Machine learning and the economic losses in disasters: Progress and future trends
September 2026
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
September 2026
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
September 2026
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
September 2026
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
September 2026
•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
September 2026
•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
September 2026
•Key safety leading indicators are identified and prioritised using comprehensive bibliometric and scientometric analysis.•Complex interrelationships among the safety leading indicators are unravelled.•The...
Geographical network analysis of drug trafficking in China (2012–2024): A method based on large language models
September 2026
This article analyzes the geographical spatial model of drug trafficking crimes (domestic transportation in China and cross-border transportation involving China) from 2012 to 2024. Based on 8357 cases...
Socioeconomic drivers of fire risk: County-level risk disparities across the US (2010–2017)
September 2026
Urban fire has been one of the most significant threats to humans and is not completely avoidable in the modern era. To manage fire risk more effectively, it is critical to identify key factors that...
Reliability assessment and cascading failures analysis of mine cyber-physical systems considering state transfer
September 2026
With the advancement of the intelligent transformation of coal mines, the cyber-physical system (CPS) has been applied to all aspects of coal mining, and this transformation has brought new technical...
Integrating rational and emotional risk management: A stepwise approach and practical implications
September 2026
Decisions in complex systems need support from formal risk management. Traditional risk management, based on a “rational” idea of risk (the actual damage linked with probabilities), often diverges from...
Severe psychological distress among internally displaced adults due to armed gang violence in Haiti: Associations with community violence, social support, and resilience
September 2026
•About two thirds of internally displaced adults in Haiti experience severe psychological distress.•Psychological distress is markedly higher among rural residents compared with urban residents.•Women...
Social vulnerability and community resilience in Hulu Langat flood-prone area, Selangor
September 2026
The Hulu Langat District, known for its dense network of rivers, is highly susceptible to flooding, which has had significant impacts on its communities. This study explores the relationship between...
A multi-parameter fire detection method for aircraft cargo compartments based on CNN-Swin Transformer
September 2026
This study proposes a multi-parameter fire detection method for aircraft cargo compartments based on a convolutional neural network (CNN)-Swin Transformer fusion architecture, aiming to address the...
Mapping real flight data to weighted directed networks: An investigation on precursor detection for runway excursion incidents (REI)
September 2026
•Quick Access Recorder data from Boeing 737-700 approaches at Dali Fengyi and Tengchong Tuofeng are mapped to a directed and weighted risk network for Runway Excursion Incidents.•Link weights are derived...
Enhancing resilience in UAV swarms: A literature review
September 2026
Unmanned aerial vehicles (UAVs) are widely used in both civilian and military applications, operating individually or collaboratively in swarms to enhance coverage, adaptability, and fault tolerance....
Intelligent risk identification and assessment for hazardous operations on construction sites: A novel approach integrating knowledge graph and large language models
Available online 23 September 2026
On construction sites, various dangerous operations are often unavoidably involved, necessitating intelligent risk identification and assessment as a critical component of safety management. This study...
Study on the evolution of radiative view factor in aviation kerosene fires under obstacle effects
Available online 17 September 2026
To clarify the influence of obstacles such as enclosures on radiative heat transfer in aviation kerosene tank fires, this study investigated the variation of the view factor (F) based on a tilted cylindrical...
Immersive Technologies for Infrastructure Resilience: A Systematic Review of VR and AR in Disaster Preparedness and Emergency Management
Available online 17 September 2026
As climate-related disasters and human-induced disruptions increase in frequency and intensity, infrastructure systems must evolve toward greater resilience, adaptability, and intelligence-driven operation....
Pedestrian evacuation avoidance preferences under bidirectional asymmetric flow conditions in subway stations: A data-driven approach
Available online 13 September 2026
•A data-driven framework is established to explore pedestrian evacuation avoidance preferences in bidirectional asymmetric subway flow.•Interpretable behavioral rules are extracted, bridging the gap...
TileNet: Tile-based CNN-SVM architecture for autonomous unmanned aerial systems inspection of flat roofs
Available online 11 September 2026
Flat roofs are among the most influential components of the building envelope, governing both structural performance and thermal efficiency, and thereby contributing directly to household energy consumption,...
Dynamic Risk Anticipation for Airborne Satellite Resilience through Physics-Based Safe Reinforcement Learning
Available online 11 September 2026
Airborne satellite communication is increasingly used in safety-critical aviation operations. Existing switching schemes often rely on fixed thresholds, particularly vertical-rate indicators, to separate...
AI‑Enabled Generative Learning for Early Warning of Safety‑Critical Small UAS Incidents under Sparse Data Conditions
Available online 20 August 2026
The rapid integration of small unmanned aircraft systems (UAS) into low-altitude environments introduces complex safety challenges, yet systematic analysis of precursor mechanisms remains limited by...
Early warning of operators’ thermal-discomfort-induced cognitive impairment via ECG-fNIRS monitoring and dynamic spatio-temporal graph learning model
Available online 23 July 2026
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
Available online 22 July 2026
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...
