全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

考虑救援行为的地铁火灾行人疏散建模与模拟
Pedestrian Evacuation Modeling and Simulation in Subway Fires Considering Rescue Behaviors

DOI: 10.12677/jsst.2024.124004, PP. 23-33

Keywords: 地铁火灾,AnyLogic,救援行为,疏散效率
Subway Fire
, AnyLogic, Rescue Behavior, Evacuation Efficiency

Full-Text   Cite this paper   Add to My Lib

Abstract:

地铁站火灾疏散在现代城市安全中具有重要意义,在当前火灾风险频发、公共安全需求日益提升的背景下,有效的救援行为能够更好地保障人员安全,减少火灾事故带来的伤亡风险。文章基于AnyLogic仿真平台,以太原市辑虎营地铁站为研究对象,考虑了火灾蔓延情况、乘客行为状态转变以及消防员救援行为,构建了含消防员救援行为的火灾场景下行人疏散模型。数值模拟研究了消防员救援时间与救援人数以及火灾蔓延速度与不同火灾源对疏散效率的影响,揭示了火灾环境下行人和消防员的动态行为特征。结果表明,在火灾烟气蔓延速度为0.15 m/s的情况下,消防员在火灾发生后50秒内到达的救援点效率最高,且当救援人数达到12名时,疏散速率显著提高。此外,分区策略有效地提升了疏散速率,通过合理分配消防员到不同区域进行救援,进一步加快了疏散过程,提高了整体救援效率。文章研究结果为地铁火灾应急预案和疏散设计提供了理论指导。
Subway fire evacuation plays a critical role in modern urban safety. For the increasing frequency of fire risks and growing demands for public safety, effective rescue actions can better ensure personnel safety and reduce the risk of casualties caused by fire accidents. This study is based on the AnyLogic simulation platform and takes the Jihuying subway station in Taiyuan as a case study. Considering the spread of fire, the change in passenger behavior, and the rescue behavior of firefighters, a pedestrian evacuation model under fire that includes firefighters’ rescue behavior is constructed. Numerical simulations are conducted to investigate the impact of firefighters’ rescue time and number of rescues, as well as the speed of fire spread and different fire sources on evacuation, revealing the dynamic behavioral characteristics of pedestrians and firefighters in fire environments. Results indicate that, with a smoke spread rate of 0.15 m/s, firefighters arriving at rescue points within 50 seconds of the fire’s onset achieve the highest efficiency, and the evacuation rate increases significantly when the number of rescues reaches 12. In addition, the zoning strategy can effectively improve evacuation efficiency by strategically allocating firefighters to different areas for rescue, thereby accelerating the evacuation process and enhancing overall rescue efficiency. The research results will provide theoretical guidance for emergency response plans and evacuation design for subway fires.

References

[1]  中华人民共和国交通运输部. 2024年1-8月全国城市客运量[EB/OL].
https://xxgk.mot.gov.cn/2020/jigou/zhghs/202409/t20240929_4157180.html, 2024-09-29.
[2]  Helbing, D., Farkas, I. and Vicsek, T. (2000) Simulating Dynamical Features of Escape Panic. Nature, 407, 487-490.
https://doi.org/10.1038/35035023
[3]  Pan, X., Han, C.S., Dauber, K. and Law, K.H. (2007) A Multi-Agent Based Framework for the Simulation of Human and Social Behaviors during Emergency Evacuations. AI & SOCIETY, 22, 113-132.
https://doi.org/10.1007/s00146-007-0126-1
[4]  Smith, S. and Ericson, E. (2009) Using Immersive Game-Based Virtual Reality to Teach Fire-Safety Skills to Children. Virtual Reality, 13, 87-99.
https://doi.org/10.1007/s10055-009-0113-6
[5]  Zheng, X., Zhong, T. and Liu, M. (2009) Modeling Crowd Evacuation of a Building Based on Seven Methodological Approaches. Building and Environment, 44, 437-445.
https://doi.org/10.1016/j.buildenv.2008.04.002
[6]  Benseghir, H., Ibrahim, A.B., Nurul Islam Siddique, M., Nomani Kabir, M. and Alginahi, Y.M. (2021) Modelling Emergency Evacuation from an Industrial Building under Spreading Fire Using a Social Force Model with Fire Dynamics. Materials Today: Proceedings, 41, 38-42.
https://doi.org/10.1016/j.matpr.2020.10.999
[7]  Zhang, J., Zhu, J., Dang, P., Wu, J., Zhou, Y., Li, W., et al. (2023) An Improved Social Force Model (ISFM)-Based Crowd Evacuation Simulation Method in Virtual Reality with a Subway Fire as a Case Study. International Journal of Digital Earth, 16, 1186-1204.
https://doi.org/10.1080/17538947.2023.2197261
[8]  Yang, X., Dong, H., Yao, X. and Sun, X. (2016) Pedestrian Evacuation at the Subway Station under Fire. Chinese Physics B, 25, Article 048902.
https://doi.org/10.1088/1674-1056/25/4/048902
[9]  张雪. 地铁车站火灾时人员行为特征及应急疏散仿真研究[D]: [硕士学位论文]. 大连: 大连交通大学, 2023.
[10]  Yu, R., Mao, Q. and Lv, J. (2022) An Extended Model for Crowd Evacuation Considering Rescue Behavior. Physica A: Statistical Mechanics and Its Applications, 605, Article 127989.
https://doi.org/10.1016/j.physa.2022.127989
[11]  陈雷钰, 张汝华, 马明迪. 基于AnyLogic的轨道交通车站大客流瓶颈识别与疏散组织优化[J]. 上海大学学报(自然科学版), 2023, 29(4): 694-704.
[12]  谢秉磊, 周立, 赵金秋. 恐慌情绪和疏散行为交互影响的地铁站火灾疏散仿真方法[J]. 中国安全生产科学技术, 2024, 20(3): 20-25.
[13]  邓社军, 虞宇浩, 张俊林, 等. 基于行人恐慌情绪解析的改进社会力模型[J]. 中国安全科学学报, 2024, 34(2): 45-52.
[14]  李芳. 基于多智能体的地铁站台乘客紧急疏散模型[D]: [硕士学位论文]. 北京: 北京交通大学, 2015.
[15]  陈艳红, 刘雯丽, 陈向东, 等. 基于AnyLogic的地铁应急疏散仿真研究[J]. 交通科技与管理, 2023, 4(20): 16-18.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133