Recent Articles

Open access

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

Quantitative risk assessment of large-scale hydrogen refueling stations: A systematic numerical study

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

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

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

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

•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

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

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

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...

Machine learning for occupational accident analysis: Applications, challenges, and future directions

Machine learning (ML) drives progress in occupational accident prevention across diverse sectors. However, significant challenges persist in aligning these tools with practical safety needs, including...

Guidance for estimating the blast load from vapour cloud explosions in traffic environments using the multi-energy method

The accidental release of a flammable gas on a road can result in a vapour cloud explosion (VCE). Such VCEs generate a blast wave that propagates away from the explosion, potentially damaging nearby...

Knowledge and practice of earthquake management among apartment dwellers: A case study of Jakarta City, Indonesia

Urban city apartments and flat dwellers face increasing threats from earthquakes, and the current understanding and implementation of earthquake risk reduction techniques in high-rise housing communities...

National resilience: Development and validation of a new four-dimensional model for disaster preparedness assessment

The studies described here aim to develop and empirically validate a more accurate and reliable model for assessing national resilience, emphasizing its importance for disaster risk reduction and disaster...

A position-aware attention model based on double-level contrastive learning for hyper-relational knowledge graph representation in emergency management

Effective emergency management relies on timely risk identification and decision-making, wherein natural language processing plays a vital role. Hyper-relational knowledge graph (HKG) representation,...

Improving fire resistance of data monitoring equipment in wildland and wildland-urban interface fires

The 2019–2020 Black Summer fire season highlighted the vulnerability of water monitoring sites, causing damage, data loss, and negatively affecting water management during massive wildfires. It becomes...

Advancing hazardous materials transport safety: Systematic insights on risks, challenges, and research gaps

•Comprehensive review of 1779 publications on Hazmat transportation safety.•Identifies critical gaps in resilience engineering, human factors, and security.•Advances understanding of dynamic risks and...

A fuzzy multi-criteria decision framework for community isolation center site selection to enhance public health resilience

•Proposes a fuzzy MCDM framework for selecting isolation centers during outbreaks.•Integrates FAHP and FTOPSIS using trapezoidal fuzzy numbers to model uncertainty.•Applies the model to a real-world...

Skeleton-based detection of anomalous personal protective equipment doffing behaviors among healthcare workers

Identification of doffing behaviors of personal protective equipment (PPE) plays a crucial role in ensuring the safety of healthcare workers. With the continuous emergence of new infectious diseases,...

Coupled effects of ammonia addition proportions and pipeline diameter on self-ignition in high-pressure hydrogen leakage

Hydrogen's intrinsic flammability and explosiveness pose serious safety hazards. This study systematically investigates the coupled effects of pipe diameter and ammonia addition proportions on self-ignition...

Construction and application of knowledge graph for urban agglomeration emergency rescue collaboration in earthquake disasters

This study proposes an emergency rescue collaboration knowledge graph construction method for urban agglomeration in earthquake disasters. Based on the collection of 22 earthquake disaster emergency...

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...

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 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 accident(Natech). Chemical plants are particularly exposed because their process continuity,...

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...

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...

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...

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