The best availability to the public transport system is in the city center. With increasing radius from the city center, the availability decreases as the highest values of the nearest public transport terminal distances tends to be clustered on the outskirts of the city, especially for all rail modes. It was found out that the municipalities that were joined to the capital most recently have smaller pubic transport service covarage and the activities in the development of the tram network was very small in the past decades. Furthermore, analysis, whether there are significant spatial clustering patterns was performed, by investigating Global and Local Autocorrelation in the data. For each explanatory variable and the dependent variable as well, neighbouring areas with similar spatial patterns were found.
The significant finding from this analysis is that the residential land price can be predicted using calculable distance variables. The distance from the centroid of the polygon to the nearest metro station is the strongest predictor. This finding confirms the role of the underground rail as core public transport system in Prague.