Recent Articles

Open access

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

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...

Geographical network analysis of drug trafficking in China (2012–2024): A method based on large language models

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)

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

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

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

•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

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

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)

•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

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....

Pedestrian evacuation avoidance preferences under bidirectional asymmetric flow conditions in subway stations: A data-driven approach

•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

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

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

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...

A CiteSpace-based quantitative review of infrastructure vulnerability assessment and safety resilience research

•Evolution of Concept Exploration-Methodological Innovation-Technological Convergence.•Frontiers research focus on cascading failures, digital twins, community resilience.•Challenges in data fusion,...

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...

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