A computer simulation, based on the garbage-can decisionmaking process, is presented in order to investigate effects of making plans and of two other organizational characteristics -- namely, decision cost and problem disutility -- on the behavior of complex systems. In this simulation a...

In this simulation, based on a spatial garbage-can model, I treat the urban dynamic system as a set of random-walk elements interacting with each other in time. Five elements are considered: decisionmakers, choice opportunities, problems, solutions, and locations. Decisionmakers, problems, and...

Based on the assumptions that cities are semi-lattices and that their spatial configuration are complex structure, I use one-dimensional cellular automaton representing a hypothetical, linear city as an analytic tool to investigate possible transition rules fulfilling these requirements, and...

The new emergent paradigm of urban development theory that is based on complexity sciences allows us to understand and analyse cities in a new way. Theoretically, complexity sciences enable us to depict the fundamental characteristics of urban development, including nonlinearity,...

Few techniques exist specifically for planning analysis. Commonly used decision techniques focus on different, partial aspects of coordinating decisions. The garbage-can model focuses on the context in which decisions emerge to explain descriptively how organizational choices are made; the...