The availability of smart card data from public transport allows analysing current and predicting future public transport usage. As an essential part of public transportation, forecasting bus passenger demand plays an important role in resource allocation, network planning, and frequency setting. In this thesis, demand and offer of a public transport consortium located in north-western Italy have been taken into account. Also, demographical data about the customers and the land, and historical weather conditions of the area during the period of interest have been collected. Two main kinds of analyses of the demand have been performed: at first with respect to many possible features, such as type of day, hour of day, stop point, trip, kind of user (particularly in terms of age), kind of travel document.