Since the idea of smart city has become a practice to be implemented, urban planners and policy makers have needed tools that would allow them to exploit the information potential of the amount of data that the city itself produced in order to understand and manage its growing complexity. This article, after examining the close relationship between good governance based on a data-driven approach and the economic and social development of a city, describes the Snap4City Open Source solution, a Big Data Smart City Platform, adopted in European cities and region (Antwerp, Florence, Pisa, Santiago, France, Belgium, Finland, Tuscany, Sardinia, Croatia, Greece, etc.). Snap4City is GDPR compliant and designed to support city planners, combining strong tools for data integration, analytics, forecasting and visualization with the possibility of set Living Labs to enhance the collaboration among operators. Four scenarios have been selected and described (a. Florence Smart City Control Room; b. Traffic Flow Reconstruction and Air Quality predictions in Firenze, Pisa, Livorno; c. Air Quality in Helsinki for the citizens; d. People flows in Antwerp). The main KPIs have been briefly exposed, in order to evaluate the Snap4city impact in Smart City planning.
Snap4City: A big data platform for smart cities
Paola Zamperlin
2020-01-01
Abstract
Since the idea of smart city has become a practice to be implemented, urban planners and policy makers have needed tools that would allow them to exploit the information potential of the amount of data that the city itself produced in order to understand and manage its growing complexity. This article, after examining the close relationship between good governance based on a data-driven approach and the economic and social development of a city, describes the Snap4City Open Source solution, a Big Data Smart City Platform, adopted in European cities and region (Antwerp, Florence, Pisa, Santiago, France, Belgium, Finland, Tuscany, Sardinia, Croatia, Greece, etc.). Snap4City is GDPR compliant and designed to support city planners, combining strong tools for data integration, analytics, forecasting and visualization with the possibility of set Living Labs to enhance the collaboration among operators. Four scenarios have been selected and described (a. Florence Smart City Control Room; b. Traffic Flow Reconstruction and Air Quality predictions in Firenze, Pisa, Livorno; c. Air Quality in Helsinki for the citizens; d. People flows in Antwerp). The main KPIs have been briefly exposed, in order to evaluate the Snap4city impact in Smart City planning.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
