Abstract
Abstract The article takes a fresh look at the concept of the "optimal" use of urban land. It discusses the procedure for choosing the "optimal" use of land within the context of rational spatial management practices and sets out a model solution for determining "optimal" land use types for given spatial and functional situations. A necessary set of geoinformation for informed decisions on choosing the "optimal" land use type is proposed. The study adds to the available knowledge concerning spatial analyses and simulations of "optimal" zoning processes; in doing so it applies the characteristic matrix method for inducing the optimal use of an area to diagnose the value of urban space and, in this way, to determine the "optimal" use under given circumstances. The article concludes by stating that the algorithm for selecting the "optimal” land use of an area significantly improves the decision-making process when carrying out the transformation of land use - the most important instrument for planning optimisation and organisation.
Highlights
Since the 19th century, the dominant view of urban land use has been based on the Ricardian rent concept and the monocentric city model
An urban economic model over a continuous plane with a spatial characteristic vector field was introduced by Fujita (FUJITA 1999) and others
Spatial management practices have a long-standing tradition in land use modelling – especially in the urban context. With this tradition as a backdrop, the aim of the study was to examine the usefulness of a land use modelling approach based on the concept of “optimality” and a set of mathematical algorithmic principles
Summary
Since the 19th century, the dominant view of urban land use has been based on the Ricardian rent concept and the monocentric city model. Location models present cities as economic models, or models of a city’s attractiveness potential (gravity models) In this vein, a number of seminal studies are worth noting. An urban economic model over a continuous plane with a spatial characteristic vector field was introduced by Fujita (FUJITA 1999) and others It is worth noting McHarg’s (MCHARG 1969) study, as it was of major importance in terms of using the spatial data presented in the form of layers (overlays) in managing environmental resources
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call