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Dangerous areas are multi-block clusters of collisions with injuries or deaths. Clustering may reveal high-risk areas that would be missed by focusing on single points (like intersections) with many collisions. Clusters were identified by tuning a density-based clustering algorithm, Density-Based Spatial Clustering of Applications with Noise (DBSCAN).
The below map contains 50 of the most dangerous areas for cyclists in New York City.
Please visit the project GitHub page to see how this was made.
Note that this may take a few seconds to load.
Click on icons for more information. The cluster a collision belongs to can be seen by clicking on individual icons. The cluster ID number may be higher than the number of clusters shown on the map.
Collisions with valid latitude and longitude coordinates from July 2012 through May 2024