Series 14 Vol 3 No 1 (2020)
Articoli

How COVID-19 Lockdown Impacted on Mobility and Environmental data

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

Published 2021-04-05

Keywords

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

How to Cite

Badii, C., Bellini, P., Bilotta, S., Daniele, B., Claudio, C., Difino, A., Ipsaro Palesi, A., Mitolo, N., Nesi, P., Pantaleo, G., Paoli, I., Paolucci, M., & Soderi, M. (2021). How COVID-19 Lockdown Impacted on Mobility and Environmental data. Bollettino Della Società Geografica Italiana, 3(1), 3-13. https://doi.org/10.36253/bsgi.v3i1.932

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.