The term land-use covers a variety of topics, including activities such as residing, working and shopping; physical infrastructures such as homes and workplaces; and the outcomes of market processes, such as property of land values. Ali these topics can be affected by changes in transport, which will have a consequential effect on travel demand and, therefore, on transports supply system performances. To simulate these interactions, labelled in literature as integrated land- use/transport interactions, several modelling approaches have been proposed. One of the last ones applies behavioural discrete choice modelling to activity and residential location decisions, obtaining a theoretical consistency among land-use and transportation models.
The objective of this paper is both on the methodological issues and practical implications of the behavioural approach. Two residential and activity location choice models consistent with Random Utility Theory are presented. The models outlined, developed and calibrated far the city of Naples (Italy) and the city of Rome (Italy), are specified and the calibration results are discussed.
In order to validate the approach followed a comparative analysis based on empirical criteria, t-student statistic and model elasticity is finally presented.
