Fire Safety Technology and Intelligent Evacuation
A special issue of Fire (ISSN 2571-6255).
Deadline for manuscript submissions: 30 April 2026 | Viewed by 43
Special Issue Editors
Interests: intelligent evacuation; electrical fire; risk assessment; big data analysis; deep learning
Interests: theory and method of product safety risk assessment; theory and method of hazardous substance risk assessment; environmental water quality safety assessment; safety management and risk analysis; risk assessmen; electrical fire; intelligent evacuation; public safety; emergency management
Interests: emergency decision support; disaster scenario analysis; urban risk control
Special Issue Information
Dear Colleagues,
Fire safety is undergoing a transformative shift, driven by technological innovation and the growing complexity of modern built environments. The scientific community is increasingly focused on moving beyond traditional passive protection methods towards integrated and intelligent systems capable of dynamic risk assessment and rapid response. This evolution is critically important, as fire and related hazards present escalating challenges in high-risk or emerging industries, densely populated urban areas, and complex structures like transportation hubs. Fires introduce catastrophic dynamics and secondary risks that compromise structural integrity, drastically shorten available safe egress time, and affect urban operational safety and stability. At this point, fire response decision-making faces significant challenges. The integration of advanced fire safety technology, such as big data analysis and machine learning, is therefore paramount to saving lives and reducing property damage with an effective emergency evacuation and response plan.
This Special Issue aims to collect the latest research achievements and practical applications in fire safety technology and intelligent evacuation, with a particular focus on addressing the complex or newly formed threats posed by fire. The objectives are as follows: (1) clarifying the coupling mechanism of fire and its secondary hazards; (2) optimizing the intelligent monitoring, early-warning, and assessment system for specific domain-oriented fire risk and fire-triggered compound risk; and (3) exploring how to utilize advanced technologies to enhance emergency evacuation and response task planning.
In this Special Issue, original research articles and reviews are welcome. Research areas may include, but are not limited to, the following:
- Development of fire safety technologies (e.g., AI-enabled fire safety);
- Intelligent evacuation in fire situations;
- Risk management for specific domain-oriented fire;
- Fire-triggered compound risk management;
- Fire response decision support;
- Crowd dynamics in fire situations;
- Knowledge management for fire response optimization;
- Fire emergency management in smart resilient cities;
- Fire/explosion dynamics.
We look forward to receiving your contributions.
Dr. Qing Deng
Dr. Guozhong Huang
Dr. Feng Yu
Guest Editors
Guest Editor Assistant
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 technology
- intelligent evacuation
- specific domain-oriented fire risk
- fire-triggered compound risk
- risk management
- emergency decision support
- crowd dynamics in disaster situations
- response knowledge management
- resilient urban governance
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