Abstract

Public transport is key to the sustainability of the mobility of billions of people around the world. Many sources of data are available to help its planning, namely surveys, fare collection system, and crowdsourced applications. This paper is the synthesis of a workshop that was aimed at characterising these sources of data and find how can we better use them to complement each other. Ultimately, the goal is to obtain a continuous flow of rich and meaningful data that will feed tools and models, targeting better public transport systems. The paper presents the data sources with their strengths and weaknesses, and then discuss about the challenges related to data fusion and the evolving potentialities brought by the increasing availability of this data.