Evidence map›Paper›PMID 39820238›Full record

ArticleScientific data2025

A platform noise dataset of various types of subway stations during all operating hours.

Bowen Hou, Xingyu Chen, Qine Zeng, Jinhan Mo, Lang Wang, Kaiyue Hu, Jiangbin Li, Wenqiang Zhao

Abstract read
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Bowen HouCollege of Civil and Architectural Engineering, Beijing Jiaotong University, Beijing, 100044, China. houbw@bjtu.edu.cn.
Xingyu ChenCollege of Civil and Architectural Engineering, Beijing Jiaotong University, Beijing, 100044, China.
Qine ZengInstitute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing, 100054, China.
Jinhan MoCollege of Civil and Transportation Engineering, Shenzhen University, Shenzhen, 518060, China.ORCID http://orcid.org/0000-0002-3178-6507
Lang WangCollege of Civil and Architectural Engineering, Beijing Jiaotong University, Beijing, 100044, China.
Kaiyue HuCollege of Civil and Architectural Engineering, Beijing Jiaotong University, Beijing, 100044, China.
Jiangbin LiCollege of Civil and Architectural Engineering, Beijing Jiaotong University, Beijing, 100044, China.
Wenqiang ZhaoZheJiang Communications Investment Group Co., Ltd., ITS Branch, Hangzhou, 310000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The subjective perceptions of passengers are intricately linked to the noise levels in subway stations of urban rail transit systems. In this study, comprehensive measurement was conducted on the noise environment on the platforms during operational hours at four distinct types of subway stations within an urban metro network. To ensure precise data collection, four different noise and sound pressure measurement points were strategically positioned in the middle and at both ends of each station platform. Subsequently, the platform noise data was continuously monitored throughout the operation period, yielding a time series of original data on sound pressure levels for standardized continuous measurement of the platform. The collected results spanning the entire operation period were organized into hourly sets, encompassing information on noise sources such as vehicles entering and leaving the station, the opening and closing of train doors, and platform announcements. This dataset provides original data on noise sources at subway platforms throughout the all-day train operation period, aiding researchers in understanding the sources and levels of noise at subway station platforms. Additionally, this research supports noise control on subway platforms and provides a scientific basis for predicting the acoustic environment of rail transit stations and improving the platform acoustic environment.

Identifiers

PMID39820238
PMCPMC11739378

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.