Springer papers


Marjan Gusev , Goran Velkoski , Ana Guseva and Sasko Ristov


This paper presents a methodology and case studies of modelling an optimisation intended to support the urban policy at cities, as a part of the research and development activities within the FP7 FUPOL project. The innovations are driven by both the demand of citizens and political decision makers in order to support the policy domains in urban regions based on ICT applications in urban policy modelling. The case study presents the mathematical model and modelling the optimisation, such as the best low cost project to be financed with the highest impact among several candidates. Urban planning optimisation functions can be deployed by complex mathematical processing or by simulation and visualisation models. The main contribution is in the generalised procedure to derive a proper optimisation model.


FUPOL Optimisation Urban Policy Computer simulation