Using the validation data of smart cards to better design public transport networks

The paper aims at defining an algorithm able to build the origin-destination matrix from the check in data collected in the extra-urban area of Torino, where thousands of people commute everyday using smart-cards to validate their travel documents while boarding. To this end, the methodological approach relied on a survey along three months to record smart-card validations. Peak and off-peak periods have been defined according to the validation frequency. Then, the origin-destination matrix has been estimated using the time interval between two validations to outline the different legs of the journey. Finally, the transport demand has been matched with the existing services showing which areas were not properly covered by public transport. The results of this research would assist public transport operators and local authorities in the design of a more suitable transport supply in accordance with users’ needs.