Placepoint

Datasets

Walking to the public transport stops, already linked to every property.

Placepoint's derived analysis of walking distance from each building to the nearest public transport stop, calculated as isochrone zones at different time intervals (typically 5, 10 and 15 minutes). The model is based on Public transport stops from Entur and the footpath network from Kartverket.

UpdatedUpdated manually
Map layerThe property panel
Documenteddocs.placepoint.no, 2026-09-09

What the dataset contains

Walking to the public transport stops in Placepoint

Placepoint's derived analysis of walking distance from each building to the nearest public transport stop, calculated as isochrone zones at different time intervals (typically 5, 10 and 15 minutes). The model is based on Public transport stops from Entur and the footpath network from Kartverket.

For a residential developer, walking distance to public transport is one of the most important location factors. It decides the parking standard set in zoning plans, the home's market value and target group, and the municipality's assessment of density and utilisation rate. For a commercial property broker, it matters for office premises where commuting is a factor. Related: Public transport stops, Public transport routes, Public Transport Density.

Terms you will come across

This text is based on the dataset documentation, synced 16 October 2026.

Questions

About walking to the public transport stops

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How often is the data on walking to the public transport stops updated?

Updated manually. The frequency follows the source and is shown on the dataset in Placepoint.

Where does the data come from?

From Placepoint. We collect and quality-check the data, then link it to the right property, with the source and date on every field.

How do I see walking to the public transport stops for a property?

Look up the address in Fusion. The dataset is in the property panel for the property.

Can I get the dataset programmatically?

Yes. The same data is available in Placepoint API and in Placepoint AI through MCP, so you can bring it into your own systems and agents.

Used where decisions really matter

  • selvaag
  • skanska
  • peab
  • nordea
  • protector
  • dnb
  • oslofinans
  • colliers
  • pareto
  • visma
  • malling
  • vedal

See walking to the public transport stops for a property you know.We look up an address you choose, and you see the dataset on the map and in the property panel.