Changing accessibility, dwelling price and the spatial distribution of socio-economic activities

In this paper we present an activities location choice model with endogenous price which simulate, based on Expected Random Utility principle, the behavior of several agents of the urban system (i.e. the workers distinguished by income, the firms by economic sector) to estimate the spatial distribution of socioeconomic activities within the study area as well as the impact of differentiated changing accessibility on the dwellings price. The study area for this research is the metropolitan area of Napoli (South-Italy), for which we show the results of the model estimation and the results of a “backcasting” application to future transportation scenarios.