{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T13:07:52Z","timestamp":1777381672838,"version":"3.51.4"},"reference-count":38,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T00:00:00Z","timestamp":1764806400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T00:00:00Z","timestamp":1764806400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["FCT UIDB\/04466\/2020 e UIDP\/04466\/2020"],"award-info":[{"award-number":["FCT UIDB\/04466\/2020 e UIDP\/04466\/2020"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Ambient Intelligence and Smart Environments"],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:p>\n                    The present work reports the impacts on urban mobility and air quality in Lisbon, Portugal, of the imposed restrictions to curb the transmission of SARS-CoV-2 virus, which causes COVID-19 disease. We performed a data-driven approach over Lisbon Smart cities data, collected from several sources, such as traffic and pollution. During the first Portuguese emergency period (18-03-2020 to 03-05-2020) the sharp reductions in anthropogenic activities, most importantly road traffic, resulted in generally reduced criteria air pollutant concentration compared to an homologous baseline from 2013\u20132019 measured in the six air quality monitoring stations throughout the city. The most negatively impacted air pollutants were NO2, with a reduction of 54.35% in traffic stations and 28.62% in background stations. Google mobility indicator for local commerce was found to be the main anthropogenic activity indicator for Lisbon, with a moderate and positive correlation with NO\n                    <jats:sub>2<\/jats:sub>\n                    concentration (\n                    <jats:italic toggle=\"yes\">r<\/jats:italic>\n                    =+0.54). A regressor ML pipeline was trained to predict NO\n                    <jats:sub>2<\/jats:sub>\n                    concentration with the available anthropogenic activity, weather, and air pollutant inputs from March\/2020 to March\/2021, achieving R\n                    <jats:sup>2<\/jats:sup>\n                    \u2009=\u20090.925 on the test set.\n                  <\/jats:p>","DOI":"10.1177\/18761364251396640","type":"journal-article","created":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T14:44:00Z","timestamp":1764859440000},"page":"234-248","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Mobility effect on city pollution: A case study"],"prefix":"10.1177","volume":"18","author":[{"given":"Alexandre","family":"Juma","sequence":"first","affiliation":[{"name":"Instituto Universit\u00e1rio de Lisboa (ISCTE-IUL), ISTAR, Lisboa, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7489-4380","authenticated-orcid":false,"given":"Luis B","family":"Elvas","sequence":"additional","affiliation":[{"name":"Instituto Universit\u00e1rio de Lisboa (ISCTE-IUL), ISTAR, Lisboa, Portugal"},{"name":"ISTAR, Centro de Investiga\u00e7\u00e3o em Ci\u00eancias da Informa\u00e7\u00e3o, Tecnologias e Arquitetura, Lisboa, Portugal"},{"name":"Faculty of Logistics, Molde University College, Molde, Norway"},{"name":"Inov Inesc Inova\u00e7\u00e3o \u2013 Instituto de Novas Tecnologias, Lisbon, Portugal"},{"name":"Breast Cancer Research Program, Champalimaud Foundation, Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6662-0806","authenticated-orcid":false,"given":"Joao C","family":"Ferreira","sequence":"additional","affiliation":[{"name":"Instituto Universit\u00e1rio de Lisboa (ISCTE-IUL), ISTAR, Lisboa, Portugal"},{"name":"ISTAR, Centro de Investiga\u00e7\u00e3o em Ci\u00eancias da Informa\u00e7\u00e3o, Tecnologias e Arquitetura, Lisboa, Portugal"},{"name":"Faculty of Logistics, Molde University College, Molde, Norway"},{"name":"Inov Inesc Inova\u00e7\u00e3o \u2013 Instituto de Novas Tecnologias, Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7072-0925","authenticated-orcid":false,"given":"Luis","family":"Nunes","sequence":"additional","affiliation":[{"name":"Instituto Universit\u00e1rio de Lisboa (ISCTE-IUL), ISTAR, Lisboa, Portugal"},{"name":"ISTAR, Centro de Investiga\u00e7\u00e3o em Ci\u00eancias da Informa\u00e7\u00e3o, Tecnologias e Arquitetura, Lisboa, Portugal"}]}],"member":"179","published-online":{"date-parts":[[2025,12,4]]},"reference":[{"key":"e_1_3_3_2_1","unstructured":"Apple Inc. \u201cMobility Trends Reports \u201d accessed: Jan. 2021. 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