The impact of aircraft noise on housing prices in Poznan

Radosław Trojanek , Justyna Tanaś , Saulius Raslanas , Audrius Banaitis


: In the paper, we analyzed the impact of aircraft noise on housing prices. We used a dataset containing geo-coded transactions for 1328 apartments and 438 single-family houses in the years 2010 to 2015 in Poznan. In this research, the hedonic method was used in OLS (ordinary least squares), WLS (weighted least squares), SAR (spatial autoregressive model) and SEM (spatial error model) models. We found strong evidence that aircraft noise is negatively linked with housing prices, which is in line with previous studies in other parts of the world. In our research, we managed to distinguish the influence of aircraft noise on different types of housing. The noise depreciation index value we found in our study was 0.87% in the case of single-family houses, and 0.57% regarding apartments. One of the reasons for the difference in the level of impact of aircraft noise may be the fact that the buyers of apartments may be less sensitive to aircraft noise than the buyers of single-family houses.
Author Radosław Trojanek (WZ / KM)
Radosław Trojanek,,
- Department of Microeconomics
, Justyna Tanaś (WZ / KTOiZ)
Justyna Tanaś,,
- Department of Organisation and Management Theory
, Saulius Raslanas - Vilnius Gediminas Technical University, Lithuania
Saulius Raslanas,,
, Audrius Banaitis - Vilnius Gediminas Technical University, Lithuania
Audrius Banaitis,,
Journal seriesSustainability, ISSN 2071-1050, (A 20 pkt)
Issue year2017
Publication size in sheets0.75
Keywords in Englishimpact of aircraft noise, housing prices, hedonic methods, airport
ASJC Classification3305 Geography, Planning and Development; 2105 Renewable Energy, Sustainability and the Environment; 2308 Management, Monitoring, Policy and Law
Languageen angielski
Score (nominal)20
Score sourcejournalList
ScoreMinisterial score = 20.0, 24-03-2020, ArticleFromJournal
Publication indicators WoS Citations = 9; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.911; WoS Impact Factor: 2017 = 2.075 (2) - 2017=2.177 (5)
Citation count*23 (2020-09-09)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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