The generic model was designed for simulating any system of cities in the world. Therefore, we extracted from an evolutionary theory of urban systems the main common properties to their evolution. The aim is to reproduce the spatio-temporal dynamics of interacting cities :
The model reproduces the emergence of hierarchy in city sizes and the complexification of urban socio-economic functions, stemming from spatial interactions that expand in range over time.
The concept of urban geographical situation, e.g. relative position in territories and networks, is translated into the environment of the model (map and contextual key parameters). Interacting cities are the agents of the model, whose main attributes are size (population and wealth) and a port-folio of functions. Rules for the acquisition of new functions and the market exchanges, which introduce asymmetries in the system dynamics, are the fundamental interactions which are responsible for the emergence of the structure of the system.
- Examples of flux charts at the initial and final date of a Simpop simulation -