Modeling of train-induced environmental vibrations from railway traffic: a state-of-the-art review

Abstract The growing demand for sustainable transport has led to increasing interest in developing rail transit networks for both intra-city and inter-city travel. However, train-induced vibrations may cause significant negative environmental impacts on nearby buildings, sensitive equipment, and residents, thereby garnering considerable attention from researchers and engineers. An efficient prediction model is essential for assessing train-induced vibrations and for designing appropriate vibration mitigation measures. The complex dynamics of the train, track, infrastructure, soils, and buildings, along with their interactions, make the modeling of train-induced environmental vibrations a challenging task. This paper provides a comprehensive review of the current state-of-the-art methods for modeling train-induced vibrations from surface and underground railway traffic. It begins by addressing wave propagation in natural soils, followed by an in-depth examination of analytical, numerical, and empirical approaches for predicting train-induced vibrations in the ground and buildings. Finally, this paper identifies unresolved issues in the field and outlines areas that require further investigation.

Authors

Institutions

Publication Details

Journal
Railway Engineering Science
Published
2026-01-14
DOI
https://doi.org/10.1007/s40534-025-00406-3
Citations
1
Primary Topic
Railway Engineering and Dynamics
Type
article
Field-Weighted Citation Impact
19.05

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling of train-induced environmental vibrations from railway traffic: a state-of-the-art review

X. L. Zhang, Honggui Di, Shunhua Zhou, Chao He et al.
1 citations
Railway Engineering Science
Railway Engineering and Dynamics
19.05
article

Modeling of train-induced environmental vibrations from railway traffic: a state-of-the-art review

X. L. Zhang, Honggui Di, Shunhua Zhou, Chao He, Yanrui Liu
article en
1 citations

Abstract

Abstract The growing demand for sustainable transport has led to increasing interest in developing rail transit networks for both intra-city and inter-city travel. However, train-induced vibrations may cause significant negative environmental impacts on nearby buildings, sensitive equipment, and residents, thereby garnering considerable attention from researchers and engineers. An efficient prediction model is essential for assessing train-induced vibrations and for designing appropriate vibration mitigation measures. The complex dynamics of the train, track, infrastructure, soils, and buildings, along with their interactions, make the modeling of train-induced environmental vibrations a challenging task. This paper provides a comprehensive review of the current state-of-the-art methods for modeling train-induced vibrations from surface and underground railway traffic. It begins by addressing wave propagation in natural soils, followed by an in-depth examination of analytical, numerical, and empirical approaches for predicting train-induced vibrations in the ground and buildings. Finally, this paper identifies unresolved issues in the field and outlines areas that require further investigation.

Railway Engineering Science
Tongji University (CN)
National Natural Science Foundation of China
Industry, innovation and infrastructure
Openalex Percentile: Top 3%
Railway Engineering and Dynamics
19.05
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.

Modeling of train-induced environmental vibrations from railway traffic: a state-of-the-art review — X. L. Zhang, Honggui Di, et al. · Railway Engineering Science (2026) | TGRS Research Map | TGRS