Green Mitigation of Passenger-Compartment Noise in Operating Urban Rail Transit: Synergistic Benefits for Pollution and Carbon Reduction
Year: 2026
Type: article
Abstract: Noise mitigation on urban rail transit lines in service is often constrained by the need to maintain uninterrupted operation and avoid large-scale demolition or reconstruction. Using Kunming Metro Line 4 as an engineering case study, this study combined onboard field measurements with data-driven analysis to characterize passenger-compartment noise and identify its principal determinants. A green noise-mitigation framework integrating source control, transmission-path control, and green operational management was developed, and its benefits were quantified across four dimensions: acoustic-environment improvement, human-health protection, low-carbon energy savings, and enhanced operation and maintenance efficiency. Passenger-compartment noise levels predominantly ranged from 78 to 82 dB(A). SHapley Additive exPlanations (SHAP) analysis identified train operating speed and track gradient as the two dominant factors, with relative importance values of 35.03% and 27.56%, respectively. Engineering implementation of the framework reduced peak noise levels in curved sections by 3–8 dB(A). The results further showed that noise-pollution mitigation and carbon-emission reduction share common sources and intervention pathways. The scenario-based assessment indicated that, under the specified parameter assumptions, the relevant measures could collectively achieve an estimated annual carbon emission reduction of approximately 3353.20 tCO2. These findings provide a practical and scientific basis for green noise mitigation and coordinated pollution and carbon reduction on urban rail transit lines in service.
Source: Sustainability
DOI: 10.3390/su18178706
Authors: Weiwei Yang, Daiming Xu, Min Zhu, Jing He
Institution: Kunming University of Science and Technology
Language: English
Topic: Noise Effects and Management
Subfield: Speech and Hearing
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,896
Award: G4203701099
OpenAlex ID: W7204216380
