In this contribution we describe the crowd and tra±c dynamics, modeling complex urban mobility. The pioneer investigations of I. Prigogine with a thermodynamical point of view (1960), and M. Batty with a dynamical approach (1971), are, in our opinion, the progenitors for a new theoretical look to the urban phenomena in a complex conceptual framework. Some features characterizing complexity are the non-linearity of the involved phenomena, a far from equilibrium statistical evolution, the network structure, the role of information, the emergence properties and the self-organization. When we study the urban mobility all these properties appear. Moreover also the elementary components of the urban systems, i.e. the citizens, are complex since they possess both a cognitive behavior and a physical dynamics. So the crowding and tra±c phenomena are an excellent laboratory in order to understand, describe and model complexity. Finally studying crowding and tra±c, there needs a new knowledge power in simulation to perform virtual experiments able to predict criticalities, like transitions from order to chaos, and to detect control parameters for the system governance. 3
A.Bazzani, B.Giorgini, S.Rambaldi (2009). Traffic and Crowd Dynamics: The Physics of the City. BERLIN : springer.
Traffic and Crowd Dynamics: The Physics of the City
BAZZANI, ARMANDO;GIORGINI, BRUNO;RAMBALDI, SANDRO
2009
Abstract
In this contribution we describe the crowd and tra±c dynamics, modeling complex urban mobility. The pioneer investigations of I. Prigogine with a thermodynamical point of view (1960), and M. Batty with a dynamical approach (1971), are, in our opinion, the progenitors for a new theoretical look to the urban phenomena in a complex conceptual framework. Some features characterizing complexity are the non-linearity of the involved phenomena, a far from equilibrium statistical evolution, the network structure, the role of information, the emergence properties and the self-organization. When we study the urban mobility all these properties appear. Moreover also the elementary components of the urban systems, i.e. the citizens, are complex since they possess both a cognitive behavior and a physical dynamics. So the crowding and tra±c phenomena are an excellent laboratory in order to understand, describe and model complexity. Finally studying crowding and tra±c, there needs a new knowledge power in simulation to perform virtual experiments able to predict criticalities, like transitions from order to chaos, and to detect control parameters for the system governance. 3I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.