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OMITTED EFFECTS
In their analysis the authors deliberately omitted certain effects because
they were considered to be statistically insignificant or irrelevant to the
final result. heterogeneity of cyclists risk
These effects include, for example, the , the
that some cyclists compensate for the safety gain by riding faster and the
helmets are inefficient at certain speeds or when worn
fact that
incorrectly . 13
OMITTED EFFECTS – Literature review
Lei Kang, Akshay Vij, Alan Hubbard, David Shaw, «The unintended
, 2021,
impact of helmet use on bicyclists’ risk-taking behaviors »
Available online at: https://www.sciencedirect.com/science/article/abs/pii/S0022437521001122?via%3Dihub
Findings suggest, on average, that individuals which are more likely
to wear a helmet are 15.6% more likely to undertake a risky
overtaking maneuver.
In the light of the authors' findings, it seems necessary to update the
to take account of this side effect, which had
cost benefit analysis
not been considered. 14
CONCLUSIONS OF THE AUTHORS
The authors therefore conclude that, as far as the helmet law is
concerned, the benefits do not outweigh the costs.
Therefore, from a collective point of view, the law would be a waste of
resources. 15
WAHT WE DID
An to latest year before the pandemic (2019)
1. update of the data
A in order to compute the Benefit Cost Ratio
2. MATLAB model
A on MATLAB in order to observe the
3. Monte Carlo Simulation
probabilistic distribution of the project’s NPV
A in order to compare the results of this paper
4. literature review
with other similar scientific analysis 16
MATHEMATICAL MODEL: UNCHANGED PARAMETERS 17
MATHEMATICAL MODEL: PARAMETERS ASSOCIATED WITH DATA
FROM 2019 18
UPDATED PARAMETERS UNCHANGED PARAMETERS
- The distance cycled and the - Value of statistical life
number of cyclists - Speed of cycling, walking,
- The risk reduction value of travelling by car/public
helmets transport
- The fraction of injuries - Health gains from
reduced by helmets cycling/walking
- The external cost of
travelling by car
- The average cost of helmes 19
PROTECTION EFFECT
Helmet reduces the severity of injury in the event of an accident. The
benefit derived from the induced helmet use is [ ]
Nf
with
Statistical value for the protection provided by a helmet =
: 4,42 cent
(2,083 cent per km in 2012)
per km
Distance of helmeted cycling induced by the law =
: 29.215 millons km
with
Proportion of cyclists using helmets = 22,8% (13% in 2011)
Reduction of cycling if a helmet law is passed = 0,044 (as in the paper)
Distance cycled in Germany = 39.858 millions km (32.970 millions km in 2008)
20
EXPOSURE EFFECT
Some cyclists opt for walking or another mode of transport (bus or car) rather than
wearing and/or buying a helmet. These cyclists increase their safety by changing the
nature of exposure to risk related to the traffic mode used [ ]
Nn
with
distance of cycling substituted by walking, car and public transport = 1.344.600.000
km
distance walked instead of cycled = 254.460.000 km
distance travelled by car instead of cycled = 497.360.000 km
distance travelled by public transport instead of cycled = 115.670.000 km
using transport mode i (where i=bicycle, car, public transport, walk) induces costs
related to the number of accidents with fatalities ( we assume the costs are equal
)
to those in the paper 21
PURCHASE EFFECT
Cyclists who do not have a helmet have to buy one. Cost of helmets [ ]
Km
with
Opportunity costs of a helmet = (Ch_best+Ch_cheap/2)*(1-Sale_taxes) =
= (27.62 € in 2013)
20,90 €
Time to replacement of a helmet = (as in the paper)
5 years
Number of cyclists = (73,000,000 in 2013)
63.232.000
Proportion of cyclists using helmets = (13% in 2011)
22,8% 22
ENVIRONMENTAL EFFECT
From an environmental point of view, the substitution of cycling with motorized
Costs related to motorized transport (noise, pollution
transport is undesirable.
and global warming) [ ]
Ke with
Traveling by car induces external costs (Climate change, air pollution,
soil sealing and noise) = (0.0314 €/km in 2007)
0,15 €/km
distance travelled by car instead of cycling = 497.360.000 km 23
COMFORT EFFECT
Helmet may reduce the pleasure of cycling. Additional costs arise through the utility
losses caused by helmet wear (they are regarded as ‘‘uncool’’, they are also
incompatible with ‘‘big hair’’ , and they generally reduce air circulation) [ ]
Kg
with
Average utility losses due to helmet wear = (0,00625 €/km in 2012 )
0,0133 €/km
= 0,5 *
where Fraction of the benefits internalized (because social insurance covers
0,6
hospital costs) =
Statistical value for the protection provided by a helmet = 4,42 cent
(2,083 cent per km in 2012)
per km
Distance of helmeted cycling induced by the law = 29.215 millions km 24
HEALTH EFFECT
Cyclists that opt for another mode of transport will sacrifice the positive impact
of cycling on health. The monetary losses due to deteriorating health are [ ]
Kh
with
Statistical value of the health gains = (as in
1,05 € per additional km cycled
the paper)
Statistical value of the health gains = (as
2,50 € per additional km walked
in the paper)
The distance of cycling that is substituted induces monetary costs of
and only the distance that is walked improves health by 25
BENEFIT COST RATIO
BCR (2019) = 0,9894
BCR (2013) = 0,720
Since the BCR is still
less than 1, the results
of the paper are
confirmed even using
more recent data (even
though there is a
significant increase in
BCR).
Helmet law in Germany
is (still) a waste of
resources. 26
MONTE CARLO SIMULATION (Probabilistic sensitivity analysis)
1. We assumed we have uncertainty on these parameters: rr, q_head, VSL, Ch, r, ul
2. We defined the probability distributions:
for
Normal distribution rr, q_head, r, ul
→ in a interval for
Uniform distribution [a,b] VSL, Ch
→
3. We generated for each uncertain variable
N= 1000 realizations
4. We have than obtained a for the relevant
probability distribution performance
indicator (NPV)
We chose to observe the probabilistic distribution of the NPV instead of the BCR due to
the fact that the is a and therefore is sometime
BCR ratio misleading in this specific
analysis.
Indeed, the combination a very small number in the denominator with a big number in
the numerator (or viceversa) generates values that are exponentially high (or low). 27
MONTE CARLO SIMULATION - MATLAB Code 28
MATLAB SIMULATION - Histogram
Frequency distribution of NPV With a pretty the
large probability NPV
will be positive.
By introducing a range in which the
parameters can change, the result of the
as
paper is reversed, benefits appear to
be greater than costs in most cases.
Anyway, we have introduced variability for
only some of the parameters, so this is a
partial analysis. 29
LITERATURE REVIEW/1
Igor Radun, Jake Olivier, « Bicycle helmet law does not deter cyclists in
, 2018, Available online at:
Finland » https://www.sciencedirect.com/science/article/pii/S1369847818300810?via%3Dihub
- Data across three surveys suggest cycling has declined from before to after
Bike Helmet Law.
- In a 2004/2005 survey, however, only 0.063% (95% CI: 0.02–0.10%) of
responders identified helmet use as their most important obstacle to cycling.
It is therefore unlikely Bike Helmet Law is a causal factor in the downward
- trend in Finnish cycling. and
Lack of cycling infrastructure concerns for
(not strictly connected with the helmet use) are much more common
safety
reasons given. 30
LITERATURE REVIEW/2
Gary M. Ginsberg, Don S.Silverberg, « A Cost-Benefit Analysis of Legislation
, 1994, Available online at:
for Bicycle Safety Helmets in Israel » https://pubmed.ncbi.nlm.nih.gov/8154573/
- The cost of crash helmets (current retail price: $23.40) for Israel’s 833000 cyclists
would be $19.5 million. An additional $607000 would be required over 5 years for
health education purposes.
- Legislation for bicycle helmet use in Israel would, over a helmet's 5-year duration,
avoid approximately 57 deaths, 2544 fewer hospitalizations, 13355 emergency room
visits, 26634 ambulatory visits, and 832 and 115 fewer short-and long-term
rehabilitation cases (including children needing special education), respectively.
- The ($44.20 million) ($20.14 million) When
direct benefit to cost ratio is 2.19:1.
benefits from reductions in work absences are included
($7.55 million) , the benefit-
adding benefits from reductions in mortality
. After
cost ratio rises to 2.57:1
($8.94million), the total benefit-cost ratio to society rises to 3.01:1. 31
CONCLUSIONS AND FURTHER ANALYSIS/1
◦ In the paper we analyzed the authours cocluded that the Helmet
would be a (since the
Law in Germany waste of resources
is equal to )
BCR_2013 0,720
◦ On the other hand, , the
by updating the data to the 2019 BCR
and it almost reached the breakeven point
has increased
( )
BCR_2019 = 0,9894
◦ In addition, the value of the is to the initial
BCR very sensible
For example, Gary M. Ginsberg, Don S.Silverbergin
assumptions.
their paper, by making different assumptions, concluded that the
BCR in Israel was between 2.19 and 3.01. 32
CONCLUSIONS AND FURTHER ANALYSIS/2
◦ Furthermore, the literature in this field is making important
progress and is starting to evaluate in a different way some of
by the authors in the paper
the effects which have been omitted
we analyzed (i.e. The impact of helmet use on bicyclists’ risk-
taking behaviors)
◦ We can conclude that no universal and definitive answer can be
, but in the future it will be useful to repeat the cost benefit
given
analysis, taking into account the various differences between
countries in terms of infrastructure, citizens' habits, etc. 33
BIBLIOGRAPHY
◦ « Bicycle helmet law does not deter cyclists in Finland »
Igor Radun, Jake Olivier, ,
2018, Available online at:
https://www.sciencedirect.com/science/article/pii/S1369847818300810?via%3Dih
ub
◦ « A Cost-Benefit Analysis of Legislation for
Gary M. Ginsberg, Don S.Silverberg,
Bicycle Safety Helmets in Israel »
, 1994, Available Online at:
https://pubmed.ncbi.nlm.nih.gov/8154573/
◦ «The unintended impact of
Lei Kang, Akshay Vij, Alan Hubbard, David Shaw,
helmet use on bicyclists’ risk-taking behaviors »
, 2021, Available online at:
htt