Skip to main navigation Skip to search Skip to main content

Characteristics of noise complaints and the associations with urban morphology: A comparison across densities

  • Huan Tong
  • , Jian Kang*
  • *Corresponding author for this work
  • University College London

Research output: Contribution to journalArticlepeer-review

Abstract

This study aimed to characterise spatial-temporal distribution of noise complaints across urban areas with different densities and to analyse the associations between urban morphology and noise complaints. Taking New York City as the study area, crowdsourced noise complaints and urban morphology datasets from the city government's open data source were statistically analysed. The results suggest that between boroughs the characteristics of noise complaints are different, in terms of their spatial-temporal distribution, their relation to transport network, land use, and building morphology. Noise complaints were clustered around the highest density area (Manhattan). The rate of noise complaints showed a year-on-year increase, peaking in autumn and spring. The rate of noise complaints is higher in areas with higher densities and roads that are 20-40 m wide, closer to road crossings, and in enclosed blocks. The relationships between noise complaints and urban morphology are weaker in high-density boroughs than in other boroughs.

Original languageEnglish
Article number111045
JournalEnvironmental Research
Volume197
DOIs
StatePublished - Jun 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  2. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • Noise complaints
  • Noise pollution
  • Urban density
  • Urban morphology

Fingerprint

Dive into the research topics of 'Characteristics of noise complaints and the associations with urban morphology: A comparison across densities'. Together they form a unique fingerprint.

Cite this