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...

Integrating multi-temporal LiDAR and AHP for landslide detection and susceptibility mapping in Prince George’s County, Maryland

Landslides pose a persistent threat to transportation infrastructure, ecosystems, and human safety, particularly in low relief but rapidly urbanizing regions where shallow slope failures are often overlooked...

Enhancing warehouse safety and resilience through virtual reality: A user-centered design approach to training feasibility

Safety training is essential for saving lives and resources, especially in high-risk environments like warehouses. This study investigates virtual reality (VR) as a tool for safety training and utilizes...

Real-time prediction of transient thermal hazard decay during large-scale crude pool fire suppression: An algebraic model calibrated by coupled simulation-field data

The accurate characterization of transient thermal hazard decay in large-scale crude oil pool fires (D = 15 m) remains a significant challenge due to complex sooting combustion dynamics and the scarcity...

Enhancing flood resilience analysis for chemical plants: An LLM-assisted Bayesian network approach to electrical equipment damage causation

Global warming has exacerbated flood disasters, leading to severe natural hazard triggered technological accidents (Natech). Chemical plants are particularly exposed because their process continuity,...

Accident impact analysis for hydrogen car tank explosions at complex hydrogen refueling stations

•Established a station-scale blast consequence assessment workflow using FLACS with a TNT-equivalent approach.•Validated the numerical model against full-scale experimental overpressure measurements.•Investigated...

Towards a systematic achievement of supply network resilience - integrating five major theoretical lenses

Supply network resilience is increasingly important, yet managers and researchers still lack an integrated theoretical basis to systematically select and quantify resilience mechanisms and their effectiveness...

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

The uncertainty in effective reproduction number estimation from heterogeneous case reporting

The effective reproduction number (Rt) is a pivotal metric for tracking epidemic dynamics and informing public health interventions. However, its estimation is often compromised by heterogeneous case...

Identifying critical safety links under different scenarios in Urban roadway network

The urban roadway network is vulnerable to disruptions when providing services to the movement of people and goods. Identifying critical links is an essential aspect of criticality analysis, which enables...

Analysing roadwork zone incursions and accidents using a sustainable GenAI system

Roadwork zone incursions, which refer to unauthorized or unintended entries into restricted work areas, present significant safety hazards and often lead to road accidents. While these incidents account...

Machine learning and the economic losses in disasters: Progress and future trends

Climate change-induced disasters pose a significant global societal challenge, resulting in disruption and substantial economic losses. To combat such challenges, it is crucial to develop resilience...

Assessing and enhancing the fire resilience of urban road tunnels: A new framework and case study

Fire is one of the most common hazards in urban road tunnels. However, due to a lack of a systematic understanding of the full evolution of tunnel fires, existing studies often struggle to accurately...

A resilience assessment framework for healthcare systems considering water electricity and transportation system failures

The healthcare system is closely related to the health of every resident, constituting a focal concern for most nations and regions. With the development of cities, the interdependencies among various...

An adaptive recurrent neural network model for carbon emission trading market risk prediction

Accurately predicting carbon emission trading market risk is significantly important for governments to dynamically monitor market trends and provide scientific decision-making support for market participants...

Accurate hazardous gas detection under uncertain disturbing environment with multi-fusion model combined with artificial olfactory system

•A novel precise hazardous gas detection based on artificial olfactory system (AOS) was proposed.•Deep learning AOS model has better performance for gas quantitate identification under disturbing environment...

From simulation to safety strategy for unplanned mass gatherings: Agent-based evacuation optimization with lessons from Wuhan’s mega-event

•Evaluates the effectiveness of three crowd management strategies for unplanned gatherings: no guidance, guidance-only, and a coordinated delay-guidance strategy.•Quantifies the impact and contribution...

A state-of-the-art review of safety leading indicators across diverse industries

•Key safety leading indicators are identified and prioritised using comprehensive bibliometric and scientometric analysis.•Complex interrelationships among the safety leading indicators are unravelled.•The...

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