Browsing by Author "Hauptfleisch, Chantel"
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- ItemUrban cellular automata and agent based models for the simulation of urban dynamics: a review of practive and applications(Stellenbosch : Stellenbosch University, 2020-03) Hauptfleisch, Chantel; Du Plessis, Danie; Stellenbosch University. Faculty of Arts and Social Sciences. Dept. of Geography and Environmental Studies.ENGLISH ABSTRACT: Current scientific planning instruments and practices are inadequate to address the multidimensional problems and challenges faced by cities as complex dynamic systems. The aim of this research is to provide an international comparative analysis of Cellular Automata (CA) and Agent-based modelling (ABM) techniques and its potential application within spatial planning practices. The research provides explanations on the key considerations for spatial simulation model conceptualization, components, design and construction. Cellular Automata (CA) and Agent-based modelling (ABM) techniques abstract the real-world into a series of layers as a visual representation of complexity and spatial-temporal urban dynamics. The meta-analysis of published spatial simulation research results over the past decade (2009 – 2019) found that urban modelling approaches have grown consistently. Applications of urban simulation models appear to be regionally divergent with the major focus on the global North. Uptake of these urban models is lagging in areas with rapid urbanization and urban growth rates, which are predominantly located in the global South (including South Africa). The comparative analysis found that the development and design of urban models are also now incorporating aspects of strategic planning within their scenarios in order to measure and monitor the appropriateness and effectiveness of policy interventions, such as urban growth boundaries, zoning schemes, sustainable development outcomes and environmental protection zones. The research found that CA and ABM-based urban models improve the understanding of the local and historical contingent factors and how multidimensional and complex problems influence urban systems across time and space.