Municipalities
The methodology includes not only the way of collecting and processing data but also, in the first step, the actual determination of the choice of cities (as we have determined only the municipalities over 3000 inhabitants /inclusive/), which we examine and compare in the ranking. The availability of data (for ex-post evaluation) also plays an important role in the choice of self-government, as in many cases local data is used to assess factors.
Benchmark
Index layout
Six key 'smart' characteristics have been identified as relevant for our investigation: economy, people, governance, mobility, environment and housing. These six characteristics are considered a relevant group characterizing the smart city.
Cities in the chart
A total of 90 evaluation indicators
Key characteristics can be divided into 31 relevant factors that reflect the most important aspects of each intelligent characteristic evaluated. Finally, each factor was defined by a set of corresponding indicators. This Index is built on the research by prof. Griffinger.
Benchmark
Conversion of data in evaluation indicators
Indicators (statistical data) are defined in different ways and therefore show completely different levels of values and different ranges that cannot be merged in any form. Therefore, these indicators are standardized through the transformation of, which results in a distribution with an average of 0 and a standard deviation of 1.
Map of municipalities
Unify indicators and statistical cumulation of cities
We need to create functional urban areas to bring together cities and their surrounding areas. Fragmentation of public administration at the municipal level, where 70% of municipalities have less than 1,000 inhabitants, creates high overheads and hampers the effectiveness of local government.
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