安全科学与韧性(英文)最新文献

{"title":"Systematic literature review of Ergonomic evaluation methods in the mining sector (2015-2024)","authors":"Nelson Chambi Quiroz ,&nbsp;David Mauricio ,&nbsp;Jorge Inche Mitma ,&nbsp;Celso Sanga","doi":"10.1016/j.jnlssr.2025.100215","DOIUrl":"10.1016/j.jnlssr.2025.100215","url":null,"abstract":"<div><div>Musculoskeletal disorders (MSDs) in the mining sector are frequently associated with exposure to ergonomic risk factors, leading to decreased productivity and increased absenteeism. This study presents a systematic literature review of ergonomic evaluation methods, identified risk factors, and affected body regions, based on journal articles indexed in ScienceDirect, Emerald, Taylor &amp; Francis, Wiley, Scopus, Sage, IEEE Xplore, and Web of Science. From an initial pool of 213 studies, 49 primary studies were selected, 82 % of which were published in Q1 or Q2 journals. The review identifies six individual ergonomic assessment methods (Nordic Questionnaire, ISO/IEC 2631–1, REBA, OWAS, NIOSH, and Risk Score) and two hybrid methods (Bayesian Network + REBA, and RULA + Nordic Questionnaire). Additionally, it categorizes 13 affected body parts (e.g., back, shoulders, neck, waist) and 11 ergonomic factors (e.g., heavy loads, repetitive tasks, vibration, static postures, and work schedules). The findings reveal that a majority of studies focus on underground mining operations, with the Nordic Questionnaire and ISO/IEC 2631–1 being the most frequently used methods. The back and shoulders are the most commonly studied body parts, while vibration and working hours emerge as the most prevalent risk factors. Finally, six challenges are proposed to address current research gaps, including the integration of deep learning techniques and the evaluation of less-studied joints such as the wrist and elbow. This review provides a valuable foundation for researchers and mine safety professionals seeking to advance ergonomic assessment in mining environments.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 4","pages":"Article 100215"},"PeriodicalIF":3.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144771361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Extending the STPA to model the control structure with Finite State Machine","authors":"Tiago Aroeira Marliere,&nbsp;Cecilia de Azevedo Castro Cesar,&nbsp;Celso Massaki Hirata","doi":"10.1016/j.jnlssr.2025.04.004","DOIUrl":"10.1016/j.jnlssr.2025.04.004","url":null,"abstract":"<div><div>Cyber–physical systems (CPSs) are becoming increasingly complex, integrating physical entities with diverse computing and communication resources, multiple processors, networks, and devices. One example is the Unmanned Aircraft Systems (UAS) Traffic Management (UTM) system, where interactions among components can lead to UAS collisions and harm to people and property. System Theoretic Process Analysis (STPA) is a systems theory-based technique for conducting early-stage safety analyses of complex systems. The <em>Model the Control Structure</em> step in STPA involves identifying each controller component, its process models, and its control actions. However, conventional STPA process models use only variables and states, which may be insufficient for systems involving entities that transition through multiple state flows. This study introduces a novel extension by integrating Finite State Machine (FSM) modeling into the <em>Model the Control Structure</em> step. The FSM-based approach captures detailed behaviors of entities requiring control by explicitly modeling their states and transitions in an iterative process. This extended STPA was applied to the UTM to control the delivery of UAV packages. The results demonstrate that the FSM extension enhances identifying control actions, feedback loops, process model variables, and unsafe control actions. The study concludes that the extended STPA provides a systematic approach for analyzing CPSs with entities that undergo complex state transitions, contributing to improved systematization and consistency of safety analyses.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 4","pages":"Article 100214"},"PeriodicalIF":3.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144863743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of a framework for safety and resilience in overhead power cables: Use of a fuzzy inference system for risk and reliability analysis","authors":"A.M. Sakura R.H. Attanayake,&nbsp;R.M. Chandima Ratnayake,&nbsp;T. Markeset","doi":"10.1016/j.jnlssr.2025.03.005","DOIUrl":"10.1016/j.jnlssr.2025.03.005","url":null,"abstract":"<div><div>Ensuring the safety, resilience, and reliability of overhead low-voltage (LV) and medium-voltage (MV) power cables in aging infrastructure is vital for maintaining essential services and mitigating risks in electrical power distribution systems. This study introduces a novel framework that integrates fault tree analysis (FTA)/failure mode and effect analysis (FMEA) and a fuzzy inference system (FIS) to systematically address performance variability and enhance the operational life of these critical assets while ensuring safety and resilience. This structured framework employs risk-informed decision-making as well as reliability-based safety and resilience assurance, incorporating international standards and best practices. Under this methodology, the FIS models uncertainties in asset performance, using expert-defined rules and membership functions to categorize risk levels and assess failure severity. A case study is performed on overhead MV power cables, specifically the \"Racoon\" all-aluminum alloy conductor (AAAC), demonstrating its practical implementation. The results reveal that for typical environmental conditions and design parameters, the yearly reliability of the conductor is nearly 1, indicating compliance with IEC standards. Furthermore, a risk matrix is developed using current carrying capacity (CCC), a failure mode obtained from the FTA as the probability of occurrence, and power shutdown duration (PSD) as the severity indicator. The risk matrix estimates the potential risk (<em>PR</em>) level based on CCC and PSD inputs. For example, for CCC = 260 A and PSD = 50 min, the resulting <em>PR</em> is 12.9, indicating a moderate risk exists. These risk levels guide appropriate resilience actions, ensuring proactive power cable management by identifying critical risks, prioritizing mitigation measures, and ensuring adaptability and compliance. This approach not only addresses the challenges of aging infrastructure but also contributes to long-term system integrity and operational reliability.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 4","pages":"Article 100213"},"PeriodicalIF":3.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144827039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The value of structured occupational safety data and cluster analysis: A case study from the Italian National Surveillance System","authors":"Armando Guglielmi ,&nbsp;Antonio Leva ,&nbsp;Mauro Pellicci ,&nbsp;Maria Grazia Gnoni ,&nbsp;Fabiana Tornese","doi":"10.1016/j.jnlssr.2025.03.003","DOIUrl":"10.1016/j.jnlssr.2025.03.003","url":null,"abstract":"<div><div>The collection and analysis of accident data are crucial steps towards the application of effective preventive measures in the occupational safety context. The analysis of work-related accidents/injuries is a focal starting point for improving the safety level in each sector. Data collection represents a critical activity in this field since it is not characterized by a standardized approach. Quantitative models allowing the extraction of root causes of an injury can be effectively applied without a vast computational effort only if structured safety data are available. The aim of this study is to demonstrate the benefits related to the adoption of a structured and standardized model for the collection and analysis of safety data. Thus, the application of quantitative methods (based on statistical models) to structured safety data about injuries is proposed in the present study. A case study on fatal injuries that occurred in the construction sector in Italy from 2002 to 2022 is discussed, based on data collected through a structured database called Infor.MO and managed by the Italian National Institute for Insurance against Accidents at Work (INAIL), Regions and Autonomous Provinces and Local Health &amp; Safety Departments (LHSDs). A statistical analysis based on a multi-step process (including optimal scaling, principal component analysis, and cluster analysis) has been applied to point out the real accident scenarios and root causes characterizing the sector analyzed. Thanks to the structured set of data provided by Infor.MO, applying different statistical techniques has been supported, elaborating data and extracting meaningful information about the most significant fatal injury scenarios. The results obtained allowed us to point out four main clusters of fatal injury scenarios, highlighting common causes reliably. This application has pointed out operational and strategic benefits related to the availability of structured safety data to both highlight root causes of injuries and, in a more strategic way, to improve the effectiveness of prevention activities.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 4","pages":"Article 100210"},"PeriodicalIF":3.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144750440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Urban road collapse risk assessment based on the extended xLSTM Network","authors":"Jiahao Zhou ,&nbsp;Juncai Jiang ,&nbsp;Yizhao Wang ,&nbsp;Wenfeng Bai ,&nbsp;Fei Wang ,&nbsp;Long Chen ,&nbsp;Qinglun He","doi":"10.1016/j.jnlssr.2024.10.005","DOIUrl":"10.1016/j.jnlssr.2024.10.005","url":null,"abstract":"<div><div>Rapid urbanization has substantially increased the complexity of urban underground spaces. This complexity leads to frequent road collapse incidents that pose significant threats to the safety and property of urban residents. Therefore, accurate methods of performing early road collapse risk assessments are crucial for preventing these incidents and emergency preparedness. In this study, road collapse incident data for 2016–2021 were collected for Foshan, Guangdong Province, a city in southern China. Utilizing InSAR time-series data from Sentinel-1 satellites, ground subsidence maps were generated, and the publicly accessible Ground Subsidence Trend-Based Urban Road Collapse Risk Dataset (GSTURCRD) was constructed. A novel risk assessment method for urban road collapse based on an extended long short-term memory (xLSTM) network was proposed. This method introduces two new LSTM variants, the scalar LSTM (sLSTM) and the matrix LSTM (mLSTM), incorporating exponential gating and an innovative matrix memory structure. These variants are integrated using residual connections to form a comprehensive network architecture that enables effective learning and representation of the temporal features. The experimental results from the dataset demonstrate that the proposed method significantly outperforms the original LSTM network and traditional machine learning methods regarding assessment capability (its accuracy was 0.886, and its recall was 0.857). Furthermore, the method's effectiveness was validated by an analysis of actual incidents that occurred in Foshan; thus, its ability to generate accurate and timely detections and provide early warnings for high-risk road sections in urban areas was confirmed.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 4","pages":"Article 100205"},"PeriodicalIF":3.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144665613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A deep learning and edge computing integrated approach for fall behavior detection in buildings","authors":"Mingze Ma ,&nbsp;Xiaofeng Hu","doi":"10.1016/j.jnlssr.2025.100218","DOIUrl":"10.1016/j.jnlssr.2025.100218","url":null,"abstract":"<div><div>This study proposes a model integrating YOLOv11 and STGCN for accurate and real-time detection of fall behaviors within buildings. A specialized video dataset comprising fall behaviors performed by six volunteers was developed and used to validate the model’s effectiveness in cloud computing and edge computing environments. The results obtained in the cloud computing environment were characterized by ample computational resources and the absence of real-time constraints. The model achieved precision, recall, and F1-score for fall behaviors exceeding 0.98. The model was integrated into edge computing devices in an actual test environment to directly process real-time video stream data. A missed detection rate of 18 % was observed on the Jetson ORIN NX 16GB device, while the Jetson AGX Orin 64GB recorded a lower missed detection rate of 15 %. Similarly, a false alarm rate of 16 % was observed on the Jetson ORIN NX 16GB device and 12 % on the Jetson AGX Orin 64GB device. These performance differences between the high-performance cloud computing cluster and edge computing devices, as well as among different edge computing devices, may be attributed to variations in computational resources, data quality, and device parameters. The results demonstrate the potential of the proposed model for real-time fall detection in resource-constrained environments.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 4","pages":"Article 100218"},"PeriodicalIF":3.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144722051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Resilience assessment of public health system at multi-levels: An emergency management capacity quantification model for pandemic response","authors":"Qing Deng ,&nbsp;Yanchao Ye ,&nbsp;Wei Wang ,&nbsp;Hui Zhang","doi":"10.1016/j.jnlssr.2025.100220","DOIUrl":"10.1016/j.jnlssr.2025.100220","url":null,"abstract":"<div><div>Facing the global pandemic of coronavirus disease 2019 (COVID-19), countries and regions have implemented different policies and non-pharmacological interventions (NPIs) according to their circumstances. These policies and intervention measures provide new insights into assessing local resilience from the perspective of response capacities in the public health system. This study aims to establish a multi-dimensional and dynamic resilience assessment model based on the index system method. The complete assessment model includes building a comprehensive system, executing the system in specific scenarios, and measuring resilience. The comprehensive system, like a guideline, is constructed from six key categories. The system involves the entire society, encompassing various levels, including country, state, province, city, local community, and individual. It considers not only policy formulation but also the actual implementation of the policy. The comprehensive system does not necessarily apply to all scenarios during the system's implementation. The actual case, the prevention &amp; control in England, is introduced to assess the local resilience and verify the proposed assessment model. The results prove that our model can be used to assess local resilience for the public health system and seek capacity improvement when responding to epidemic situations.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 4","pages":"Article 100220"},"PeriodicalIF":3.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144852589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Studying the dynamics of crowd panic propagation during emergency evacuation","authors":"Yushan Li ,&nbsp;Changchun Liu ,&nbsp;Yi Yang","doi":"10.1016/j.jnlssr.2025.03.001","DOIUrl":"10.1016/j.jnlssr.2025.03.001","url":null,"abstract":"<div><div>Casualties during emergency evacuations are often attributed to people’s panic-driven extreme behaviors rather than the accidents themselves. The propagation of panic is influenced by various factors. Based on the susceptible–infectious–recovered–susceptible (SIRS) model, a system dynamics (SD) model was developed using AnyLogic software to investigate the spread of panic emotions within a population. A case study focused on hospital emergency evacuations was conducted, wherein factors influencing panic propagation were divided into individual and group levels. The population was classified into three categories—staff, caregivers, and patients—and the effect of the ratio of these categories on evacuation efficiency was examined. Based on these classifications, an evacuation simulation experiment was conducted to examine the effects of panic emotions on evacuation efficiency. Results indicate that optimal hospital evacuation efficiency is achieved with a staff:caregiver:patient ratio of 2:2:1. The overall evacuation process is significantly impacted by panic, resulting in a 64 % increase in evacuation times when panic propagation is considered compared to scenarios where it is not. Furthermore, the initial 10 s following a disaster were identified as crucial for managing severe panic. Valuable insights for improving emergency evacuation management are provided by this study.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 4","pages":"Article 100207"},"PeriodicalIF":3.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144738137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on emergency evacuation guidance in the subway station hall","authors":"Ping Zhang ,&nbsp;Yujie Cui ,&nbsp;Lizhong Yang ,&nbsp;Kaixuan Wang ,&nbsp;Wenjun Liu ,&nbsp;Jinzhong Wu","doi":"10.1016/j.jnlssr.2025.100216","DOIUrl":"10.1016/j.jnlssr.2025.100216","url":null,"abstract":"<div><div>In recent years, with continued urbanization, subway stations with complex structures have developed rapidly, posing serious challenges to daily crowd management and emergency evacuation safety. A social force-based evacuation guidance model was developed to simulate the process of pedestrian evacuation at the concourse level of a subway station in Shenyang by combining questionnaires and field surveys. The objective was to explore the impact of various factors—such as the viewing distance, guidance number, guidance location, and proportion of pedestrians accepting the guiding information—on evacuation efficiency in subway station halls with multiple exits. The results showed that static leaders reduced the evacuation time, especially in situations with a limited field of view. Compared with the “no guidance” case, the evacuation time was shortened by approximately 20.16 % and 9 % when the viewing distances were 2 and 6 m, respectively. Moreover, a small number of static leaders could effectively guide the crowd to evacuate the subway station hall, demonstrating the positive role of guidance in emergency evacuations. Considering the actual situation and human cost, it was reasonable to have eight static leaders in the subway station hall, which reduced the evacuation time by approximately 40.47 % compared to the situation without guidance. Influenced by the viewing distance, scene layout, and pedestrian density, when static leaders were distributed at the exits, evacuation improved. Moreover, the higher the percentage of pedestrians accepting the guidance information, the better the evacuation performance. This study provides scientific support for guidance arrangements in the daily management and emergency evacuation of subway stations.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 4","pages":"Article 100216"},"PeriodicalIF":3.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144829522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association analysis of causative factors of fall from height accidents","authors":"Hanjun Guo ,&nbsp;Yuwei Mo ,&nbsp;Zixi Wang ,&nbsp;Rongxue Kang ,&nbsp;Ke Tang ,&nbsp;Qiuju Ma","doi":"10.1016/j.jnlssr.2025.100221","DOIUrl":"10.1016/j.jnlssr.2025.100221","url":null,"abstract":"<div><div>Working at height is widespread across various industries, with frequent and hazardous falls occurring regularly. Such tasks are often linked to multifactorial issues, where the interplay of diverse factors leads to accidents that are challenging to control effectively. This study establishes an index system for the factors influencing falls from height by statistically analyzing 101 incidents, identifying 64 causative elements classified into four categories. These include 17 factors related to operator condition and behavior, 13 concerning equipment and facility conditions, 7 pertaining to site conditions, and 27 associated with production operations management. Utilizing the Apriori algorithm and Gephi software, the study mined the association rules of causal factors in falls from height and constructed their network diagram. By examining association rules with high support, confidence, and lift, the relationships between key causal factors leading to accidents are clarified, identifying critical operational control points and providing a scientific foundation for reducing the incidence of falls from height. Currently, China's standards related to working at height remain fragmented. This study lays the foundation for the development of comprehensive, systematic, generic safety management standards for working at height, satisfying the needs of the field.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 4","pages":"Article 100221"},"PeriodicalIF":3.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144892937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}