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Knowledge based spatio-functional optimisation of urban environment

Knowledge based spatio-functional optimisation of urban environment. Richard Pouš & Tomáš Hlásny Matej Bel University, Faculty of Natural Sciences, Dept. of Geography, SLOVAKIA. The purposes.

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Knowledge based spatio-functional optimisation of urban environment

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  1. Knowledge based spatio-functional optimisation of urban environment Richard Pouš & Tomáš HlásnyMatej Bel University, Faculty of Natural Sciences, Dept. of Geography, SLOVAKIA

  2. The purposes • To adapt the multi-criteria decision making techniques to optimise the intensification processes in a city built up area • To demonstrate these ideas in the Banská Bystrica city case study • To develop the database of the city spatial reserves • To judge the city spatial reserves intensification potential • To classify city spatial reserves into the appropriate suitability categories

  3. The properties of knowledge-based optimisation of urban environment • Multiciteria nature • Operationality • Objectification • Retrogressive controlling

  4. The workflow • Data gathering and processing • Decision frame definition • Evaluating space potential • Expert judgements analysis and synthesis • Synthesising • Classification • Backward tuning of decision scheme • Interpretation

  5. Case Study – Banska Bystrica city (Central Slovakia) • Position • History • Functions

  6. Area of interest • Banska Bystrica city built up area delimited by plot borders

  7. Urbanely Unused Areas – The Main Potential of Morphological Intensification • The definition: All the areas laying in a city built up area the functions of which differ from those defined as “city functions” (i.e. living, working, recreation, traffic)

  8. Materials and methods Data • Field mapping • Extracting data from municipal database • Cadastre maps Database • GeoMedia Professional, v.5.2 • Spatial component (plots, rivers, roads, administrative borders, etc.) • Attribute component (unused areas geometric and thematic features, e.g. size, slope, distance from the city center, position in biocorridor, etc.)

  9. The criteria used • Kind of urbanely unused area • Position towards central city zone • Distance from the city functional centre • Distance from the city built up area edges • Size • Compactness • Slope • Slope aspect • Position towards climate inversions • Accessibility • Further criteria considered • Ownership • Engineering networks • Prices of plots • Functional surrounding of the area • etc.

  10. Expert judgements

  11. Synthesis No.1 – arithmetic mean

  12. Synthesis No.2 – Principal Component Analysis

  13. Weights derived as PCA scores

  14. Scree plot of PCA

  15. The synthesis

  16. Next plans • Include further information to evaluate intensification potential more effectively. • How intensification potential develops horizontally? Are there some global trends or gradients ? • How to implement the results of our research into municipal databases?

  17. Conclusion • The methodology is sensitive mainly to criteria and adjudicators selection and chosen synthesizing scheme. • The case study proved • The highest weights were reached by the criteria related to position towards important city components • The second place took the morphological properties • The third place took the environmental criteria related to the natural and hygienic parameters of the plots

  18. Morphological Intensification of Spatial Development in Postsocialist Cities - Banská Bystrica (Central Slovakia) Case Study Thank you for your attention Richard Pouš & Tomáš HlásnyMatej Bel University, Faculty of Natural Sciences, Dept. of Geography, SLOVAKIA

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