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Travel Time Matrix

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Endpoints
Core/time-filter/fast

Performance

Customisation

Core Protobufproto

Performance

Customisation

Custom/time-filter

Performance

Customisation

H3

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Endpoints
Core/h3/fast

Performance

Customisation

Core Protobufproto

Performance

Customisation

Custom/h3

Performance

Customisation

Use case demosView all
Voronoi diagram
Divide areas based on travel time accessibility to multiple locations
Accessibility heatmap
Visualize how many locations are accessible from each area
Retail gravity model
Analyze customer catchment areas using gravity-based retail location analysis
Doughnut areas
Create concentric travel time zones around a single location
Cannibalization analysis
Analyze how new locations might cannibalize existing location catchment areas
Reachable population
Calculate the total population reachable from your locations

Isochrone

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Endpoints
Core/time-map/fast

Performance

Customisation

Custom/time-map

Performance

Customisation

Routes

Geohash

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Endpoints
Core/geohash/fast

Performance

Customisation

Core Protobufproto

Performance

Customisation

Custom/geohash

Performance

Customisation

Geocoding

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Endpoints
Geocoding Search/geocoding/search
Convert an address into lat-long coordinates
Reverse Geocoding/geocoding/reverse
Convert lat-long coordinates into an address
Distance Map

Data

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Endpoints
Places/v1/places
Shops, cafés, gyms, schools, surgeries: every point of interest.
Public transport/v1/transport/transit/stations
Stations, stops and lines.
Roads/v1/transport/roads/access
Major roads and where you get on or off them.
Open spaces/v1/open-spaces
Parks, gardens, woods and heaths, and how green every hexagon is.
Boundaries/v1/boundaries
Which boroughs, wards and regions a place is in.
Demographics/v1/demographics/cells
Who lives here, per hexagon.
Neighbourhood/v1/neighbourhood/cells
Noise, air, flood, crime, deprivation, broadband.
Proximity/v1/proximity/cells
Walking and driving time to everyday things.
Custom scores/v1/custom-scores
Your own checks, applied to homes or hexagons.
LoginFree trial API key
Core

Performance

Customisation

Core Protobuf

Performance

Customisation

Custom

Performance

Customisation

Core

Performance

Customisation

Core Protobuf

Performance

Customisation

Custom

Performance

Customisation

Use case demos

View all

Voronoi diagram

Divide areas based on travel time accessibility to multiple locations

Accessibility heatmap

Visualize how many locations are accessible from each area

Retail gravity model

Analyze customer catchment areas using gravity-based retail location analysis

Doughnut areas

Create concentric travel time zones around a single location

Cannibalization analysis

Analyze how new locations might cannibalize existing location catchment areas

Reachable population

Calculate the total population reachable from your locations

Core

Performance

Customisation

Custom

Performance

Customisation

Routes
Core

Performance

Customisation

Core Protobuf

Performance

Customisation

Custom

Performance

Customisation

Geocoding Search
Convert an address into lat-long coordinates
Reverse Geocoding
Convert lat-long coordinates into an address
Distance Map
Places
Shops, cafés, gyms, schools, surgeries: every point of interest.
Public transport
Stations, stops and lines.
Roads
Major roads and where you get on or off them.
Open spaces
Parks, gardens, woods and heaths, and how green every hexagon is.
Boundaries
Which boroughs, wards and regions a place is in.
Demographics
Who lives here, per hexagon.
Neighbourhood
Noise, air, flood, crime, deprivation, broadband.
Proximity
Walking and driving time to everyday things.
Custom scores
Your own checks, applied to homes or hexagons.
LoginFree trial API key
Created with TravelTime API|© OpenMapTiles|© OpenStreetMap contributors|Style credits

Neighbourhood per hexagon

/v1/neighbourhood/cells

What it is like to live here: noise, air quality, flood risk, crime, deprivation and broadband, per hexagon, per boundary, or in total. Neighbourhood docs

One row per hexagon. A hexagon is an H3 cell of about 0.1 km², a city block or two (resolution 9). Every dataset uses the same grid, so rows join on cell. Hexagon in the glossary

Location
Radius
m

Inside the box you drew. How to say where

layer
Noise
All sixNoiseAirFloodCrimeDeprivationBroadband
group_by
One row per hexagon
One row per hexagonOne totalPer countryPer nationPer regionPer countyPer boroughPer ward

Loading…

GET

https://data.traveltimeapp.com/v1/neighbourhood/cells?bbox=51.522,-0.140,51.538,-0.110&layer=noise