This research investigates the travel behavior of users of an integrated mobility platform. Passive revealed preference data is collected from a smartphone application for integrated mobility. This data, consisting of the choices in a multimodal journey planner, allows evaluating travel behavior in integrated environments with high ecological validity. As such data has not been used yet for conventional travel behavior researches, this research also experiments with the application of conventional methods to this type of data. It is found that for the specific integrated platform, mostly public transport users engage with the platform. Public transport is dominant within the planned trips of users, and extreme situations are required for users to deviate in the mode choice between PT and non-PT alternatives. Furthermore, it is shown that discrete choice modeling is a suitable method for analyzing for this type of data.