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Correlating the Effect of Covid-19 Lockdown with Mobility Impacts: A Time Series Study Using Noise Sensors Data

2021-09-09Conference object Open access
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dc.contributor.authorD'Orey, Pedro
dc.contributor.authorPascale, Antonio
dc.contributor.authorCoelho, Margarida C.
dc.contributor.authorMancini, Simona
dc.contributor.authorGuarnaccia, Claudio
dc.date.accessioned2021-09-27T10:10:39Z
dc.date.available2021-09-27T10:10:39Z
dc.date.issued2021-09-09
dc.description.abstractThe Covid-19 crisis forced governments around the world to rapidly enact several restrictions to face the associated health emergency. The Portuguese government was no exception and, following the example of other countries, established various limitations to flat the contagions curve. This led to inevitable repercussions on mobility and environmental indicators including noise. This research aims to assess the impact of the lockdown due to Covid-19 disease on the noise levels recorded in the city of Porto, Portugal. Data from four noise sensors located in strategic spots of the city were used to calibrate and validate Time Series Models, allowing to impute the missing values in the datasets and rebuild them. The trend and the cyclic information were extracted from the reconstructed datasets using decomposition techniques. Finally, a Spearman correlation analysis between noise levels values and traffic volumes (extracted from five inductive loop detectors, located nearby the noise sensors) was performed. Results show that the noise levels series present a daily seasonal pattern and the trends values decreased from 6.7 to 7.5 dBA during the first lockdown period (March-May 2020). Moreover, the noise levels tend to gradually rise after the removal of restrictions. Finally, there is a monotonic relationship between noise levels and traffic volumes values, as confirmed by the positive moderate-to-high correlation coefficients found, and the sharp drop of the former during March-May 2020 can be attributed to the strong reduction of road traffic flows in the city.pt_PT
dc.description.sponsorshipThe authors acknowledge the support of projects: UIDB/00481/2020 and UIDP/00481/2020 - FCT; CENTRO-01- 0145-FEDER-022083; MobiWise (P2020 SAICTPAC/0011/2015); DICA-VE (POCI-01-0145-FEDER-029463). The authors acknowledge the municipality of Porto for having provided access to the data used in this work. A. Pascale acknowledges the support of FCT for the Scholarship 2020.05106.BD.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/18555
dc.language.isoengpt_PT
dc.relationCENTRO-01- 0145-FEDER-022083pt_PT
dc.relationCentre for Mechanical Technology and Automation
dc.relationCentre for Mechanical Technology and Automation
dc.relationAn integrated assessment of road traffic noise and pollutants critical hotspots through advanced models
dc.relation.ispartofseriesCISTER-TR-210801;
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectTraffic Noisept_PT
dc.subjectTime Series Modelspt_PT
dc.subjectCovid-19pt_PT
dc.subjectInductive Loopspt_PT
dc.titleCorrelating the Effect of Covid-19 Lockdown with Mobility Impacts: A Time Series Study Using Noise Sensors Datapt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleCentre for Mechanical Technology and Automation
oaire.awardTitleCentre for Mechanical Technology and Automation
oaire.awardTitleAn integrated assessment of road traffic noise and pollutants critical hotspots through advanced models
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00481%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00481%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//2020.05106.BD/PT
oaire.citation.conferencePlace8-10 September 2021, Aveiro, Portugalpt_PT
oaire.citation.title24th EURO Working Group on Transportation Meeting, EWGT 2021pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNamed'Orey
person.givenNamePedro
person.identifier.ciencia-id451F-8C52-3194
person.identifier.orcid0000-0002-2017-808X
person.identifier.ridA-5262-2013
person.identifier.scopus-author-id36730839700
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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