Dealing with emergencies is never an easy task. Coping with the Covid-19 emergency was and still is an incredibly tough and unprecedent challenge for mankind, not only from a healthy point of view, but also from a socio-economic point of view, where a key role will be played by a reliable and sustainable transport of people and goods. Professional and researchers from all disciplines have been required to adapt their models, methods and tools to support decision makers in coronavirus emergency days. This paper reports the experience of the authors for the analysis of the Rome mobility system to estimate the impacts of the progressive lockdown imposed by the government. It focuses on data available for monitoring, which have been used to carry out transport analytics both for private and public transport. Such analytics have been used for planning the reboot of the transport system to be ready for the post Covid-19 era.
Brinchi, S., Carrese, S., Cipriani, E., Colombaroni, C., Crisalli, U., Fusco, G., et al. (2021). Covid-19 Transport Analytics: Analysis of Rome Mobility During Coronavirus Pandemic Era. In Advances in Intelligent Systems and Computing (pp.1045-1055). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-61075-3_100].
Covid-19 Transport Analytics: Analysis of Rome Mobility During Coronavirus Pandemic Era
Brinchi S.;Carrese S.;Cipriani E.;Fusco G.;Gemma A.;Mannini L.;Petrelli M.
2021-01-01
Abstract
Dealing with emergencies is never an easy task. Coping with the Covid-19 emergency was and still is an incredibly tough and unprecedent challenge for mankind, not only from a healthy point of view, but also from a socio-economic point of view, where a key role will be played by a reliable and sustainable transport of people and goods. Professional and researchers from all disciplines have been required to adapt their models, methods and tools to support decision makers in coronavirus emergency days. This paper reports the experience of the authors for the analysis of the Rome mobility system to estimate the impacts of the progressive lockdown imposed by the government. It focuses on data available for monitoring, which have been used to carry out transport analytics both for private and public transport. Such analytics have been used for planning the reboot of the transport system to be ready for the post Covid-19 era.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
