How COVID-19 Lockdown Impacted on Mobility and Environmental data

Authors

  • Claudio Badii DISIT Lab, Department of Information Engineering (DINFO), University of Florence, Italy
  • Pierfrancesco Bellini DISIT Lab, Department of Information Engineering (DINFO), University of Florence, Italy
  • Stefano Bilotta DISIT Lab, Department of Information Engineering (DINFO), University of Florence, Italy
  • Bologna Daniele DISIT Lab, Department of Information Engineering (DINFO), University of Florence, Italy
  • Cenni Claudio DISIT Lab, Department of Information Engineering (DINFO), University of Florence, Italy
  • Angelo Difino DISIT Lab, Department of Information Engineering (DINFO), University of Florence, Italy
  • Alessandro Ipsaro Palesi DISIT Lab, Department of Information Engineering (DINFO), University of Florence, Italy
  • Nicola Mitolo DISIT Lab, Department of Information Engineering (DINFO), University of Florence, Italy
  • Paolo Nesi UniFI
  • Gianni Pantaleo DISIT Lab, Department of Information Engineering (DINFO), University of Florence, Italy
  • Irene Paoli DISIT Lab, Department of Information Engineering (DINFO), University of Florence, Italy
  • Michela Paolucci DISIT Lab, Department of Information Engineering (DINFO), University of Florence, Italy
  • Mirco Soderi DISIT Lab, Department of Information Engineering (DINFO), University of Florence, Italy

DOI:

https://doi.org/10.36253/bsgi.v3i1.932

Keywords:

Covid-19 lockdown, mobility and transport, environmental data, smart city

Abstract

According to the COVID-19 lockdown and successive reopening a number of facts can be analysed. The main effects have been detected on: mobility and environment, and specifically on traffic, environmental data and parking. The mobility reduction has been assessed to be quite coherent with respect to what has been described by Google Global mobility report. On the other hand, in this paper a number of additional aspects have been put in evidence providing detailed aspects on mobility and parking that allowed us to better analyse the impact of the reopening on an eventual revamping of the infection, also taking into account of the Rt index. To this end, the collected data from the field have been compared from those of Google and some considerations with respect to the Imperial college Report 20 have been derived. For the pollutant aspects, a relevant reduction on most of them has been measured and rationales are reported. The solution has exploited the Snap4City IOT smart city infrastructure and data collector and Dashboard in place in Tuscany.

Downloads

Published

2021-04-05

Issue

Section

Articoli