Mechanisms and Control of Infrastructure-Related Interior Noise in Suburban Railways: A Zhejiang Case Study

Abstract Excessive interior noise in tunnel segments of a 120 km/h suburban railway prompted a combined field-measurement and modelling investigation. Interior and exterior noise tests of the train of the infrastructure were conducted both in tunnels and on open-track sections. The dominant sound sources were identified and their spectral characteristics analyzed. A Statistical Energy Analysis (SEA) model was developed to evaluate noise-control strategies targeting vehicle interior components. The results show that, in the high-speed suburban railway, tunnel reverberation selectively amplifies acoustic energy in the 200–1000 Hz band, making this range the principal contributor to excessive interior noise. Sound source identification reveals that, in tunnels, the passenger side door is the primary transmission path, followed by the floor. A sensitivity analysis with ±3 dB variations in the sound insulation of the side door and floor indicates that a 1 dB improvement in side-door sound insulation reduces interior noise by approximately 0.3 dB(A), compared with 0.1 dB(A) for the floor. These findings suggest that prioritizing side-door sound insulation enhancement, together with vibration-mitigation measures in the bogie region, constitutes an effective strategy for controlling interior noise under tunnel operating conditions.

Authors

Institutions

Publication Details

Journal
Urban Rail Transit
Published
2026-11-03
DOI
https://doi.org/10.1007/s40864-026-00290-y
Primary Topic
Railway Engineering and Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mechanisms and Control of Infrastructure-Related Interior Noise in Suburban Railways: A Zhejiang Case Study

Wenqiang Zhao, Bowen Hou, Qirui Wu, João Pombo et al.
Urban Rail Transit
Railway Engineering and Dynamics
article

Mechanisms and Control of Infrastructure-Related Interior Noise in Suburban Railways: A Zhejiang Case Study

Wenqiang Zhao, Bowen Hou, Qirui Wu, João Pombo, Jianhua Zhu
article en

Abstract

Abstract Excessive interior noise in tunnel segments of a 120 km/h suburban railway prompted a combined field-measurement and modelling investigation. Interior and exterior noise tests of the train of the infrastructure were conducted both in tunnels and on open-track sections. The dominant sound sources were identified and their spectral characteristics analyzed. A Statistical Energy Analysis (SEA) model was developed to evaluate noise-control strategies targeting vehicle interior components. The results show that, in the high-speed suburban railway, tunnel reverberation selectively amplifies acoustic energy in the 200–1000 Hz band, making this range the principal contributor to excessive interior noise. Sound source identification reveals that, in tunnels, the passenger side door is the primary transmission path, followed by the floor. A sensitivity analysis with ±3 dB variations in the sound insulation of the side door and floor indicates that a 1 dB improvement in side-door sound insulation reduces interior noise by approximately 0.3 dB(A), compared with 0.1 dB(A) for the floor. These findings suggest that prioritizing side-door sound insulation enhancement, together with vibration-mitigation measures in the bogie region, constitutes an effective strategy for controlling interior noise under tunnel operating conditions.

Urban Rail Transit
University of Huddersfield (GB), Beijing Jiaotong University (CN), China Railway Corporation (CN), General Administration of Quality Supervision, Inspection and Quarantine (CN), China Communications Construction Company (China) (CN), Southwest Jiaotong University (CN)
Openalex Percentile: Top 24%
Railway Engineering and Dynamics
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.

Laika access coming soon
Mechanisms and Control of Infrastructure-Related Interior Noise in Suburban Railways: A Zhejiang Case Study — Wenqiang Zhao, Bowen Hou, et al. · Urban Rail Transit (2026) | TGRS Research Map | TGRS