App-assisted travel surveys use location and motion sensors to measure location and to predict means of transportation. This discussion paper describes the machine learning techniques to translate sensor data to transport mode predictions.
Travel surveys with apps focus on reduction of respondent burden. An option to reduce burden is to derive transport modes from location and motion sensor data. Respondents do not have to submit transport modes to the survey or need only check the predictions.