Development of a multi-criteria spatial planning support system for growth potential modelling in the Western Cape, South Africa
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Adriaan van Niekerk [3] ; Danie du Plessis [1] ; Ilze Boonzaaier [1] ; Manfred Spocter [1] ; Sanette Ferreira [1] ; Lieb Loots [2] ; Ronnie Donaldson [1]
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[1] Stellenbosch University
Stellenbosch University
Stellenbosch, Sudáfrica
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[2] University of the Western Cape
University of the Western Cape
City of Cape Town, Sudáfrica
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[3] University of Western Australia
University of Western Australia
Australia
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- Localización: Land use policy: The International Journal Covering All Aspects of Land Use, ISSN 0264-8377, ISSN-e 1873-5754, Nº. 50, 2016, págs. 179-193
- Idioma: inglés
- Texto completo no disponible (Saber más ...)
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Resumen
Growth potential modelling is useful as it provides insight into which settlements in a region are likely to experience growth and which areas are likely to decline. However, growth potential modelling is an ill-structured problem as there is no universally-agreed set of criteria (parameters) that can be combined in a particular way (rules) to provide a definitive growth potential measure (solution). In this paper we address the ill-structured problem of growth potential modelling by combining multi-criteria decision making (MCDM), geographical information systems (GIS) and planning support systems (PPS) to generate a number of growth scenarios for settlements in Western Cape province of South Africa. A new framework and methodology for selecting, structuring and analysing multiple growth potential criteria is proposed. The framework, based on the principles of innovation potential and growth preconditions, was applied to demonstrate how it can be used to identify a series of candidate criteria relating to the growth potential of settlements. The criteria were subjected to a MCDM process involving criteria selection, weighting and normalisation. Two criteria sets, weighting schemes and normalisation methods were considered. Two different classification techniques were also evaluated. A total of 16 scenarios were generated using a newly-developed growth potential PPS (GPPSS). The paper shows how the GPPSS can be used to quantitatively and qualitatively assess the various scenarios and to select the most appropriate solution.
