Is cycling under-performing?
Professor Chris Rissell wrote an article for The Conversation this week with the self-explanatory title, Australian cycling boom? – Nope, it’s a myth.
This is a distinctly more moderate claim than the 38% fall in per capita cycling over 1986-2011 that he and his co-author, Chris Gillham, claimed a few weeks ago. But as I’ll show below, they’ve still got it very wrong.
Their claims are based on this article they wrote for the May issue of the on-line journal, World Transport Policy and Practice. I discussed it recently, noting it had a number of shortcomings.
These include errors of logic, reliance on problematic data and selective use of dates. I also noted the authors chose to compare the level of cycling against population rather than the more obvious and customary level of travel.
These shortcomings don’t demonstrate conclusively that the authors got it wrong, but they do suggest their conclusions should be interpreted with considerable caution.
However since writing that critique, I’ve subsequently gotten access to both the surveys they relied on: Day to Day travel in Australia 1985-86 and the 2011 National Cycling Participation Survey.
CORRECTION 8.30am 13/7/2012: I have to acknowledge I got the specific technical “flaw” I discuss below wrong. It isn’t a flaw. I’ve left the text under the fold for the record and apologise to the authors and readers. However I don’t resile from my other criticisms of the article.
These reveal there’s a more fundamental flaw in their analysis. The problem arises because the two surveys count cycling in different ways. The 1986 survey asked how many times respondents had cycled that day, whereas the 2011 survey asked how many times they’d cycled in the last week (and also in the last month and in the last year).
The authors therefore had to convert the 2011 weekly cycling rate to a daily figure so they could compare the two surveys. In their own words, they multiplied:
the estimated number of people in each state who had cycled in the past week by the averaged weekly number of bicycle trips for that state/territory, and then divided this number by seven to get the average daily number of bicycle trips.
Plenty of noise is introduced by these sorts of interpolating manoeuvres, but that’s not the key problem. Where they’ve gone wrong is in assuming the proportion of residents who cycle in a day is one seventh of the proportion who cycle in a week.
In the 2011 survey, 18% of respondents said they had cycled at least once in the past week (and 26% in the last month and 40% in the last year). So Gillham and Rissell divide the weekly level by 7 and in effect conclude only 2.6% cycle at least once per day.*
Of course that’s not right. Cycling levels aren’t distributed evenly by time period across the calendar. That’s obvious, just compare the annual and monthly numbers. Many cyclists venture out much more frequently than weekly. Some cycle on multiple days per week to get to school or work, or for exercise or training.
The error of logic is easily seen: If the monthly figure (say) is divided by 4 to arrive at a weekly estimate, it gives a figure of just 6.5%, considerably less than the actual figure of 18% reported by respondents. Or if the annual figure (say) is divided by 12 to obtain a monthly estimate, it yields a mere 3.3%. Again, that’s just a fraction of the 26% actually reported by respondents.
This is not a minor error. It means Gillham and Rissell very seriously underestimate the level of cycling in 2011. I don’t know what the daily figure is that they should’ve used, but I’d expect it would probably be around 10%, perhaps higher. Certainly it would be much more than the 2.6% they’ve effectively assumed.
I’ve attempted to replicate their method using their numbers for the ACT. They say the population of the Territory aged over nine years increased 72% over 1986-2011 while daily cycling by this group increased by only 47%.
Even if I make the extremely conservative assumption that just 3% of ACT residents aged over 9 years ride per day, the increase in the level of cycling over 1985-2011 matches the increase in the comparable population. If I assume 10% cycle per day – which seems plausible to me – then cycling grew more than five times faster in the ACT than population.
If I’m right, the Gillham and Rissell article is way off the mark and gives a very misleading impression of how cycling is faring in Australia. Indeed, it gives the completely wrong impression.
Anyone can make inadvertent errors. Once identified though, they should be corrected immediately simply because they’re wrong. In this case there’s the added concern that governments who’re already turning their back on cycling could use this sort of negative information to support their stance.
This issue should be cleared up. Unless the authors show I’ve misunderstood them, the article should be amended or buried as soon as possible.
________________________________
*Gillham and Rissell only looked at cyclists aged nine years and over so their actual numbers will be different, but the logic is the same.










Please login below to comment, OR simply register here :
Thank you for registering, we have just sent you a confirmation email, which includes your new password to be entered below.
Cycling also varies depending on factors like the day of week and the weather expected for that day.
Plenty of people cycle on good days and drive or take public transport when the weather might be bad.
I remember filling out a survey years ago saying that I had driven to work on the day the survey questioned me about (because of very bad weather) even though I normally cycled.
“So Gillham and Rissell divide the weekly rate by 7 and in effect conclude only 2.6% cycle in a day.”
As you state above, they multiplied the number of people who cycled per week by the average number of trips per week (5.3), then divided by 7 to get the average number of trips per day.
My understanding is that their comparisons are based on the number of trips per capita, not the number of people who cycled per day. Are you suggesting otherwise?
Rides To Work: That’s just my shorthand. It is trips per capita. My issue isn’t with how they handled trip rates but how they handled the % of population that cycled. AD
It does make sense that we are riding less. As a nation we are getting both older and more unfit, not be mention more geographically distributed, not exactly great conditions for increased cycling.
I’d be pretty surprised if they didn’t incorporate other statistical techniques or fudge factors to make the analysis more consistent and credible.
If, in fact, they’ve done as you’re suggesting and nothing more, it’s truly woeful methodology.
Rohan: You can see for yourself how they went about it in their article. There are all sorts of necessary compromises when comparing dissimilar data sets like this, which is one of the reasons why I said last time that great care should be taken in attributing significance to the results. I think the authors over-reached on that score. The specific problem I’ve picked up in today’s post, though, I see as more of an inadvertant error of logic. AD
To discuss the topic of cycling activity trends more meaningfully, the science (if not the art) of small area space-time geography needs to be applied.
Surely the authors are not suggesting or implying that cycling activity for commuting and generally getting about has not increased in the inner north of Melbourne over the last twenty years?
To aggregate and swamp inner Melbourne transport pattern trends with the remainder of Australia beggars belief! Hardly scientific…
AD. Fair critique.
It reaffirms what I have criticized a certain kind of epidemiologist for in previous posts. A certain kind of laziness in data gathering. In fact, a complete unwillingness to contemplate generating data, as opposed trying to do “clever” things with existing data no matter how incomplete or subject to ascertainment bias. And a corollary: as soon as they start delving into fiendishly complex statistical methods it is a red flag to something fundamentally dodgy about the underlying data (or lack of it).
Many, if not most, of such analyses of little-understood or poorly documented issues fall into this category–of course, by definition. Instead of over-analysis, it screams for a proper data gathering exercise, but that is something many epidemiologists react against since it takes a lot of time and effort, and cannot simply be excecuted on the page (or computer program).
In any case, this particular issue is also a distraction. Does anyone, even the road lobby, deny that there would be much more cycle use if the infrastructure were there to support it safely? No, of course not. If any particular lobby attempted to use such dodgy analyses, for example to suggest that “there is no public call” for better cycle infrastructure, therefore there is no justification in funding it, we would know they were just being partisan and dishonest (or a commercial consultancy being paid for an “expert” opinion based on pseudo-science).
Alan – Whether write or wrong our personal anecdotal evidence is enough to condem their line of argument. Cycling is as strong as ever, all kids ride to school no one fears the roads in capital cities while they ride with a helmet. What is the problem?
Paul: I didn’t use anecdotes, I identified flaws in their methods. I don’t think using faulty numbers will advance the cause of cycling – in fact just the opposite. AD
Hello everybody
I was intrigued by those stats for yearly, monthly and weekly cycling activity – I wondered whether there might be some statistical method that allowed daily cycling rates to be estimated based on these stats. After poking around a bit, I realised that taking the logarithm of the time period yielded a relation with an excellent degree of fit to the data:
y = 12.8 * log10(x) + 7.2
…where x is the time period in days, and y is the percentage who have cycled within that last time period. If you check against the three data points given, it is a beautiful fit – 365 gives 40.0%, 30.4 (average days per month) gives 26.2%, 7 gives 18.0%. Trying 1 day gives you 7.2% – this indicates that their estimate of 2.6% is out by a factor of almost 3.
Feel free to reuse the equation, with attribution where you deem it appropriate.
Cheers
Andy
andrew1976temp@fastmail.com.au
Mea culpa: I’ve received some well-informed technical advice that what the authors have done to arrive at the daily rate is tortured but valid. The resulting number shouldn’t be treated as precise but the method is basically OK. So my criticism of it is wrong and I withdraw it. I’ll leave the post for the record. I’ve inserted a correction before the offending text starts.
Alan
You identified numerous flaws in the analysis, but didn’t mention the 58% increase in the over 9 year old population between 1986 and 2006. It seemed (way) too high to me, and turned out to be almost double the 32% I calculated using the population counts in http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/3105.0.65.0012008?OpenDocument:
- in 1986, the Australian population was 16,018,350 with 2,387,973 aged 0-9 years
- in 2006, the Australian population was 20,697,880, with 2,650,291 aged 0-9
- this translates into an increase of (18,047,589-13,630,377)/13,630,377=32%
I queried this at http://theconversation.edu.au/australian-cycling-boom-nope-its-a-myth-8020 more than 2 weeks ago and have received no reply, it seems unlikely that the article be amended or buried.
In an earlier Urbanist forum on this topic you said you would like to see some numbers on the trend over the last 10 years, you were correct in expecting it would show a more encourging and optimistic outlook for cycling . . .
Figures in various publications indicate that there has been a considerable increase in cycling participation, not a decrease
- the ABS’ Participation in Sport and Physical Recreation reports (http://www.abs.gov.au/AUSSTATS/abs@.nsf/second+level+view?ReadForm&prodno=4177.0&viewtitle=Participation%20in%20Sport%20and%20Physical%20Recreation,%20Australia~2009-10~Latest~21/12/2010&&tabname=Past%20Future%20Issues&prodno=4177.0&issue=2009-10&num=&view=&
- the Australian Sport and Recreation Commission’s Exercise, Recreation and Sport surveys (http://www.ausport.gov.au/information/casro/ERASS)
- Cycling Promotion Fund’s 2009/10 Annual Report (http://www.cyclingpromotion.com.au/content/view/506/145/)
- an Australian Cyclist article (http://www.australiancyclist.com.au/article.aspx?aeid=5871)
- the NSW RTA’s Cycling in Sydney: Bicycle Ownership and Use report (http://www.rta.nsw.gov.au/usingroads/downloads/cyclinginsydney_bicycleownershipanduse.pdf)
Participation rates published in the ABS’ Participation in Sport and Physical Recreation reports indicate there was a 38% increase in cycling participation between 1997/8 and 2009/10.
Participation rates published in the ERASS reports point to a 17% increase in cycling participation between 2001 and 2009.
According to the CPF 2009/10 Annual report, there was 32% increase in the number of people cycling in Australia between 2000 and 2009/10.
The Australian Cyclist article stated that
- the number of adult cyclists increased by 17% between 2001 and 2006
- cycling trips to work grew at an average of 22% across Australian capital cities, with Melbourne soaring 42% between 2001 and 2006
According to the RTA report, between 2001 and 2005, cycling for
- transport on weekdays increased by 23%
- transport on weekends increased by 58%
- social/recreational reasons on weekends grew by 67%
ABS census data released today shows that cycling to work in Sydney has increased by 40% since 2006 (from 0.7% to 1.0%), co-inciding with significant improvements in cycling infrastructure (http://handle.unsw.edu.au/1959.4/52030).
The cycling boom ‘myth’ is just one example of Prof Rissel getting it badly wrong. A far more worrying example is Prof Rissel’s claim that helmets reduce ‘the risk of head injury by up to 15%’ (http://theconversation.edu.au/ditching-bike-helmets-laws-better-for-health-42).
Prof Rissel has apparently not understood the results reported in the paper he cited (http://www.cycle-helmets.com/elvik.pdf), and
grossly understated the protective effect of helmets. The Elvik meta-analysis actually found that wearing a helmet reduces the risk of
- fatal injury by 77%
- brain injury by more than 50%
- head injury by more than 50%
Should Sydney University be concerned that one of it’s Professors of Public Health has so grossly misrepresented the level of protection offered by helmets, and is advocating that it is healthier to cycle without a helmet than not to cycle?
Please login below to comment, OR simply register here :
Thank you for registering, we have just sent you a confirmation email, which includes your new password to be entered below.