated, (e.g. Lecoeur et
al., 1997). In other words, if an episode of risky driving elicits a 'high'
within the motorist it is conceivable that the motorist will attempt to repeat
the episode in order to achieve the same, or similar, feeling of elation. In
addition, the behavior is also likely to be repeated as success raises
self-efficacy and failure lowers it, i.e. if the episode of risky driving has a
successful outcome (no RTA) the road user is more likely to have his belief of
being a good motorist boosted. However, it should be noted that the fundamental
difference between the two factors is likely to be state and trait. Sensation
seeking is likely to be more general in nature, and extend to other areas of
life. On the other hand, risky driving behavior is, as the phrase suggests,
specific to driving vehicles. It should also be noted that there was also a
significant relationship between high risky driving behavior and male road
users. This goes some way in supporting the established research and government
data that illustrate the over representation of male road users in RTA
statistics. Subsequently, another significant relationship was recorded between
high sensation seeking and male road users.
It
was also discovered that road users that never service their vehicle were more
likely to exhibit high cognitive anxiety. Whereas, road users that frequently
service their vehicle were less likely to display cognitive anxiety. This
propensity is likely to occur, as the motorist is more confident to undertake
his vehicles servicing. However, the reason why this preoccupation with the
safety and maintenance of the vehicle eventually leads to high exposure and RTA
is unclear. Perhaps periodically maintaining ones vehicle is indicative of an
enthusiastic motorist, this would go some way to explain the connection between
low cognitive anxiety and high exposure. A significant correlation was also
noted between vehicle maintenance and sex of road user, with males being more
likely to service their vehicles on a regular basis and females being more
likely to neglect their brakes, oil/ coolant levels and tyre pressures. Behavior
such as this can generally be observed in young male road-users, i.e. they can
often be found working on their vehicles in an attempt to improve performance
and reliability.
The next exogenous factor to predict cognitive anxiety is the TABP trait
sense of urgency. In the path diagram, it can be observed that a high sense of
urgency is related to high cognitive anxiety. Again, this is faithful to what is
already known about individuals who exhibit this trait. It is long established
that Type A individuals seem to be in a constant struggle against the clock.
Often, they quickly become impatient with delays and unproductive time, schedule
commitments too tightly, and try to do more than one thing at a time. This can
be highly stressful and is likely to lead to a heightened level of cognitive
anxiety. As Perry (1986) found, sense of urgency was a significant factor that
leads to a deficit in driving performance. A significant relationship was also
noted between urgency and risky driving behavior. This is to be expected, as
road users in a hurry maybe more likely to take extra chances when driving, e.g.
speeding,
overtaking on the inside lane, making calls on their cellular phone, etc.
Finally,
the remaining exogenous variable is a direct path from age to one accident
within the last three years. Predictably, the path diagram indicates that the
younger the road user, the more likely it is that they will be involved in an
RTA. By examining Table , it can be observed that road users aged between 17-25
have had the most singularly occurring RTAs within the last three years. Indeed,
the table indicates that of the sample of 17-25 year olds, over 43% had been
involved in one accident. The age group 26-34 followed closely behind with over
40% of the sampled road users reporting that they had also been involved in one
accident within three years. This trend in decreasing percentiles continued
until the 53 plus age group, at which stage, there was an upturn in the RTAs.
This adds further support to government statistics, and established research,
that states young motorists are more at risk of being involved in RTAs compared
to older motorists.
Examining
the correlations with the other endogenous factors and variables, it can be
observed that the younger age groups have the strongest relationship with
sensation seeking and risky driving behavior. In each case, the younger the road
user the more likely it is they will engage in sensation seeking and risky
driving behavior. Again, this supports established research (e.g. Trimpop, Kerr
& Kirkaldy, 1998; Arnett, Offer & Fine, 1997).
Multiple RTAs: By referring to
the tables of sex of respondents by type of accident reported and number of
reported accidents, it can be observed that nearly 24% of recorded RTAs, within
the last three years, occurred on two or more occasions. By examining the path
diagram, being involved in multiple RTAs (two or more) within the last three
years, it can be observed that there are two possible endogenous factors that
the exogenous factors predict en route to multiple accidents. The first of
these, safety risk estimation, was originally conceived through factor analysis
of the aberrant driving behavior items on the questionnaire. This factor
comprises of the items that are related to the way motorists take risks that are
more likely to jeopardize their own safety, and driving license, rather than the
safety of others. To elucidate, if a motorist fails to wear a seat belt (one of
the factor variables) it will significantly increase personal injury in the
event of an RTA, however the failure to perform this action will have no bearing
on the other motorist’s safety. In addition, driving without MOT and/or
insurance (the second variable in the factor) is likely to lead to a fine and
penalty points in the event of a stop check by police. Whereas, driving without
an MOT is likely to lead to an invalid insurance policy in the event of an
accident. The annual MOT is also important in the identification of vehicle
safety faults.
The first exogenous factor to predict safety risk estimation is motorist etiquette. This factor was extracted from the aberrant driving behavior items, and is characterized by behaviors such as, failing to use indicators, and failing to dip headlights for an incoming vehicle at night. Essentially, these behaviors do not necessarily have a direct relationship with sensation seeking. However, they are more closely linked to a disregard for other motorists. In this case, low motorist etiquette predicts low safety risk estimation, i.e. a road user who has little consideration for other road users would also likely disregard their own personal safety and their vehicle’s legality. In addition, it can also be observed that motorist etiquette correlates highly with risky driving behavior, which was also extracted from the same original aberrant driving behavior items on the questionnaire. In turn, this chain of behaviors would lead to the occurrence of two or more RTAs within the last three years.
Risky
driving behavior, the next exogenous factor to predict safety risk estimation,
revealed behaviors, such as speeding, jumping traffic queues, and racing against
other vehicles, that were related to safety risk estimation. In other words, a
road user who frequently engages in risky driving is more likely to disregard
their own personal safety and their vehicle’s legality. This then goes on to
predict multiple accidents.
An
alternative route, still utilizing risky driving behavior, has the exogenous
factor exerting a strong predictive influence over sensation seeking. As
mentioned earlier in the text, this relationship is predictable as the two
factors have been shown in previous research to correlate highly (e.g. Arnett,
Offer & Fine, 1997).
By
referring to the tables for sex and age of respondents by type of accident
reported, males can be observed as being over-represented in recorded multiple
RTAs, i.e. over 69% of road users that had reported involvement in two or more
RTAs within the last three years were male. Examining the path diagram, males
are found to be more likely to exhibit sensation-seeking behaviors that go on to
predict multiple RTAs. From this it can be assumed that the mediating factor in
male multiple RTAs is sensation seeking behaviors. This discovery offers further
support to earlier research, such as Arnett’s (1991), that found sensation
seeking induced driving recklessness common in young adult males. Whereas, Zhong
et al. (1998) found young males more likely to engage in risk taking behaviors
such as driving too fast for the conditions, exceeding the speed limit, and
driving while impaired by either alcohol or drugs.
Surprisingly,
the results indicate that the 26-34 age group, followed by the 35-43 age group,
have had the greater incidence of multiple RTAs within the last three years. The
age group least represented in multiple RTAs was the 53 plus group, followed by
44-52 year olds. This finding offers further support to Arnett (1991), who found
driving related sensation seeking to strongly persist in male motorists aged up
to twenty-seven.
Likewise,
the path diagram also shows a strong relationship between sex and insurance
group, insofar as male sensation seekers preferring vehicles that have higher
insurance groups. To reiterate, as a rule, the higher the insurance group the
greater the performance and desirability of the vehicle. From this it can be
assumed that sensation seekers favor vehicles with greater performance in order
to reach a feeling of elation upon demand more easily. For example, they can
accelerate quicker, and as their vehicles are more likely to have superior road
holding, they can approach bends in the road faster.
It
was also noted that two TABP
character traits predicted involvement in sensation seeking activities that
would lead to the occurrence of multiple RTAs. Both hostility and urgency had
the strongest relationship between any two exogenous factors in the path
diagram, thereby demonstrating their common association. Indeed, research has
shown that there is a relationship between hostility and sensation seeking. For
example, McMillan et al. (1992) found
road users with multiple offences for driving under the influence of alcohol
were significantly higher than first offenders in hostility and sensation
seeking. Multiple offenders also had significantly more accidents, and traffic
tickets than first offenders. In addition, Whiteside & Lynam (2001) found an
association, via impulsiveness, between urgency and sensation seeking.
The
last exogenous factor to predict sensation seeking, and ultimately multiple
RTAs, is cognitive anxiety. Similar to the path diagram for being involved in a
single accident within the last three years, we find individuals with high
cognitive anxiety being less likely to have high sensation seeking behavior that
would eventually lead to the involvement in multiple accidents. On the other
hand, road users with low cognitive anxiety are more likely to have greater
self-confidence in their driving ability and are therefore more likely to
display higher sensation seeking behavior and, in turn, increased likelihood of
involvement in two or more RTAs.
A Comparison of
RTA Characteristics
Head-on Accident: The first type
of RTA to be distinguished was Head-on accident (where two vehicles traveling in
opposite directions on the same road collide). By referring to the path diagram,
it can be observed that this revealed one endogenous factor that predicted a
further seven exogenous factors. This data is comparable to Perry's (1986) study
that found TABP traits significantly related to the incidence of RTAs and
violations. Perry (1986) also indicated that, according to his findings, the
sense of urgency factor was the main contributor to the deficit in driving
performance that led to RTAs and violations.
However, Parry's (1986) sample size was low, and as a result, the
findings were generalized to include all types of RTA characteristics. However,
based upon the sample of respondents, the results of this study have indicated
that true TABP road users, i.e. individuals that score highly in all four TABP
traits, are only more likely to be involved in a Head-on accident. Whereas,
individuals that exhibit one or two of the traits are more likely to be involved
in a single RTA or multiple RTA within three years respectively.
Sense
of urgency is the sole mediating factor in the path to Head-on accidents.
Therefore, it can be assumed that it is the strongest Head-on RTA determining
Type A trait from which all the other factors are channeled. It can also be
assumed that this causality occurs as urgency brings with it increased speed and
a predilection to take more risks in order to get a destination in less time.
This is exacerbated by significant life-imbalance, i.e. the Type A individual
is, as a rule, highly work orientated, and therefore is more likely to have a
'no holds barred' approach to achieving deadlines, and being seen as efficient.
In addition, the presence of the Type A competitive achievement orientation
trait adds to the probability that the road user will resort to increased speed
and risk taking to get ahead of the other motorists. Whilst hostility compounds
the likelihood that the Type A road user is unlikely to 'back down' from an
altercation, or is likely to perceive another road user's act as having hostile
intent. Urgency is further compounded by increased cognitive anxiety and
cognitive failure. This suggests that, as pace of life increases so to does fear
of failure. In turn, pre-occupation with getting to one's destination on time
causes a competition of cognitive resources. For example, over concern about
being late diverts attention away from the task, i.e. driving. This is likely to
lead to an increase in the occurrence of slips, lapses and mistakes. All too
often, these result in a RTA (but in this case the characteristic is Head-on).
Earlier
in the text the fundamental difference between sensation seeking and risky
driving behavior were discussed. The conclusions drawn indicated that the
underlying difference between the two was trait and state respectively. By
referring to the path diagram for Head-on accidents, sensation seeking is shown
to have an indirect effect, via urgency, in the chain of accident causation.
From this it can be assumed that road users that display high sensation seeking
in general are more likely to be exhibit urgency when driving. This can be
corroborated by recent research that has shown both urgency and sensation as
being two distinct, but related, facets of personality associated with impulsive
behavior (Whiteside & Lynam, 2001).
The
final factor to predict urgency is safety risk estimation. However, contrary to
the positive relationship found with multiple accident involvement, high sense
of urgency, in this case, is likely to be predicted by low safety risk
estimation. One likely reason for this may stem from the typical Type A's
predilection for fastidiousness. In the driving situation, this would manifest
itself as a pre-occupation with seatbelt
fastening, and servicing their vehicles at regular intervals.
Rear-end Accidents: A succession
of regression analyses revealed that the path diagram for rear-end accidents
(Diagram 4a & 4b) was identical to the path diagram for involvement in one
RTA within three years (Diagram 1a & 1b), save for a marginally higher beta
coefficient between exposure and the dependent variable. From this it can be
assumed that, based upon the road users sampled, the majority of single
accidents that occurred, within the three years prior to the commencement of the
study, have had rear-end (where two vehicles traveling in the same direction on
the same road collide) characteristics.
Indeed, by referring to the tables for age and sex of respondents by type of
accident reported it can be observed that the 42% of the recorded RTAs were
rear-end in origin.
Traditionally,
the culpability of rear-end accident causation has been seen as clearly the
fault of the following vehicle. Of course there are some exceptions such as a
'domino effect' series of rear-end collisions, where one vehicle is struck from
the rear with such force that it sets in motion a chain of collisions. However,
as a rule, rear-end accidents are seen as the product of close following
vehicles, or tail-gating as it is sometimes referred, and their significantly
reduced stopping distances.
Single-vehicle Accidents:
Referring to the path diagrams for single-vehicle accidents (Diagrams 5a &
5b), it can be observed that there are three distinct, and indirect routes, to
having an RTA where one vehicle loses control and usually runs of the road.
The
first of these is, similar to the path diagram for involvement in multiple RTAs
(Diagrams 2a & 2b), motorist etiquette and risky driving behavior mediated
by safety risk estimation. A third exogenous variable (main vehicle used) was
extracted in the regression analysis. However, the variable, which implicated
the sampled motor cyclists as being low in safety risk estimation, was
discounted from the path diagram as items within the factor, safety risk
estimation, bore little relevance to motor cycle ownership.
The
second route to involvement in a single-vehicle accident relies, similar to the
path diagram for head-on accident, upon the four TABP traits. However, contrary
to head-on accidents, the principle personality trait that mediates all the
others is competitive achievement orientation. This likely to manifest itself as
a predisposition towards spontaneous acceleration against other road users or
frequently 'exploring' the limitations of their motor vehicle, either assumption
is bolstered by the presence of a fourth exogenous variable that indicates the
typical Type As' penchant for high performance vehicles. Whilst urgency points
towards goal directed behavior, such as getting to an appointment on time,
competitive behavior suggests that the Type A road user is influenced by
recreation or entertainment. From this it can be concluded that the Type A road
user is more likely to be involved in a head-on accident when driving for
business, or necessity, and a single-vehicle accident when driving for pleasure.
The
third indirect route to single-vehicle accidents distinguishes sensation seeking
as the mediating endogenous factor. Again, similar to the path diagram for
multiple accidents (Diagram 2a &2b), it can be observed that the same
combination of factors and variables predict the behavior. The only difference
being, a slightly elevated beta coefficient between sensation seeking and the
dependent variable.
Accidents Involving Pedestrian or Cyclist:
There are three indirect paths that predict accidents involving pedestrians
and/or cyclists (i.e. an RTA in which a vehicle collides with either a
pedestrian or a cyclist). The first path is mediated by exposure, to reiterate,
a factor that combines annual mileage, conditions that may be encountered when
driving, frequency of driving, and the most frequent type of highway used.
Exposure to the road environment has already been implicated as a major
predictive factor when a road user is involved in only one accident within three
years and, almost identically, in rear-end accidents. However, contrary to the
previous path diagrams, the relationship with pedestrian/cyclist RTAs is in the
opposite direction. Here it can be observed, that low exposure to the road
environment leads to the involvement in an RTA. Similar to previous path
diagrams, high cognitive anxiety is seen to have a negative relationship with
exposure, i.e. the higher the anxiety the lower the exposure. It can be
concluded from these relationships that the underlying mechanism is a
combination of parallel processing and lack of experience.
Over-caution,
a pre-occupation with safety and an unwillingness to be exposed to any
unnecessary risks, under normal circumstances, these would be regarded as
commendable characteristics. However, when these behaviors manifest to such a
high degree, as in driving related cognitive anxiety, they can have a
deleterious effect upon task performance. Indeed, this effect often leads to a
competition of cognitive resources and so, as a result, oncoming features in the
road environment, and the execution of driving maneuvers are processed in a
parallel fashion. In other words, stimuli requiring attention, such as speed,
distance to the vehicle in front, position in the road, when indication and
turning is required, etc. would be dealt with individually in a time consuming
manner. This delay in perception can be hazardous as other road users may fail
to be considered.
This
is often reflected in the susceptibility of novice road users to accidents. To
elucidate, every new motorist goes through a period of habituation to the
driving environment. While gaining experience, they process information and
operate their vehicle in a parallel manner. For example, they may cut short a
conversation with a passenger while they undertake an irregular manoeuvre, as
they cannot attend to thee two sets of stimuli. The more experienced the
motorist, the more automatic and serial the information processing and
operation, (James, 1997).
A
typical example of parallel processing sees the road user attempting to attend
to a number of stimuli simultaneously. In the first instance, the motorist is
concentrating intently on the road ahead unconsciously they have decelerated.
Switching their attention to check their speedometer, they realize that they are
moving below the speed limit, and so they adjust their speed accordingly, they
then switch back to monitoring the road ahead. This will continue for the
duration of the journey. However, if there are other distracting stimuli
present, e.g. talkative passenger, mobile phone, heavy traffic, etc. this will
add to the competition of cognitive resources. Nonetheless, for a time, the road
users attention is diverted, and this is when an RTA can occur. This likelihood
is compounded by the presence of the factor that denotes low exposure. To
explain, notwithstanding the negative aspects, i.e. hazardous driving conditions
and fatigue, high exposure is also indicative of experience. In general, the
greater the mileage covered the greater the likelihood of being able to
interpret potential hazards in the road. Indeed, research has shown that
inexperienced road users frequently fixate on a position approximately eight to
ten metres in front of their vehicle. Whereas, experienced road users constantly
vary their scanning pattern of the road ahead (e.g. Green & Senders, 1999).
In the case of accidents involving pedestrians and/or cyclists, the
inexperienced, and anxious, road user may fail to notice a pedestrian or cyclist
venture into the path of their vehicle.
Similarly,
those with their attention focused on other matters not related to the road will
have little thought for other road-users. Again, this stems from the same
competition of cognitive resources. For example, a parent with a car full of
noisy children on the 'school run', or a business man on his mobile phone, will
be less mindful of their driving and other road-users, inadvertently they may
park or maneuver precariously and be subject to an RTA.
The
next indirect path reveals a relationship between pedestrian/cyclist RTAs and
vehicle maintenance. Here it can be observed that low vehicle maintenance is
more likely to predict the occurrence of an RTA. A realistic assumption
considering incorrect tyre pressures and poorly maintained brakes will lead to a
dramatic reduction in stopping distances. This is further compounded by three
other predictors, insurance group, cognitive failure, and sex of motorist.
Firstly, vehicles of higher insurance groups are more likely to be maintained
less than vehicles from lower insurance groups. This is possibly due to their
complicated nature, or the fact that they are still under manufacturers
warranty. Secondly, motorists high in cognitive failure are shown to be more
likely to maintain their vehicles on a regular basis. This may be due to them
not remembering the last time they serviced their vehicle, so they service it
again to be sure. Thirdly, the diagram indicates that females are more likely to
have their vehicles maintained on a regular basis in comparison to males.
The
final indirect path to pedestrian/cyclist RTAs sees low safety risk estimation
as being mediating factor by which risky driving behavior and motorist etiquette
predict accident involvement. Again, this relationship is similar to the
indirect path observable for
single-vehicle accidents.
Re-examining TABP and RTAs
At
best, the results of this study only offer partial support to the previous
research that has claimed a direct causal relationship between TABP and RTA
risk, (e.g. Perry, 1986; Magnavita et al,
1997). Only two characteristics (hostility and urgency), normally associated
with TABP, were found to be associated with sensation seeking behavior that went
on to predict being involved in multiple RTAs within three years. Moreover, only
one TABP characteristic (urgency) was found to be involved in the prediction of
the occurrence of one RTA within three years via mediating endogenous factors of
cognitive anxiety and exposure to the road environment.
However,
when analyzing RTAs by characteristics, i.e. type of crash, it was discovered
that two indirect paths to both head-on and single-vehicle accidents involved
all four of the personality traits. It can be inferred from this that TABP's
relationship with accident involvement is wholly dependent upon the
characteristics of the RTA that the motorist is involved in.
Earlier
in the introduction section, it was discussed in some detail why some
individuals engage in maneuvers that are likely to lead to an accident. By
examining the path diagrams for head-on accidents (Diagram 3a & 3b), and
single-vehicle accidents (Diagram 5a &5b), it can be observed that motorists
who exhibit Type A characteristics are more likely to display these maneuvers.
In order to understand what is occurring between these personality traits and
life threatening RTAs, it will be necessary to examine in detail the underlying
mechanism, albeit theoretically.
One
possible explanation comes from the early frustration
aggression hypothesis, (Dollard et al.,
1939). To summarize, intended partly to translate some of Freud's psychoanalytic
concepts into learning theory terms, Dollard et
al. (1939) published a controversial work entitled Frustration and Aggression. In their own words they saw aggression
as, "...always a consequence of frustration and, contrariwise, ...the
existence of frustration always leading to some form of aggression",
(Dollard et al., 1939). In other
words, while in agreement with Freud that aggression was an innate response;
Dollard et al. (1939) believed that
frustrating situations, that impedes or prevents some form of ongoing
goal-directed behavior, would act as the 'catalyst' for aggressive behavior. A
number of subsequent studies into the displacement of aggression offered some
support for this view. For example, research by Barker et
al. (1941) observed that children who were deliberately frustrated by being
denied access to attractive toys behaved aggressively towards toys with which
they were allowed to play.
Nevertheless,
it soon became apparent that the frustration-aggression hypothesis, in its
original form, was an overstatement. In answer to this, Miller (1941) subtly
altered the hypothesis by arguing that frustration was an instigator of
aggression, but more importantly, situational factors, such as learned
inhibition and fear of retaliation may prevent actual aggressive behavior from
occurring. This meant that although frustration may make aggression more likely,
it was far from being the sufficient cause of aggression. Indeed, it soon became
widely accepted that frustration could produce a variety of responses,
notwithstanding aggression, which included regression, depression, and lethargy,
(Seligman, 1975). In addition, frustration has also been shown in different
situations to produce different responses within different individuals. This was
further supported by Bandura's (1973) claim that frustration might be a source
of arousal, but frustration-induced arousal (like other types of arousal) could
have a variety of outcomes, of which aggression was only one, and whether it
actually occurred was more the result of learned patterns of behavior triggered
by environmental cues. Nevertheless, Kulik & Brown (1979) found that
frustration was more likely to produce aggression if the frustrating stimulus
had not been anticipated, and also if individuals had reason to believe that the
person(s) responsible for the frustration did so deliberately, and without good
cause, thereupon showing the importance of cognitive factors as cues for
aggressive behavior.
From
a similar line of argument, Berkowitz (1962) proposed a number of modifications
to the original frustration-aggression hypothesis. His major argument was that
frustration produced anger rather than aggression. Moreover, what was important
about frustration was the fact that it was psychologically painful, and anything
which is psychologically, or physically painful can lead to an aggressive
'backlash'. For anger or psychological pain to be converted into open hostility,
certain cues are needed; these are environmental stimuli associated either with
aggressive behavior or with the frustrating object or person. In support of this
assumption, Marks (1990) found, in a study of moods and emotions on motorist behavior,
that negative effects such as irritability and anger can find behavioral
expression in hostile or aggressive acts. In turn, this would lead to
deterioration in driving performance.
It
has only been lately that the value of the hypothesis, as a possible explanation
of road user aggression, has been recognized. Notably, Shinar (1998) has seen
increasing traffic congestion and delays as a cause of the rise in aggressive
driving. According to Shinar (1998), this increase stems from traffic conditions
that hinder road users from reaching their goals, e.g. mobility and pleasure.
NEED MORE FROM SHINAR
Putting
these points in order, we may end up with a model similar to the one below,
(Figure iv.).
Figure
iv. The Chain of Active Accident Causation Using Berkowitz's Revised
Frustration-Aggression Hypothesis (1962)
![]() |
Time
Looking
at the above example, (Figure iv.) frustration is likely to occur within the
TABP motorist as their sense of urgency, a key component of the personality
trait, will be impeded by the slow moving traffic. The effect of this will be
amplified by their other key TABP component, hostility. As Kulik & Brown
(1979) stated, anticipation at this stage may play an important role, i.e. if
the slow traffic was anticipated then it would be less likely that frustration
be transformed into anger. Alternatively, there may be an initial evaluation of
who is responsible for the slow traffic. If a specific individual could be
targeted, e.g. a car towing a caravan, or a learner motorist, then it would be
more likely that anger followed frustration. At this point, if the stimulus
remains unchanged, or if there is a revaluation of responsibility for the delay,
anger may give way to open aggression and a risky driving maneuver. In support
of this assumption, the New York Times July 18 (1997) reported the Chief Federal
Highway Safety Officer for the United States, as declaring at a Congressional
hearing on road safety, that several factors were involved in every car crash.
However, rage was present in two-thirds of the 41,907 traffic related deaths,
and in a third of the nonfatal crashes, during 1996, which resulted in three
million injuries. "The more serious the crash, the more likely that
aggressive driving was involved," he argued. However, Seligman (1975) noted
that a motorist not prone to aggressive expression may exhibit more passive behaviors
when confronted by the slow moving traffic, e.g. depression, lethargy.
By
their very nature, most motor vehicles are steel 'jackets' encapsulating their
occupant. It has been suggested that they could unconsciously could be regarded
by the motorist as a form of 'suit of armour', thus lowering even further the
inhibitions that 'hold back' the aggression (Marsh & Collett, 1986).
Strengths and Limitations of Path Analysis for RTAs
By
using path analysis, it is possible to identify and focus on the factor in each
route that would be easiest to modify with a view to reducing RTAs. In the case
of being involved in a single accident, it is possible to declare that reducing
exposure should decrease the likelihood of being involved in an RTA.
Alternatively, if it is impractical to reduce exposure (e.g. the road user
drives for a living) then we can attempt to lower the motorist's self-efficacy,
making him comes to terms with his actual skill as a motorist rather than his
perceived skill. As stated earlier in the text, research has consistently found
that road users tend to over-rate their driving skill higher than it actually is
(e.g. Brown & Groeger, 1998; Delhomme, 1991).
In
each path diagram, additional arrows can be seen pointing into each endogenous
node (factors taken as dependent variables) to signify unexplained variance.
This is the variation within the factor due to other factors not included in the
analysis. However, the variance explained by the factors in both multiple and
single RTA path diagrams are still somewhat low. Therefore, it must be stressed
that other factors, not included in the analyses, also contribute to RTAs.
Ultimately, these factors would be difficult, if not impossible, to measure in a
questionnaire based upon psychological correlates. For example, a study by Abdel
& Radwan (2000) demonstrated the importance of heavy traffic volume, narrow
lane width, larger number of lanes, urban roadway sections, narrow shoulder
width and reduced median width in the causation of RTAs, indicating the
importance of civil engineering factors. Whereas, Rumar et
al. (1989) found headlights, a crucial factor in vehicle detection on the
road, and despite relatively small numbers occurring in accident statistics,
vehicle/equipment related failure should also be considered (e.g. Treat et
al., 1977; Joshua & Garber, 1992). The assumption that there are other
random factors at work, outside the scope of the questionnaire, is further
encouraged by the failure of the multiple regression analysis to yield any
significant results for intersection and sideswipe accident characteristics.
This
dichotomy is also compounded by the likelihood that a proportion of the road
users who completed the questionnaire were passive recipients, as opposed to
active participants, in the causation of the RTAs recorded. A previous study by
the author (McNally, 1999), using a smaller sample size and number of factors,
found diversity between the path diagrams for passive and active accident
involvement. However, this course of analysis was not pursued in this study due
to a number of methodological problems. For example, it was discovered that
attempting to distinguish between passive and active RTAs leads to inaccuracies
within the data set. To explain, some road users may be inclined to report their
involvement as being passive when, in truth, it should be active. The reason for
this may stem from a distorted subjective perception of their culpability. For
example, it may be found that, due to their inaction, they caused a vehicle to
swerve and collide with another. In the first instance, it appears they were not
to blame as their vehicle remained unscathed. However, under careful scrutiny,
it is observable that they were the cause of the accident. Nevertheless, because
their vehicle has no damage they believe it was the other party’s fault. Under
these circumstances, it is easier to classify all RTAs equally and address the
dichotomy later in the discussion.
Strengths and
Limitations of the Internet Questionnaire
In
the last few years, it has become possible to conduct meaningful behavioral
research via the Internet. In May 1999, the American Psychological Society list
of Psychological Research on the Net reported that the number of Internet based
experiments and surveys had nearly doubled in less than twelve months. Of the
experiments listed in the APS Web site, there were 24 in social psychology, 13
in cognitive, 8 in sensation/perception, 5 in health psychology, 4 in
developmental, 3 in clinical, 3 in personality and industrial-organizational, 2
in biological, 2 in emotions, and one in general psychology. Although this list
does not include all experiments, it gives a proportional estimate that
indicates the growth of research conducted via the Web.
Surprisingly
little research has gone into using the Internet as a method of psychological
questionnaire delivery. The few studies that have investigated Internet based
surveys have found that the Internet-mediated version had similar psychometric
properties to its conventional equivalent and compared favorably as a measure of
self-monitoring (Buchanan & smith, 1999). Further results suggest that
findings from Web-based questionnaire research were comparable with results
obtained using standard procedures (Davies, 1999). Whereas, Birnbaum (2000)
argued that some comparisons show that Web data are of higher quality than lab
data. However, surveys administered over the Internet have been plagued by low
response rates, and at times have provoked anger from targeted individuals
towards researchers sending offensive unsolicited e-mail, (e.g. O'Neil &
Penrod, 2001; Cho & LaRose, 1999).
The
results found a significant difference between male and female respondents in
both questionnaires. To elucidate, significantly more females responded in the
hand delivered questionnaire than males. In addition, a highly significant
number of males responded to the e-questionnaire compared to females.
Furthermore, it was also found that there were more respondents to the
traditional method of questionnaire delivery despite the two methods running
concurrently.
This
goes some way to suggest that the Internet is good for some areas of social
science research but not for others. The researcher suggests that the limited
number of respondents to the Internet questionnaire was due to the passive
nature of the internet, i.e. the researcher has to wait for the respondent to
visit their site rather than actively ‘going out’ and sampling them.
Information is everywhere on the Internet, existing in large quantities and
continuously being created and revised. The constant distraction of this
competing material can make it difficult to get people to come to your sight,
let alone take the time to fill in a detailed questionnaire.
In
addition, some websites are more likely to be visited by males rather than
females (and vice versa). There may be an equal ratio of male and female
motorists in the UK, but the research has indicated that females are less likely
to pursue driving related issues as an interest on the World Wide Web. For fear
of disappointment, careful consideration about target populations would benefit
future Internet based surveys.
Implications for
Road Safety Measures
In-vehicle Hardware: Many solutions have bee put forward in an attempt to curb the rising number of incidents of aggressive and risky driving. As a result, a number of researchers have speculated that some of these could take the shape of in-vehicle hardware. Part of the rationale for this stems from research that has shown that when people are aware of being observed they tend to modify their behavior. This phenomenon could potentially be used to encourage individuals to behave more safely when driving if there were means of providing feedback to the motorists about their behavior on the road. So-called 'vehicle data recorders' offer such a means of providing behavioral feedback by confronting motorists with their recorded driving actions. In one such experiment to test the feasibility of their use, Wouters & Bos (2000) conducted a field trial with the objective of investigating whether this feedback mechanism would reduce the number of road traffic accidents in everyday driving conditions. In the study, seven experimental vehicle fleets were involved, which varied widely in terms of the kind of transport sector concerned, the type of vehicles used, and the traffic circumstances in which the vehicles are operated. In total, accident and exposure data were collected for 840 vehicles of which 270 equipped with a recorder. During an observation period, which represented over three thousand vehicle years, the vehicles were involved in over eighteen hundred RTAs. Analysis of the effects of the use of data recorders in these fleets resulted in an average estimated accident reduction of some 20% thus demonstrating the usefulness of the device.
The
Department of Transport has also shown interest in a apparatus invented a few
years ago to complement the European Community's drive programme. DRACO,
or Driving Accident Co-ordinating Observer, is a tool similar to the in
flight recorder, or 'black-box', of an airplane. It is said to monitor, and
record in the event of an accident, a vehicle's speed, acceleration, braking and
illumination. Project researchers maintain that the device would significantly
alter the behavior of road users.
Similarly, an in-car computer from the Netherlands has been developed that relays corrective audio-visual messages to the motorist taken from sophisticated electronic sensors situated throughout the vehicle. The computer, which is hoped will be made standard in all cars, also has an innovative collision avoidance system that activates a mechanism which increases counter-force on the accelerator pedal in the eventuality of venturing too near to the car in front. Nevertheless, lack of collusion between governments, motor vehicle manufacturers, and more importantly pressure groups, realistically consigns such devices to the realms of science fiction, at least for the foreseeable future.
Other
methods of mechanical intervention include an advanced brake warning system
(ABWS), which is a mechanism that activates the brake lights in response to a
rapid disengagement of the gas pedal, before the motorist's foot reaches the
brake pedal. Previous studies showed that such rapid releases of the accelerator
pedal are typically followed by brake activation, and the ABWS can prevent a
high percentage of rear-end collisions in which an attentive following motorist
maintains a respectable distance from the vehicle ahead. In a study by Shinar
(2000), the RTA involvement of 764 government cars and light trucks was tracked
over an average period of 35 months. The vehicles were matched in pairs, one of
each pair with the ABWS and one without it. Data analyses focused on collisions
in which the government vehicles were rear-ended. Overall, ABWS-equipped
vehicles were not significantly less involved in rear-end collisions. However,
an examination of the struck vehicles showed that the ABWS-equipped vehicles
were involved in fewer rear-end collisions per kilometre driven than were the
vehicles without the ABWS.
However,
another innovative idea that assists the motorist, more passively than the last
two, and has seen widespread acceptance and use, is the Traffic Master. This is
an navigational aid that enables the motorist to avoid congested areas that
could cause undue stress, thus minimizing the risk of becoming an aggressor or
victim of road rage.
At
the time of writing, the American Automobile Association has recently announced
that it intends to introduce a new universal hand-signal motorists can use to
say "sorry", in the hope
that it will curb unnecessary aggression on the road. As to this date however,
the AAA are still unsure as to what
this new signal will be, and have invited the public to come forward with any
appropriate ideas.
Whenever you
catch yourself speeding up your car to get through a yellow light at an
intersection, penalize yourself immediately by turning to the right at the next
corner. Circle the block and approach the same corner and signal light again.
After such penalization, you may find yourself racing a yellow light a second,
but probably not a third time.
Friedman & Rosenman, (1974), p.264
A
further example cited, is related to the motorist taking his vehicle's keys up
long before the vehicle is in sight, i.e. the road user is prepared to drive
well in advance of approaching the vehicle. In this case, the Response-Cost
Technique would involve placing the keys back into the pocket each time they
are impulsively taken out in advance of physically needing them. Friedman &
Rosenman (1974) stated, that for this exercise to be effective the motorist must
keep the keys in his pocket until they actually require to open the car door.
Furthermore, it is reasoned that this exercise will impede the motorist from
reinforcing anticipatory and hurried behavior typical of TABP.
Similar
cognitive behavior
modification techniques have proven on a number of occasions to be
successful in overcoming the hostility component of TABP. For example, Navaco
(1976) illustrated the positive effects of self-instruction coupled with
relaxation training on an assortment of clients diagnosed as exhibiting 'anger
control problems'. Self-instruction involved the methodical and regular practice
of self-statements designed to deal with subjective anger scenarios that the
client originally had difficulties coping with without getting angry. For
example, "...as long as I keep my cool, I am in control of the situation,
…my anger is a signal of what I need to do, …time for problem solving".
Nevertheless,
it would be naive to suppose that any behavior modification would be an easy
accomplishment. Individuals that display TABP will, in most cases, oppose and
withstand considerable efforts at altering their established mode of behavior.
They do not want to have an accident, but at the same time, they do not want to
change their behavior. Indeed, as a
rule, those Type As' that actually acknowledge that their personality is
borderline aberrant will still believe that their traits aid them in coping with
their daily routine. Moreover, competitiveness, pre-occupation with work, and a
sense of urgency, are character traits that are often rewarded in business, and
so are more likely to be regarded as essential and impractical to give up.
For
example, a pilot study, utilizing re-training and expert advice, in Wisconsin
during the late 1960's involving 233 motorists with a history of high accident
risk, found a dramatic decrease of approximately 96% of reported accidents in
the following years (World Road News, 1966a). In addition, courses such as this
could be coupled with continuous longitudinal testing and provisional
entitlement to drive for repeat offenders. Such testing could also give us an
insight into the stability of sensation seeking, and TABP and its sub-components
over long periods.
The
Cross-cultural Perspective: Initially, this study was to be conducted in two
parts. The first part, outlined in this paper, was successfully directed at
motorists within the United Kingdom. Whilst the second part would have explored
whether or not the set of path diagrams gleaned from the UK data needed to be
modified within other European cultures, namely Finland and Italy.
Europe
these days is very much a contentious issue. For example, we have frequent
debate over a single currency, trade, law, and numerous other topics. In this
melee there is little scope for debate over our similarities, i.e. are we
fundamentally different in every day matters such as driving behavior.
A great deal of research has supported the proposition that driver behavior does indeed differ between European states.
For
example, Marsh & Collett (1986) reported a study by Forgas (1986) in which
the author drove a Volkswagen through four European countries sporting an
Australian registration plate. The Author discovered that the French, Spanish
and Italian motorists were quicker to beep their horns at the VW when it failed
to move at a clear junction. In comparison, it was found that the Germans were
the least likely to use their horns. In the study, the Italians were the
quickest to use their horns.
Moreover,
official government statistics (International Road Traffic & Accident
Database (OECD), Issue: May 2000) has shown stark differences in RTA fatalities
and injuries within the European states. For example, In 1998 there were 25
motorcycle related deaths and 232 car related deaths in Finland. In the United
Kingdom, there were 509 motorcycle related deaths and 1789 car related deaths.
However in Italy, there were 1193 motorcycle related deaths and 3522 car related
deaths. It appears, at first glance, the further south one travels in Europe,
the greater the risk of RTA. However, if the statistics are considered per
100,000 population, we see an altogether different picture, i.e. Italy still has
the highest fatality rate with 11.0 killed per 100,000 population. However,
Finland becomes second highest with 7.8 killed per 100,000 population in
comparison with the UK's lowest of 6.0 killed per 100,000 population. On the
other hand, RTA injury accidents per 100,000 populations show the UK as being
the highest at 415 injured per 100,000 populations, followed by Italy and
Finland with 355 and 134 per 100,000 populations respectively. Despite these
statistics, the researchers await data that will indicate reported RTAs were
there has just been damage to vehicle(s) (regardless of fatality or injury).
The
maintenance of fixed individual distance varies greatly in different human
societies. Distances that may be considered as invasions of personal space
depend very much on the individual’s culture and can easily lead to
misunderstandings. In Southern Europe, people interact at close range, e.g.
kissing when greeting and saying goodbye, and frequently touching during
conversation. Indeed, this propensity has been found to extend from social to
business situations (Gesteland, 1996). However, this type of behavior is found
to be very disconcerting in the UK, and contact is usually kept to a minimum,
(Hall, 1966). This propensity may well extend into the driving environment with
increased likelihood of RTAs in Northern European countries through altercations
brought about through ‘tailgating’. However, in Southern European countries,
such as Italy, close driving is seen by many as the norm, and therefore less
likely to elicit hostility between motorists. Nevertheless, this close following
behavior may increase accident risk through reduced stopping distances.
Cross-cultural
research has consistently found a causal link between TABP and RTA risk, e.g.
the differences in the expression of TABP traits between PSV motorists in North
America and India, (Evans, Palsane & Carrere, 1987); and between motorists
in Finland and Australia, (Lajunen et al.,
1998). This is likely to be partly due to cross-cultural differences in
personality. For example, TABP variance between sub-populations has been
reported in some cases to be as high as 55%, (e.g. Cohen, 1974; Howard,
Cunningham & Rechnitzer, 1976). Nevertheless, the majority of the studies
have a history of poor ecological validity, i.e. small sample sizes; lack of
diversity between the occupations and sexes of the participants; and the
possible psychometric variance arising from translating tests, such as
Bortner’s (1966) TABP scale, into other languages, e.g. Magnavita et
al., (1997). Based upon these propositions, it is anticipated that the
research be continued, at a later date, to incorporate the other diverse
European states.
Although to date there is no indication of mediation by TABP, the issue raises some concern when the deficit in reaction time performance of Type A's is considered, (Abrahams & Birren, 1973; Price & Clark, 1978; Glass, 1977). Moreover, as some personality types have been shown to be more likely to attempt more than one task at the same time its prudent to suggest that cellular phone usage while driving may lead to a growth in the establishment of non-response to road-traffic conditions, and therefore a decrement in crucial response time. Still more notably, it has been demonstrated that in car cellular phone use is between two and three times more distracting for road users aged fifty and over compared to younger road users, (McKnight & McKnight, 1997). These results could be more consequential if applied to TABP individuals of this age group.
The AA has long advised motorists not to drive for more than eight hours in a day, and to take a break of at least 20 minutes’ duration every three hours. Older motorists were advised to only drive for two hours between breaks. The AA Defensive Driving checklist, issued to all AA members, advises them to take breaks every two hours. However, this advice does not tackle the specific problem of the business motorist. The AA recommends eight hours driving a day is the maximum that can safely be undertaken, but this does not take into account time spent working. In the interest of road safety, the AA has called on all employers to urge their employees to take regular breaks. Furthermore, the AA have argued that fleet managers should be able to detect those employees, who have to travel long distances, that are prone to fatigue.
In
conclusion, the data suggests that it may be worthwhile for companies and organizations
to screen motorists for excessive vulnerability to the factors that have showed
a likelihood to lead to RTA risk (e.g. over exposure to the road environment,
and excessive sensation seeking behaviors), and to consider taking
countermeasures. Moreover, the distinct age-related involvement patterns confirm
the need to tailor prevention and safety programs to specific age groups.
Finally, subsequent research should be encouraged to investigate personality, behavior, and cognition within road users with a view to adding to the knowledge that has already been acquired.
And
please forgive the 'injection of humor here and there.