Fault tree analysis for subway fire evacuation with agent-based modeling

Abstract In the process of the continuous development of subway construction, the safe evacuation of subway passengers has been paid much attention to. As the subway itself has the characteristics of limited space and high passenger density, once a fire emergency occurs, it can cause huge losses onl...

Full description

Bibliographic Details
Main Authors: Yaning Qiao, Yikai Weng, Xiaobo Shi, Zongyou Zhu, Changyun Li, Xumiao Zhang, Jiankun Liu
Format: Article
Language:English
Published: SpringerOpen 2023-02-01
Series:Journal of Infrastructure Preservation and Resilience
Subjects:
Online Access:https://doi.org/10.1186/s43065-023-00073-w
_version_ 1797865289101082624
author Yaning Qiao
Yikai Weng
Xiaobo Shi
Zongyou Zhu
Changyun Li
Xumiao Zhang
Jiankun Liu
author_facet Yaning Qiao
Yikai Weng
Xiaobo Shi
Zongyou Zhu
Changyun Li
Xumiao Zhang
Jiankun Liu
author_sort Yaning Qiao
collection DOAJ
description Abstract In the process of the continuous development of subway construction, the safe evacuation of subway passengers has been paid much attention to. As the subway itself has the characteristics of limited space and high passenger density, once a fire emergency occurs, it can cause huge losses only by passive rescue. Therefore, it is important to actively plan for evacuation to reduce life and property losses due to fires in subways. This study aims to develop a fault tree analysis method for identifying scenarios that lead to evacuation failure in subways due to impassability incurred by fires. First, a virtual evacuation model is established using an agent modeling technique, with collected passenger characteristics to calibrate local evacuation behaviors. Then, fire impassability scenarios (e.g. fire(s) in the escalator(s), in emergency stairs, or the combination) are evaluated using the established agent model. Eventually, a fault tree analysis is constructed to identify scenarios that lead to evacuation failures. The research results show that the passability of escalator(s) is critical for subway fire resilience. It is important to use stationary escalator(s) as evacuation pathways for more evacuation capacity. Fire risk management around escalator(s) should be stricter. Passengers and staff are advised to learn how to stop a running escalator to avoid evacuation failures.
first_indexed 2024-04-09T23:06:15Z
format Article
id doaj.art-7007fc1b34a447eba34755265ccb3dcb
institution Directory Open Access Journal
issn 2662-2521
language English
last_indexed 2024-04-09T23:06:15Z
publishDate 2023-02-01
publisher SpringerOpen
record_format Article
series Journal of Infrastructure Preservation and Resilience
spelling doaj.art-7007fc1b34a447eba34755265ccb3dcb2023-03-22T10:42:22ZengSpringerOpenJournal of Infrastructure Preservation and Resilience2662-25212023-02-014111210.1186/s43065-023-00073-wFault tree analysis for subway fire evacuation with agent-based modelingYaning Qiao0Yikai Weng1Xiaobo Shi2Zongyou Zhu3Changyun Li4Xumiao Zhang5Jiankun Liu6School of Mechanics and Civil Engineering, China University of Mining and TechnologySchool of Mechanics and Civil Engineering, China University of Mining and TechnologySchool of Mechanics and Civil Engineering, China University of Mining and TechnologySchool of Mechanics and Civil Engineering, China University of Mining and TechnologySchool of Management and Engineering, Nanjing UniversitySchool of Civil Engineering, Harbin Institute of TechnologySchool of Civil Engineering, Sun Yat-sen UniversityAbstract In the process of the continuous development of subway construction, the safe evacuation of subway passengers has been paid much attention to. As the subway itself has the characteristics of limited space and high passenger density, once a fire emergency occurs, it can cause huge losses only by passive rescue. Therefore, it is important to actively plan for evacuation to reduce life and property losses due to fires in subways. This study aims to develop a fault tree analysis method for identifying scenarios that lead to evacuation failure in subways due to impassability incurred by fires. First, a virtual evacuation model is established using an agent modeling technique, with collected passenger characteristics to calibrate local evacuation behaviors. Then, fire impassability scenarios (e.g. fire(s) in the escalator(s), in emergency stairs, or the combination) are evaluated using the established agent model. Eventually, a fault tree analysis is constructed to identify scenarios that lead to evacuation failures. The research results show that the passability of escalator(s) is critical for subway fire resilience. It is important to use stationary escalator(s) as evacuation pathways for more evacuation capacity. Fire risk management around escalator(s) should be stricter. Passengers and staff are advised to learn how to stop a running escalator to avoid evacuation failures.https://doi.org/10.1186/s43065-023-00073-wSubwayEvacuationFireRiskEmergencyResilience
spellingShingle Yaning Qiao
Yikai Weng
Xiaobo Shi
Zongyou Zhu
Changyun Li
Xumiao Zhang
Jiankun Liu
Fault tree analysis for subway fire evacuation with agent-based modeling
Journal of Infrastructure Preservation and Resilience
Subway
Evacuation
Fire
Risk
Emergency
Resilience
title Fault tree analysis for subway fire evacuation with agent-based modeling
title_full Fault tree analysis for subway fire evacuation with agent-based modeling
title_fullStr Fault tree analysis for subway fire evacuation with agent-based modeling
title_full_unstemmed Fault tree analysis for subway fire evacuation with agent-based modeling
title_short Fault tree analysis for subway fire evacuation with agent-based modeling
title_sort fault tree analysis for subway fire evacuation with agent based modeling
topic Subway
Evacuation
Fire
Risk
Emergency
Resilience
url https://doi.org/10.1186/s43065-023-00073-w
work_keys_str_mv AT yaningqiao faulttreeanalysisforsubwayfireevacuationwithagentbasedmodeling
AT yikaiweng faulttreeanalysisforsubwayfireevacuationwithagentbasedmodeling
AT xiaoboshi faulttreeanalysisforsubwayfireevacuationwithagentbasedmodeling
AT zongyouzhu faulttreeanalysisforsubwayfireevacuationwithagentbasedmodeling
AT changyunli faulttreeanalysisforsubwayfireevacuationwithagentbasedmodeling
AT xumiaozhang faulttreeanalysisforsubwayfireevacuationwithagentbasedmodeling
AT jiankunliu faulttreeanalysisforsubwayfireevacuationwithagentbasedmodeling