Following our post earlier this month, How to measure risk and improve safety for cyclists and pedestrians, we got some questions about how this analysis might apply in other large cities with Vision Zero programs.

We ran the same analysis on New York City, where we’re headed next week for the Vision Zero Cities conference. Here’s what we found. Thanks to Erik for the analysis.

Source: New York City Open Data portal, Strava analysis

The red hexagons indicate areas where more than 1 in 1,000 intersection crossings resulted in a collision in 2018. Priority Bicycle Districts are neighborhoods “with comparatively high numbers of cyclist KSI (Killed or Seriously Injured)…

Ridership data is an important complement to Vision Zero models and high injury network analysis. We should start using it.

Source: TIMS for collision data, Strava for cycling activity, SFMTA for the High Injury Network, Strava analysis

It’s a dangerous time to be on a bike in the U.S.

Despite a generally improving policy environment, political will and cycling facilities across U.S. cities, cyclists remain vulnerable road users: while motorist fatalities decreased in 2018, cyclist fatalities increased 10%.

The causes of these disturbing trends vary across geographies, but what most stakeholders can agree on is that interventions to improve safety need a way to identify and prioritize the areas where changes would generate the greatest improvement in…

Rafael Burde

Mode shift is a policy super weapon. Partnerships @Strava, previously @Lyft

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