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Using Causal Inference to Estimate the Impact of Tube Strikes on Cycling Usage in London

Towards Data Science Luke Stuckey April 22, 2026
Using Causal Inference to Estimate the Impact of Tube Strikes on Cycling Usage in London
AI Summary— plain English for professionals

# When London's Subway Stops, More People Pedal A researcher used publicly available data to figure out what actually happens to bike usage when the London Underground goes on strike—rather than just guessing based on what seems obvious. By carefully comparing cycling patterns on strike days versus normal days, they were able to prove that people do switch to bikes when trains aren't running, which could help city planners prepare for future disruptions.

Turning free-to-use data into a hypothesis-ready dataset The post Using Causal Inference to Estimate the Impact of Tube Strikes on Cycling Usage in London appeared first on Towards Data Science.

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