Reading urban transformation based on geolocated crowdsourced data

Resumen

Social and economic instability in cities caused by the pandemic emergency has highlighted the necessity of carrying out diagnoses to identify courses of action for the purpose of reducing the vulnerability of urban areas in the face of future crisis. This research aims to identify how the impact of the COVID-19 pandemic and the measures adopted have influenced urban and economic activities and the use, presence and preferences of urban public spaces. Specifically, an analysis in several cities before and after the most critical phases of the pandemic is proposed based on virtual social network geodata. Since each individual represents a node of information exchange, it is hypothesized that a comparison between the data generated before and after the pandemic offer a first glance at how changes in the social (collective behaviors and preferences) and physical (economic and urban activities) dimensions in urban environments have been produced. The results provide a descriptive and contrasted ...