A Study on the Exit Width of Typical High-Speed Railway Platforms to Reduce the Risk of Passengers Falling off

There are several accidents in China’s high-speed railways where passengers fall off the platform every year. In response to the risks of falling off high-speed railway platforms associated with passenger overcrowding, this study explores the platform exit width range in determining how to reduce the risk. In order to quantify the risk, we first define the risk probability to measure the likelihood of passengers falling off the platform. Then, we propose an integrated model that combines the passenger flow assignment with a dynamic calculation of passenger flow. This methodology addresses the passenger flow assignment through modeling passenger choices based on path utilities and determines an interpretable exit width range that ensures safe, non-congested evacuation within the designated timeframe. Empirical analysis reveals that the ranges of exit width and achieving different aims of risk probabilities are negatively correlated. The current exit width of 6 m on high-speed railway platforms is insufficient. Our results recommend expanding this width to between 6.43 and 7.01 m to facilitate more efficient passenger exits under normal operating conditions (risk probability of 10%). This adjustment potentially reduces the required investment in surveillance equipment by 77.7% and halves the monetary costs, thereby encouraging railway managers to implement these recommendations. Due to being restricted by a fixed platform width of 10 m, the limitation of optimizing the exit width aims to allow about 2770 passengers at most to leave the platform within the specified travel time.

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Publication Details

Journal
Applied Sciences
Published
2025-03-28
DOI
https://doi.org/10.3390/app15073726
Citations
1
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
1.15

Funders

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article

A Study on the Exit Width of Typical High-Speed Railway Platforms to Reduce the Risk of Passengers Falling off

Zhenzhong Guan, Fan Li, Zhifei Wang, Dongsheng Wang
1 citations
Applied Sciences
Evacuation and Crowd Dynamics
1.15
article

A Study on the Exit Width of Typical High-Speed Railway Platforms to Reduce the Risk of Passengers Falling off

Zhenzhong Guan, Fan Li, Zhifei Wang, Dongsheng Wang
article en
1 citations

Abstract

There are several accidents in China’s high-speed railways where passengers fall off the platform every year. In response to the risks of falling off high-speed railway platforms associated with passenger overcrowding, this study explores the platform exit width range in determining how to reduce the risk. In order to quantify the risk, we first define the risk probability to measure the likelihood of passengers falling off the platform. Then, we propose an integrated model that combines the passenger flow assignment with a dynamic calculation of passenger flow. This methodology addresses the passenger flow assignment through modeling passenger choices based on path utilities and determines an interpretable exit width range that ensures safe, non-congested evacuation within the designated timeframe. Empirical analysis reveals that the ranges of exit width and achieving different aims of risk probabilities are negatively correlated. The current exit width of 6 m on high-speed railway platforms is insufficient. Our results recommend expanding this width to between 6.43 and 7.01 m to facilitate more efficient passenger exits under normal operating conditions (risk probability of 10%). This adjustment potentially reduces the required investment in surveillance equipment by 77.7% and halves the monetary costs, thereby encouraging railway managers to implement these recommendations. Due to being restricted by a fixed platform width of 10 m, the limitation of optimizing the exit width aims to allow about 2770 passengers at most to leave the platform within the specified travel time.

Applied SciencesVol. 15(7)
China Academy of Railway Sciences (CN), Southwest Jiaotong University (CN), Tsinghua University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 25%
Evacuation and Crowd Dynamics
1.15
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