Recent Articles

Open access

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

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...

A data-limited framework for assessing road safety and resilience on rural motorways using social media and network vulnerability scoring

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

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

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,...

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...

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...

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...

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...

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...

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...

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,...

Stay Informed

Register your interest and receive email alerts tailored to your needs. Sign up below.