how accurately does the public perceive differences in transport risks? trb-paper 06-0148 rune elvik...
TRANSCRIPT
How accurately does the public perceive differences in
transport risks?
TRB-paper 06-0148Rune Elvik and Torkel Bjørnskau
Published in Accident Analysis and Prevention 2005, 1005-1011
2
Survey of perceived risk of travel in Norway
• First made in 2000• Repeated in 2003• Sample size was 1,000• Basic question:
– How safe do you think it is to travel by (car, bus, plane…)?
– Very safe, safe, a little unsafe, very unsafe
3
Transport modes covered
• Car (role not specified)• Car driver• Motorcycle• Bus• Walking• Cycling• Commercial aviation• Commercial ship (not recreational boats)
4
What do we know?
• Risk perception in the small and in the large
• The small is about specific hazards encountered when, e.g., driving
• The large is about societal risks, faced by everybody (not personal risks)
• Knowledge regarding relative risks is fairly accurate (modes are ranked correctly)
5
What do we know, continued
• The absolute number of accident victims is less accurately known
• Risks stated as fatality rates (5 x 10-5) are poorly understood
• Differences in risks tend to be underestimated
6
An initial observation
• The distribution of answers between the categories (very safe, safe, a little unsafe, very unsafe) seemed to agree pretty well with actual differences in risk
• Actual differences = differences between modes in terms of fatality rate per billion kilometres of travel
7
Conversion of answers to scales representing
perceived risk• Can be done in many ways• Four scales were developed:
– A 100 (very unsafe) to 1 (very safe) scale– A 4 (very unsafe) to 1 (very safe) scale– A 10 (very unsafe) to 0.01 (very safe) scale– Odds of answering unsafe/safe
• The relationship between the mean values of these scales and fatality rate or injury rate was studied
8
Comparison of the range of scales
0.001
0.01
0.1
1
10
100
1000
Actual risk100 to 1
scale 4 to 1 scale 10 to 0.01 scale
Odds scale
9
Comparison of actual and perceived risk
0
20
40
60
80
100
120
Aviation Railway Ship Bus Car Motorcycle Cycle Walking
Re
lati
ve
fa
tali
ty r
ate
(s
afe
st m
od
e =
1)
0
5
10
15
20
25
30
Rel
ativ
e p
erc
eive
d f
ata
lity
ra
te a
cc
ord
ing
to
0.0
1 to
10
sc
ale
(s
afe
st m
od
e =
1)
Actual risk
Perceived risk
10
Actual and perceived car occupant injury rates
0
1
2
3
4
5
6
7
8
18-24 25-34 35-44 45-54 55-64 65-74 75 +
Rel
ativ
e in
jury
ra
te (
sa
fes
t =
1)
0
1
2
3
4
5
6
7
8
Rel
ativ
e p
erc
eive
d i
nju
ry r
ate
ac
co
rdin
g t
o 0
.01
to
10
sca
le (
safe
st =
1)
Actual - men
Actual - women
Perceived - men
Perceived - women
11
Correlations between actual and perceived risk
Correlations between statistical risk and perceived risk
Way of representing answers to questions about perceived risk
Comparison with respect to
Scale, range 1 to 100
Scale, range 1 to 4
Scale, range 0.01 to 10
Odds for unsafe to safe
Mode of transport .858 .887 .817 .749
Car occupants, men .450 .068 .771 .096
Car occupants, women -.453 -.422 .776 -.739
Car driver, men .426 -.034 .694 .160
Car driver, women -.666 -.535 .361 -.724
Cycling, men .474 .289 .370 .622
Cycling, women -.396 -.435 -.135 -.202
Walking, men .382 -.160 .518 .424
Walking, women .924 .494 .492 .981
Mean correlation .222 .016 .518 .151
12
Main conclusions
• The Norwegian public has an accurate perception of differences in risk between transport modes
• The range of values on scales developed to represent perceived numerically tends to be narrower than the range of actual differences in risk
13
Conclusions, continued
• The 10 to 0.01 scale correlates best with differences in statistically estimated risk
• Optimism bias is found: motorcycle riders think motorcycling is safer than the general public
• Recent major accidents appear to influence risk perception