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dc.contributor.authorAloi, Alfredo
dc.contributor.authorAlonso Oreña, Borja 
dc.contributor.authorBenavente Ponce, Juan
dc.contributor.authorCordera Piñera, Rubén 
dc.contributor.authorEchaniz Beneitez, Eneko
dc.contributor.authorGonzález, Felipe
dc.contributor.authorLadisa, Claudio
dc.contributor.authorLezama Romanelli, Raquel
dc.contributor.authorLópez Parra, Álvaro
dc.contributor.authorMazzei, Vittorio
dc.contributor.authorPerrucci, Lucía
dc.contributor.authorPrieto Quintana, Darío 
dc.contributor.authorRodríguez Gutiérrez, Andrés 
dc.contributor.authorSañudo Ortega, Roberto 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2020-10-20T07:52:34Z
dc.date.available2020-10-20T07:52:34Z
dc.date.issued2020-05
dc.identifier.issn2071-1050
dc.identifier.otherTRA2017-85853-C2-1-Res_ES
dc.identifier.urihttp://hdl.handle.net/10902/19363
dc.description.abstractABSTRACT: This article analyses the impact that the confinement measures or quarantine imposed in Spain on 15 March 2020 had on urban mobility in the northern city of Santander. Data have been collected from traffic counters, public transport ITS, and recordings from traffic control cameras and environmental sensors to make comparisons between journey flows and times before and during the confinement. This data has been used to re-estimate Origin-Destination trip matrices to obtain an initial diagnostic of how daily mobility has been reduced and how the modal distribution and journey purposes have changed. The impact on externalities such as NO2 emissions and traffic accidents have also been quantified. The analysis revealed an overall mobility fall of 76%, being less important in the case of the private car. Public transport users dropped by up to 93%, NO2 emissions were reduced by up to 60%, and traffic accidents were reduced by up to 67% in relative termses_ES
dc.description.sponsorshipFunding: The infrastructure of the Tra_c and Dynamic Modeling Laboratory of the University of Cantabria has been partially funded by FEDER funds (Ref. No: UCAN10-4E-549). The image recognition methodology applied in this research has been developed thanks to financing from the Spanish Ministerio de Economía, Industria y Competitividad from the project referenced TRA2017-85853-C2-1-R.es_ES
dc.format.extent18 p.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 (CC BY) license.es_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceSustainability 2020, 12(9), 3870es_ES
dc.titleEffects of the COVID-19 Lockdown on Urban Mobility: Empirical Evidence from the City of Santander (Spain)es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.3390/su12093870
dc.type.versionpublishedVersiones_ES


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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 (CC BY) license.Excepto si se señala otra cosa, la licencia del ítem se describe como © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 (CC BY) license.