Reachability analysis for care networks

Compute drive-time and walk-time access to facilities, model coverage gaps, place ambulances with travel-time matrices.

Healthcare access is a geospatial question. How many people live inside a 30-minute drive of an A&E? Which neighbourhoods have no GP within 15 minutes on foot? Where do you stage the next ambulance to minimise expected response time?

Footstep answers each one with a single tool combo. get_isochrone draws walk-time and drive-time polygons from facilities or census tracts. get_matrix powers ambulance-positioning models by computing time grids between candidate stations and demand points. geocode and search_places anchor patient addresses and named facilities respectively.

Outputs are GeoJSON-ready for direct rendering in commissioning dashboards or open-source mapping stacks.

Patterns

What this looks like in practice

Common shapes mapped to the tools you'd reach for.

Coverage-gap mapping

Compute 15-minute walking isochrones from every GP surgery in a region. Subtract from the region polygon to see which neighbourhoods have no walkable access. Cross-reference with population data to quantify the gap.

Ambulance station placement

Build a matrix between candidate station locations and high-demand grid cells. Solve for the configuration that minimises 95th-percentile response time across the demand surface.

Patient-address normalisation

Take a clinic's patient roster, run through batch_geocode, and tag each record with admin hierarchy via reverse_geocode. Useful for catchment analysis and outreach planning.

Tools you'll reach for