Evidence map›Paper›PMID 41102376›Full record

ArticleScientific reports2025

Influence of types of railway traffic on ground borne vibration towards vibration threshold limit.

Mazlan Rafidah, Mohd Khairul Afzan Mohd Lazi, Sitti Asmah Hassan, Khairul Hazman Padil, Norliana Sulaiman, Muhammad Rizal Razman

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mazlan RafidahDepartment of Geotechnics and Transportation, Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia.
Mohd Khairul Afzan Mohd LaziDepartment of Geotechnics and Transportation, Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia. mohdkhairulafzan@utm.my.
Sitti Asmah HassanDepartment of Geotechnics and Transportation, Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia.
Khairul Hazman PadilForensic Engineering Centre, Institute for Smart Infrastructure and Innovative Construction, Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia.
Norliana SulaimanFaculty of Civil Engineering, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia.
Muhammad Rizal RazmanResearch Centre for Sustainability Science and Governance (SGK), Institute for Environment and Development (LESTARI), Universiti Kebangsaan Malaysia, 43600, UKM Bangi, Selangor, Malaysia. mrizal@ukm.edu.my.

Funding

Ministry of Higher Education Malaysia FRGS/1/2023/TK02/UTM/02/4Universiti Kebangsaan Malaysia TAP-K012091
6 · The paper itself

Abstract

Ground-borne vibration (GBV) presents critical challenges in urban environments when levels exceed residential thresholds. This study investigates the influence of train type, speed, distance, soil conditions, coach length, and ballast and embankment height on GBV. Findings reveal that high-speed trains operating at 80–160 km/h generated the highest PPVs, with most values surpassing the 0.8 mm/s DOE guideline even at 7 m. Commuter trains exhibited intermediate vibration levels, whereas LRT systems produced the lowest PPVs, largely within perceptibility limits. Vibrations attenuated with distance but were amplified in soft soils. The CART regression model identified train speed (100%) and distance (79.7%) as the dominant predictors, with strong predictive accuracy (R2 = 97.94% training; 97.75% testing). These results emphasise the need for effective GBV management strategies in dense urban settings.

Indexed as

GBVPPVRailway trafficThreshold limit

Identifiers

PMID41102376
PMCPMC12533220

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.