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By comparing these values with pre-COVID-19 data, it is possible to infer the likely effect of urban mobility and spatial configuration on the air quality. In the present study, a time-series prediction model is enhanced to estimate the nationwide NO2 concentrations before and during the lockdown measures in the United States, and 54 cities are included in the study. The prediction generates a notable NO2 difference between the observations if the lockdown is not considered, and the changes in urban mobility can explain the difference. It is found that the changes in urban mobility associated with various road textures have a significant impact on NO2 dispersion in different types of climates. https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/ http://schema.org/hasPart https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/resources/114ea0d4-8d42-4a3a-8025-b1aeb1f16d9c https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/ http://schema.org/identifier https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9 https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/ http://schema.org/name Association between NO2 concentrations and spatial configuration: a study of the impacts of COVID-19 lockdowns in 54 US cities https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/ http://w3id.org/ro-id/rohub/model#creation_mode MANUAL https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#LiveRO https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://w3id.org/ro/earth-science#BibliographyResearchObject https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro/terms/earth-science#BibliographyResearchObject https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Foglini, Federica. "Association between NO2 concentrations and spatial configuration: a study of the impacts of COVID-19 lockdowns in 54 US cities." ROHub. Dec 10 ,2021. https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9. https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/resources/114ea0d4-8d42-4a3a-8025-b1aeb1f16d9c http://schema.org/author mailto:service-account-generation-service https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/resources/114ea0d4-8d42-4a3a-8025-b1aeb1f16d9c http://schema.org/contentSize 274 https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/resources/114ea0d4-8d42-4a3a-8025-b1aeb1f16d9c http://schema.org/contentUrl https://api.rohub.org/api/resources/114ea0d4-8d42-4a3a-8025-b1aeb1f16d9c/download/ https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/resources/114ea0d4-8d42-4a3a-8025-b1aeb1f16d9c http://schema.org/creator mailto:service-account-generation-service https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/resources/114ea0d4-8d42-4a3a-8025-b1aeb1f16d9c http://schema.org/dateCreated 2021-12-10 09:59:16.265687+00:00 https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/resources/114ea0d4-8d42-4a3a-8025-b1aeb1f16d9c http://schema.org/dateModified 2021-12-10 09:59:16.266495+00:00 https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/resources/114ea0d4-8d42-4a3a-8025-b1aeb1f16d9c http://schema.org/description The massive lockdown of global cities during the COVID-19 pandemic is substantially improving the atmospheric environment, which for the first time, urban mobility is virtually reduced to zero, and it is then possible to establish a baseline for air quality. By comparing these values with pre-COVID-19 data, it is possible to infer the likely effect of urban mobility and spatial configuration on the air quality. In the present study, a time-series prediction model is enhanced to estimate the nationwide NO2 concentrations before and during the lockdown measures in the United States, and 54 cities are included in the study. The prediction generates a notable NO2 difference between the observations if the lockdown is not considered, and the changes in urban mobility can explain the difference. It is found that the changes in urban mobility associated with various road textures have a significant impact on NO2 dispersion in different types of climates. https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/resources/114ea0d4-8d42-4a3a-8025-b1aeb1f16d9c http://schema.org/encodingFormat text/plain https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/resources/114ea0d4-8d42-4a3a-8025-b1aeb1f16d9c http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/resources/114ea0d4-8d42-4a3a-8025-b1aeb1f16d9c http://schema.org/name Association between NO2 concentrations and spatial configuration: a study of the impacts of COVID-19 lockdowns in 54 US cities https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/resources/114ea0d4-8d42-4a3a-8025-b1aeb1f16d9c http://schema.org/sdDatePublished 2021-12-10 09:59:16.265687+00:00 https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/resources/114ea0d4-8d42-4a3a-8025-b1aeb1f16d9c http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/resources/114ea0d4-8d42-4a3a-8025-b1aeb1f16d9c http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/ro-crate-metadata.json http://purl.org/dc/terms/conformsTo https://w3id.org/ro/crate/1.1 https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/ro-crate-metadata.json http://schema.org/about https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/ https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/ro-crate-metadata.json http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/CreativeWork mailto:service-account-generation-service http://schema.org/name service-account-generation-service mailto:service-account-generation-service http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Agent https://w3id.org/np/RAdZaypjKlXMWiOIPG3n1ulxiyfoRxYIpDiJhpdzKnoys/provenance https://w3id.org/np/RAdZaypjKlXMWiOIPG3n1ulxiyfoRxYIpDiJhpdzKnoys/assertion http://www.w3.org/ns/prov#wasDerivedFrom https://api.rohub.org/api/ros/1167bfef-0c7c-4278-add5-49e85669e4b9/crate/download/ro-crate-metadata.json https://w3id.org/np/RAdZaypjKlXMWiOIPG3n1ulxiyfoRxYIpDiJhpdzKnoys/pubinfo https://w3id.org/np/RAdZaypjKlXMWiOIPG3n1ulxiyfoRxYIpDiJhpdzKnoys http://purl.org/dc/terms/created 2026-03-03T16:43:58.946+01:00 https://w3id.org/np/RAdZaypjKlXMWiOIPG3n1ulxiyfoRxYIpDiJhpdzKnoys http://purl.org/dc/terms/creator https://w3id.org/kpxl/gen/terms/RoCrateBot https://w3id.org/np/RAdZaypjKlXMWiOIPG3n1ulxiyfoRxYIpDiJhpdzKnoys http://purl.org/nanopub/x/introduces https://w3id.org/ro-id/1167bfef-0c7c-4278-add5-49e85669e4b9/ https://w3id.org/np/RAdZaypjKlXMWiOIPG3n1ulxiyfoRxYIpDiJhpdzKnoys http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/nanopub/x/RoCrateNanopub https://w3id.org/np/RAdZaypjKlXMWiOIPG3n1ulxiyfoRxYIpDiJhpdzKnoys http://www.w3.org/2000/01/rdf-schema#label Association between NO2 concentrations and spatial configuration: a study of the impacts of COVID-19 lockdowns in 54 US cities https://w3id.org/np/RAdZaypjKlXMWiOIPG3n1ulxiyfoRxYIpDiJhpdzKnoys/sig http://purl.org/nanopub/x/hasAlgorithm RSA https://w3id.org/np/RAdZaypjKlXMWiOIPG3n1ulxiyfoRxYIpDiJhpdzKnoys/sig http://purl.org/nanopub/x/hasPublicKey MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB https://w3id.org/np/RAdZaypjKlXMWiOIPG3n1ulxiyfoRxYIpDiJhpdzKnoys/sig http://purl.org/nanopub/x/hasSignature w72oox8Ky774vQNoRJQUyP03/MSX9rubMGFs+a58xsAJ0jE6Ew4KIywB11RkR/vkAw4u4RCKR09PtMci8Yhsz6JI5kws6C3b9wZSyxG+xa5Wa/Hkr+Jb0ea6M095RwzDAnSPSf7sTlx8ztEI/Qn20sHq3u9VZEWQ3aIYzQ8n/9gyAI+Oxc1MQ5F4kQgBmJP19coAe3irg77pJGgDfR4+xbkHOcB5+hCvm7DdtlfEs+t28ER4K03TvhfanUE4PdTuXdGVpBzCoj64uqRSwMCeMGSJbIRLP3VoVBiifiRDCGESDtvSHmnMQxXrxIKWyTYHCKcirCrgrItIv23y8kr5Ug== https://w3id.org/np/RAdZaypjKlXMWiOIPG3n1ulxiyfoRxYIpDiJhpdzKnoys/sig http://purl.org/nanopub/x/hasSignatureTarget https://w3id.org/np/RAdZaypjKlXMWiOIPG3n1ulxiyfoRxYIpDiJhpdzKnoys https://w3id.org/np/RAdZaypjKlXMWiOIPG3n1ulxiyfoRxYIpDiJhpdzKnoys/sig http://purl.org/nanopub/x/signedBy https://w3id.org/kpxl/gen/terms/RoCrateBot