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Big Data Test Infrastructure (BDTI)
16 July 2020

Understand COVID-19 impact on mobility: City of Florence, Italy

To perform a cross correlation between the multiple datasets available within the city to understand how people were moving between the different districts, and derive insights about mobility and how services can be redesigned.

Pilot description

Pilot start-date: July, 2020

Objective: Florence wanted to leverage on data collected by Smart City Control Room (SCCR) - as a key part and enabler of a bigger project called REPLICATE - to ensure lockdown measures were lifted in a responsible and controlled manner. Analysing big datasets on citizens' movements, business locations and events sales could inform policy and ultimately determine how key activities for the region like tourism could re-open safely.  


Data used:  Data collected by Smart City Control Room (SCCR) to ensure lockdown measures were lifted in a responsible and controlled manner.

Data sources:  

  • Public wifi sensors (location, number of users connected)
  • Traffic sensors
  • Pollution sensors
  • Tickets sold to museums/events
  • City assets data map (location of parks, gardens, shopping centres)

Addressed use cases:

  • Predictive analysis
  • Descriptive analysis 
  • Time-series analysis

Stakeholders