Safety SciencePub Date : 2026-05-01Epub Date: 2026-01-19DOI: 10.1016/j.ssci.2026.107116
Meng Wei , Ying Cui , Jiaguo Liu
{"title":"Unveiling the influencing factors of maritime accidents through data-driven approaches: leveraging large language model tools","authors":"Meng Wei , Ying Cui , Jiaguo Liu","doi":"10.1016/j.ssci.2026.107116","DOIUrl":"10.1016/j.ssci.2026.107116","url":null,"abstract":"<div><div>This study investigates the influencing factors of maritime accidents using a data-driven approach integrated with large language models (LLMs). First, DeepSeek V3 is utilized to extract data on humans, vessels, management, environment, time, and space from maritime accident reports. Second, the N-K model is applied to analyze coupled risks, revealing that the coupled risk value of the four factors is the highest, with humans, vessels, and management being key factors, while the environmental factor exerts a significant impact in specific accidents. Further spatiotemporal analysis indicates phased temporal risks and spatially aggregated coastal risks. A significant nonlinear superposition effect is identified: high spatial risk amplifies the marginal contribution of temporal risk increases, while low-level coupling significantly reduces overall risk. The study culminates in proposing a dynamic collaborative governance framework. This framework leverages an integrated cognitive architecture, powered by LLMs, to transform unstructured data into actionable risk intelligence, enabling graduated intervention protocols and optimized resource allocation for enhanced maritime safety management.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"197 ","pages":"Article 107116"},"PeriodicalIF":5.4,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145993595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Safety SciencePub Date : 2026-05-01Epub Date: 2026-02-05DOI: 10.1016/j.ssci.2026.107138
Mohamad Iyad Al-Khiami , Søren Munch Lindhard
{"title":"Field comparison of rigid and soft passive back-support exoskeletons: physical exertion, comfort, and adoption among masonry workers","authors":"Mohamad Iyad Al-Khiami , Søren Munch Lindhard","doi":"10.1016/j.ssci.2026.107138","DOIUrl":"10.1016/j.ssci.2026.107138","url":null,"abstract":"<div><div>Musculoskeletal disorders affect 46% of construction workers, causing major economic and organizational challenges. Despite the promise of wearable exoskeletons for mitigating strain, limited on-site comparative research exists, particularly across distinct designs. This study addresses that gap by evaluating two back-support exoskeletons, HAPO Back (rigid) and BISKO (soft textile-based), in realistic masonry tasks. Fifteen masons from five sites tested both exoskeletons over two days through structured interviews, yielding noticeable strain reductions relative to baseline conditions. BISKO reduced perceived fatigue by 50.53% and perceived exertion by 32.57%, outperforming HAPO’s 27.39% and 14.76% reductions, respectively. BISKO also excelled in comfort (35.94% better) and adjustability (49.11% better), resulting in significantly less movement hindrance. Contrasting acceptance patterns emerged: HAPO users reported a 158% drop in continued-use willingness, whereas BISKO showed only an 8.52% decline. Correlation analysis highlighted movement hindrance (r = 0.79) and adjustability (r = 0.76) as stronger predictors of ongoing use than physical benefits alone. These findings underscore the importance of lightweight, worker-friendly designs that integrate well with dynamic construction tasks. This research challenges conventional exoskeleton development that focuses primarily on mechanical load reduction. The field-based approach provides insights under actual working conditions, offering practical guidelines for future product development and adoption strategies. Ultimately, prioritizing comfort and usability emerges as a decisive factor for sustained exoskeleton usage, reinforcing the critical role of human-centered designs for construction ergonomics. Such emphasis is especially crucial for masons, whose tasks involve varied postures and material handling. Future studies should expand these comparisons to other trades to refine exoskeleton design guidelines.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"197 ","pages":"Article 107138"},"PeriodicalIF":5.4,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Safety SciencePub Date : 2026-05-01Epub Date: 2026-02-07DOI: 10.1016/j.ssci.2026.107131
Long Ding, Zixuan Cui, Qiang Ma, Jie Ji
{"title":"An improved risk assessment methodology for domino effect considering competing failure-induced performance degradation of active safety barriers","authors":"Long Ding, Zixuan Cui, Qiang Ma, Jie Ji","doi":"10.1016/j.ssci.2026.107131","DOIUrl":"10.1016/j.ssci.2026.107131","url":null,"abstract":"<div><div>Safety barriers are important means to prevent and mitigate the domino effect in chemical industrial parks, and their performance may deteriorate due to aging or accidents. Existing studies on safety barrier performance degradation rarely consider the impact of those accidents, which may not be accurate enough to assess the performance of safety barriers. To accurately assess the effect of safety barrier performance degradation on the accidents, an improved risk assessment methodology for domino effect considering competing failure-induced performance degradation of safety barriers. In order to quantitatively describe the performance degradation of safety barrier under the joint influence of natural degradation and explosion shock, a competing failure model is constructed to characterize the availability of active safety barriers. A probabilistic evaluation method based on event tree is used to combine the dynamic availability of water deluge system with the event tree, and the frequency of domino accidents is evaluated quantitatively considering the maintenance situation. The proposed methodology is applied to a case study and compares with previous methods, demonstrating that the competing failure-induced performance degradation of safety barriers will increase the frequency of domino accidents. In addition, sensitivity analysis is performed on parameters related to safety barrier performance and maintenance strategies to provide guidance for improving the reliability of safety barriers.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"197 ","pages":"Article 107131"},"PeriodicalIF":5.4,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Safety SciencePub Date : 2026-05-01Epub Date: 2026-01-22DOI: 10.1016/j.ssci.2026.107120
Yuanyuan Lai , Sihua Chen , Gantao Li , Zhiqiang Wang , Bolin Wang
{"title":"Double-edged effects of work task stress on safety performance: a cognitive appraisal perspective","authors":"Yuanyuan Lai , Sihua Chen , Gantao Li , Zhiqiang Wang , Bolin Wang","doi":"10.1016/j.ssci.2026.107120","DOIUrl":"10.1016/j.ssci.2026.107120","url":null,"abstract":"<div><div>In high-risk industries, enhancing employees’ safety performance remains a central concern for both practitioners and scholars. However, evidence on the effects of work task stress is inconsistent: some studies suggest that stress can motivate better safety performance, whereas others provide evidence that the accumulation of industry-inherent pressures and role demands undermines it. This debate underscores uncertainty about the mechanisms through which work task stress influences safety outcomes, particularly the role of cognitive appraisals. Building on cognitive appraisal theory and the job demands-resources (JD-R) model, we propose a dual-pathway mediation model in which work task stress influences safety compliance and safety participation through two competing appraisal processes. A field survey of 308 frontline employees in high-risk industries reveals that work task stress exhibits double-edged effects: it improves both safety compliance and safety participation through challenge appraisals while simultaneously diminishing them through hindrance appraisals. Moreover, vocational identity significantly attenuates the hindrance pathway but does not reliably enhance the positive effects of challenge appraisals. This research challenges the traditional either-or assumption of stress appraisals by adopting a dual-pathway framework, which offers a new lens for explaining the mechanisms linking stress to safety performance in safety critical contexts. Simultaneously, the asymmetric moderating effect of vocational identity enriches theoretical understanding of the distinct functions of personal resources in the JD-R model.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"197 ","pages":"Article 107120"},"PeriodicalIF":5.4,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Safety SciencePub Date : 2026-05-01Epub Date: 2026-01-21DOI: 10.1016/j.ssci.2026.107113
Isabella Fernandes , Floris Goerlandt , Mohammed Zarrin Mehr , Robert Brown , Ronald Pelot
{"title":"A discrete event simulation model approach for probabilistic estimates of helicopter search and rescue times to maritime incidents in the Canadian Arctic","authors":"Isabella Fernandes , Floris Goerlandt , Mohammed Zarrin Mehr , Robert Brown , Ronald Pelot","doi":"10.1016/j.ssci.2026.107113","DOIUrl":"10.1016/j.ssci.2026.107113","url":null,"abstract":"<div><div>Search and Rescue (SAR) is important to ensure human safety in remote locations, for instance in Arctic areas, which experience increasing maritime shipping due to climate change impacts. With time being an essential factor in successful SAR operations, emergency response planners and ship operators need realistic estimates of the time needed to reach people in distress and complete rescue missions. Given the lack of comprehensive methods for this purpose, this article presents a model to estimate the time to complete SAR missions in the Canadian Arctic using helicopter assets. Designed as a Discrete Event Simulation (DES) model and based on an extensive consultation process, the model accounts for key factors such as incident locations, helicopter routes, refueling needs, and the number of people in distress. An essential component concerns the assessment of the SAR helicopter’s operability under various environmental conditions. With the SAR helicopter DES model embedded in a Monte Carlo simulation framework, and using statistics derived from environmental data, probabilistic estimates of rescue times are obtained for various plausible maritime incidents, illustrating the applicability of the model. The results indicate that SAR response times are highly variable for different locations and seasons, with SAR mission times exceeding 24 h not uncommon. Whereas the model should be further validated and can be refined and extended, it sets a basis for enabling a comprehensive strategic assessment of the performance of aeronautical SAR systems.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"197 ","pages":"Article 107113"},"PeriodicalIF":5.4,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Safety SciencePub Date : 2026-05-01Epub Date: 2026-02-07DOI: 10.1016/j.ssci.2026.107141
Julia Altheimer, Johannes Schneider
{"title":"VibrationLLM: Enabling personalized risk management for hand-arm vibration exposure in construction","authors":"Julia Altheimer, Johannes Schneider","doi":"10.1016/j.ssci.2026.107141","DOIUrl":"10.1016/j.ssci.2026.107141","url":null,"abstract":"<div><div>In the construction sector, the long-term use of high-vibration power tools poses a severe risk for workers to suffer from work-related musculoskeletal disorders. Research shows the feasibility of recognizing and quantifying risky activities but lacks interactive solutions for personalized and effective risk management. To this end, Large Language Models (LLMs) offer promising opportunities. We introduce VibrationLLM, an LLM-based system design, aiming to mitigate risks from hand-arm vibration exposure. VibrationLLM delivers personalized and effective risk identification and recommendations for risk mitigation following regulatory guidelines. We assessed VibrationLLM using an expert group and 34 users familiar with construction. We conclude that VibrationLLM is not only able to enable reactive risk management by providing vibration exposure determination and education, but it also succeeds in proactive risk management by supporting activity planning. This research contributes to the advancement of innovative technologies combining LLMs, personal data, and regulatory requirements to enhance health and safety at construction sites.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"197 ","pages":"Article 107141"},"PeriodicalIF":5.4,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Safety SciencePub Date : 2026-05-01Epub Date: 2026-02-02DOI: 10.1016/j.ssci.2026.107133
Bin Yang , Jinming Hu , Xin Meng , Congjun Wang , Xiaopeng Wang
{"title":"Knowledge graphs in smart construction safety management: A systematic review","authors":"Bin Yang , Jinming Hu , Xin Meng , Congjun Wang , Xiaopeng Wang","doi":"10.1016/j.ssci.2026.107133","DOIUrl":"10.1016/j.ssci.2026.107133","url":null,"abstract":"<div><div>The construction industry continues to face safety challenges stemming from its complex and dynamic environment, which generates large volumes of underutilized heterogeneous data. Although knowledge graphs (KGs) offer a promising approach to structured representation and reasoning in smart construction safety management (SCSM), existing reviews fall short in analyzing KG-specific attributes, methodologies, and future-oriented implementation pathways. To address these gaps, this study systematically reviews 70 articles using a mixed-methods approach that integrates bibliometric and thematic analysis. Key findings include: (1) SCSM-specific KGs remain limited in scale, largely due to domain-specific constraints; (2) they primarily draw on safety regulations, accident reports, project data, and BIM; and (3) KG construction remains semi-automated, with high-level concept extraction still reliant on expert input. KGs are found to support four main applications: accident analysis, hazard identification, decision support, and safety knowledge management. Methodologically, KGs integrate with technologies such as BIM, digital twins, natural language processing, and computer vision to enhance safety performance analysis and decision-making. Nevertheless, challenges in automation, data integration, dynamic risk inference, and generalizability persist. This review contributes a synthesized analysis of KG traits and their alignment with SCSM needs, highlights research gaps in scalability and technology integration, and suggests future pathways combining advanced AI with novel KG paradigms. It aims to offer structured guidance for researchers and practitioners in advancing KG-enabled safety management.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"197 ","pages":"Article 107133"},"PeriodicalIF":5.4,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Safety SciencePub Date : 2026-05-01Epub Date: 2026-02-05DOI: 10.1016/j.ssci.2026.107130
Burcu Türkcan , Osman Sami Kırtıloğlu , Tuğba Eskişar , Gül Ş. Huyugüzel Kışla , Gülçin Güreşçi , Özge Kozal
{"title":"Two decades of NaTech research: a multi-layered bibliometric exploration","authors":"Burcu Türkcan , Osman Sami Kırtıloğlu , Tuğba Eskişar , Gül Ş. Huyugüzel Kışla , Gülçin Güreşçi , Özge Kozal","doi":"10.1016/j.ssci.2026.107130","DOIUrl":"10.1016/j.ssci.2026.107130","url":null,"abstract":"<div><div>Natural hazard-triggered technological disasters (NaTech) have emerged as a complex research domain at the intersection of industrial safety, systemic risk, and environmental hazards. Such accidents increase the human and environmental impacts of natural hazards and also cause serious economic losses. Although researchers mainly focus on the direct impacts of natural hazards, cascading effects of NaTech events have been realized recently in the literature. This study provides a comprehensive bibliometric analysis of NaTech-related literature from 2004 to 2024 using data retrieved from the Scopus database. A total of 371 journal articles were analyzed using a multi-method approach that integrates keyword co-occurrence mapping, modularity-based clustering, structured, expert-guided reference chaining, citation burst detection, and sentiment trend profiling. The results reveal nine thematic clusters, with strong research focus on earthquake-induced accidents, cascading effects, and quantitative risk modeling. While traditional hazard-specific topics like seismic and flood-induced NaTech events exhibit conceptual maturity, clusters related to systemic risk and governance appear to be emerging research frontiers. Citation burst analysis identifies turning-point publications aligned with real-world NaTech events such as the 2011 Fukushima disaster and the COVID-19 pandemic. Sentiment analysis further illustrates a temporal shift in academic tone—from reactive, risk-focused discourse to more resilience-oriented and regulatory narratives. This study fills a methodological gap by integrating structural, conceptual, and emotional layers of analysis, providing a more holistic understanding of the NaTech knowledge landscape. The findings offer a basis for more informed and anticipatory approaches to future research in the field.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"197 ","pages":"Article 107130"},"PeriodicalIF":5.4,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Safety SciencePub Date : 2026-05-01Epub Date: 2026-01-24DOI: 10.1016/j.ssci.2026.107129
Xiaodong Ji , Yi Su , Chuanshen Qin
{"title":"The operation of hub-type emergent organizations and their effect on the resilience of emergency response networks: A case study of flood disaster in China","authors":"Xiaodong Ji , Yi Su , Chuanshen Qin","doi":"10.1016/j.ssci.2026.107129","DOIUrl":"10.1016/j.ssci.2026.107129","url":null,"abstract":"<div><div>Hub-type emergent organizations (HTEOs) are situated at the intersection of planned and emergent network interactions. Drawing on the theory of social capital (SC), this study attempts to examine the operation of HTEOs and their effect on the resilience of emergency response networks. Specifically, using the 2021 Zhengzhou rainstorm as a case study, this study constructs information and resource networks in different emergency response stages. The data come from content analysis of news articles from multiple sources and semi-structured interviews with experienced personnel. This study then employs the brokerage role analysis method and the edge removal method, respectively, to investigate how HTEOs collaborate with other organizations through SC and how different forms of SC influence the resilience of the emergency response networks. Findings show that HTEOs primarily participate in ERNs by bridging SC, which negatively affects ERN resilience. Bonding SC enhances resource network resilience but is redundant for information networks. Linking SC has a phased positive effect on ERN resilience, reflected in the immediate response phase. According to the difference of interorganizational collaborative activities and emergency response stages, this study provides insights on how to strategically use different forms of SC between HTEOs and other organizations to promote the integration of planned and emergent networks and design resilient emergency response networks.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"197 ","pages":"Article 107129"},"PeriodicalIF":5.4,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Safety SciencePub Date : 2026-05-01Epub Date: 2026-02-03DOI: 10.1016/j.ssci.2026.107111
Song Lu , Jieyu Chen , Nan Li , Zhenan Feng , Milad Haghani , Ruggiero Lovreglio
{"title":"Investigating exit choices in fire evacuation using multi-user virtual reality experiments","authors":"Song Lu , Jieyu Chen , Nan Li , Zhenan Feng , Milad Haghani , Ruggiero Lovreglio","doi":"10.1016/j.ssci.2026.107111","DOIUrl":"10.1016/j.ssci.2026.107111","url":null,"abstract":"<div><div>Understanding exit choice behavior during evacuations is critical for enhancing safety and efficiency in real-life emergencies. Individual, social and environmental factors can significantly influence group decision-making during evacuations. While a substantial amount of research has focused on individual exit choice behaviors, very few studies have investigated how group decision-making is affected by various factors during emergencies, especially when group splitting occurs. This study investigates the impacts of individual, social, and environmental factors on both individual and group exit choice decision-making, using a multi-user virtual reality (VR) setup that simulates fire evacuation scenarios. We conducted experiments with 127 participants, organized in groups ranging from 1 to 4 group members. We observed a clear tendency for 2-, 3-, and 4-person groups to split into smaller units during evacuations, with 2-person subgroups being the most common and larger groups showing a higher likelihood of splitting. Then, a discrete choice model was used to analyze the effects of various social, individual and environmental factors on the participants’ exit choices. The results showed that participants were not only influenced by the factors significant in individual decision-making, such as distance to exits, familiarity with exits, and smoke, but also by the choices of other group members, demonstrating a strong social influence. Additionally, the impact of smoke was more pronounced in subgroup settings. This research highlights the significant differences between decision-making at the individual and subgroup levels during fire evacuations, providing insights for developing more sophisticated evacuation simulation models and building safety management protocols.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"197 ","pages":"Article 107111"},"PeriodicalIF":5.4,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}