Predicting models for critical velocity at the stair entrance under a two-story building fire
June 2026
The cross-floor spread of fire smoke in a two-story building hinders personal evacuation and leads to casualties. To address this issue, sufficient wind pressure needs to be applied at the stair to...
Influencing factors and mechanisms of super high-rise buildings safety risks: A Fuzzy-DEMATEL-AISM analysis
June 2026
•Developed multi-dimension theoretical framework for super high-rise building risks.•Identified key influencing factors/pathways for super high-rise building structural risks.•Introduced multi-factor,...
Machine learning hybrid dynamic best model selection algorithm for real-time fire prediction using IoT-enabled multi-sensor data in buildings
June 2026
Fire disasters in urban areas, including homes, offices, and industrial facilities, have increased significantly over the past decade, causing extensive damage and loss of life. Integrating intelligent...
Human detection with smoke occlusion based on AI-generated images
June 2026
Detecting occupants trapped in buildings is challenging during fire accidents because of the dense, rapidly spreading smoke. To this end, this paper proposes a human detection method that accounts for...
Awareness analysis via Weibo social media data of major fire disasters
June 2026
Fire, a globally significant hazard, has a detrimental impact on lives, property, and socio-economic development. Public attention to fires is crucial for building fire safety under the current disaster-driven...
SIL assessment of safety instrumented systems in oil and gas stations based on STPA-Bow-tie
June 2026
•The STPA hazard analysis focuses on overall system structure and functional interactions.•The Bow-tie model can achieve protection layers analysis in multi-cause/consequence scenarios.•A novel rule...
Exploring cascading failures in supply chain risk management: A systematic review, 2013-2024
June 2026
Supply chain risk management has become increasingly crucial due to the complexity and interconnectivity of modern supply chains. Among various risk factors, cascading failures have emerged as a significant...
A lightweight four-channel multi-modal model to improve computational performance of automated fire detection
June 2026
The urgent need for advanced fire detection methods stems from the increased intensity of fire incidents, which cause massive property loss and irreversible damage. To overcome the limitations of traditional...
Intelligent fire modeling in wildland-urban interface: A comprehensive review of current progress, challenges, and future perspectives
June 2026
Wildfire prevention and control, especially within complex Wildland-Urban Interface (WUI), face escalating challenges due to the synergistic impacts of climate change and expanding urban frontiers....
Study on combustion characteristics of cables with spacing arrangement under different external radiation conditions
June 2026
A series of experiments was conducted to explore the influence of cable spacing on combustion characteristics in real cable installation, considering various external radiation intensities (30, 50 kW/m2)...
The impact of inaccurate supply-demand types for emergency supplies on the psychological pain of victims: Data from flood disasters in China
June 2026
After a disaster, due to transportation constraints, transportation priority setting, emergency resource shortage and imprecise assessment of emergency resources, it is easy to cause an inaccurate match...
Maritime man-overboard search using a lightweight and efficient end-to-end detection transformer
June 2026
Maritime transportation plays a crucial role in global economic trade. However, maritime accidents occur frequently, posing significant threats to the safety of seafarers. In search and rescue scenarios...
Fusing emergency data and seasonal effects for urban rail transit safety assessment: A severity probability distribution model
June 2026
An analysis of Beijing urban rail transit emergency data from 2016 to 2018 is conducted to identify the factors influencing emergency severity. A severity probability distribution model is proposed,...
Leveraging digital twin for COVID-19 risk assessment in IoT-enhanced hospital pharmacies
June 2026
Over the past three years, the Coronavirus Disease 2019 (COVID-19) pandemic has caused widespread human casualties, economic disruptions, and public health challenges. It is vital to assess the risk...
A Delphi–AHP and Dual-track Bayesian calibration Framework for Setting-Specific Transmission Risk Assessment of Acute Respiratory Infectious Diseases
Available online 8 May 2026
Acute respiratory infectious diseases (ARIDs) spread rapidly across diverse settings, necessitating accurate identification of high-risk scenarios for timely intervention. This study develops a quantitative,...
Predicting the number of forest firefighters considering fire scenarios features: A case analysis of 67 Chinese forest fires with the random forest model
Available online 28 April 2026
Forest fires remain one of the most significant threats to ecological safety and human life, characterized by suddenness, rapid spread, severe destructiveness, and difficulty in suppression. The reasonable...
A resilience-oriented active suppression decision-making mechanism for WUI fires using drones
Available online 28 April 2026
Wildland–urban interface (WUI) fires are increasing in frequency and severity, posing growing risks to both urban and natural environments. While drones are often used in fire management, they typically...
Quantitative risk assessment of large-scale hydrogen refueling stations: A systematic numerical study
Available online 27 April 2026
With the rapid development of hydrogen energy, the global demand for hydrogen refueling stations (HRSs) is escalating. Large-scale gaseous HRSs serve as pivotal regional hubs due to their high storage...
A Data-Driven Framework for Proactive Construction Safety: Assessing Meteorological Hazards with Optimized Deep Neural Networks
Available online 25 April 2026
Construction sites face high fire risks significantly influenced by dynamic meteorological conditions. This study develops and validates deep neural network (DNN) models for the quantitative prediction...
MAFF-Net: A multimodal adaptive feature fusion network for early forest fire detection
Available online 17 April 2026
Early detection of forest fires is critical for minimizing ecological and economic losses. However, most existing approaches rely on direct feature concatenation or general adaptive fusion mechanisms,...
Optimizing urban infrastructure resilience: Analyzing cascading failures and critical node dependencies through multilayer network models
March 2026
As urbanization and industrialization progress, urban infrastructure systems grow increasingly complex, heightening their vulnerability to cascading failures from natural disasters and human-induced...
Assessing resilience potentials in management of occupational safety and health in hospitals: Development and validation of a tool
March 2026
•A tool based on the Resilience Assessment Grid (RAG) was designed and validated.•A pilot test was conducted with 404 healthcare professionals across three public hospitals.•The tailored RAG proved...
CO-Mode with AV-CRM: A novel paradigm towards human–machine collaboration in intelligent vehicle safety
March 2026
With the continuous advancement in vehicle intelligence, enhancing safety has emerged as a key priority in intelligent vehicle research and development. Intelligent vehicles are currently limited in...
Evolution of human factors research in aviation safety: A systematic review and bibliometric analysis of the intellectual structure
March 2026
Despite the multitude of research endeavors dedicated to Human Factors (HF) in aviation safety, a comprehensive review remains conspicuously scarce. Accordingly, this study presents the first in-depth...
High-performance fire detection framework based on feature enhancement and multimodal fusion
March 2026
Fire detection technology has become increasingly critical in the context of rising global fire threats and extreme weather conditions. Traditional methods rely on single-modal sensors and conventional...
