MSR
Ride Statistics Interpreted
In the March Magazine I printed the
accident statistics for 2009 and 2010 which showed there had been a spate of
accidents including four on one ride. But what does that really mean? Is that any better or worse than other
years? Is there a trend? And if there is, then what? Further investigation was
required. The fundamental question we
are trying to answer is, “How many thousand kilometres between crashes?” Which can be further broken down into, “How many kilometres between
crashes versus crashes with injuries?” The MSR Ride Statistics spreadsheet
is the product of that investigation.
How
did I do it?
Having always had a great sense of
history, both being part of it, and not wanting to lose what has gone before, I
have been collecting stats continuously from my first ride - October 1982, 33 bikes. As the years have passed I have become a bit
more sophisticated, the statistics eventually forming the basis of the Club
Participant of the Year, a more scientific approach to the previous Club Person
of the Year which was susceptible to a popularity vote. Another
conversation. This discussion centres on the Club accident statistics.
The Club Participant of the Year provides the raw data of who went on
what ride and how long the ride was, all contained in an Excel Spreadsheet. See
the latest 2009-2010 3rd Third elsewhere. I also capture the
forecast temperature; what I will do with it I don’t know.
On the Itinerary Page of the Club web site we used to capture the
incidents, everything from running over dogs to being carted off to hospital.
That information forms the basis of the Club Captain’s Report printed in each
magazine. Removed from the public facing Itinerary Page, this information is
now captured in the Members area for 2010 onwards in the Incident Logs.
The third source of information is
my hard copy Orange Book in which I
write down all the attendees at Club functions whether it be a ride, Social Sip, birthday, or General Meeting.
And it is useful to capture everything else that could slip my memory like
money transactions.
Throw in a surprisingly vivid memory (and photos, Julie notes) of incidents, most of which I attended, and I
now have five sources of raw data to compile fairly accurate Incident Logs.
Clearly, the crash and injury severity data is a subset of the total incidents
data.
The
Maths
I have used data for the last five
and a half years which is probably long enough to capture a trend, so back to
2005. I have arbitrarily used the calendar year rather than the Club Year (July
1 to June 30). It was easier.
The bottom left of the MSR Ride Statistics spreadsheet tabulates the
raw kilometres the Club travels each month – the sum of the distance between
the start of the ride and the end of the ride. This is the official Club ride
length but for most people add another 80-100 km to reach the start point and
get home again from the finish point. Think Berwick or Whittlesea start and
Longwarry North finish. Incidents that
happen to or from a Club ride are not considered to be part of the Club Ride
and are not captured.
The top left of the spreadsheet takes the raw kilometres and multiplies
them by the number of people on each ride, summing per month, then per year. We
need to know how many people kilometres the Club travels each year. This also
picks up pillion riders who are just as susceptible to injury in the event of a
crash. Now the first corruption of the raw data begins.
The calculation assumes all people
complete the full length of the ride. They don’t. This is not so critical on Sunday rides, but
is more problematic on long weekend rides like the Melbourne Cup weekend, Tasmanian
trips and the Xmas Camp. For the
Melbourne Cup weekends, I have excluded non-riding partners from the
calculations. For Tasmania, I have estimated the average number of kilometres,
say for 2009, at 2500 km per rider despite people like Cliff and Ben doing
4,000km, as others did much less. That
was over 9 days. But in 2007 we were only there 7 days ... At the Christmas Camp, say 2010, there were
39 people, but only 22 bikes. I used 22 bikes x 1,000km. Best guess. Unless I
capture exactly how many kilometres people do on these events, the data won’t
be that accurate. Nevertheless, I have been consistent over the years making an
educated guess and if we are only looking for trends, then that is good enough. Another option is to exclude the inaccurate
data associated with weekends away, but that’s where quite a few big crashes
occur!
The middle right data on the spreadsheet is concerned with the number
of crashes per year, and the severity of injury, using a scale of 1 to 4 where
1 is no injury to the rider – they walk away, through to 4 – death. Luckily
there has only been one fatality in the five and a half year period.
Analysis
of the Data
Now that the data is captured we
can look for interesting “facts” and trends. For the past five and half year
period I can state:
The club averaged 29,143 km a year if you sum up the kilometres per ride. The range was fairly
tight – between 29,840 and 31,011, excluding 2006 at 24,555 which was a
particularly wet year with many rides abandoned. It looks like 2010 may be down
as well though the back end of the year is normally heavily weighted with
Melbourne Cup and Christmas, so maybe not.
The Club (people
x km) averages 324,241 people km per
year, but in a fairly wide range, from as low as 238K in 2006 (wet) to 411K
in 2009. The trend is definitely up, the long
term drought providing brilliant riding weather from 2007 onwards. Given we do
roughly the same number of raw kilometres a year, yet the Club kilometres are
going up steeply, this can only mean that the number of riders per ride is
going up. This is obliquely confirmed with the gradual increase in membership
over the period.
Now we get to the pointy end. We
average 14.3 crashes per year. 2010
is already up to 11, well ahead of the curve. Dividing the number of kilometres
per year by the number of crashes will tell us how many kilometres between
crashes. On average, 20,756 km. Not good. If we only
include crashes where people are injured or worse, then the figure improves dramatically
to 111,563 km between injuries. This
is the bottom line, the answer. It is pretty much the same every year – 100,000
km between injuries, except for 2008 where, despite 13 crashes, no-one was seriously
hurt. So 2008 boosts the average bringing it up to 111,563 km. And yes, 2010,
at 40,953 km between injuries, is 70,000 km down on the average. Not flash. But
it does appear to be an aberration.
Lies,
Dam Lies, and Statistics
Statistics are open to
interpretation. Paul Southwell has already noted that based on 137,000 km
between injury crashes, the Club owes him at least 500,000 km of injury free
riding!
What
now?
Thirty-four of the 86 crashes
involved riders either on their first, second or third ride, or who have been
riding with the Club for less than three months. This is a significant problem.
Forty percent of our crashes involve
new riders, but they only make up probably less than 10% of our riders. A
strategy needs to be put in place to minimise this risk. One option is to send
new riders home after the first leg of each of the first three (?) rides. We are obligated to do something as part of
our Risk Management Strategy, part of our Risk Management Policy. Ideas very welcome.
Conversely, 60% of our crashes
involve members – about 8.6 per year on average. How does this compare to the
state average? Is it acceptable? What can we do to minimise the risk, without
removing the fun aspect of riding? Thoughts?
As an aside, the 2009 Incident Log
shows 12 extra-curricular crashes (including track days, private rides, etc) as
distinct from “only” 16 crashes on regular Club rides. Nine of the twelve non-
Club ride crashes were members. Similarly, of the 16 crashes on Club rides, 9
involved members. So there are as many members crashing outside of the Club as
there are on Club rides. Of course non-Club activity crash data is almost
impossible to track, and hence not tabulated for the other years. But it does
raise another series of questions along the lines of: Are the same people
crashing inside and outside of the Club? Is this a fair question, given that
they may just be the most active motorcyclists – do the most active
motorcyclists crash the most? Or are certain individuals over represented in
the crash data? Why? Too
hard to answer without a lot more data. But worth
pondering.
I’ll keep this database up to date
and place in the Committee Only section. I am happy to discuss conclusions,
assumptions, and data with anyone.
Hot
Spot Crash sites
Where |
2010 |
2009 |
2008 |
2007 |
2006 |
2005 |
Total |
Tasmania |
|
4 |
|
1 |
|
2 |
7 |
Noojee-Icy
Creek-Hill End Road |
1 |
|
3 |
2 |
|
1 |
7 |
Thomson Dam,
Walhalla area |
1 |
1 |
1 |
1 |
1 |
|
5 |
Jamieson/Torbreck
River Road |
|
|
1 |
|
1 |
3 |
5 |
Korumburra
Warragul Road |
|
3 |
1 |
1 |
|
|
5 |
Xmas Camp and
surrounds |
|
|
1 |
|
|
3 |
4 |
Miscellaneous
Incidents
What |
2010 |
2009 |
2008 |
2007 |
2006 |
2005 |
Total |
Puncture |
2 |
9 |
6 |
8 |
|
4 |
29 |
Ran out of
fuel |
2 |
4 |
4 |
1 |
2 |
1 |
14 |
Holed radiator |
|
2 |
4 |
1 |
|
1 |
8 |
Police
(speeding and fine) |
|
1 |
6 |
|
|
1 |
8 |
Mechanical
(clutch, engine, pads) |
|
4 |
3 |
1 |
|
|
8 |
Animal
(kangaroo, dog, snake, bird) |
|
2 |
|
3 |
|
|
5 |
Ben
Warden