The divisive debate over bikes lanes in Toronto continues to remind me that we need far better urban data. People and politicians keep touting “evidence-based decisions,” but what exactly is that evidence? The high-level figure being thrown around by the anti-cycling side is that only something like 1% of residents use bike lanes. So obviously it only makes sense to focus on the 99% and not give up any space to this small minority group.
But this is highly aggregated data. It also doesn’t speak to any of the externalities associated with introducing new bike infrastructure. Looking at 2021 Census data, the number of cyclists was actually around 5% for the old City of Toronto and in some areas it was between 15-20%. However, it’s absolutely critical to note that this is only the people who selected cycling as their “primary mode of commuting” when submitting their responses to the last census.
Meaning, it excludes people who maybe only cycle 1-2 days a week, or who ride for leisure and/or for exercise, or who ride to their French class in the evenings (like me). I would also assume that these numbers have generally grown since 2021 given the overall investments that have been made in biking infrastructure. So overall, this is weak data. It’s a few years old. And it excludes many types of users. We need to get more granular.
Like, it’s great to see local business owners speaking out about the benefits that they have seen as a result of the Bloor bike lanes, but in the end, this is also anecdotal. We need real-time data, precise modal splits, the throughput of every major street, and much more. Then maybe we’ll be able to better optimize around the fact that we are a city divided by built form and by politics. That’s the thing about evidence-based decisions, they tend to get stronger with accurate evidence.
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