Exploring probabilistic patterns in illicit trade drivers using Bayesian belief networks: An analysis of associations with global supply chain risk
December 2026
•Bayesian Belief Networks quantify probabilistic links in illicit trade drivers.•Economic and institutional factors strongly shape supply chain risk patterns.•Operational weaknesses in supply chain...
Time-dependent assessment criteria for power system resilience
December 2026
This study presents a novel time-dependent framework and metric for resilience assessment of complex systems, with a focus on power systems. The proposed method integrates qualitative and quantitative...
Exploring the construction and optimization of collaborative forest fire rescue systems in China
December 2026
The abruptness, devastation, and unpredictability of forest fires place significant demands on the systemic and coordinated functions of rescue organizations. Strengthening the forest fire rescue system...
A data-driven framework for evaluating risk communication effectiveness in public emergency events: An EPPM extension with quantitative parameters
December 2026
Risk communication plays a critical role in facilitating effective interactions between governments and the public, promoting compliance with coordinated policies, and enhancing the prevention and control...
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...
SeBot-MLS: Multi-level structural feature learning for graph-based social bot detection
June 2026
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
June 2026
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
June 2026
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
June 2026
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...
A data-limited framework for assessing road safety and resilience on rural motorways using social media and network vulnerability scoring
Available online 12 June 2026
This study presents a novel methodological framework for assessing the vulnerability and resilience of motorway networks in the absence of conventional traffic and incident data. By combining social...
For every £1 spent on societal resilience to disruption in the UK, society benefits from £35.12 of public value
Available online 11 June 2026
This paper provides evidence that, for every £1 spent on societal resilience to disruption in the UK, society benefits from £35.12 of public value. Many societal resilience initiatives have been unable...
Modeling and assessment of intrinsic resilience kernel based on convolution model considering multi-disruption: A disruption-response perspective
Available online 10 June 2026
Quantitative resilience assessment of engineered systems predominantly relies on performance-over-time metrics, which cannot decouple the system’s intrinsic resilience from external disruption influences,...
