The CORONA Business in Modern Cities

Vitello, Piergiorgio; Capponi, Andrea; Klopp, Pol; Connors, Richard; Viti, Francesco; Fiandrino, Claudio

doi:10.1145/3384419.3430606

Reference : The CORONA Business in Modern Cities


	Document type :	Scientific congresses, symposiums and conference proceedings : Poster
	Discipline(s) :	Engineering, computing & technology : Multidisciplinary, general & others
	To cite this reference:	http://hdl.handle.net/10993/45186

Title :	The CORONA Business in Modern Cities
Language :	English
Author, co-author :	Vitello, Piergiorgio [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
	Capponi, Andrea [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
	Klopp, Pol [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)]
	Connors, Richard [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
	Viti, Francesco [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
	Fiandrino, Claudio [IMDEA Networks Institute]
Publication date :	Nov-2020
Peer reviewed :	Yes
Event name :	The 18th ACM Conference on Embedded Networked Sensor Systems (SenSys 2020)
Event date :	November 16-19, 2020
Keywords :	[en] information systems ; Crowdsourcing ; Applied computing ; Health care information systems
Abstract :	[en] As a response to the global outbreak of the SARS-COVID-19 pandemic, authorities have enforced a number of measures including social distancing, travel restrictions that lead to the “temporary” closure of activities stemming from public services, schools, industry to local businesses. In this poster we draw the attention to the impact of such measures on urban environments and activities. For this, we use crowdsensed information available from datasets like Google Popular Times and Apple Maps to shed light on the changes undergone during the outbreak and the recovery
Permalink :	http://hdl.handle.net/10993/45186
DOI :	10.1145/3384419.3430606
FnR project :	FnR ; FNR12252781 > Andreas Zilian > DRIVEN > Data-driven Computational Modelling And Applications > 01/09/2018 > 28/02/2025 > 2017

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