Assessing Physiological Loads during Passenger Entry and Exit at the Railway Station: An Experimental Analysis

This study focuses on the often-neglected aspect of physiological load on passengers at high-speed railway stations, characterized by their large footprints and complex layouts, which contribute to physical fatigue and discomfort. We propose a generic framework for assessing physiological loads experienced by passengers during entry and exit, incorporating the estimation of physiological indicators, design of experimental programs, and analytical techniques. The results indicate that initial physiological state, walking distance and baggage load have a significant effect on physiological load. Interaction analysis further reveals that fatigue and heavy baggage significantly amplify the energy burden of long walking distances. Elderly participants exhibit greater sensitivity, with higher energy expenditure under fatigued or loaded conditions. In contrast, gender shows no significant effect, and body weight has a moderate influence, primarily among heavier individuals. The study also identifies six factor combinations that lead to high energy expenditure rates when present simultaneously. Furthermore, we identify ideal walking ranges and thresholds for passengers with varying travel activity characteristics, particularly benefiting elderly individuals. These insights provide empirical data and policy recommendations for designing station layouts that consider the physiological loads of traveling, aiming to enhance passenger comfort and station efficiency.

Authors

Institutions

Publication Details

Journal
Journal of Transportation Engineering Part A Systems
Published
2025-11-28
DOI
https://doi.org/10.1061/jtepbs.teeng-9280
Primary Topic
Ergonomics and Musculoskeletal Disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing Physiological Loads during Passenger Entry and Exit at the Railway Station: An Experimental Analysis

Jing Teng, Zhixia He, Zhe Ding, Chao Duan et al.
Journal of Transportation Engineering Part A Systems
Ergonomics and Musculoskeletal Disorders
article

Assessing Physiological Loads during Passenger Entry and Exit at the Railway Station: An Experimental Analysis

Jing Teng, Zhixia He, Zhe Ding, Chao Duan, Enhui Chen, Yang Limin
article en

Abstract

This study focuses on the often-neglected aspect of physiological load on passengers at high-speed railway stations, characterized by their large footprints and complex layouts, which contribute to physical fatigue and discomfort. We propose a generic framework for assessing physiological loads experienced by passengers during entry and exit, incorporating the estimation of physiological indicators, design of experimental programs, and analytical techniques. The results indicate that initial physiological state, walking distance and baggage load have a significant effect on physiological load. Interaction analysis further reveals that fatigue and heavy baggage significantly amplify the energy burden of long walking distances. Elderly participants exhibit greater sensitivity, with higher energy expenditure under fatigued or loaded conditions. In contrast, gender shows no significant effect, and body weight has a moderate influence, primarily among heavier individuals. The study also identifies six factor combinations that lead to high energy expenditure rates when present simultaneously. Furthermore, we identify ideal walking ranges and thresholds for passengers with varying travel activity characteristics, particularly benefiting elderly individuals. These insights provide empirical data and policy recommendations for designing station layouts that consider the physiological loads of traveling, aiming to enhance passenger comfort and station efficiency.

Journal of Transportation Engineering Part A SystemsVol. 152(2)
Tongji University (CN), China Railway Shanghai Design Institute Group (China) (CN)
Openalex Percentile: Top 58%
Ergonomics and Musculoskeletal Disorders
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.