The construction of purpose-specific OD matrices using public transport smart card data

Around the world, more and more public transport operators opt for automated fare collection systems by means of smart cards. The data registered by such a system contain valuable information for transport planning. This research aims at increasing the usability of this data for the description of public transport travel demand. Travel demand is...

Data-driven public transport ridership prediction approach including comfort aspects

The most important aspects on which passengers base their choice whether to travel by public transport are the perceived travel time, costs, reliability and comfort. Despite its importance, comfort is often not explicitly considered when predicting demand for public transport. In this paper, we include comfort level in a modelling framework by...

Data-driven public transport ridership prediction approach including comfort aspects