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Knowledge based spatio-functional optimisation of urban environment

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Title: Knowledge based spatio-functional optimisation of urban environment


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
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10
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.

11
Expert judgements
12
Synthesis No.1 arithmetic mean
13
Synthesis No.2 Principal Component Analysis
14
Weights derived as PCA scores
15
Scree plot of PCA
16
The synthesis
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19
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20
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?

21
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

22
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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