Resumen
In the Piedmont region (Italy) the electronic ticketing system called BIP, is currently active across much of its territory, and the data collected in the Province of Cuneo since the full activation of the system (2014) provide today a sound source of information. Two different travel documents are available, travel passes and pay-per-use, with different validation rules: check-in only for travel passes and check-in and check-out for pay-per-use.Data produced by this electronic ticketing system employing smart cards allow to perform a detailed analysis of each user's behaviour, and calculate time and space distributions of each passenger trip. In detail, data originating from smart card transactions allow to trace back the trip chains, establish journey origins and destinations, and produce a ?travel diary? for each passenger. Based on this data, performance indicators (i.e. load factor) as well as user mobility patterns and origin-destination matrices can be calculated in an automated and reliable way.This article presents a methodology for assessing the quality of the data collected when information about boarding and alighting stops is available from the (on board) validation system. It also presents an algorithm to assign a destination for each trip where only the boarding information is available.In the case study of the Province of Cuneo, it was found that 91% of the pay-per-use journey data are reliable and can be used for further analysis, whereas with the use of the proposed algorithm it was possible to estimate the destinations for 82% of the travel pass trips.