3. GEOGRAPHICAL INFORMATION SYSTEMS AND URBAN GROWTH As given above, the research starts with the literature review of sustainable urban As given above, urban strategies are mainly based on sustainable development Figure 2.1: Sustainable Urban Form (Holden, 2004) the following fundamentals in Figure 2.1 suitability values in numerical form as matrices in the computer(Fig 3.1). following sections Table 3.3: Pairwise Comparison Values (Saaty, 1994) Pairwise comparison method is the process of comparing the relevance importance, Table 3.5: Calculation of Priority Vector The upper row is the order of the random matrix, and the lower row is the derived from Saaty’s book (Saaty, 1980). Figure 3.3: Probability surface of urban growth in Nanjing, 1988—2000 (Luo & Wei, 2009) probabilistic surface of urban growth (Figure 3.3). Table 3.7: Explanatory Variables for Nanjing Growth Probability(1988-2000) (Luo & Wei, 2009) Figure 3.4: Linkage between growth rules and parameters (Ding & Zhang, 2007) controlled by five factors as given in Figure 3.4. Figure 3.5: Artificial Neural Networks Model Framework (Pijanowski et al., 2009) Figure 3.6: Tehran from 1980 -2020 Simulated by Artificial Neural Networks (Pijanowski et al., 2009) Figure 3.7: Von Neumann and the Moore neighborhood (Liu, 2009). Figure 4.2: Famagusta Land Cover and Urban Growth 1963 Table 4.1: Selected Departments and Experts for Interviews problems. These are given as follows; the main objectives have been set for Sustainable Development scenario (Figure 4.4). achieved by following the policies indicated in the following Table 4.2 would make them sustainable. In order to create Sustainable Urban Growth for Famagusta calculating transition probability between land use types. After the decision of factors and constraints to each land use type, general constraint Figure 4.10: General Constraints for growth Figure 4.12: Distance to Road Map cellular automata modeling (see Figure 4.13). Figure 4.13: Distance to Road Fuzzy Transformed Map Figure 4.14: Combination of Constraints and Factors for Suitability Map combined for MCE suitability maps in IDRISI with Decision Support Tool (Figure 4.14). Figure 4.15: Visual Comparison of Actual and Simulated Land use for 2011 Figure 4.16: Visual Comparison of Actual and Simulated Land use for 2011 Figure 4.17: Visual Comparisons of Actual and Simulated Land covers for 2011 Figure 4.18: Comparison of Simulated and Actual Land Uses Figure 4.19: Simulated Land use 2020 under the Do Nothing Scenario local experts’ interview as that is explained in the previous section (Table 4.2.) Table 4.7. Table 4.8: Soil Characteristics in Famagusta Figure 4.22: Brownfield Areas Figure 4.23: Distance to City Center Figure 4.24: Soil Characteristics Figure 4.25: Soil Productivity Figure 4.26: Vegetation Figure 4.27: Distance from Natura 2000 Areas Figure 4.28: Distance to Open Space Figure 4.29: Distance to Local Services 4.2.2.2 Pairwise Comparison Table 4.9: Main Criteria Pairwise Comparison Matrix Table 4.10: Physical Compactness Criteria Pairwise Comparison Matrix Table 4.11: Environmental Protection Criteria Pairwise Comparison Matrix Table 4.12: Social Equity Criteria Pairwise Comparison Matrix Table 4.13: Brownfield Sub-Criteria Pairwise Comparison Matrix Table 4.14: Distance to City Center Pairwise Comparison Matrix Table 4.15: Soil Characteristics Pairwise Comparison Matrix Table 4.16: Soil Productivity Pairwise Comparison Matrix Table 4.17: Vegetation Pairwise Comparison Matrix Table 4.18: Distance to Natura2000 Sites Pairwise Comparison Matrix Table 4.19: Distance to Open Spaces Pairwise Comparison Matrix Table 4.20: Distance to Local Services Pairwise Comparison Matrix Table 4.21: Summary of the Criteria Sets Figure 4.31: General Constraints for Sustainable Scenario Figure 4.32: General Constraint Map Development for Sustainable Scenario Figure 4.33: Multi Criteria Evaluation Results for the Sustainable Scenario Figure 4.34: Simulation of Sustainable Scenario Step One: Opening Idrisi Shape to Idrisi Module an define the layer to be converted for values to be converted. Step One: Defining Suitability Layers and Criteria Zones in ArcGIS Step Two: Updating Attributes of Criteria Layers and Normalize Them for 0-255 Step Three: Converting Shapefile to IDRISI Raster Format by “Shapetoldr” tool
