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In the following article, a method of modeling urban environment exposed to road noise pollution for the purpose of noise nuisance assessment has been proposed. In order to accomplish it, GIS technology has been applied to divide the area under study into hexagonal fields. The presented case shows an area of urban environment exposed to noise pollution by means of object feature mapping, in each of the adopted elements. An acoustic and non-acoustic analysis of spatial distribution of the researched object features with the application of the adopted assessment indicators has been conducted. In particular, as assessment indicators, the following have been used: landscape entropy (H), L Aeq (noise_sr), Simpson's diversity index (SIDI), area and length of transportation network (R a , R l), buildings (GSI) and number of stories (FSI), predominance of land cover (LIPI), equality of class distribution (SIEI), and geodiversity index (G d). The statistical analysis of the validity of the aforementioned indices has also been carried out. For the purpose of noise annoyance assessment modeling, the application of statistically relevant assessment indicators has been proposed with the special use of the neural network method.

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Article citation info: (*) Tekst artykułu w polskiej wersji językowej dostępny w elektronicznym wydaniu kwartalnika na stronie www.ein.org.pl PAszkowski w. The assessment of acoustic effects of exploited road vehicles with the use of subjective features of sound. Eksploatacja i