How COVID-19 Lockdown Impacted on Mobility and Environmental data
Bollettino della Società Geografica Italiana
https://doi.org/10.36253/BSGI.V3I1.932Abstract
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 infrast...
References (15)
- Badii, C., Belay, E. G., Bellini, P., Cenni, D., Marazzini, M., Mesiti, M., Nesi, P., Pantaleo, G., Paolucci, M., Valto- lina, S., Soderi, M., Zaza, I., (2018). Snap4City: A Scala- ble IOT/IOE Platform for Developing Smart City Appli- cations. In International Conference IEEE Smart City Innovation: IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Com- puting, Internet of People and Smart City Innovation, China 2018, IEEE Press. DOI: https://ieeexplore.ieee.org/ document/8560331/
- Bellini, P., Nesi, P., Paolucci, M., Zaza, I. (2018). Smart city architecture for data ingestion and analytics: Proces- ses and solutions. In Proceedings IEEE 4th International Conference on Big Data Computing Service and Appli- cations, Big Data Service (March 26-29, 2018), 137-144. DOI: 10.1109/BigDataService.2018.00028
- Nesi, P., Paolucci, M. (2018). Supporting Living Lab with Life Cycle and Tools for Smart City Environments. In The 24th International DMS Conference on Visualization and Visual Languages (Redwood City, San Francisco Bay, California, USA, June 29-30, 2018).
- Azzari, M., Garau, C., Nesi, P., Paolucci, M., Zamperlin, P. (2018). Smart City Governance Strategies to better move towards a Smart Urbanism. In The 18th Internatio- nal Conference on Computational Science and Its Appli- cations (ICCSA 2018) (Melbourne, Australia July 2-5, 2018).
- Badii, C., Bellini, P., Cenni, D., Difino, A., Nesi, P., Pao- lucci, M. (2017). User Engagement Engine for Smart City Strategies. In IEEE International Conference on Smart Computing (IEEE SMARCOMP 2017) (Hong Kong, May 29-31, 2017).
- Badii, C., Bellini, P., Nesi, P., Paolucci, M. (2017). A smart city development kit for designing Web and mobile Apps. In 2017 IEEE Smart World, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Com- puting, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). DOI: 10.1109/UIC-ATC.2017.8397569.
- Badii, C., Bellini, P., Difino, A., Nesi, P. (2020). Smart City IoT Platform Respecting GDPR Privacy and Securi- ty Aspects. IEEE Access, 8, 23601-23623. DOI: 10.1109/ ACCESS.2020.2968741
- Bellini, P., Bilotta, S., Nesi, P., Paolucci, M., Soderi, M. (2018). Real-Time Traffic Estimation of Unmonitored Roads. In IEEE-DataCom'2018, (Athens, 12-15 August 2018). https://ieeexplore.ieee.org/document/8512000/
- Bellini, P., Bilotta, S., Nesi, P., Paolucci, M., Soderi, M. (2018). Traffic Flow Reconstruction from Scattered Data. In IEEE International conference on smart compu- ting (IEEE SMARTCOMP) (Taormina, Italy, 18-20 June 2018).
- Google LLC. Google COVID-19 Community Mobili- ty Reports. https://www.google.com/covid19/mobility/ Accessed: <2020->.
- Aktay, A. et al. (2020). "Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.0)". In: ArXiv abs/2004.0.
- Vollmer, M.A.C. et al. (2020). Report 20: Using mobi- lity to estimate the transmission intensity of COVID-19 in Italy: A subnational analysis with future scena- rios.
- London, Imperial College. DOI: https://doi. org/10.25561/78677
- Badii, C., Nesi, P., Paoli, I. (2018). Predicting available parking slots on critical and regular services exploiting a range of open data. In IEEE Access, 6, 44059-44071. DOI: 10.1109/ACCESS.2018.2864157.
- Po, L., Rollo, F., Ramon Rıos Viqueiray, J., Trillo Ladoz, R., Bigi, A., Cacheiro Lopezx, J., Paolucci, M., Nesi, P. TRAFAIR: Understanding Traffic Flow to Improve Air Quality. In The 1st IEEE African Workshop on Smart Sustainable Cities and Communities (IEEE ASC2 2019)- In conjunction with the 5th IEEE International Smart Cities Conference (ISC2) (Casablanca, June 14-17, 2019).