|
|
To measure success of a
complex concept can be as
complicated as compiling
the variety of the individual
elements that underpin the
model.
We can certainly prove that
Speedwatch is a successful
scheme when conducted
under optimal conditions.
However, to best describe
this success can be more
difficult than explaining the
fundamental premise of
the scheme. For example, how do we measure the successful involvement of communities vs. evaluating the impact on lowering average speed
in what we consider a well-organised area compared to a less so? How do we define the quality of what constitutes achievements under
these different circumstances?
With the extensive datasets collated over five years available to us, we discovered and defined specific benchmarks of success.
We believe these are strong indicators of achievements, trends, and clear-cut results. However, to others the numbers could be
interpreted differently dependent on the individual viewpoint taken in the debate about where responsibility for road safety lies,
and what the common main objective is - if there is one. Some people might think that the lowering of the number of killed and seriously
injured supersedes that of the lowering of average speed achieved by other means or only in specific areas. Some would disagree whereas
we would suggest there is causation or correlation.
Because speeding is such a difficult issue to address uniformly (people speed for different reasons, at different levels, and at
different times, and places), we might be able to demonstrate a significant reduction of repeat offence observations over time,
but is this a genuine expression of behavioural change, or is it just indicating an awareness of the potential consequences of
being caught by local groups in a certain area? Our stats cannot give a definitive answer to all of these speculations, only
indicate trends. However, some of the trends demonstrated in our findings are very persuasive.
You can download our report available from the side-menu on the left.
|
|
