Issue |
E3S Web Conf.
Volume 253, 2021
2021 International Conference on Environmental and Engineering Management (EEM 2021)
|
|
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Article Number | 01063 | |
Number of page(s) | 5 | |
Section | Intelligent Environmental Monitoring and Quality Technology Assessment | |
DOI | https://doi.org/10.1051/e3sconf/202125301063 | |
Published online | 06 May 2021 |
Analysis and Research on Causes of Metro Accidents Based on 24 Model
1 Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Province
2 College of Engineering Zhejiang Normal University Jinhua, China
3 Institute of Computing Technologies China Academic of Railway Sciences Corporation Limited Beijing, China
a Corresponding author: tangxiaoxiao@zjnu.edu.cn
b Corresponding author: Echoli@zjnu.edu.cn
c Corresponding author: zjnulilei@163.com
In order to strengthen the operational safety of the metro system, a 24 model is proposed for metro accident in this study, which is conducive to scientifically and efficiently carrying out metro accident analysis and targeted preventive measures. Referring to the 24 model, the elements that threaten the safety of metro operations are classified, and then performed in individual-level and organizational-level causal analysis one by one on “Shanghai Metro 9·27 Accident”, including unsafe human behavior, unsafe material condition, safety knowledge, safety awareness, safety management system, safety culture. The analysis results indicate that the various cause modules defined by the 24 model accomplish metro accident analysis systematically and accident prevention should start from identifying the unsafe material conditions, controlling the unsafe human behaviors, learning safety knowledge, cultivating safety consciousness, perfecting safety management system and so on.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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