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This paper presents an empirical analysis of a survey among public transit users in the Chicago metropolitan area. The survey collected information about travelers’ general preferences for travel-based multi-tasking during public transit use, revealed preferences for travel-based multi-tasking during a reference trip by public transit in the Chicago metropolitan area and general preferences for travel-based multitasking during the use of ride-hailing services. To analyze the preference data, a rank-ordered logit models is estimated. The findings show that preferences for performing different productive and non-productive tasks while traveling can largely be explained by individual-specific attributes such as age and marital status as well as by trip-specific attributes such as the trip duration and travel party composition. In addition, the survey requested information about the usefulness of travel-based multitasking during …