z-logo
open-access-imgOpen Access
Optimization and Control of the Urban Spatial Dynamics
Author(s) -
Ferdinando Semboloni
Publication year - 2004
Publication title -
complexus
Language(s) - English
Resource type - Journals
eISSN - 1424-8506
pISSN - 1424-8492
DOI - 10.1159/000093691
Subject(s) - convergence (economics) , task (project management) , computer science , process (computing) , plan (archaeology) , dynamics (music) , control (management) , mathematical optimization , set (abstract data type) , identification (biology) , system dynamics , operations research , mathematics , artificial intelligence , geography , engineering , ecology , economics , physics , systems engineering , archaeology , acoustics , biology , programming language , economic growth , operating system
Urban planning involves the assignment of land use to each land cell. This process coexists and may conflict with the complex self-organized dynamics of the urban system, which should be constrained by the plan. The purpose of this study is the identification of a method for attaining the planned goals through the utilization of the self-organized dynamics, and the minimization of the constraints. The paper is organized in three steps. First, the urban plan is defined as a process of optimization. Second, the set of optimal solutions is compared with the configurations resulting by the self-organized dynamics. Third, a method for the convergence of the self-organized dynamics with the optimal configuration is proposed. In conclusion, the study shows that planning a complex system may be a hard task, while the control and the utilization of the self-organized dynamics help in the attainment of a total utility.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom