Transportation Mode Split with Mobile Phone Data

Mode split is an important step in the estimation of travel demand. Beside traditional costly surveys, many mode split methods, which employ the new emerging large-scale social signal data, are recently proposed. In this paper, we develop a mode split model based on the widely available mobile phone data and transportation networks' geographical data. The shares of three transportation modes (car, public transportation, walking) in each census tract are estimated for Boston central and suburb area. Finally, the proposed model is validated with real mode share data obtained from the U.S. census.