Recent Articles

Open access

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

Exploring probabilistic patterns in illicit trade drivers using Bayesian belief networks: An analysis of associations with global supply chain risk

•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

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

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

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...

Advancing pandemic preparedness: A Scenario-and-Respond framework for disease “X”

Pandemics, caused by unknown high-consequence pathogens, referred to as Disease “X”, pose extreme yet plausible threats to public health security. Their inherent unpredictability challenges conventional...

Blockchain and digital twin integration for construction safety: A bibliometric and systematic review

The construction industry is progressively utilizing digital technologies to mitigate on-site risks, enhance incident reporting, and increase worker efficiency through real-time monitoring and automated...

Stochastic resilience thresholds and early warning signals in water-energy-food systems: A safety science framework for preventing catastrophic transitions

•Stochastic resilience framework detects 82 catastrophic transitions with 20–78 time steps advance warning.•Cross-sectoral cascade amplification quantified: 70 % water shock propagates to 14 % energy...

A dynamic prediction method for pool fire burning rates based on temporal image-scale structure fusion

Understanding the dynamic burning behavior of pool fires under different ullage heights is critically important for process safety and environmental protection, as ullage height directly governs burning...

Early warning of operators’ thermal-discomfort-induced cognitive impairment via ECG-fNIRS monitoring and dynamic spatio-temporal graph learning model

Thermal discomfort significantly impairs cognitive functions, leading to human errors and even severe system accidents. Existing deep learning methods for cognitive assessment via physiological monitoring...

Accident causality chain mining: A collaborative multi-agent framework enhanced by knowledge-guided and counterfactual reasoning

Accident causal chain mining can accurately reconstruct the underlying logical event sequence leading to an accident, providing targeted evidence for accident prevention. However, when large language...

Smart sensors for urban security and safety

Smart cities increasingly rely on sensor technology to enhance urban security and safety. This systematic review examines hardware-based sensor technologies deployed in smart urban environments, evaluating...

Learning temporal event distributions via confidence-constraint diffusion for enhanced knowledge graph forecasting

Temporal Knowledge Graph Embedding (TKGE) facilitates the modeling of evolving relationships within dynamic systems. While conventional deterministic models struggle to account for the stochasticity...

Performance evaluation of ST-DBSCAN and spatio-temporal spatially constrained K-means (ST-SCKM) for wildfire risk zoning and resilience analysis

Wildfire risk assessment requires methodologies capable of capturing both spatial contiguity and temporal variability. This study proposes a Spatio-Temporal Spatially Constrained K-Means (ST-SCKM) framework...

Multiscale Spatio-temporal Quantitative Assessment System for Grain Storage Safety Based on Grain Temperature Field

Grain temperature is a critical factor influencing the safety of stored grain. Based on heat transfer characteristics, a spatio-temporal assessment quantitative system is established for safe grain...

Analysis of public safety risk evolution based on open-source intelligence

Public safety risks increasingly emerge from complex, interconnected processes spanning multiple domains, posing challenges for traditional methods in tracking their evolution. While open-source intelligence...

Association analysis and evolution patterns of risk factors for fire and explosion accidents in hazardous chemical storage with diverse properties

Fire and explosion accidents during hazardous chemical storage have occurred frequently. However, systematic analysis of accidents involving chemicals with diverse properties remains limited, particularly...

Understanding the fire behavior of the calibration cable for assessing the reaction to fire of cables

•First bench-scale characterization of the EN 50399 mandatory calibration cable.•A small-scale dataset provides a benchmark for EN 50399 outcome prediction.•First systematic small-scale fire characterization...

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...

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