Agent-based modeling of high-rise building fires reveals self-rescue behaviors and better fire protection designs

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Lu, Peng;Zhang, Zhuo;Onyebuchi, Chiamaka Henrietta;Zheng, Lifan

通讯作者：

Zheng, LF

作者机构：

[Zheng, LF; Zheng, Lifan; Zhang, Zhuo; Onyebuchi, Chiamaka Henrietta; Lu, Peng] Cent South Univ, Dept Sociol, Changsha, Peoples R China.

[Lu, Peng] Cent South Univ, Dept Artificial Intelligence, Changsha, Peoples R China.

[Zheng, Lifan; Zhang, Zhuo; Onyebuchi, Chiamaka Henrietta; Lu, Peng] PKU WUHAN Inst Artificial Intelligence, Wuhan 430073, Peoples R China.

[Lu, Peng] Zhejiang Lab, Intelligent Social Governance Ctr, Hangzhou, Peoples R China.

[Zheng, Lifan; Lu, Peng] Changsha Univ Sci & Technol, Sch Econ & Management, Hunan, Peoples R China.

通讯机构：

[Zheng, LF ] C

Cent South Univ, Dept Sociol, Changsha, Peoples R China.

语种：

英文

关键词：

Crowd dynamics;High-rise building fires;Social force model;Self-rescue behaviors

期刊：

Engineering Applications of Artificial Intelligence

ISSN：

0952-1976

年：

2024

卷：

127

页码：

107401

DOI：

10.1016/j.engappai.2023.107401

基金类别：

CRediT authorship contribution statement Peng Lu: Conceptualization, Formal analysis, Writing – original draft. Zhuo Zhang: Data curation, Investigation, Validation. Chiamaka Henrietta Onyebuchi: Methodology. Lifan Zheng: Visualization, Software, Supervision, acquisition.

机构署名：

本校为其他机构

院系归属：

经济与管理学院

摘要：

It is always challenging to seek external rescue assistance in high-rise building fires. Therefore, it is critical for individuals to master survival skills. For crowd dynamics modeling, previous research focused on numerical simulations and building designs with little attention to the self-rescue mechanism. It is critical to understanding crowd evacuations and better response strategies. We modeled the Grenfell Tower (a high-rise building with a complicated structure) case in 2017. Based on the percolation and social force models, we build an agent-based model to simulate individual behavior...

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Agent-based modeling of high-rise building fires reveals self-rescue behaviors and better fire protection designs

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