Scale-Dependent Relationships Between Urban Morphology and Noise Perception: A Multi-Scale Spatiotemporal Analysis in New York City

Siting Chen, Bingjie Yu (), Guang Shi, Yiping Cai, Yanyu Wang and Pingge He ()
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Siting Chen: School of Architecture, Southwest Jiaotong University, Chengdu 611756, China
Bingjie Yu: School of Architecture, Southwest Jiaotong University, Chengdu 611756, China
Guang Shi: School of Architecture, Southwest Jiaotong University, Chengdu 611756, China
Yiping Cai: School of Public Administration, Southwest Jiaotong University, Chengdu 611756, China
Yanyu Wang: School of Architecture, Southwest Jiaotong University, Chengdu 611756, China
Pingge He: School of Architecture, Southwest Jiaotong University, Chengdu 611756, China

Land, 2025, vol. 14, issue 3, 1-32

Abstract: Urban morphology significantly influences residents’ noise perceptions, yet the impact across different spatial and temporal scales remains unclear. This study investigates the scale-dependent relationship between urban morphology and noise perception in New York City using noise complaint rates (NCR) as a proxy for perceived noise levels. A multi-scale analysis framework was applied, including four spatial scales (100 m, 200 m, 500 m, and 1000 m) and three temporal classifications (daytime/nighttime/dawn, weekdays/weekends, and seasonal divisions). Statistical analyses, including Spearman correlation, Moran’s I test, and Geographically Weighted Regression (GWR), examined spatiotemporal heterogeneity. Results show: (1) NCR and urban morphology indicators vary significantly across spatial and temporal aggregations. (2) Correlations between NCR and urban morphology indicators generally strengthen with larger spatial units, revealing a scale effect. Temporal variations, e.g., residential land ratio (RES) and greenery percentage (SVI Green), show stronger correlations with NCR in summer than in winter. (3) The Moran’s I index revealed significant spatial clustering at the 1000 m scale. Multi-temporal GWR analysis revealed spatial variations in urban morphology-noise relationships across different temporal contexts; in residential areas, building density exacerbates complaints more during non-working periods than during working hours. This study enhances understanding of urban sound environments, offering insights required for more precise urban planning policies.

Keywords: urban morphology; noise complaint; scale effect; spatiotemporal analysis; multi-scale analysis (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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