ABSTRACT
ABSTRACT: Land-use modelling and spatial scenarios have gained increased attention as a means to meet the challenge of reducing uncertainty in the decision-making. Many of the recent modelling efforts incorporate cellular automata (CA) to accomplish spatially explicit land-use change modelling. The aim of the current project has been to explore urban dynamics by quantifying and analysing location and neighbourhood characteristics for newly developed urban areas and thus imparting useful information for cell based land-use modelling. The developed Neighbourhood Index gives precise knowledge about the role of neighbourhood land-uses based on real land-use dynamics data, and we expect that the proposed method to estimate neighbourhood characteristics will give strong support for land-use modelling by improving the empirical background.
