Proactive Partnership Strategy - Global Road Safety Partnership

2.6 Data Analysis
With regard to quality of life issues in general and human life in particular, fatal
and serious crashes are the most damaging in a community. They absorb an
inordinate amount of community resources – human and financial.
Activity
Suggest any additional ways that
data can be analyzed. Provide a
rationale for any suggestion.
The Data Analysis Team interrogates the data (Fatal and Serious Crashes
plus other linked data) to primarily identify which are the local major risk
factors (speed, alcohol, helmet use, restraint wearing, infrastructure, vehicle
safety, trauma management). and then secondarily, all local main / relevant
risk factors, that on an overall basis have led locally to fatalities or serious
injuries, on a 30 days basis. Examples of all main / relevant risk factors are
inadequate visibility, drug impaired driving, mobile phones, hazards from
roadside objects.
It is important not to analyze just the Police records, but also other linked
data related to, for example, emergency services, and hospital data. All the
captured data will then include items such as who is involved in each Fatal and
Serious Crash (For example, pedestrians, drivers, motorcyclists, passengers,
males, females, age group, driving experience). The Data Analysis Team then
generates reports, including Risk Factor Tables, Graphs, FSC Maps and other
information for the PPS Team.
The analysis using “what happened, why, when, where and who” is necessary
for the overall analysis / report.
Once the data reports are shared and understood then programmes
(directly linked to local key risk factors), projects and systems can be
designed, developed and implemented to effectively target the local key risk
factors, other local relevant / main risk factors, geographical locations and
community groups.
37 Proactive Partnership Strategy