Recovering urban nightlife: COVID-19 insights from Google Places activity trends in Madrid

dc.contributor.authorSantiago-Iglesias, Enrique
dc.contributor.authorRomanillos, Gustavo
dc.contributor.authorCarpio-Pinedo, Jose
dc.contributor.authorSun, Wenzhe
dc.contributor.authorGarcía-Palomares, Juan Carlos
dc.contributor.authorRomanillos Arroyo, Gustavo
dc.contributor.authorCarpio Pinedo, José
dc.contributor.authorGarcía Palomares, Juan Carlos
dc.coverage.spatialeast=-3.7346195; north=40.4492369; name=Calle del Prof. Aranguren, 5, Moncloa - Aravaca, 28040 Madrid, España
dc.date.accessioned2025-05-28T08:40:42Z
dc.date.available2025-05-28T08:40:42Z
dc.date.issued2024-06-14
dc.description.abstractNightlife in urban areas is gaining interest due to its role as a stimulus of the local economy, tourism, safety, and public services. However, most studies analyse nighttime activity from a qualitative perspective and at a general urban scale, without going into a detailed spatial analysis. In this paper, we have used the spatio-temporal details of Google Places data, and the activity trends at a variety of facilities that provide Google Popular Times. We studied and mapped the recovery of nighttime activity in the city of Madrid after the pandemic restrictions. The results reveal that there was a significant decrease of over 80% in the activity levels of open premises, which also led to a decrease in their average occupancy rate. These reductions were particularly noticeable in the city center and during the late-night hours.
dc.description.departmentDepto. de Geografía
dc.description.facultyFac. de Geografía e Historia
dc.description.refereedTRUE
dc.description.statuspub
dc.identifier.citationSantiago-Iglesias, E., Romanillos, G., Carpio-Pinedo, J., Sun, W., & García-Palomares, J. C. (2024). Recovering urban nightlife: COVID-19 insights from Google Places activity trends in Madrid. Journal of Maps, 20(1). https://doi.org/10.1080/17445647.2024.2371927
dc.identifier.doi10.1080/17445647.2024.2371927
dc.identifier.officialurlhttps://www.tandfonline.com/doi/full/10.1080/17445647.2024.2371927
dc.identifier.relatedurlhttps://doi.org/10.1080/17445647.2024.2371927
dc.identifier.urihttps://hdl.handle.net/20.500.14352/120535
dc.issue.number1
dc.journal.titleJournal of Maps
dc.language.isoeng
dc.page.final10
dc.page.initial1
dc.publisherTaylor & Francis
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PCI2020-120706-2/ES/DEEP LEARNING ANTICIPATED URBAN MOBILITY PEAKS/
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116656RB-I00/ES/EVALUACION, ANALISIS Y PREDICCION DE LOS CAMBIOS EN LA MOVILIDAD URBANA TRAS LA PANDEMIA A PARTIR DE BIG DATA GEOLOCALIZADO/
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.cdu004.6-022.59
dc.subject.cdu004.738.5
dc.subject.keywordUrban Nightlife
dc.subject.keywordSpatio-temporal analysis
dc.subject.keywordLocation-based big data
dc.subject.keywordPoints of Interest (POIs)
dc.subject.keywordGoogle Popular Times
dc.subject.ucmGeografía humana
dc.subject.ucmSistemas de información geográfica
dc.subject.ucmGeografía económica
dc.subject.unesco5401.02 Geografía de las Actividades
dc.subject.unesco54 Geografía
dc.titleRecovering urban nightlife: COVID-19 insights from Google Places activity trends in Madrid
dc.typejournal article
dc.type.hasVersionAM
dc.volume.number20
dspace.entity.typePublication
relation.isAuthorOfPublication7af12201-dd9c-4deb-8f3e-16bacc43e6dd
relation.isAuthorOfPublication67a726f3-adab-43bf-8bd5-dcc548a5c316
relation.isAuthorOfPublicationb25b5524-305e-4aa0-a30e-5b15a398806c
relation.isAuthorOfPublication.latestForDiscovery7af12201-dd9c-4deb-8f3e-16bacc43e6dd

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