This paper examines the impact of socio-demographic and health factors on changes in travel behavior during the second phase of the COVID-19 outbreak. Two measures were proposed: reduction in trips to stores and reduction in trips by public transport. Using survey data from the United States Census Bureau, binary logit models were estimated. Results show that variables such as age, gender, education, marital status, work loss, financial difficulty, household size, work type, income, health status, and anxiousness are all significantly associated with changes in travel behavior.
