Abstract
In a recent paper titled ENTHROPY AND URBAN ENTHALPY , (Nápoles 2024) the relationship between the Right to the City and the Urban System is analyzed. The Urban Dynamics_Entropy_Enthalpy mathematical analysis applies the New European Bauhaus principles to TUS Territorial and Urban Dinamyc System, calculating the probability of its sustainability in addition to predicting the moment in which the city shows signs of degradation, abandonment and death (Jane Jacobs), filling a scientific gap in urban planning matter through the integration of syntax and spatial semantics. This analysis explores the comprehensive relationship between economic, social, environmental, and spatial urban variables that explain the functioning of the Urban System. The equations relating the different urban variables are derived from various theoretical and practical studies across the different disciplines that analyze these four fields.
Complementarily now to the aforementioned heuristic methods that relate urban variables through equations, predictions of target variables can be obtained from input variables using Urban Neural Networks within the framework of Artificial Intelligence, without prior knowledge of the equations relating the urban variables. The processing power of modern processors, combined with the metaheuristic capabilities of neural networks, allows for the incorporation of a significantly larger number of input and output variables than the previous structured method. This enables the identification of hidden patterns among the various variables of the Complex Urban System, predicting outcomes that contribute to addressing the urban vulnerability of the Right to the City.
Keywords: Right to the City; Neural Network; Urban Science; Artificial Intelligence
