Impacto urbano del COVID: seis barrios, tres ciudades y tres países en las redes sociales = The urban impact of COVID-19: six neighbourhoods, three cities and three countries in social network data
Online version. Print available. "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 u...
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Published in | VLC arquitectura Vol. 9; pp. 301 - 332 |
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Main Authors | , , , |
Format | Journal Article |
Language | English Spanish |
Published |
01.10.2022
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Online Access | Get full text |
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Summary: | Online version. Print available. "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." Keywords: neighbourhood; urban centrality; social networks; urban transformations; COVID-19. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 content type line 23 ObjectType-Feature-2 |
ISSN: | 2341-2747 2341-2747 |