Fire Risk Management and Emergency Prevention
A special issue of Fire (ISSN 2571-6255).
Deadline for manuscript submissions: 30 April 2026 | Viewed by 251
Special Issue Editors
Interests: modern safety management; intelligent firefighting; risk assessment and warning; emergency prevention
Interests: intelligent firefighting; risk assessment and warning; emergency prevention; social governance
Special Issues, Collections and Topics in MDPI journals
Interests: electrical fire; building fire; new energy fire
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Fire accidents have always been a matter of great concern to people, and their prevention and rescue are significant to everyone. In 2024, there were 908000 fires nationwide, resulting in 2001 deaths and an economic loss of 7.74 billion RMB. Fire risk management and emergency prevention are complex and comprehensive tasks. In the era of digital intelligence, the development of technologies such as artificial intelligence and big data has provided many new technologies for fire prevention. In order to better manage fire risks and prevent emergencies, this Special Issue will be launched. We are pleased to invite you to follow this Special Issue and submit your latest manuscript.
This Special Issue aims to theories, technologies, and equipment related to fire risk management and emergency prevention, particularly digital and intelligent technologies and methods. The scope covers residential fires, commercial building fires, industrial park fires, and more.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
(1) The theory and methods of fire risk management.
(2) The theory and methods of fire risk assessment.
(3) Technologies and equipment for fire risk prediction.
(4) Technologies and equipment for fire emergency prevention.
(5) Digital technology for fire prevention and rescue.
(6) Fire accident prevention safety training and emergency science popularization.
(7) Intelligent technology and equipment for fire prevention.
(8) Fire prevention and extinguishing technology
(9) Research related to fire risk management and emergency prevention
(10) AI driven fire surveillance technologies and embodied Intelligence
We look forward to receiving your contributions.
Dr. Xuecai Xie
Dr. Xueming Shu
Prof. Dr. Haowei Yao
Dr. Jun Hu
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 risk analysis
- fire risk assessment
- fire risk warning
- fire risk management
- fire emergency rescue
- technology and equipment
- digital technology
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