Environmental Noise in North Central Mumbai, India: Unravelling Human-Environmental Interactions

This study investigates traffic-related noise in residential zones within an educational institution in North Central Mumbai, India. It uses objective and subjective noise assessments to understand the relationship between objective noise levels, reported noise annoyance, and sensitivity. As there is limited research pertaining to the Indian context, this research study introduces a fresh perspective and seeks to contribute to a better comprehension of the impacts of noise pollution. Systematic noise monitoring was performed at designated sites (35), adhering to regulatory guidelines, and employing a tripod-mounted sound level meter. A well-structured questionnaire designed for community noise survey. The average noise levels in the residential community were 61.2 dB(A) during traffic non-rush hours. The study found that 33% of participants were highly annoyed by noise, with 18% being annoyed. Noise annoyance was influenced by objective noise levels, proximity to roads, and nearby parks or lakes. Among participants, 39% were highly noise-sensitive, with females and middle-aged residents being more sensitive. However, sensitivity had little impact on annoyance. The study suggests that noise management strategies should be incorporated into urban planning and educational institution policies, despite the presence of vegetation and noise barriers.

Institutions

Publication Details

Journal
Journal of Scientific & Industrial Research
Published
2025-04-01
DOI
https://doi.org/10.56042/jsir.v84i04.11625
Primary Topic
Noise Effects and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Environmental Noise in North Central Mumbai, India: Unravelling Human-Environmental Interactions

Journal of Scientific & Industrial Research
Noise Effects and Management
article

Environmental Noise in North Central Mumbai, India: Unravelling Human-Environmental Interactions

article en

Abstract

This study investigates traffic-related noise in residential zones within an educational institution in North Central Mumbai, India. It uses objective and subjective noise assessments to understand the relationship between objective noise levels, reported noise annoyance, and sensitivity. As there is limited research pertaining to the Indian context, this research study introduces a fresh perspective and seeks to contribute to a better comprehension of the impacts of noise pollution. Systematic noise monitoring was performed at designated sites (35), adhering to regulatory guidelines, and employing a tripod-mounted sound level meter. A well-structured questionnaire designed for community noise survey. The average noise levels in the residential community were 61.2 dB(A) during traffic non-rush hours. The study found that 33% of participants were highly annoyed by noise, with 18% being annoyed. Noise annoyance was influenced by objective noise levels, proximity to roads, and nearby parks or lakes. Among participants, 39% were highly noise-sensitive, with females and middle-aged residents being more sensitive. However, sensitivity had little impact on annoyance. The study suggests that noise management strategies should be incorporated into urban planning and educational institution policies, despite the presence of vegetation and noise barriers.

Journal of Scientific & Industrial ResearchVol. 84(4)
Indian Institute of Technology Bombay (IN)
Climate action
Openalex Percentile: Top 90%
Noise Effects and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.