TY - JOUR
T1 - Social Mobility Patterns in the World's Populated Cities through COVID-19
AU - Jiménez-Preciado, Ana Lorena
AU - Gavira-Durón, Nora
N1 - Publisher Copyright:
© 2021 The authors.
PY - 2021
Y1 - 2021
N2 - Objective: identify social mobility patterns in the world's most populated cities from the ravaging pandemic of COVID-19 and the confinement and social distancing measures. Method: ternary diagrams to examine the simultaneous movement to different places (grocery, services, parks, workplaces, residence, and transit). Specifically, we use crosshair ternary plots and a Gaussian Kernel Density Estimator (KDE) for ternary density diagrams. Results: for the most part, the mobility reduction was between 40% and 60% in the selected cities. Nevertheless, there were more significant transit cases, but not workplaces or residences, suggesting that the informal market may absorb part of the labor work. Limitations and implications: the main limitation of this analysis is in scaling the data since the mobility statistics represent negative percentages. Main contribution: the work's principal contribution and originality lie in using ternary diagrams, allowing the identification of social mobility patterns in the largest cities and understanding how displacement of populations has changed since COVID-19.
AB - Objective: identify social mobility patterns in the world's most populated cities from the ravaging pandemic of COVID-19 and the confinement and social distancing measures. Method: ternary diagrams to examine the simultaneous movement to different places (grocery, services, parks, workplaces, residence, and transit). Specifically, we use crosshair ternary plots and a Gaussian Kernel Density Estimator (KDE) for ternary density diagrams. Results: for the most part, the mobility reduction was between 40% and 60% in the selected cities. Nevertheless, there were more significant transit cases, but not workplaces or residences, suggesting that the informal market may absorb part of the labor work. Limitations and implications: the main limitation of this analysis is in scaling the data since the mobility statistics represent negative percentages. Main contribution: the work's principal contribution and originality lie in using ternary diagrams, allowing the identification of social mobility patterns in the largest cities and understanding how displacement of populations has changed since COVID-19.
KW - COVID-19
KW - mobility
KW - populated cities
KW - ternary diagrams
UR - http://www.scopus.com/inward/record.url?scp=85151010038&partnerID=8YFLogxK
U2 - 10.21919/remef.v16i3.675
DO - 10.21919/remef.v16i3.675
M3 - Artículo
AN - SCOPUS:85151010038
SN - 1665-5346
VL - 16
JO - Revista Mexicana de Economia y Finanzas Nueva Epoca
JF - Revista Mexicana de Economia y Finanzas Nueva Epoca
IS - 3
M1 - e675
ER -