Contributions of passive data to the understanding of travel behaviours? : Implications for the planning and organisation of public transit system.

Overview & Synopsis

Public transit networks are critical systems for the proper functioning of cities.These systems must be rigorously planned and organized based on data collection and data analysis. The ambition of this thesis is to question the relevance of this mechanism and the contribution of new passive data sources. Four research axes are explored : the measurement of fare evasion, the estimation of demand in the form of origin-destination matrices, the study of the variability of travel behavior and the prediction of medium-term ridership. This work shows that passive data offer interesting opportunities to improve the planning of public transit networks.