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

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 (NC...

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Main Authors: Siting Chen, Bingjie Yu, Guang Shi, Yiping Cai, Yanyu Wang, Pingge He
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Land
Subjects:
Online Access:https://www.mdpi.com/2073-445X/14/3/476
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author Siting Chen
Bingjie Yu
Guang Shi
Yiping Cai
Yanyu Wang
Pingge He
author_facet Siting Chen
Bingjie Yu
Guang Shi
Yiping Cai
Yanyu Wang
Pingge He
author_sort Siting Chen
collection DOAJ
description 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.
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spelling doaj-art-17d25db4a0184eebb6fe8affbfd993902025-08-20T02:42:32ZengMDPI AGLand2073-445X2025-02-0114347610.3390/land14030476Scale-Dependent Relationships Between Urban Morphology and Noise Perception: A Multi-Scale Spatiotemporal Analysis in New York CitySiting Chen0Bingjie Yu1Guang Shi2Yiping Cai3Yanyu Wang4Pingge He5School of Architecture, Southwest Jiaotong University, Chengdu 611756, ChinaSchool of Architecture, Southwest Jiaotong University, Chengdu 611756, ChinaSchool of Architecture, Southwest Jiaotong University, Chengdu 611756, ChinaSchool of Public Administration, Southwest Jiaotong University, Chengdu 611756, ChinaSchool of Architecture, Southwest Jiaotong University, Chengdu 611756, ChinaSchool of Architecture, Southwest Jiaotong University, Chengdu 611756, ChinaUrban 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.https://www.mdpi.com/2073-445X/14/3/476urban morphologynoise complaintscale effectspatiotemporal analysismulti-scale analysis
spellingShingle Siting Chen
Bingjie Yu
Guang Shi
Yiping Cai
Yanyu Wang
Pingge He
Scale-Dependent Relationships Between Urban Morphology and Noise Perception: A Multi-Scale Spatiotemporal Analysis in New York City
Land
urban morphology
noise complaint
scale effect
spatiotemporal analysis
multi-scale analysis
title Scale-Dependent Relationships Between Urban Morphology and Noise Perception: A Multi-Scale Spatiotemporal Analysis in New York City
title_full Scale-Dependent Relationships Between Urban Morphology and Noise Perception: A Multi-Scale Spatiotemporal Analysis in New York City
title_fullStr Scale-Dependent Relationships Between Urban Morphology and Noise Perception: A Multi-Scale Spatiotemporal Analysis in New York City
title_full_unstemmed Scale-Dependent Relationships Between Urban Morphology and Noise Perception: A Multi-Scale Spatiotemporal Analysis in New York City
title_short Scale-Dependent Relationships Between Urban Morphology and Noise Perception: A Multi-Scale Spatiotemporal Analysis in New York City
title_sort scale dependent relationships between urban morphology and noise perception a multi scale spatiotemporal analysis in new york city
topic urban morphology
noise complaint
scale effect
spatiotemporal analysis
multi-scale analysis
url https://www.mdpi.com/2073-445X/14/3/476
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