A unified approach to the construction of algorithms for optimising population allocation using spatial interaction

Environ Plan A. 1985 Nov;17(11):1447-58. doi: 10.1068/a171447.


PIP: Normative-behavioral models (NB-models) make it possible to form optimal strategies of urban development with due consideration of random and uncontrollable processes taking place in urban systems, as occurs with passenger flow distributions. This paper deals with the further development of these intermediary planning models. Corresponding optimization algorithms are developed and their behavior is studied. The development of intermediary models, which allow the incorporation or real processes taking place in urban syustems and the formulation of optimal control strategies, is pertinent because normative-optimization models and behavioristic models do not sufficiently account for urban systems. In section 2 the structure and interpretation of NB-models are given; section 3 is devoted to a study of the general structure of optimization algorithms for NB-models; and the analysis of their behavior is section 4.

MeSH terms

  • Demography*
  • Economics
  • Geography
  • Models, Theoretical*
  • Population*
  • Research*
  • Social Planning
  • Urban Population*
  • Urbanization