The challenge
Data4Urbanism studies transport modes in the Strasbourg region. Its goal is to combine mobility data, weather data and air-quality data in a single visualization.
Objectives
- Process data from available RSS feeds.
- Filter noisy data.
- Observe mobility across the urban area.
Tools and context
Development primarily uses Python. The work described on the historical site formed part of Xinyue Yang’s final-year CSMI master’s internship, with PEPS AMIES and CNRS funding.