ON THE USE OF GENERALIZED ADDITIVE MODELS IN THE IMPACT OF COVID-19 ON HUMAN MOBILITY USING MOBILE POSITIONING DATA IN DKI JAKARTA, INDONESIA

This paper presents a mobility indicator derived from anonymized and aggregated mobile positioning data. The mobility indicator captures insights into the mobility patterns of the human in DKI Jakarta and it is expected to inform responses against the Covid-19. As an application, the indicator is used to study the impact of Covid-19 on mobility in DKI Jakarta. It is found that daily cases of Covid-19 and physical distancing interventions significantly reduces the level of mobility. This finding will support policymakers in formulating the best data-driven approaches for coming out of Covid-19 pandemic and determining future scenarios in case of new outbreaks.