An Evaluation of Land Use Development Processes For The Knowledge Based Urban Development (KBUD) Using Agent Based Modelling.

Abstract

Cities remain centres of knowledge production. To foster a knowledge-based society 21st century city planners throughout the OECD world and beyond often propose localised cluster-based initiatives to spur growth based on innovation. This thesis deals with a comparative evaluation of urban planning methods of land use development process for Knowledge Based Urban Development?s (KBUD?s). In my thesis, I employ an agent based modelling (ABM) approach to evaluate the development process of a typical knowledge based urban development under 1) comprehensive planning and 2) incremental planning approach. My research findings indicate that during times of low demand, actor diversity and high willingness to pay (low uncertainty) the former method performs better, while during times of high demand, actor diversity and low willingness to pay the latter is favourable approach. Planners in the future need to exercise caution in choosing long term planning methods in developing mixed use clusters.