How are we moving around our cities while facing a global pandemic? How have lockdowns affected movement? How do we accommodate urban travel that requires social distancing?
Using sensors from open data sources, we visualize movement of people on foot and by bicycle. Visualization reveals the role of weather, day of week, leisure, exercise, utility travel and compliance with lockdown measures. It helps to anticipate transport planning needs for a safe, sustainable urban travel future.
Conceived and implemented by
Ross Purves - Department of Geography, University of Zurich
Ralph Straumann - EBP, Data Science Team, Zurich
Jo Wood - giCentre, City, University of London