Urban mobility read at scale, with consistency.
Density, movement and occupancy by zone, standardized in H3 to compare areas and periods.
Urban management needs to compare different areas and moments, but mobility data is usually fragmented and without a common yardstick.
H3 indexing gives a single yardstick for the city movement. Density, flow and occupancy become comparable across regions and times, with anonymization by aggregation.
How it works: the urban fabric is read by the collaborative network. Anchors on public equipment and businesses, combined with the circulating devices that carry the SDK, generate events aggregated by H3 cell, the yardstick that makes neighborhoods and periods comparable.
The data is born anonymous through aggregation: what reaches the manager is density, flow and occupancy by zone and by hour, never the trajectory of a citizen. It is the basis for deciding transport, lighting, safety and public space use with evidence, not intuition.
Use cases
Density and occupancy
Reading of flow by zone throughout the day.
Urban mobility
Movement patterns between regions.
Fair comparison
The same H3 yardstick across neighborhoods, cities and periods.
Planning
Infrastructure decisions based on real movement.
The entire city read with the same yardstick: H3 cells comparable across neighborhoods and periods.