stations , ( v ) workplaces , and ( vi ) residential places . These data have been constructed by comparing visits and lengths of stays at certain places relative to a baseline ( Google Mobility , 2021 ) . The retail & recreation cate - gory provides data on mobility trends for places such as restaurants , cafes , and shopping centers . Grocery & pharmacy category provides data on mobility trends for sites considered to be essential trips , including grocery markets , drug stores , and pharmacies . Similar subcategories of related locations are grouped within parks , transit stations , workplaces , and residential places ( Google Mobility , 2021 ) . The use of such types of consumer mobility data is also in vogue in the extant literature ( e.g. , Persson et al . , 2021 ) .