Total number of
accident and casualties, especially killed and serious injury show how severe safety
problems in our road. Nearly 3000 people still die on the UK road every year
(DfT, 2009). More than 34.000 people are killed across the European Countries and
almost 40.000 in the US while India become the highest number of road accidents
in the world with over 105.000 deaths annually. UN WHO recent released shows
1.2 million death, 50 million injury or disabled and US$ 518 billion every year
across the globe because of traffic accident. It means almost 3.300 people lost
their live every day. Road accident is second most common cause of death for
children and young adults (WHO, 2010).
However these figures only explain
the frequency of accident and death. It is important to understand the factors
behind these figures and find the pattern and the trend. To analyze this, an
exposure will be needed. Comparing the frequency to the exposures will offer
the possibility to calculate the risk and future projection. For example, UK accident
fatality rate is about 5.00 per 100.000 populations in 2007 which mean only
five people are died on the road accident from 100.000 populations. This rate
was one among the best in European countries. Another example is comparison of
vehicle involvement in accident, which shows Heavy Goods Vehicle (HGV) has 1.6
and Car, has 0.8 rates per 100 million vehicle kilometres traveled. It means
HGV would have killed people twice in 100.000 kilometres traveled by these
vehicles.
There has been a long argument
to both approaches, Number versus Rates. Number is considered to give very
detail examination of each accident and the frequency of it on the sites, while
Rates provide a better accident related risk assessment. Rates bring in a
notion of risk, the risk of something going wrong against the units of
exposures.
Figure
1: Use of Data for Road Safety Improvement (UN WHO)
General Practice of using Number
of Accident and Casualties
Since 1998, EU Commission on
Road Safety has tried to provide the Road Safety trend by using ‘quick
indicator’ which consist of three main categories: number of accident resulting
in injury, number of persons killed and number of person injured. Data is provided
in country-to-country basis which classified in age, gender, month and year,
mode of transport and road users. The main idea of this database is the
collection of each single accident and it’s detailed as reported from country
member (CARE, 2010). This
database has become a powerful tool of analysis by quantifying road accident
throughout the European road. Graph below shows the road accident fatalities
trends of EU countries over 20 years:
Furthermore,
many local authorities in UK have used accident number and casualties in their
accident assessment. Leicestershire County Council, for example, counts the
number and the severity of accidents from 2001
to 2006 in selected junctions. Accident that has been
taken place in the proximity of assessed scene have been identified and highlighted
as a black spot. It has been figured out in the assessment that M1 Junction 21 has the
highest number of accidents with annual average of 27 accidents while the
average all studied scenes is 24 accidents. Therefore, this junction have been
upgraded and expected to reduce numbers of accidents and KSI casualties.
Accident Risk Assessment by Accident, Fatalities
and Injury Rates
Rates
are comparison of accident frequency against chosen exposures. There are many
choice of measures have been used for different objectives by different groups.
Health sector, for example, mostly apply fatalities per
100.000 populations, while transport sector use fatalities per distance traveled
or fatalities per million vehicle‐kilometers as a major measure. Rumar (1999)
suggest several indicators to be operated as exposures, such as: number of
persons or vehicles, time in the activity, distance traveled with that
transport mode etc is some of the more frequently used measures.
Mode
|
Per 100 million person kilometers
|
Per 100 million person hours
|
|
|
Road
|
Total
|
1.1
|
33
|
|
Bus
|
0.08
|
2
|
|
Car
|
0.8
|
30
|
|
Foot
|
7.5
|
30
|
|
Cycle
|
6.3
|
90
|
|
Motorcycle/moped
|
16
|
500
|
|
Train
|
0.04
|
2
|
|
Ferry
|
0.33
|
10.5
|
|
Air
|
0.08
|
36.5
|
|
Table
1: Estimates of fatality risks per person kilometers and hours for each
transport mode in the EU
Target is easier to monitor
against rates and relatively straightforward in comparison, as presented in
table 1 where we could instantly figure out that motorcycle is the highest risk
of transport mode.
UK Practice of assessing Accident and targeting
accident Measures
Department for Transport in
2009, released a document called “Safer Way” which comprehensively explain four
main categories of safety improvement across UK Road, they are:
1. Details overview of safety problems and evidence
2. The Importance of comparison and benchmarking
3. Future Projection and setting up the target
4. The Strategy to improve the safety
This document uses both
measures, for example, in the evidence and problem acknowledgement, it is
stated that 3000 people were killed in UK road in 2007 and about 20% of these casualties
are motorcyclist. However, if it is compared 1994 – 1998 data, total fatal
casualty has reduced by 36% and possibly to achieve 40% of reduction by 2010.
Based on this evidence, UK DfT
has proposed the new target on measuring and ensuring the development of safety
across the country, that are by 2020, total number of road death and total
annual serious injury should be reduced by 33% compared to 2004-2008 baseline.
Although UK is one among the
best on Road Safety, some countries have better safety performance by
comparison of fatality rate per 100.000 populations. These countries, such as
Nederland and Norway, have achieved rates of improvement better than UK
Figure 3: International
Comparison of Fatality Rate per 100.000 Populations
Conclusion
A lot of groups are involved
in accident data collection, analysis and setting up targets for better road
safety development. Different needs and objectives have lead to various
approach of road crash data. Safety improvement might be derived from accident
database analysis and careful assessment of accident site followed by
appropriate accident remedial measures (ADB, 2005). Comparison and benchmarking
are important to have a better understanding on safety strategy and
improvement. There is no international standard on assessing road safety
performance and setting up the target yet, as UK exercised of mix matrices
might provide more comprehensive approach. Then, a better use of data could
lead to ambitious but achievable target.
Global Health Observatory (GHO),
available at http://www.who.int/violence_injury_prevention/road_safety_status/country_profiles/
accessed 12 May 2011
Rumar, Kare
(1999) Transport Safety Visions, Targets And Strategies: Beyond 2000, Swedish
Road and Transport Research Institute
World Health
Organization (2010) Data systems: A road safety manual for decision-makers and
practitioners, WHO Press, Switzerland