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

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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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