No abstract

Concerning the propagation of noise in urban areas, the highest levels of sound pressure are found in denser places, where urban geometry Is densely packed and with more intense urban activities, Fact that ends up influencing the valuation of the properties of these regions. Given this scenario, it is necessary to reduce noise pollution in residential neighborhoods in order to reduce or even avoid the health damage caused by noise. Thus, this research sought to find a relationship between noise pollution and the valuation of residential properties in a region of the city of Maringá, PR. The study was conducted in the "Novo Centro" area that features a series of residential buildings, which is boosted by real estate developments. The sound pressure levels were monitored locally, along four blocks of Advogado Horácio Raccanello Filho Avenue, which includes high constructive templetes, characterizing the formation of an urban canyon. Population density, heavy traffic and real estate speculation in the region were also objects of study of this work. Based on the Comparative Market Data Method, the software SisDea was used to generate a prediction model for the valuation of real estate, through multiple linear regression, with the variables commonly used and the inclusion of noise. A connection was found between noise and real estate values in the region, with values decreasing as sound pressure levels increased, makes's clear that the apartments that are most exposed to the noise pollution of the place are less valued.