Plan4Better
NewGOAT AI

From your planning question to an answer you can stand behind

GOAT is the WebGIS with AI: you ask, the AI finds the data, analyzes it and makes the map. You check every step yourself.

GOAT by Plan4Better · Made in Germany

Trusted by municipalities, transport authorities and planning offices

  • Logo Sweco
  • Logo City of Freiburg
  • Logo MobiData Baden-Württemberg
  • Logo City of Amberg
  • Logo EIT Urban Mobility
  • Logo stattbau münchen
  • Logo City of Fürstenfeldbruck
  • Logo MOND
  • Logo Technical University of Munich
  • Logo Metropolregion Rhein-Neckar
  • Logo City of Munich
  • Logo BBSR
  • Logo City of Mannheim
  • Logo Agglo Basel
  • Logo Greenpeace
  • Logo City of Bonn
  • Logo LSBG Hamburg
  • Logo City of Kaiserslautern

Open-source, cloud-based, with AI

The WebGIS GOAT

One platform for the whole spatial workflow: bring or find your data, run accessibility and GIS analysis, automate the repetitive parts and share the results as dashboards or print-ready maps. Do each step yourself, or let GOAT AI take the first pass.

The GOAT project Wiesbaden: public transport access, no layers yet, with the map of Wiesbaden
GOAT AI

What would you like to start with? Pick a question.

The GOAT project Wiesbaden: public transport access, no layers yet, with the map of WiesbadenThe GOAT catalog searched for stops, 90 datasets, with POI ÖPNV Steige - GTFS selectedThe map of Wiesbaden with the public transport stops from POI ÖPNV Steige - GTFS, coloured by modeThe map of Wiesbaden with the stops and the Zensus 2022 - Bevölkerung population grid
GOAT AI
The map of Wiesbaden with the public transport stops and the Census 2022 population gridCircles of 300 m straight-line distance around every stop in Wiesbaden, beside them the Buffer tool set to 300 mOver the circles, the 300 m walking catchments along the street network, beside them the Catchment Area toolOutlined in yellow, the areas within 300 m straight line but not within a 300 m walk; a popup shows 210,796 residents within a 300 m walk
GOAT AI
The Workflows tab in GOAT with an empty canvasThe workflow on the canvas: stops and population, then buffer and catchment area, then the resident countThe workflow has run, every step ticked, with the new result layers on the left
GOAT AI
The GOAT GitHub README showing the GPL-3.0 open-source licence alongside GDPR and Made-in-Germany marks
  1. Ask GOAT AI

    Type your planning question. GOAT AI finds the data, builds the workflow and makes the map. You can check and change every step.

    GOAT AI

    What would you like to start with? Pick a question.

  2. Bring data together

    Upload your own files, connect an external service, search our Catalog of over 30,000 curated datasets, or fetch OSM and Overture data. GOAT AI can also find the data that fits your question.

    GOAT AI
  3. Accessibility and GIS analysis

    Answer the spatial questions that used to need a GIS specialist, like accessibility, demand, coverage and site selection, in your browser.

    GOAT AI
  4. Automate

    Turn a week of manual analysis into a workflow you re-run in a click. GOAT AI can build the workflow for you.

    GOAT AI
  5. Share and collaborate

    Hand stakeholders a live dashboard or a printed report, whichever they need.

  6. Open-source and GDPR-safe

    Know exactly what’s under the hood: open-source foundations, no black box, no lock-in, and your data protected under EU rules.

GOAT in use

What are you planning?

Accessibility analysis, 15-minute-city assessments and service-coverage studies — in the browser, without a GIS department.

More on this industry

Hamburg is prioritising its barrier-free bus stop retrofits with GOAT

The State Agency of Roads, Bridges and Waterbodies Hamburg (LSBG) combines accessibility, timetable data, and sociodemographics in an automated multi-criteria analysis to determine which stops should be retrofitted first. This ensures that the limited budget is allocated where it will have the greatest impact.

Looped Pilot Project

The LOOPED dashboard showing every bus stop assessed across Hamburg, with the selected clusters highlighted

Model catchment areas, test network changes and show decision-makers the effect before anything is built.

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Munich is planning where to put shared mobility in Harthof

For the Harthof district, the City of Munich needed to know which locations would work for car and bike sharing. Using GOAT, walkability and accessibility were analysed, along with the city's digital twin and sociodemographic data to find the spots residents can reach on foot, then modelled scenarios for placing hubs there.

Harthof's integrated shared-mobility concept, mapped in GOAT

Score a site on who can actually reach it: transport, amenities, catchment, footfall.

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stattbau analyses how well connected housing sites really are

The Munich consultancy has used GOAT since 2022, looking at what people can reach on foot and by transit, bike and car sharing, and testing scenarios for adding services. The results feed mobility concepts for new neighbourhoods and workplaces, including how much parking is actually needed.

A parking-demand analysis for a housing site in GOAT

Find and defend locations with real accessibility and demand data instead of gut feel.

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Bonn is putting retail planning inside its own data platform

The City of Bonn is building a GIS-based retail planning workflow in GOAT, with automated accessibility and local supply analyses running on the city's Urban Data Platform. A question about how well a neighbourhood is served gets answered from data the city already holds.

Local-supply accessibility analysis for Bonn

Map exposure, identify underserved areas and evidence your climate and mobility targets.

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A national dashboard for tracking how cities are adapting to heat

BBSR is developing Germany's urban climate monitoring system on GOAT, with IÖR, LUP and bauchplan. It tracks nationally comparable indicators, from how many people can reach a green space that actually cools them to how much ground is still permeable. These feed federal monitoring from 2027, to judge whether adaptation is working.

The urban climate monitoring dashboard built on GOAT

GOAT is also in use inHealthcareEnergy

What they say about GOAT

Testimonials

Please read the testimonials from our satisfied customers, including public authorities, planning offices, consultants, academics and other experts from a range of fields.

Get started with GOAT

3 ways of working with us

We build GOAT, and we use it for our own planning projects. So you can take the tool and run with it, or leave the work with us.

  • A planner working with GOAT on a laptop

    Use GOAT yourself

    Subscribe, run, and automate your own geospatial analyses, and share maps & dashboards.

    Try GOAT for free
  • An accessibility heatmap with overlapping catchment areas around several locations

    We analyse it for you

    Tell us the question, we run the analysis in GOAT and hand you a finished study.

    Contact us
  • The Plan4Better team

    We build it for you

    Need something tailored? We build custom tools and dashboards on top of GOAT.

    Contact us

Check out our resources

Between projects and GOAT releases, we write about what we find.

Articles on our Blog

Analysis examples, method write-ups, map design, and the problems we ran into building them.

  1. GOAT 3.1 “Alpine”: an AI assistant that builds your analyses

    GOAT 3.1 brings GOAT AI, an EU-hosted assistant that finds data and builds workflows, plus a PT Network Explorer, street-network ÖV-Güteklassen and dashboard layer switchers.

  2. Five months to the new VerkehrsInfo BW, and the years of work that made it possible

    VerkehrsInfo BW, the new web platform of the Ministry of Transport Baden-Württemberg, built in five months with GOAT on open data from MobiData BW.

  3. 30,000 datasets, one click: how the GOAT AI-powered Catalog is built

    Every planning project starts with a search for data. This is how we built a catalog of more than 30,000 datasets that land in your GOAT project with one click, and why AI search does not replace it.

Spread pages from the Public Transport Quality whitepaper

Whitepapers

Longer pieces: how public transport quality is measured, and how a 15-minute city is actually calculated.

Read the whitepapers

Ready to make sense of your data?

Ask GOAT your first planning question, or build the analysis yourself. No GIS expertise needed.