The urban impact of COVID-19: six neighbourhoods, three cities and three countries in social network data

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dc.contributor.author	Serrano-Estrada, Leticia	es_ES
dc.contributor.author	Martí Ciriquián, Pablo	es_ES
dc.contributor.author	Bernabeu-Bautista, Álvaro	es_ES
dc.contributor.author	Ruiz-Santacruz, Javier Sebastián	es_ES
dc.date.accessioned	2022-11-21T12:45:35Z
dc.date.available	2022-11-21T12:45:35Z
dc.date.issued	2022-10-28
dc.identifier.issn	2341-3050
dc.identifier.uri	http://hdl.handle.net/10251/189980
dc.description.abstract	[EN] The COVID-19 health emergency has impacted multiple dimensions of the complex physical, social, functional and economic structure of cities. This research encompasses a comparative diagnosis of some of the changes and transformations that have occurred in the urban environment due to the crisis and are reflected in geolocalised social network data. For this purpose, data from Google Places and Twitter are adopted as the main source of information. A mixed qualitative and quantitative methodology is proposed to analyse the increase and loss of economic activity (Google Places) and human presence (Twitter) in two periods: pre- and post-pandemic.As a case study, two areas with very different socio-economic conditions are analysed in three cities located in countries that adopted different pandemic restrictions measures - Valencia in Spain, Mexico City in Mexico and Gothenburg in Sweden. The diagnosis reported by these social networks is of great use in formulating useful strategies both for identifying the changes that have been taking place and for dealing with future disruptive scenarios.	es_ES
dc.description.abstract	[ES] La situación de emergencia sanitaria COVID-19 ha impactado múltiples dimensiones de la compleja estructura física, social, funcional y económica de las ciudades. Esta investigación lleva a cabo un diagnóstico comparado sobre algunos cambios y transformaciones que se han producido en el entorno urbano a causa de la crisis y que se reflejan en los datos de redes sociales geolocalizadas. Para ello, los datos de Google Places y Twitter se adoptan como principal fuente de información. Se propone un método mixto, cualitativo y cuantitativo, para analizar el aumento y la pérdida de actividad económica (Google Places) y presencia humana (Twitter) en dos periodos, pre y pos-pandemia. Como caso de estudio, se analizan dos ámbitos con condiciones socioeconómicas muy diferenciadas en tres ciudades localizadas en países que han adoptado distintas medidas de contención de la pandemia Valencia en España; Ciudad de México en México y Gotemburgo en Suecia . El diagnóstico informado por estas redes sociales es de gran utilidad para formular estrategias útiles tanto para identificar los cambios que se han venido produciendo como para afrontar futuros escenarios disruptivos.	es_ES
dc.description.sponsorship	Esta investigación ha sido cofinanciada por la Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital. Generalitat Valenciana, España (GV/2021/177) y la Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana, y el Fondo Social Europeo (ACIF/2020/173).	es_ES
dc.language	Español	es_ES
dc.language	Inglés	es_ES
dc.publisher	Universitat Politècnica de València	es_ES
dc.relation.ispartof	VLC arquitectura. Research Journal	es_ES
dc.rights	Reconocimiento - No comercial (by-nc)	es_ES
dc.subject	Neighbourhood	es_ES
dc.subject	Urban centrality	es_ES
dc.subject	Social networks	es_ES
dc.subject	Urban transformations	es_ES
dc.subject	COVID-19	es_ES
dc.subject	Barrio	es_ES
dc.subject	Centralidad urbana	es_ES
dc.subject	Redes sociales	es_ES
dc.subject	Transformaciones urbanas	es_ES
dc.title	The urban impact of COVID-19: six neighbourhoods, three cities and three countries in social network data	es_ES
dc.title.alternative	Impacto urbano del COVID: seis barrios, tres ciudades y tres países en las redes sociales	es_ES
dc.type	Artículo	es_ES
dc.identifier.doi	10.4995/vlc.2022.17762
dc.relation.projectID	info:eu-repo/grantAgreement/GV//GV%2F2021%2F177	es_ES
dc.relation.projectID	info:eu-repo/grantAgreement/GV//ACIF%2F2020%2F173	es_ES
dc.rights.accessRights	Abierto	es_ES
dc.description.bibliographicCitation	Serrano-Estrada, L.; Martí Ciriquián, P.; Bernabeu-Bautista, Á.; Ruiz-Santacruz, JS. (2022). The urban impact of COVID-19: six neighbourhoods, three cities and three countries in social network data. VLC arquitectura. Research Journal. 9(2):301-332. https://doi.org/10.4995/vlc.2022.17762	es_ES
dc.description.accrualMethod	OJS	es_ES
dc.relation.publisherversion	https://doi.org/10.4995/vlc.2022.17762	es_ES
dc.description.upvformatpinicio	301	es_ES
dc.description.upvformatpfin	332	es_ES
dc.type.version	info:eu-repo/semantics/publishedVersion	es_ES
dc.description.volume	9	es_ES
dc.description.issue	2	es_ES
dc.identifier.eissn	2341-2747
dc.relation.pasarela	OJS\17762	es_ES
dc.contributor.funder	Generalitat Valenciana	es_ES
dc.contributor.funder	European Regional Development Fund	es_ES
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