This study investigates the influence of environmental noise pollution on residential property purchase and rental rates within the Munich metropolitan region, resulting in a clear and emphasizing sign of differential impacts across various market segments. Using comprehensive datasets comprising structural, locational, and noise-related variables, the study utilizes the hedonic pricing model (HPM) and quantile regression (QR) analysis. The central problem question of the study was addressing how varying noise levels, mainly from road traffic, affect residential housing market segment prices. Findings from Ordinary Least Squares (OLS) regression reveal exceptional price depreciation in residential rents and purchase values that have occurred at moderate noise exposure levels (55-59 dB). Following the baseline assessment, the Quantile regression further highlights contradictory sensitivities; the lower-priced rental market shows a significant negative reaction to moderate noise, while higher segments display reduced sensitivity, potentially due to noise mitigation measures. On the contrary, the ownership market has negatively reacted to higher noise intensities among mid-to-high-priced properties, leaving distinct valuation standards and long-term investment considerations. The study asserts the necessity for comprehensive spatial controls and support for targeted urban planning and noise mitigation measures considering varying market sensitivities.     «

This study investigates the influence of environmental noise pollution on residential property purchase and rental rates within the Munich metropolitan region, resulting in a clear and emphasizing sign of differential impacts across various market segments. Using comprehensive datasets comprising structural, locational, and noise-related variables, the study utilizes the hedonic pricing model (HPM) and quantile regression (QR) analysis. The central problem question of the study was addressing ho...     »