Abstract
The subject of the study is the analysis of using the Topographic Objects Database (BDOT10k) and the Local Data Bank (BDL) to monitor sustainable development and quality of life in the city. The usefulness of this data was tested on the example of quality of life indicators in the city of Kielce and its neighborhood. The databases were analyzed in terms of their scope, relevance, and level of spatial aggregation. The study used the hierarchical analysis (AHP) and multi-criteria evaluation (MCE) method. The issue under consideration was presented in the form of a hierarchy, with a quality of life at the top. The lowest level of the hierarchy is formed by selected indicators defined in the standard ISO 37120. The methodology for calculating and visualization of each indicator is presented illustrating the diversity of life quality in the Kielce Functional Area.
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