development

Map4Citizens-Beta goes public

In a 3-month sprint we developed a new application: Map4Citizens. Try it out now and check how well your location in Munich meets your needs. Interested in also getting this tool for your city? Just get in contact with us!

GOAT is now available for the whole of Germany

We launch GOAT nationwide! GOAT is now available with many new features for the whole of Germany and can be transferred to any region worldwide.

Survey on GOAT 3.0 - Join in!

You live in Germany and would like to support a scientific project in favor of pedestrian and bicycle oriented planning? Then take part in our 10-minute survey.

New research project “GOAT 3.0”!

Our new project “GOAT 3.0” started last month! Within this 3-year project, GOAT functions will be significantly expanded in a co-creative development process.

Project WALKIE successfully completed

The WALKIE project has successfully reached every milestone! GOAT was transferred to Freiburg and extended to include new indicators: a walkability index and potential pedestrian flows.

High quality data, now automatic

The Mapillary API is the first step towards automating data collection through automated image recognition and image segmentation. We use this data in GOAT to improve the data basis of our analyses.

Hackathon: Development of a Walkability Index

We are one of the lucky winners of the MobiData BW Hackathon, where we developed “WALKIE” – a prototypic walkability index and an algorithm to calculate potential pedestrian flows. We will continue the development in a 3-month innovation phase.

Release 1.0

We are happy to announce that we successfully launched version GOAT1.0. Therefore, we are one step closer to our goal of GOAT becoming a useful planning instrument to shape livable communities.

Testing innovative data collection approaches

How does the GOAT-team come to a project for on-street delivery robots? Of course, we share the same walking and cycling environment. We used a prototype measuring box to automatically detect and collect surface and smoothness information of road infrastructure.