Beepath
We study human mobility by recording GPS coordinates through an app for mobile devices.
We have collected and shared valuable micro-mobility data. We have also proposed new mathematical models to understand what micro-mobility looks like in specific neighbourhoods or in specific contexts. This knowledge provides evidence on how to redesign public spaces in terms of walkability and liveability. The collective interpretation of the results makes it possible to draw up clear proposals to municipal representatives to improve the use of public space.

Strengths
- Automated data processing in local servers.
- Availability of processed data in open repositories.
The collective interpretation of the results makes it possible to draw up clear proposals to municipal representatives for the improved use of public space.
- Collaborative creation of the data collection protocol in accordance with the purpose of the experiment (when to turn the application on and off, what actions are carried out, etc.).
- Guaranteed privacy and anonymity of participants.
- The collection of open-access, highly valuable micro-mobility data.
- New mathematical models that should make it possible to understand micro-mobility patterns in the neighbourhoods.
- The redesign of public spaces in terms of walkability and liveability.
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