安全科学与韧性(英文)最新文献

{"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":"2025-06-06","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":"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":"2025-06-06","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":"2025-06-06","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}

{"title":"An analysis of relationships between occupational injury, job satisfaction and turnover intention among stone, sand, and gravel mine workers","authors":"Todd D. Smith,&nbsp;Kiran Mondal","doi":"10.1016/j.jnlssr.2025.100219","DOIUrl":"10.1016/j.jnlssr.2025.100219","url":null,"abstract":"<div><div>Stone, sand, and gravel mining accounts for 80 % of all mining operations. Maintaining a skilled labor force is essential for this large and growing mining sector. Occupational injuries negatively impact worker health and well-being and are costly. Additionally, injuries may impact workers’ job satisfaction and their desire to seek other employment. The impact of work-related occupational injuries on job satisfaction and turnover intention has not been explored in stone, sand, and gravel mining operations. This study analyzed cross-sectional data from 459 workers employed in the stone, sand, and gravel mining industry in the midwestern United States. Mplus was used to complete path analysis to assess a hypothesized model and its relationships. Analyses determined the model was a good fit for the data, occupational injuries negatively impacted worker job satisfaction, job satisfaction negatively impacted turnover intention, and job satisfaction mediated the relationship between occupational injuries and turnover intention. These findings confirm posited hypotheses and provide evidence that occupational injuries not only harm workers but also result in diminished job satisfaction and ultimately turnover intention, important business outcomes for the stone, sand, and gravel mining industry.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 4","pages":"Article 100219"},"PeriodicalIF":3.4,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144863742","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":"2025-05-22","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":"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":"2025-05-16","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":"Urban community exposure risk assessment for industrial asbestos cement roofing: Coupled GIS and computer vision-based approach","authors":"Mia V. Hikuwai ,&nbsp;Nicholas Patorniti ,&nbsp;Rodney A. Stewart","doi":"10.1016/j.jnlssr.2025.03.002","DOIUrl":"10.1016/j.jnlssr.2025.03.002","url":null,"abstract":"<div><div>Legacy asbestos in built-up urban areas poses a risk of exposure to the surrounding community through environmental exposure pathways. Better understanding the exposure risk of in-situ asbestos containing materials (ACM) presents to surrounding communities through these pathways can better inform its management and reduce asbestos-related diseases. Remote sensing imagery and computer vision techniques facilitate the automated detection of ACM roofs across urban areas. Identifying ACM roofs coupled with GIS-based approaches to evaluate urban community characteristics provides an assessment of community exposure risk to asbestos in a scenario where ACM roofs are disturbed or degraded. This study develops a novel Asbestos-Community Exposure Risk Assessment (A-CERA) framework and associated method and then applies it to a case study urban area located in Australia. A-CERA was developed and applied using a three-phase study method. Phase 1 develops a framework of asbestos exposure risk from literature and subject matter expert focus groups. Phase two formulates the techniques and methods underpinning A-CERA, including autonomous computer vision ACM roof detection, GIS-based land-use feature extraction, and community exposure risk quantification and assessment. Phase 3 applies the developed A-CERA framework to an urban area covering 320 square kilometres with 2,512 detected industrial ACM roofs. Each ACM roof was ranked from the highest assessed level of community exposure risk to the lowest. A-CERA advances the way ACM materials are managed within the urban footprint to reduce asbestos-related diseases.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 3","pages":"Article 100208"},"PeriodicalIF":3.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144749585","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":"DLW-CI: A Dynamic Likelihood-Weighted Cooperative Infotaxis approach for multi-drone cooperative multi-source search","authors":"Bin Chen ,&nbsp;Xiaoran Zhang ,&nbsp;Yatai Ji ,&nbsp;Yong Zhao ,&nbsp;Zhengqiu Zhu","doi":"10.1016/j.jnlssr.2025.04.001","DOIUrl":"10.1016/j.jnlssr.2025.04.001","url":null,"abstract":"<div><div>Drones have gradually been employed to search for unknown sources during leakage accidents. However, current studies have mainly focused on the single-source search problem, while in practical situations, the location and quantity of the sources are commonly unknown. Existing multi-source search methods fail to accurately estimate the source term, primarily due to the inefficient utilization of concentration information. This limitation results in sub-optimal drone movement strategies. To address these issues, we propose a Dynamic Likelihood-Weighted Cooperative Infotaxis (DLW-CI) approach. The approach integrates the Infotaxis cognitive search strategy with multi-drone cooperation by optimizing both source term estimation and the cooperative mechanism. Specifically, we devise a novel source term estimation method that leverages multiple parallel particle filters, with each filter estimating the parameters of a potentially unknown source in scenarios. Subsequently, we introduce a cooperative mechanism based on dynamic likelihood weight to prevent multiple drones from concurrently estimating and searching for the same source. The results show that the success rate for the localization of 2–4 diffusion sources reaches 90%, 78%, and 42% respectively when employing the DLW-CI approach, achieving a 37% average improvement over baseline methods. Our findings indicate that the proposed DLW-CI approach significantly improves estimation accuracy and search efficiency for multi-drone cooperative multi-source search, making a valuable contribution to environmental safety monitoring applications.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 3","pages":"Article 100206"},"PeriodicalIF":3.7,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144313631","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":"2025-04-11","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":"Quantitative resilience assessment on critical infrastructures – A systematic literature review of the last decade (2014-2024)","authors":"Andrea De Marco ,&nbsp;Davide Berardi ,&nbsp;Marta Galuppi ,&nbsp;Mara Lombardi","doi":"10.1016/j.jnlssr.2025.02.002","DOIUrl":"10.1016/j.jnlssr.2025.02.002","url":null,"abstract":"<div><div>The everyday functioning of infrastructures and the capacity of their owners to provide high-quality services are critical to the well-being of communities and societies. When disruptions endanger society's well-being, security, and economy, some of these infrastructures are relevant and, as a result, are designated as critical for an entire nation. Therefore, research has focused on a peculiar infrastructure ability, or capacity, that summarizes these concepts in one word: resilience; its quantification, however, is not straightforward. Many authors have attempted to assess resilience using different subjects, infrastructures, resilience phases, and models. Therefore, through a systematic literature review based on the PRISMA protocol, this work presents an overview of quantitative methods and techniques developed over the past decade to numerically assess the resilience of critical infrastructures (CIs). A total of 111 papers were included in the study, which focused on studies published between April 2014 and April 2024. This article focuses on a model-based classification, highlighting strengths and weaknesses in the proposed methodologies, and performs a SWOT analysis on the modeling approaches identified within the retrieved papers. Future works could be useful to extend this research to those papers that describe and quantify single domains, stages, and features of CIs resilience, exploring the possibility of searching protocols to identify and correctly address them.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 3","pages":"Article 100201"},"PeriodicalIF":3.7,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144633751","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}