Huge thanks to co-authors Matthew Page, Adrian Bauman, @meghanwinters.bsky.social, Robyn Gerhard, Nyssa Clarke and Laolu Arogubdade

But when we take this approach without strong evaluation, we miss opportunities to understand how and why interventions succeed or fail, who they benefit and who they leave behind.

👉 Good evidence doesn't slow action - it sharpens it.

✅ Evidence matters. We need to get better at robustly evaluating what gets implemented. Rigorous, comparative studies are vital to provide evidence about what works and for whom, and in what contexts. We so often hear "we know what to do, we just need to do it" - which is partially true.

✅ There are lots of promising examples. This includes bike and walking school buses that boosted active travel to school by 42%.

✅ Travel behaviour is complex and people's decisions are influenced by a myriad of factors, such as safety perceptions, convenience, social norms and local contexts - and we need to make sure that combinations of interventions reflect people's needs and this complexity.

Key findings:
✅ Infrastructure is essential - high-quality infrastructure interventions (e.g. protected bike lanes, modal filters) were the most effective interventions
✅ But infrastructure is not the only way. A number of well designed behavioural interventions were shown to be effective

And the associated paper now published: doi.org/10.1080/2374...

This is rad!