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

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.

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Publication Details

Journal
Scientific Data
Published
2025-01-16
DOI
https://doi.org/10.1038/s41597-025-04425-x
Citations
2
Primary Topic
Noise Effects and Management
Type
article
Field-Weighted Citation Impact
6.24

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article

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

Kai Hu, Qine Zeng, Bowen Hou, Jiangbin Li et al.
2 citations
Scientific Data
Noise Effects and Management
6.24
article

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

Kai Hu, Qine Zeng, Bowen Hou, Jiangbin Li, Wenqiang Zhao, Jinhan Mo, Xingyu Chen, Lang Wang
article en
2 citations

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.

Scientific DataVol. 12(1)
Shenzhen University (CN), Beijing Jiaotong University (CN), Beijing Academy of Science and Technology (CN)
China Railway, National Natural Science Foundation of China, Beijing Jiaotong University
Openalex Percentile: Top 6%
Noise Effects and Management
6.24
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