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Unveiling the influencing factors of maritime accidents through data-driven approaches: leveraging large language model tools 通过数据驱动的方法揭示海上事故的影响因素:利用大型语言模型工具
IF 5.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-01-19 DOI: 10.1016/j.ssci.2026.107116
Meng Wei , Ying Cui , Jiaguo Liu
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.
本研究采用数据驱动的方法与大型语言模型(llm)相结合,探讨了海上事故的影响因素。首先,利用DeepSeek V3从海上事故报告中提取人员、船舶、管理、环境、时间和空间等数据。其次,运用N-K模型对耦合风险进行分析,发现4个因素的耦合风险值最高,其中人、船舶和管理是关键因素,而环境因素对具体事故的影响较大。进一步的时空分析表明,分阶段的时间风险和空间聚集的沿海风险。高空间风险放大了时间风险边际贡献的增加,而低耦合显著降低了总体风险。该研究最终提出了一个动态协作治理框架。该框架利用由法学硕士提供支持的集成认知架构,将非结构化数据转换为可操作的风险情报,实现分级干预协议和优化资源分配,以增强海上安全管理。
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引用次数: 0
A scoping review of organizational resilience measurement – instruments, indicators, and implications 组织弹性测量的范围综述——工具、指标和含义
IF 5.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-01-15 DOI: 10.1016/j.ssci.2026.107114
Hsuan-Hao Lo , Sheuwen Chuang , Cheng-Yu Lin
As organizations navigate an era of unprecedented disruption, organizational resilience has emerged as a critical capability, prompting corresponding growth in instruments for its measurement. This paper explores the organizational resilience measurement (ORM) literature through a scoping review, systematically mapping the origins, evolution, and features of its primary instruments. We searched three academic databases (Scopus, Web of Science, PubMed) for literature published through February 2025, augmented by a manual review of seminal publications, yielding a final corpus of 55 articles. Our findings indicate a field dominated by two instruments: the Resilience Assessment Grid (RAG) (49.1%) and the Benchmark Resilience Tool (BRT) (20.0%). Application of these tools is highly concentrated, with the healthcare sector accounting for 36.4% of studies. Comparative analysis reveals that the two dominant tools represent distinct philosophical approaches: RAG offers contextual, in-depth diagnosis of system potentials, while BRT provides standardized, cross-organizational benchmarking of organizational management. The study concludes that the ORM field may be maturing and consolidating around a two-paradigm model, raising intriguing questions about whether sequential integration of these instruments could offer advantages beyond their individual applications.
随着组织在一个前所未有的颠覆时代中航行,组织弹性已经成为一种关键能力,促使其测量工具的相应增长。本文通过对组织弹性测量(ORM)的范围回顾,系统地描绘了其主要工具的起源、演变和特征,探索了ORM的文献。我们检索了三个学术数据库(Scopus, Web of Science, PubMed),检索了截至2025年2月发表的文献,并通过对开创性出版物的人工审查进行了扩充,最终获得了55篇文章的语料库。我们的研究结果表明,该领域由两种工具主导:弹性评估网格(RAG)(49.1%)和基准弹性工具(BRT)(20.0%)。这些工具的应用高度集中,医疗保健部门占研究的36.4%。对比分析表明,这两种主要工具代表了不同的哲学方法:RAG提供了对系统潜力的情境性、深度诊断,而BRT提供了组织管理的标准化、跨组织基准。该研究的结论是,ORM领域可能正在围绕两范式模型走向成熟和巩固,这提出了一个有趣的问题,即这些工具的顺序集成是否可以提供超越其单独应用的优势。
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引用次数: 0
The three chairs: How the leaders of risk standards committees influence decision-making and accountability 三个主席:风险标准委员会的领导人如何影响决策和问责制
IF 5.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-01-14 DOI: 10.1016/j.ssci.2025.107109
Jan Hayes , Martin Inge Standal , Kristine Vedal Størkersen , Sarah Maslen
Standardization committees and their chairs sit at the center of standard development, and have influence over the standards’ scope, level of ambition, and framing. However, little is known about how the standard chairs themselves conceptualize and develop the standards. Situated in the literature on standardization and riskwork, we address what standard chairs see as the primary purpose of the standard for which they are responsible, how they conceptualize the usage of the standard, and the implications of their practice for risk management in general. We adopted a collated fieldwork approach, drawing together semi-structured interviews from two studies to look at the accounts of three standard chairs in Australia (AS 2885.6) and Norway (NORSOK Z-013 and NS 5814). We show how all chairs seek to influence the riskwork of direct users of the standards and senior managers. The chairs also emphasize the importance of expert judgement and reflecting on the inherent uncertainty in risk analyses. Chairs view the standards as frameworks rather than prescriptive methods. A good standard thus enables expert judgement, management decision making, and local adaptations while also establishing a rigorous process in risk management. This has implications for selection of standard chairs and for theoretical considerations of what it means to standardize.
标准化委员会及其主席处于标准制定的中心,对标准的范围、目标水平和框架都有影响。然而,关于标准椅子本身是如何概念化和发展标准的,人们知之甚少。在标准化和风险工作的文献中,我们讨论了标准主席认为他们负责的标准的主要目的是什么,他们如何概念化标准的使用,以及他们对风险管理实践的一般含义。我们采用了整理的实地调查方法,将来自两项研究的半结构化访谈汇总在一起,以查看澳大利亚(AS 2885.6)和挪威(NORSOK Z-013和NS 5814)三种标准椅子的账目。我们展示了所有主席如何试图影响标准的直接使用者和高级管理人员的风险工作。主席们还强调专家判断和考虑风险分析中固有的不确定性的重要性。主席们将这些标准视为框架,而不是规定性的方法。因此,一个好的标准可以使专家判断、管理决策和地方适应成为可能,同时也可以在风险管理中建立严格的过程。这对标准椅子的选择和标准化的理论考虑都有影响。
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引用次数: 0
Differential cognitive control in response to task severity during technologically-induced concurrent multitasking: The role of risk awareness in ICU nurses 在技术诱导的并发多任务处理中,不同的认知控制对任务严重程度的反应:风险意识在ICU护士中的作用
IF 5.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-01-13 DOI: 10.1016/j.ssci.2026.107112
Huiling Hu , Tingting Feng , Hui Ge , Jiashuai Li , Xue Wu , Xuanna Wu

Objective

To investigate how novice Intensive Care Unit (ICU) nurses engage cognitive control mechanisms when managing multitasking conflicts of differing severity, and how risk awareness modulates these processes.

Background

Digital transformation in healthcare has introduced more technological systems into ICUs, heightening multitasking demands and cognitive load. Novice nurses, lacking well-developed clinical schemas, rely more on executive control. Understanding how cognitive control is deployed—and how individual risk awareness shapes these processes—is essential for safeguarding patient safety in high-risk environments.

Design

EEG-based experimental study.

Methods

Twenty-six novice ICU nurses participated in a simulated technologically-induced multitasking paradigm. Behavioral accuracy, response times, and EEG measures (P1/P3 components, oscillatory power in alpha, beta, and theta bands) were recorded. Risk awareness was assessed via self-report scales.

Results

Nurses achieved higher accuracy in high-severity tasks, though response times did not differ significantly. ERP analyses showed significantly lower P1 peak amplitudes for high-severity tasks, particularly among nurses with higher risk awareness. Time–frequency analyses revealed greater alpha, beta, and theta power during low-severity tasks, suggesting increased cognitive flexibility under lower demands. Significant task severity × risk awareness interactions indicated that individuals with higher risk awareness deployed more targeted neural resources under high-severity conditions.

Conclusions

Task severity and individual risk awareness jointly shape cognitive control in technologically mediated multitasking among novice ICU nurses. These findings highlight the importance of integrating neurocognitive evidence into simulation-based training and interface design to strengthen nurses’ attentional management, reduce error risks, and enhance patient safety in the digital age of healthcare.
目的探讨新入职重症监护室(ICU)的护士在处理不同严重程度的多任务冲突时如何运用认知控制机制,以及风险意识如何调节这些过程。医疗保健领域的数字化转型为icu引入了更多的技术系统,提高了多任务处理需求和认知负荷。新手护士缺乏完善的临床模式,更多地依赖于执行控制。了解认知控制是如何部署的,以及个人风险意识如何影响这些过程,对于在高风险环境中保护患者安全至关重要。基于设计eg的实验研究。方法采用模拟技术诱导的多任务处理范式对26名ICU护士进行研究。记录行为准确性、反应时间和脑电图测量(P1/P3分量,α、β和θ波段的振荡功率)。通过自我报告量表评估风险意识。结果护士对高难度任务的准确率较高,但反应时间差异不显著。ERP分析显示,高严重性任务的P1峰幅度明显较低,特别是在风险意识较高的护士中。时间-频率分析显示,在低强度的任务中,α、β和θ能量更大,这表明在低要求下,认知灵活性更高。显著的任务严重性与风险意识交互作用表明,高风险意识的个体在高严重性条件下部署了更多有针对性的神经资源。结论任务严重程度和个体风险意识共同影响了ICU新手护士在技术介导的多任务处理中的认知控制。这些发现强调了将神经认知证据整合到基于模拟的培训和界面设计中的重要性,以加强护士的注意力管理,减少错误风险,并提高医疗保健数字时代的患者安全。
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引用次数: 0
Describing psychosocial risk in the Mexican working population by sex, generation, and industry: a cross-sectional study 按性别、代际和行业描述墨西哥工作人口的心理社会风险:一项横断面研究
IF 5.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-01-10 DOI: 10.1016/j.ssci.2025.107105
Courtney T Blondino , Karla M Téllez , Noémie Le Pertel , Ariel Joab Almazan , Lorna Friedman

Objectives

Psychosocial risk or work-related hazard can lead to harmful individual and organizational outcomes. This study used 2023 data collected in compliance with Mexico’s NOM-035-STPS-2018 regulation to characterize overall psychosocial risk by sex, generation, industry, and explore domain-specific psychosocial risk by industry.

Methods

Frequencies (n) and percentages (%) were reported to describe the distribution of psychosocial risk. Significant difference testing was done with the chi-square statistic to test for differences in overall psychosocial risk by risk factor (α < 0.05).

Results

Data from 58,994 employees from 67 organizations operating in Mexico that implemented NOM-035-STPS-2018 in 2023 were included. Approximately 27% of the sample had high or very high overall psychosocial risk. Males had significantly higher psychosocial risk than females (28.3% vs 25.5%, p < 0.05) and there was no difference in psychosocial risk by generation. The construction, energy, and manufacturing industry had the highest level of psychosocial risk for lack of control over work (29.8%), leadership (20.5%), violence (12.8%), performance recognition (12.3%), working conditions (13.0%), and work relationships (3.5%) relative to the other four industry categories.

Conclusions

NOM-035 presents a unique opportunity to explore psychosocial risk in Mexico’s employees. In 2023, there was no difference in psychosocial risk by generation, and psychosocial risk was highest in workers of blue-collar industries. More research is needed to further explore these associations to inform interventions for employers and regulatory bodies.
目的社会心理风险或与工作相关的危害可能导致有害的个人和组织结果。本研究使用符合墨西哥NOM-035-STPS-2018法规的2023年数据,按性别、年龄、行业划分整体社会心理风险特征,并按行业探索特定领域的社会心理风险。方法报告频率(n)和百分比(%)来描述心理社会风险的分布。采用卡方统计检验各危险因素对整体心理社会风险的差异(α < 0.05)。结果包括来自67家在墨西哥运营的组织的58,994名员工的数据,这些组织在2023年实施了nom -035- stp -2018。大约27%的样本具有高或非常高的整体社会心理风险。男性的社会心理风险显著高于女性(28.3% vs 25.5%, p < 0.05),而社会心理风险在代际上没有差异。相对于其他四个行业类别,建筑、能源和制造业在缺乏对工作的控制(29.8%)、领导(20.5%)、暴力(12.8%)、绩效认可(12.3%)、工作条件(13.0%)和工作关系(3.5%)方面的社会心理风险水平最高。结论:som -035为探索墨西哥雇员的社会心理风险提供了一个独特的机会。在2023年,各代人的社会心理风险没有差异,蓝领行业的社会心理风险最高。需要更多的研究来进一步探索这些关联,为雇主和监管机构的干预提供信息。
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引用次数: 0
Development of an evacuation transport model for residents in need of assistance in evacuation during nuclear disasters 为核灾难中需要援助的居民开发疏散运输模型
IF 5.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-01-10 DOI: 10.1016/j.ssci.2026.107110
Haruka Ohba , Shinya Mizuno
This study proposes a mathematical optimization model based on the Capacitated Vehicle Routing Problem to support the efficient transport of ”Residents in Need of Assistance in Evacuation” — such as the elderly and persons with disabilities — during nuclear disasters. The target area is Omaezaki City, Shizuoka Prefecture in Japan, where geographic open data — including census data, elevation data from the Geospatial Information Authority of Japan, and OpenStreetMap — were integrated to construct realistic road networks reflecting road accessibility during disasters. In particular, assuming tsunami-induced road flooding, we evaluated the impact of elevation-based road access restrictions on evacuation plans and identifying Residents in Need of Assistance in Evacuation in areas difficult to access. The model was optimized using both a Mixed-Integer Linear Programming approach and a genetic algorithm, and the results showed that Gurobi outperformed Genetic Algorithm in terms of both solution quality and computation time. The proposed model enables the quantitative identification of regions with limited accessibility based on the spatial distribution of home-based Residents in Need of Assistance in Evacuation and terrain characteristics, providing a practical decision support framework for local governments in disaster response planning and resource allocation.
本研究提出一种基于有能力车辆路径问题的数学优化模型,以支持在核灾难中“疏散需要帮助的居民”(如老年人和残疾人)的高效运输。目标区域是日本静冈县大前崎市,在该地区,地理开放数据(包括人口普查数据、日本地理空间信息管理局的高差数据和OpenStreetMap)被整合,以构建反映灾害期间道路可达性的现实道路网络。特别是,假设海啸引起的道路洪水,我们评估了基于海拔的道路通道限制对疏散计划的影响,并确定了在难以进入的地区需要帮助的疏散居民。采用混合整数线性规划方法和遗传算法对模型进行优化,结果表明,Gurobi在求解质量和计算时间上都优于遗传算法。该模型能够基于居家疏散救助居民的空间分布和地形特征,定量识别可达性受限的区域,为地方政府进行灾害应对规划和资源配置提供实用的决策支持框架。
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引用次数: 0
The functional resonance analysis method in healthcare: How knowledge is produced within and across scientific communities 医疗保健中的功能共振分析方法:如何在科学界内部和跨科学界产生知识
IF 5.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-01-09 DOI: 10.1016/j.ssci.2025.107106
O. Lounsbury , L. Pickup , Riccardo Patriarca , Marit S. de Vos , Kate Preston , Mark Sujan
The Functional Resonance Analysis Method (FRAM) is a valuable tool for understanding and improving complex socio-technical healthcare systems. This Focused Mapping Review and Synthesis (FMRS) explores how the FRAM is used to produce knowledge and create insight about healthcare systems across three scientific communities: safety/engineering, human factors/cognitive science, and healthcare/health services research. We examined 33 included studies and identified key themes in how FRAM is applied within and across communities. The review highlights the critical role of knowledge brokers and boundary spanners in fostering interdisciplinary collaboration and knowledge transfer. There is limited epistemological clarity in most studies, which complicates cross-study comparisons and practical application. In addition, most studies are descriptive and do not develop actionable and robust interventions. We argue for greater transparency in epistemological positioning, methodological reflexivity, and the development of reporting guidelines to enhance the consistency and utility of FRAM studies. This review is a conceptual synthesis rather than a proof of concept. Future empirical studies should test whether explicit articulation of epistemological assumptions improves FRAM analyses, using the probes identified in this review as a starting point.
功能共振分析方法(FRAM)是理解和改善复杂的社会技术医疗保健系统的宝贵工具。本研究探讨了FRAM如何在三个科学领域(安全/工程、人为因素/认知科学和医疗保健/卫生服务研究)中产生关于医疗保健系统的知识和见解。我们检查了33项纳入的研究,并确定了FRAM如何在社区内部和跨社区应用的关键主题。这篇综述强调了知识中介和边界跨越者在促进跨学科合作和知识转移方面的关键作用。大多数研究的认识论清晰度有限,这使得交叉研究比较和实际应用变得复杂。此外,大多数研究都是描述性的,没有制定可行的和强有力的干预措施。我们主张在认识论定位、方法反思性和报告指南的制定方面提高透明度,以提高FRAM研究的一致性和实用性。这篇综述是一个概念性的综合,而不是一个概念的证明。未来的实证研究应该测试认识论假设的明确表达是否可以改善FRAM分析,使用本综述中确定的探针作为起点。
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引用次数: 0
A maturity model for accident investigation: beyond technical and functional analysis 事故调查的成熟度模型:超越技术和功能分析
IF 5.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-01-06 DOI: 10.1016/j.ssci.2025.107108
Riana Steen , Stig O. Johnsen
Causality is central to accident investigation, shaping how events are reconstructed, accountability is assigned, and systemic improvements are identified. However, conventional investigations often emphasise procedural and technical sequences, overlooking relational and interpretive dynamics crucial for understanding how systems drift towards failure through the gradual erosion of shared understanding. To examine what this framing may overlook, we revisit the 2018 collision between the Norwegian frigate Helge Ingstad and the tanker Sola TS. We first used FRAM to reconstruct Work-as-Imagined (WAI) and then conducted a sensemaking-informed content analysis to examine Work-as-Done (WAD) based on official reports. While FRAM effectively clarified system function coupling and where variability arose, it offered limited insight into how interpretations diverged or why shared understanding was difficult to sustain. This two-stage analysis revealed critical discrepancies between formal expectations and actual meaning-making. These insights, together with theoretical considerations, informed the development of a four-layer maturity model. The four-layer maturity model, consisting of (i) technical causality, (ii) human performance, (iii) socio-technical interdependencies, and (iv) relational sensemaking grounded in Human Readiness Levels (HRL). This model, with its distinctive fourth analytical layer (iv), shifts attention from functional interactions to how coherence forms—or fails—under pressure. The case was then revisited solely to illustrate how the model reveals relational and interpretive dynamics not captured by functional analysis, thereby avoiding methodological circularity. It highlights silence, saturation, and fragmentation as indicators of a system losing its capacity to adapt its understanding, even when information is available and routines continue.
因果关系是事故调查的核心,它决定了事件如何重构、责任分配和系统改进的确定。然而,传统的调查往往强调程序和技术序列,忽视了关系和解释动力学,这对于理解系统如何通过共同理解的逐渐侵蚀而走向失败至关重要。为了研究这种框架可能忽略的内容,我们重新审视了2018年挪威护卫舰Helge Ingstad与油轮Sola TS之间的碰撞。我们首先使用FRAM重建了工作状态(WAI),然后进行了基于语义的内容分析,以检查工作状态(WAD)基于官方报告。虽然FRAM有效地澄清了系统功能耦合和可变性产生的地方,但它对解释如何分歧或为什么共享理解难以维持提供了有限的见解。这个两阶段的分析揭示了形式期望和实际意义形成之间的关键差异。这些见解,连同理论上的考虑,促成了四层成熟度模型的发展。四层成熟度模型,包括(i)技术因果关系,(ii)人类绩效,(iii)社会技术相互依赖,以及(iv)基于人类准备水平(HRL)的关系意义构建。该模型具有独特的第四个分析层(iv),将注意力从功能相互作用转移到压力下连贯如何形成或失败。然后重新审视这个案例,仅仅是为了说明模型如何揭示了功能分析无法捕捉到的关系和解释动态,从而避免了方法上的循环。它强调沉默、饱和和碎片化是系统失去适应其理解能力的指标,即使在信息可用且常规程序继续的情况下也是如此。
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引用次数: 0
From cumulative exposure to failure: a unifying modelling framework for nonlinear tissue fatigue in ergonomics 从累积暴露到失效:人体工程学中非线性组织疲劳的统一建模框架
IF 5.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-01-02 DOI: 10.1016/j.ssci.2025.107099
Jeff M. Barrett, Jack P. Callaghan
Musculoskeletal injury risk is often assessed using models that assume damage accumulates linearly with loading. However, biological tissues may exhibit history-dependent changes in tolerance, particularly under repeated or variable loading. In this study, we propose a nonlinear cumulative damage model grounded in a mechanistic description of collagen fibril engagement and failure. The model predicts the evolving tissue tolerance over time, with damage rates governed by a Tobolsky-Eyring-type law modulated by prior damage history.
The model was calibrated using experimental fatigue data from functional spinal units and evaluated through a series of simulations designed to reflect common ergonomic exposures. These included constant-load cycling, variable-load sequences, and heavy-tailed loading distributions. Notably, the model predicts that tissue already compromised by prior loading is more susceptible to additional damage, even under identical external conditions—a form of path dependence not captured by the classical Miner-Palmgren rule.
Perturbation analysis reveals that commonly used fatigue models can be recovered as successive approximations of the proposed framework, offering a formal connection between linear cumulative load theory, including ergonomics tools like LiFFT, and our nonlinear formulation. This unifying perspective helps reconcile chronic and acute injury risk models and highlights the importance of accounting for load history and variability in injury risk assessments.
These findings suggest that ergonomic models should be sensitive not only to cumulative load, but also to its temporal structure and variability. Incorporating such nonlinearities could improve predictions of tissue failure and inform guidelines for safer task design.
肌肉骨骼损伤风险通常使用假设损伤随载荷线性累积的模型来评估。然而,生物组织可能表现出耐受性的历史依赖变化,特别是在重复或可变负荷下。在这项研究中,我们提出了一种非线性累积损伤模型,该模型基于胶原纤维结合和失效的机制描述。该模型预测组织耐受性随时间的变化,损伤率由先前损伤历史调节的tobolsky - eyring型定律控制。该模型使用来自功能性脊柱单元的实验疲劳数据进行校准,并通过一系列模拟来评估,这些模拟旨在反映常见的人体工程学暴露。这些包括恒定负荷循环、可变负荷序列和重尾负荷分布。值得注意的是,该模型预测,即使在相同的外部条件下,已经受到先前负荷损害的组织也更容易受到额外的损伤——这是经典的Miner-Palmgren规则没有捕捉到的一种路径依赖形式。扰动分析表明,常用的疲劳模型可以恢复为所提出的框架的连续逼近,提供了线性累积载荷理论(包括人机工程学工具,如LiFFT)与我们的非线性公式之间的正式联系。这种统一的观点有助于调和慢性和急性损伤风险模型,并强调了在损伤风险评估中考虑负荷历史和可变性的重要性。这些发现表明,人体工程学模型不仅应该对累积负荷敏感,而且应该对其时间结构和变异性敏感。结合这种非线性可以改善组织衰竭的预测,并为更安全的任务设计提供指导。
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引用次数: 0
Mapping micro-mobility risk: AI-powered geospatial analysis and predictive modelling 测绘微移动风险:人工智能驱动的地理空间分析和预测建模
IF 5.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-12-29 DOI: 10.1016/j.ssci.2025.107107
Ömer Kaya , Nuriye Kabakuş
Micro-mobility vehicles have rapidly become widespread as a sustainable and practical alternative for urban transportation in recent years. In this study, micro-mobility vehicles refer to traditional bicycles, electric bicycles, and electric scooters, which represent the main categories of such modes involved in traffic crashes in Türkiye. Despite their growing popularity, the safety implications of these vehicles have not yet been fully understood, and comprehensive research addressing crash patterns and associated risk factors is required. To this end, this study employs an artificial intelligence-driven geospatial and statistical methodology. Crash reports involving micro-mobility vehicles in Türkiye between 2015 and 2023 were analysed. Seventeen independent variables and 102 sub-variables were identified and integrated into a GIS environment for spatial analysis. The impact levels of risk factors were assessed using six different Large Language Models (DeepSeek, GEMINI, Perplexity, ChatGPT, Copilot, and Poe). Crash risk maps and corresponding weight values were combined to produce an crash suitability map indicating the potential risk of micro-mobility crashes. Furthermore, the significance of these factors across different collision types was tested using a multinomial logistic regression model. To the best of the authors’ knowledge, this is the first study to apply a macro-scale dataset and an AI-enhanced geospatial decision-making approach to analyse micro-mobility crashes. The findings highlight the need for local governments and urban planners to implement targeted safety measures in regions with high crash potential.
近年来,微型机动车辆作为一种可持续和实用的城市交通替代方案迅速普及。在本研究中,微型交通工具是指传统自行车、电动自行车和电动滑板车,它们代表了日本交通事故中微型交通工具的主要类别。尽管这些车辆越来越受欢迎,但其安全影响尚未得到充分了解,需要对碰撞模式和相关风险因素进行全面研究。为此,本研究采用了人工智能驱动的地理空间和统计方法。研究人员分析了2015年至2023年期间日本境内涉及微型机动车辆的碰撞报告。17个自变量和102个子变量被识别并整合到GIS环境中进行空间分析。使用六种不同的大型语言模型(DeepSeek、GEMINI、Perplexity、ChatGPT、Copilot和Poe)评估风险因素的影响水平。碰撞风险图和相应的权重值相结合,产生碰撞适宜性图,表明微机动碰撞的潜在风险。此外,使用多项逻辑回归模型检验了这些因素在不同碰撞类型中的显著性。据作者所知,这是第一个应用宏观数据集和人工智能增强的地理空间决策方法来分析微交通事故的研究。研究结果强调,地方政府和城市规划者需要在高碰撞潜力地区实施有针对性的安全措施。
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引用次数: 0
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