---
title: "Walkability AI — 15-Minute City Analysis for Real Sites"
description: "Generate 15-minute city walkability scores with 4 persona types (standard, family, elderly, commuter), isochrone maps, and weighted amenity categories. Works on any global address."
canonical: https://atlasly.app/product/walkability-ai
primary_keyword: "15-minute city walkability tool"
target_query: "15-minute city walkability analysis tool for urban planners"
intent: commercial
---

# Walkability AI — 15-Minute City Analysis

> Run a production-grade 15-minute city walkability analysis on any address. Four persona types (standard, family, elderly, commuter), weighted amenity categories, isochrone maps, and a comparable score — built for planners, architects, and masterplanners.

## Quick Answer

**What tool runs a 15-minute city walkability analysis on a real site?** Atlasly's Walkability AI calculates a 15-minute city score using pedestrian-network isochrones (not crow-flies distance), weights amenities by category (food, education, health, green space, culture, services, transport), and generates persona-specific results for standard/family/elderly/commuter walkers. Works globally. Free to try.

## What You Get

- **15-minute city score** — composite score out of 100, benchmarked against regional norms
- **Isochrone maps** — 5/10/15/30-minute walking, cycling, and public transport catchments
- **Amenity heatmaps** — where essential services cluster vs. gaps
- **Four persona types** —
  - **Standard** — adult walker at 4.8 km/h
  - **Family** — pushing a buggy, with a small child
  - **Elderly** — reduced mobility, longer time tolerance per metre
  - **Commuter** — weighted toward transport and services
- **Comparison mode** — score two or more sites side-by-side

## Amenity Categories (Weighted)

- Food — supermarkets, grocers, fresh food markets
- Education — primary, secondary, nursery
- Health — GP, pharmacy, clinic, hospital
- Green space — parks, playgrounds, public open space
- Culture — library, cinema, arts venue, place of worship
- Services — post office, bank, council office
- Transport — bus, rail, tram, metro, bike share
- Daily retail — cafe, restaurant, general retail

Each category is weighted based on frequency of use. Missing categories reduce the score.

## Data Sources

- OpenStreetMap amenities + regional authoritative POI datasets
- Actual walkable network (not road network) for isochrones
- Public transport via GTFS and national transport APIs

## Who Uses It

- Urban planners doing 15-minute city policy work
- Architects briefing masterplan teams
- Developers comparing acquisition sites
- Local authorities benchmarking neighbourhoods
- Academics and students analyzing accessibility

## How It Beats Alternatives

- vs. Walk Score — Walk Score uses crow-flies distance and US-biased POI data. Walkability AI uses actual pedestrian networks with multi-region data.
- vs. academic 15-min toolkits — those require Python + QGIS + data wrangling. Walkability AI runs on any address in a browser.
- vs. TfL PTAL — PTAL is transport-only. Walkability AI covers all essential services.

## Common Questions

**Does it work outside the UK?** Yes, globally. Accuracy scales with OSM density.

**Can I export the isochrones?** Yes — GeoJSON, Shapefile, and SVG export.

**How is "15-minute" defined?** Default: 15 minutes walking at 4.8 km/h. Adjustable per persona.

**Can I customize weights?** Persona presets are included. Custom weights on Teams plan.

**Does it connect to the site intelligence package?** Yes — walkability runs as part of the 17-step pipeline and in isolation.

## Links

- Try it: https://atlasly.app/auth
- Pricing: https://atlasly.app/pricing
- Related blog: https://atlasly.app/blog/how-a-15-minute-city-analysis-works-on-a-real-development-site