2949775843

2949775843



65


Land value map as a source of information about local real estate market

tion was used to determine the percentage share for each feature affecting it. The results are presented in Table 1.

Table 1. Degree of explaining the difference łn transaction prices with the features under study


Position in relation to the city centre

Dominant type of buildings

Technical condition of buildings

Environmental

conditions

Public transport

Technical condition of road surfaces

'o

4

o

Social infrastructure

Fashion

Safety

Residents' status

Population density

Degree of explaining the difference in land prices (in %)

14.39

4.05

2.78

13.53

20.09

23.30

8.26

8.26

0.08

3.17

1.46

0.65

Source: own materiał


In the case of land real estate, access by road, public transport accessibility and the lo-cation affected the prices to the greatest extent. Whether the location was fashionable or not had the smallest effect on the price.

Because of a strong correlation between particular variables which characterised partic-ular districts, the adopted features were grouped according to their similar character. Clus-ter analysis was used to this end (Fig. 1).

Tree diagram Single bond Euclidean distance

Fig. 1. Results of agglomeration of particular features of districts Source: own materiał




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