Knowledge based spatio-functional optimisation of urban environment

Knowledge based spatio-functional optimisation of urban environment

Richard Pouš & Tomáš HlásnyMatej Bel University, Faculty of Natural Sciences, Dept. of Geography, SLOVAKIA

The purposesTo 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 potentialTo classify city spatial reserves into the appropriate suitability categories

The properties of knowledge-based optimisation of urban environment

Multiciteria nature

Operationality

Objectification

Retrogressive controlling

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

Case Study – Banska Bystrica city (Central Slovakia)

•Position

•History

•Functions

Area of interest

Banska Bystrica city built up area delimited by plot borders

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)

Materials and methodsData

Field mapping Extracting data from municipal database Cadastre maps

DatabaseGeoMedia 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.)

The criteria usedKind of urbanely unused areaPosition towards central city zoneDistance from the city functional centreDistance from the city built up area edgesSizeCompactnessSlopeSlope aspectPosition towards climate inversionsAccessibility

Further criteria considered•Ownership •Engineering networks•Prices of plots•Functional surrounding of the area•etc.

Expert judgements

Synthesis No.1 – arithmetic mean

Synthesis No.2 – Principal Component Analysis

Weights derived as PCA scores

Scree plot of PCA

The synthesis

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?

Conclusion

The methodology is sensitive mainly to criteria and adjudicators selection and chosen synthesizing scheme.

The case study provedThe 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

Morphological Intensification of Spatial Development in Postsocialist Cities - Banská

Bystrica (Central Slovakia) Case Study

Richard Pouš & Tomáš HlásnyMatej Bel University, Faculty of Natural

Sciences, Dept. of Geography, SLOVAKIA