Assessing the Impact of Noise Pollution on Real Estate Prices using Smart Phones
Оценка влияния шумового загрязнения на цены на недвижимость с использованием смартфонов
2022-03-01
SCID: 54.1/9rw5p7dr
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ambient noise levelsnoise pollutionreal estate pricessmartphone-based noise measurementurbanization
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Abstract (AI)
As cities grow the level of ambient noise also grows with them, noise pollution is thus one of the major demerits of urbanization. Heavy machines, vehicles and sirens have been identified as some of the leading causes of noise. Finding a quiet and affordable accommodation amidst this aural chaos can be a major challenge. Researchers have shown that ambient noise levels have major impact on prices of estate properties. In studying the impact of noise on real estate, sophisticated equipment is often used, sequel to which, complex analyses are carried out to gain insight. This work also seeks to validate the fact that property prices are inversely correlated to noise levels but using a simpler and less expensive approach to measure and collect ambient noise levels using smart phones. Result obtained by using smart phones for data gathering, combined with data analysis, also validates the inverse relationship between noise and real estate prices, hence a cheaper alternative to sophisticated and expensive solutions.
Key Findings
1
Ambient urban noise pollution is identified as a significant factor influencing real estate property prices.
2
Combining smartphone-based noise measurements with data analysis provides a cheaper alternative to sophisticated noise-monitoring equipment.
3
Smartphones can measure and collect ambient noise data sufficiently for analyzing noise impacts on real estate prices.
4
The smartphone-based approach reproduces findings from prior research linking noise exposure to real estate valuation.
5
The study validates an inverse relationship between ambient noise levels and real estate prices: noisier properties tend to be less expensive.
Research Object
urban real estate properties and their ambient noise environments
Research Subject
the inverse relationship between ambient noise levels and real estate prices
Publication Details
Publication Date
2022-03-01
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