Recent Articles

Open access

ISSN: 2666-4496
CN: 10-1656/X
p-ISSN: 2096-7527

Predicting models for critical velocity at the stair entrance under a two-story building fire

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

•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

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

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

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

•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

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

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

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

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

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

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

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

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...

SeBot-MLS: Multi-level structural feature learning for graph-based social bot detection

Recent advances in artificial intelligence technologies, especially large language models, have made social bots more intelligent and human-like. This increased sophistication poses significant challenges...

AI for safety: Physics-inspired data-driven approach for cost-saving seismic fragility analysis

Seismic fragility analysis is crucial for loss assessment of earthquake disaster. This study aims to leverage the advantages of physics-inspired AI methodologies to reduce the cost of collecting datasets...

Resilience assessment of China’s strategic mineral supply chain: A hybrid GRA–BP–LSTM approach for risk prediction and early warning

Strategic mineral resources constitute the fundamental pillars of national security, industrial stability, and technological progress. In China, these resources underpin over 70 % of the nation’s GDP...

A mechanistic framework for assessing the resilience of urban energy pipelines against third-party damages

Third-Party Damages (TPDs) have been documented as primary threats to the functional integrity and operational safety of urban energy pipelines. However, a mechanistic framework for assessing the resilience...

AI4AirSafe: A Quintuple KG–LLM Framework for Causal Reasoning in Aviation Accidents

•Quintuple-based representation extends traditional triples by adding event and time attributes, enabling fine-grained causal and temporal reasoning.•Hybrid KG–LLM framework combines symbolic knowledge...

Exploring short/long-term measures of microgrids for efficient power system resilience

Global power infrastructure is becoming increasingly vulnerable due to aging components, necessitating enhanced resilience strategies to mitigate risks linked with high-impact, low-probability (HILP)...

AI for safety: rethinking risk in human-AI socio-technical systems

Analysis of Occupational Diseases and Standard of OHP in the UK Construction Industry

The purpose of the paper is to identify characteristics of occupational health diseases and proffer guidance for improving standards of occupational health practices in the UK construction sector. The...

A Delphi–AHP and Dual-track Bayesian calibration Framework for Setting-Specific Transmission Risk Assessment of Acute Respiratory Infectious Diseases

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

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

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...

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