Analysis of Urban Displacements in Pandemics Using CovWay and GIS Applications

During pandemics, urban displacements were crucial for social distancing and mobilization efforts to prevent infection. Thus, the goal of this study was to develop the CovWay application, which made it possible to gather data from 35 individuals in pandemics to understand new behavioral patterns. A spatial interpolation methodology was used for the processing and cleaning of GIS data to extract the forms of mobility that were used, as well as the travel routines in 10 days. The findings allowed us to understand the importance of the use of technologies as applications in pandemic scenarios where it is difficult to obtain information due to the norms of physical and social distancing. The commute monitoring methodology allows for estimates of preferences, both in terms of routes and forms of mobility.