Fire Safety and Emergency Evacuation

A special issue of Fire (ISSN 2571-6255).

Deadline for manuscript submissions: 31 March 2025 | Viewed by 684

Special Issue Editors


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Guest Editor
Institute for Disaster Management and Reconstruction, Sichuan University, Chengdu 610207, China
Interests: pedestrian traffic; evacuation dynamics; fire safety engineering; human behavior in emergency; disaster management

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Guest Editor
Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong
Interests: fire engineering approach; building evacuation modeling; human behavior in evacuation; pedestrian movement; fire risk assessment

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Guest Editor
Department of Fire Protection Engineering, Southwest Jiaotong University, Chengdu 610031, China
Interests: intelligent fire protection; tunnel fire; safety engineering; evacuation; emergency rescue technology
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Fire Protection Engineering, Southwest Jiaotong University, Chengdu 610031, China
Interests: fire dynamics; smoke control; fire simulation; fire safety design; tunnel fire

Special Issue Information

Dear Colleagues,

We are pleased to invite you to submit an article to this Special Issue, titled “Fire Safety and Emergency Evacuation”, which aims to gather groundbreaking research, innovative technologies, and insightful perspectives to enhance our understanding of fire science and improve emergency evacuation procedures. Given that fires pose significant threats to human lives, infrastructure, and the environment, recent incidents worldwide have highlighted the urgent need for comprehensive strategies and advancements in fire safety and emergency evacuation. As we witness the increasing frequency and severity of fire-related disasters, it becomes imperative for researchers, engineers, policymakers, and practitioners to collaborate and contribute their expertise to this pressing issue.

This Special Issue will therefore serve as a platform for the dissemination of cutting-edge research and knowledge in this field. We invite researchers from diverse disciplines, including (but not limited to) fire engineering, materials science, civil engineering, public policy, and psychology, to submit their original research articles, reviews, and case studies to this Special Issue.

Potential topics of interest include (but are not limited to) the following:

  • Fire experiment, modeling, and simulation;
  • Smoke characteristics, transport, and control;
  • Fire-resistant materials and building design;
  • Evacuation experiment, modeling, and simulation;
  • Crowd dynamics and crowd management strategies;
  • Human behavior and decision-making in emergencies;
  • Fire safety regulations, policies, and standards.

We look forward to receiving your contributions.

Dr. Wei Xie
Prof. Dr. Eric Lee
Prof. Dr. Yuchun Zhang
Dr. Tao Li
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fire is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • fire safety
  • fire risk assessment
  • smoke control
  • crowd dynamics
  • evacuation
  • disaster management
  • artificial intelligence

Published Papers (1 paper)

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Research

19 pages, 1775 KiB  
Article
Modelling Context Effects in Exit Choice for Building Evacuations
by Dongli Gao, Xuanwen Liang, Qian Chen, Hongpeng Qiu and Eric Wai Ming Lee
Fire 2024, 7(5), 169; https://doi.org/10.3390/fire7050169 - 17 May 2024
Viewed by 284
Abstract
Understanding exit choice behaviour is essential for optimising safety management strategies in building evacuations. Previous research focused on contextual attributes, such as spatial information, influencing exit choice, often using utility models based on monotonic functions of attributes. However, during emergencies, evacuees typically make [...] Read more.
Understanding exit choice behaviour is essential for optimising safety management strategies in building evacuations. Previous research focused on contextual attributes, such as spatial information, influencing exit choice, often using utility models based on monotonic functions of attributes. However, during emergencies, evacuees typically make rapid, less calculated decisions. The choice of context can significantly impact the evaluation of attributes, leading to preference reversals within the same choice set but under varying context conditions. This cognitive psychological phenomenon, known as context effects, encompasses the compromise effect, the similarity effect, and the attraction effect. While researchers have long recognised the pivotal role of context effects in human decision making, their incorporation into computer-aided evacuation management remains limited. To address this gap, we introduce context effects (CE) in a social force (SF) model, CE-SF. Evaluating CE-SF’s performance against the UF-SF model, which considers only the utility function (UF), we find that CE-SF better replicates exit choice behaviour across urgency levels, highlighting its potential to enhance evacuation strategies. Notably, our study identifies three distinct context effects during evacuations, emphasising their importance in advancing safety measures. Full article
(This article belongs to the Special Issue Fire Safety and Emergency Evacuation)
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