Fire Safety Management and Risk Assessment

Dear Colleagues,

We are pleased to invite you to contribute to a Special Issue on Fire Safety Management and Risk Assessment in our journal. This Special Issue aims to showcase the latest advancements and research breakthroughs in the field of safety management and risk assessment, emphasizing the utilization of advanced technologies and data-driven approaches for enhancing fire safety measures.

This Special Issue aims to shed light on the crucial aspects of fire safety management and risk assessment, offering a comprehensive understanding of the challenges, strategies, and technologies that contribute to effective fire prevention, detection, and mitigation. Intelligent fire safety management leverages cutting-edge technologies, including artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT), to enhance fire prevention, detection, and suppression. This Special Issue seeks to foster collaboration and exchange of knowledge, ultimately advancing fire safety practices and minimizing the devastating impacts of fires.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

• Hazards and risk assessment of lithium-ion battery systems;
• Fire protection measures in energy storage systems;
• Fire safety strategies for hydrogen fuel cell technologies;
• Fisk assessment framework for gas-fired power plants;
• IoT-based smart fire alarm and evacuation systems;
• Data analytics and predictive modeling for fire risk assessment;
• Human–computer interaction in fire safety management;
• Development and evaluation of IoT-enabled fire monitoring systems;
• Smart sensors and wireless networks for intelligent fire alarm systems;
• Human–computer interaction for enhancing firefighters' situational awareness;
• Risk assessment and safety analysis of smart homes and buildings;
• Augmented reality (AR) and virtual reality (VR) applications in fire safety training;
• Fire suppression system evaluation in ships and maritime vessels;
• Intelligent pedestrian evacuation system in smart buildings;
• Risk assessment of crowd movement and evacuation.

We look forward to receiving your contributions.

Dr. Shenshi Huang
Dr. Yubo Bi
Dr. Mingjun Xu
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.

• safety management
• risk assessment
• IoT-based system
• fire safety training
• crowd evacuation