Big Data Processing and Analysis on the Impact of COVID-19 on Public Transport Delay

Mihaita, A-S; Ou, Y; Chen, F

Big Data Processing and Analysis on the Impact of COVID-19 on Public Transport Delay

Mihaita, A-S Ou, Y Chen, F

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Publisher:: Academic Press
Publication Type:: Chapter
Citation:: Data Science for COVID-19 Volume 2: Societal and Medical Perspectives, 2021, 2
Issue Date:: 2021-10-22

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	2020_Covid19_impact_on_bus_delay_PREPRINT_chapter.pdf	Submitted version	1.92 MB	Adobe PDF	View/Open

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Field	Value	Language
dc.contributor.author	Mihaita, A-S
dc.contributor.author	Ou, Y
dc.contributor.author	Chen, F
dc.date.accessioned	2022-02-02T05:55:20Z
dc.date.available	2022-02-02T05:55:20Z
dc.date.issued	2021-10-22
dc.identifier.citation	Data Science for COVID-19 Volume 2: Societal and Medical Perspectives, 2021, 2
dc.identifier.isbn	0323907709
dc.identifier.isbn	9780323907705
dc.identifier.uri	http://hdl.handle.net/10453/154127
dc.description.abstract	Data Science for COVID-19, Volume 2: Societal and Medical Perspectives presents the most current and leading-edge research into the applications of a variety of data science techniques for the detection, mitigation, treatment and ...
dc.language	en
dc.publisher	Academic Press
dc.relation.ispartof	Data Science for COVID-19 Volume 2: Societal and Medical Perspectives
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Big Data Processing and Analysis on the Impact of COVID-19 on Public Transport Delay
dc.type	Chapter
utslib.citation.volume	2
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/A/DRsch The Data Science Institute
utslib.copyright.status	closed_access	*
pubs.consider-herdc	true
dc.date.updated	2022-02-02T05:55:18Z
pubs.publication-status	Published
pubs.volume	2

Abstract:

Data Science for COVID-19, Volume 2: Societal and Medical Perspectives presents the most current and leading-edge research into the applications of a variety of data science techniques for the detection, mitigation, treatment and ...

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/154127