Safety Science最新文献

An integrated approach to characterizing infrastructure socio-physical impact of hazards to guide mitigation efforts in a community 描述灾害对基础设施社会物理影响的综合方法，以指导社区的减灾工作

IF 5.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2026-01-30 DOI: 10.1016/j.ssci.2026.107118

Yifan Yang , Jie Jiang , Yongsheng Yang , Nan Li , Long Chen , Qiuchen Lu , S. Thomas Ng

Legitimate impact evaluation in a community is a precursor to shed light on mitigation measures and resilience improvement in response to frequently increasing and intensifying hazards. However, prevalent hazard impact assessment in a community usually assesses the degradations of the structural or functional performance of infrastructure systems with limited concentration on their induced societal impacts during hazard events. And the inaccurate characterization of socio-physical impacts contributes to the myopic and incomplete impact mitigation and resilience improvement policymaking. This paper, to fill this gap, proposes an integrated socio-physical impact evaluation model to guide the mitigation efforts and improve resilience in a community, theoretically endorsed by both efficiency-focused and equity-oriented values. The model is composed of three modules: (i) modeling infrastructure operating regime and hazard-induced physical impact by harnessing physics-based approach; (ii) assessing the societal impact due to infrastructure service interruption using socio-based approach; (iii) trade-off analysis of socio-physical impact and the integrated evaluation to guide mitigation efforts using multi-criteria decision-making method. A demonstrative case in Wanchai District, Hong Kong is used to testify the validity of the proposed model. The strength of the model lies in that it achieves a trade-off between physical and societal impacts, which are consolidated to inform unified resilience improvement in a community compared to other methods. It is envisioned that the integrated socio-physical evaluation model can provide actionable insights for the formulation of hazard-specific preparedness strategies.

在社区中进行合法的影响评估是阐明为应对频繁增加和加剧的灾害而采取的缓解措施和提高复原力的先兆。然而，在一个社区中流行的危害影响评估通常评估基础设施系统的结构或功能性能的退化，而对其在危害事件期间引起的社会影响的关注有限。社会物理影响的不准确表征导致了影响缓解和弹性改善政策的短视和不完整。为了填补这一空白，本文提出了一个综合的社会-物理影响评估模型，以指导社区的缓解工作和提高复原力，在理论上得到以效率为中心和以公平为导向的价值观的支持。该模型由三个模块组成：(i)利用基于物理的方法对基础设施运行制度和危害引起的物理影响进行建模；（ii）采用以社会为本的方法评估基础设施服务中断对社会的影响；（三）利用多标准决策方法对社会-自然影响进行权衡分析和综合评价，以指导缓解工作。以香港湾仔区为例，验证了模型的有效性。该模型的优势在于它实现了物理影响和社会影响之间的权衡，与其他方法相比，这些影响被整合起来，为社区的统一恢复力改进提供信息。预计综合社会物理评估模型可以为制定具体灾害准备战略提供可操作的见解。

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引用次数: 0

Policy feedback in crowd-safety crises: a dynamic topic modeling approach to South Korea’s Post-Itaewon crisis 人群安全危机中的政策反馈：韩国后梨泰院危机的动态主题建模方法

IF 5.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2026-01-28 DOI: 10.1016/j.ssci.2026.107132

Saemi Chang, HaeJung Kim

In October 2022, a tragic crowd crush in Itaewon, South Korea, triggered intense public outrage over the government’s unpreparedness. This study examines how public discourse and policy actions interacted over time, using policy feedback theory to analyze how government responses influenced trust, engagement, and meaning making. Online data were collected from Korea’s largest platform, Naver, and dynamic topic modeling was applied to identify evolving themes in citizen narratives. These trends were then aligned with the timeline of policy measures, ranging from symbolic gestures to more structured reforms. Results reveal a dynamic feedback loop: early policies were perceived as symbolic gestures responding to political pressure, while subsequent reforms that gained greater public visibility and addressed prevailing concerns gradually redirected discourse toward future-oriented preparedness. However, a resurgence of concern over site-specific risks in late 2024 indicated that technocratic solutions alone may not fully restore trust or closure. By tracing shifts in online discourse alongside government actions, this study highlights the interpretive mechanisms through which citizens assess post-crisis governance. Findings offer insight into when and how policy responsiveness supports democratic legitimacy, and underscore the importance of visible, emotionally resonant, and experientially credible reforms in maintaining public confidence after disaster.

2022年10月，韩国梨泰院发生悲惨的人群踩踏事件，引发了公众对政府准备不足的强烈愤怒。本研究考察了公共话语和政策行动如何随着时间的推移而相互作用，使用政策反馈理论来分析政府反应如何影响信任、参与和意义制定。从韩国最大的平台Naver收集在线数据，并应用动态主题建模来识别公民叙事中不断变化的主题。然后，这些趋势与政策措施的时间表保持一致，从象征性的姿态到更有条理的改革。结果揭示了一个动态的反馈循环：早期的政策被认为是对政治压力的象征性姿态，而随后的改革获得了更大的公众能见度并解决了普遍关注的问题，逐渐将话语转向面向未来的准备。然而，2024年末对特定地点风险的担忧再次抬头，表明仅靠技术官僚解决方案可能无法完全恢复信任或关闭。通过追踪网络话语与政府行为的变化，本研究强调了公民评估危机后治理的解释机制。调查结果揭示了政策响应在何时以及如何支持民主合法性，并强调了可见的、情感上引起共鸣的、经验上可信的改革在灾后维持公众信心方面的重要性。

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引用次数: 0

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 中心型应急组织的运作及其对应急网络弹性的影响——以中国洪涝灾害为例

IF 5.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2026-01-24 DOI: 10.1016/j.ssci.2026.107129

Xiaodong Ji , Yi Su , Chuanshen Qin

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.

中心型应急组织（hteo）位于计划网络交互和应急网络交互的交叉点。基于社会资本理论，本研究试图考察高绩效组织的运作及其对应急响应网络弹性的影响。具体而言，以2021年郑州暴雨为例，构建了不同应急阶段的信息资源网络。数据来自对多源新闻文章的内容分析和对有经验人员的半结构化采访。本研究分别采用中介角色分析方法和边缘去除方法，探讨高绩效组织如何通过供应链与其他组织合作，以及不同形式的供应链如何影响应急响应网络的弹性。研究结果表明，hteo主要通过桥接SC参与ERN，这对ERN的弹性产生负面影响。绑定SC增强了资源网络的弹性，但对信息网络来说是冗余的。连接SC对ERN弹性有阶段性的正向影响，体现在即时反应阶段。根据组织间协作活动和应急响应阶段的差异，本研究提供了如何在高绩效组织与其他组织之间战略性地使用不同形式的SC来促进计划和应急网络的整合，并设计弹性应急响应网络的见解。

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引用次数: 0

Double-edged effects of work task stress on safety performance: a cognitive appraisal perspective 工作任务压力对安全绩效的双刃剑效应：认知评价视角

IF 5.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2026-01-22 DOI: 10.1016/j.ssci.2026.107120

Yuanyuan Lai , Sihua Chen , Gantao Li , Zhiqiang Wang , Bolin Wang

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.

在高风险行业，提高员工的安全绩效一直是从业人员和学者关注的焦点。然而，关于工作任务压力影响的证据是不一致的：一些研究表明，压力可以激发更好的安全绩效，而另一些研究则提供证据表明，行业固有压力和角色要求的积累会破坏它。这场争论强调了工作任务压力影响安全结果的机制的不确定性，特别是认知评估的作用。基于认知评价理论和工作需求-资源（JD-R）模型，我们提出了工作任务压力通过两个相互竞争的评价过程影响安全依从性和安全参与的双途径中介模型。通过对308名高风险行业一线员工的实地调查发现，工作任务压力具有双刃剑效应：工作任务压力通过挑战性评价提高了安全合规性和安全参与性，同时通过阻碍性评价降低了安全合规性和安全参与性。此外，职业认同显著减弱了障碍通路，但并不可靠地增强挑战评价的积极效应。本研究通过采用双途径框架挑战了传统的非此即彼的压力评估假设，为解释安全关键环境下压力与安全性能之间的联系机制提供了新的视角。同时，职业认同的非对称调节作用丰富了JD-R模型中个人资源不同功能的理论认识。

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引用次数: 0

A novel gait-based bipedal social force model for simulating pedestrian dynamics on inclined surfaces 一种新的基于步态的双足社会力模型，用于模拟斜面上的行人动力学

IF 5.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2026-01-22 DOI: 10.1016/j.ssci.2026.107119

Wei Xie , Chenrui Xuan , Jingjie Wang , Eric Wai Ming Lee , Bingwei Tian

The proliferation of vertical urban spaces has made inclined surfaces ubiquitous, yet pedestrian dynamics on ramps remain insufficiently understood and modeled. Navigating uphill slopes requires significant gait and postural adaptations to maintain stability, increasing the risk of individual falls and collective crowd incidents. To address this, we introduce a novel gait-based Bipedal Social Force Model (BSFM) that explicitly decomposes pedestrian locomotion into center-of-mass (COM) dynamics and bipedal alternation. The COM motion is driven by an enhanced social force model incorporating slope-adaptive desired speed and a biomechanically-grounded variable relaxation time. The bipedal component then dynamically generates microscopic gait parameters (step length, width, time) based on the COM kinematic state, enabling a physiologically realistic simulation of walking. The model was rigorously calibrated and validated against experimental data from treadmill gait analysis (0°, 5°, 7°, 12°) and single-file movement. Simulations demonstrated excellent agreement in reproducing key metrics, including step length reduction and the emergence of stop-and-go waves. Extensive parametric simulations beyond the experimental range further quantified fundamental relationships across a wide range of slopes (0°–30°): congestion density increases linearly with slope, while capacity decreases linearly, and both free speed and free headway follow a concave quadratic decay. These findings provide an advanced computational tool and quantitative insights for enhancing pedestrian safety and efficiency in sloped environments.

垂直城市空间的激增使得斜面无处不在，但坡道上的行人动态仍然没有得到充分的理解和建模。在上坡上航行需要显著的步态和姿势适应来保持稳定，这增加了个人跌倒和集体事故的风险。为了解决这个问题，我们引入了一种新的基于步态的双足社会力模型（BSFM），该模型明确地将行人运动分解为质心动力学和双足交替。COM运动由增强的社会力模型驱动，该模型结合了自适应坡度的期望速度和基于生物力学的可变松弛时间。然后，双足组件根据COM的运动学状态动态生成微观步态参数（步长、宽度、时间），从而实现生理上真实的步行模拟。根据跑步机步态分析（0°、5°、7°、12°）和单纵队运动的实验数据对模型进行了严格的校准和验证。模拟结果表明，在再现关键指标方面，包括步长减少和走走停停波的出现，具有很好的一致性。超出实验范围的大量参数模拟进一步量化了大范围坡度（0°-30°）的基本关系：拥堵密度随坡度线性增加，而通行能力线性减少，自由速度和自由车头均遵循凹二次衰减。这些发现为提高斜坡环境中行人的安全性和效率提供了先进的计算工具和定量见解。

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引用次数: 0

SafeDriveEdge: multimodal vision-language reasoning for real-time decision support in intelligent vehicles SafeDriveEdge：用于智能车辆实时决策支持的多模态视觉语言推理

IF 5.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2026-01-22 DOI: 10.1016/j.ssci.2026.107115

Mohammad Tami , Ahmad Hasasneh , Huthaifa I. Ashqar , Mohammed Elhenawy

This study introduces SafeDriveEdge, a lightweight framework for on-device, safety–critical reasoning in intelligent vehicles, built around HazardNet, a compact and interpretable multimodal large language model tailored for real-time, safety–critical reasoning in autonomous driving. By leveraging parameter-efficient fine-tuning (LoRA) and quantized LoRA (QLoRA) on the newly developed HazardQA dataset, HazardNet achieves 84.1 % F1-score in risk identification and delivers over 95 % of GPT4o-mini’s performance using only a fraction of its parameters and hardware resources. Operating with just 4 GB of memory and sub-second inference latency, SafeDriveEdge enables real-time deployment of HazardNet on edge devices without reliance on cloud connectivity. Unlike traditional models, HazardNet produces chain-of-thought (CoT) rationales, enabling transparent and auditable decision-making in complex traffic scenarios. Through the introduction of the HazardQA dataset, which comprises over 7,000 vision-language question–answer (QA) pairs enriched with CoT explanations, this work not only trained HazardNet to provide accurate outputs but also enabled it to reason causally about dynamic and complex road scenarios. This work demonstrates that domain-adapted, reasoning-capable models can outperform larger general-purpose systems in high-stakes environments while remaining lightweight and interpretable. These findings advocate for a paradigm of parameter-efficient specialization to improve traffic safety and open avenues for the broader adoption of AI in safety–critical domains. Both the HazardNet model and the HazardQA dataset are available at https://huggingface.co/Tami3/HazardNet and https://huggingface.co/datasets/Tami3/HazardQA, respectively.

该研究介绍了SafeDriveEdge，这是一种轻量级框架，用于智能车辆的设备上安全关键推理，它围绕着HazardNet构建，后者是一种紧凑且可解释的多模态大型语言模型，专为自动驾驶中的实时安全关键推理而定制。通过在新开发的HazardQA数据集上利用参数高效微调（LoRA）和量化LoRA (QLoRA)， HazardNet在风险识别方面达到了84.1%的f1分，并且仅使用一小部分参数和硬件资源就提供了超过95%的gpt40 -mini性能。SafeDriveEdge仅使用4gb内存和亚秒级推理延迟，可以在边缘设备上实时部署HazardNet，而无需依赖云连接。与传统模型不同，HazardNet产生了思维链（CoT）原理，在复杂的交通场景中实现了透明和可审计的决策。通过引入由7000多个视觉语言问答（QA）对组成的包含CoT解释的HazardQA数据集，这项工作不仅训练了HazardNet提供准确的输出，而且使其能够对动态和复杂的道路场景进行因果推理。这项工作表明，领域适应，推理能力的模型可以在高风险环境中优于大型通用系统，同时保持轻量级和可解释性。这些发现提倡一种参数高效的专业化范式，以改善交通安全，并为在安全关键领域更广泛地采用人工智能开辟道路。在https://huggingface.co/Tami3/HazardNet和https://huggingface.co/datasets/Tami3/HazardQA上分别可以找到危害网络模型和危害qa数据集。

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引用次数: 0

A discrete event simulation model approach for probabilistic estimates of helicopter search and rescue times to maritime incidents in the Canadian Arctic 加拿大北极地区海上事故直升机搜救时间概率估计的离散事件模拟模型方法

IF 5.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2026-01-21 DOI: 10.1016/j.ssci.2026.107113

Isabella Fernandes , Floris Goerlandt , Mohammed Zarrin Mehr , Robert Brown , Ronald Pelot

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.

搜索和救援（SAR）对于确保偏远地区的人类安全非常重要，例如在北极地区，由于气候变化的影响，海上航运不断增加。由于时间是成功的搜救行动的一个重要因素，应急计划人员和船舶操作员需要对到达遇险人员并完成救援任务所需的时间进行现实的估计。鉴于缺乏用于此目的的综合方法，本文提出了一个模型来估计使用直升机资产在加拿大北极完成SAR任务的时间。该模型被设计为离散事件模拟（DES）模型，并基于广泛的咨询过程，考虑了诸如事件地点、直升机路线、加油需求和遇险人数等关键因素。一个重要的组成部分涉及SAR直升机在各种环境条件下的可操作性评估。将SAR直升机DES模型嵌入到蒙特卡罗仿真框架中，并使用来自环境数据的统计数据，获得了各种可能的海上事件的救援时间概率估计，说明了该模型的适用性。结果表明，不同地点和季节的SAR响应时间变化很大，SAR任务时间超过24 h的情况并不少见。尽管该模型还有待进一步验证，并可加以改进和扩展，但它为对航空SAR系统的性能进行全面战略评估奠定了基础。

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引用次数: 0

An instrument to assess high reliability in organizations: psychometric properties, practical utility and theoretical relevance 一种评估组织中高可靠性的工具：心理测量特性、实际效用和理论相关性

IF 5.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2026-01-20 DOI: 10.1016/j.ssci.2026.107117

S. Alexander Haslam , Tarli Young , Melinda Layton , Olivia Burdon , Kïrsten Way , Niklas K. Steffens , Blake McMillan , Sally Knox , Wieke Scholten , Emma Knight , Jolanda Jetten , Susan Johnston

High-reliability organizations (HROs) exhibit close to error-free performance while operating in environments where failure can be catastrophic. Yet while HROs have been the focus of research for decades, as things stand, no broadly applicable and validated instrument has been developed to assess whether employees’ experience their organization to be functioning as an HRO (i.e., in line with the hallmarks of HROs set out by Weick & Sutcliffe, 2001). To address this gap, we (a) worked with subject-matter experts to develop an instrument to assess people’s HRO experience (HRO^X) and test its construct validity (Study 1), (b) validated the instrument in a convenience sample of full-time workers (N = 290; Study 2) and (c) re-validated the instrument with a targeted sample of employees working in HRO-typical industries (N = 293, Study 3). Results from Studies 2 and 3 provided evidence of the reliability and construct validity of the HRO^X and also confirmed its convergent and discriminant validity. Supporting the instrument’s predictive validity, in both studies the HRO^X predicted safety-related outcomes, workplace health and wellbeing-related outcomes, and relevant attitudinal outcomes. Finally, speaking to the instrument’s theoretical validity, both studies supported hypotheses derived from the Social Identity Model of HROs (Haslam et al., 2022). In particular, HRO^X was predicted both by social identification and by identity leadership — although the focus of this differed across studies. In this way, the HRO^X scale appears to provide a solid platform for the assessment and refinement of principles that underpin high reliability in organizational contexts.

高可靠性组织（hro）在故障可能是灾难性的环境中运行时，表现出接近无错误的性能。然而，尽管人力资源管理人员几十年来一直是研究的焦点，但就目前的情况而言，还没有开发出广泛适用和有效的工具来评估员工是否体验到他们的组织作为人力资源管理人员的功能（即，符合Weick &； Sutcliffe， 2001年提出的人力资源管理人员的特征）。为了解决这一差距，我们(a)与主题专家合作开发了一种工具来评估人们的人力资源管理经验（HROX）并测试其结构效度（研究1），(b)在全职工人的便利样本中验证了该工具（N = 290；研究2），(c)在人力资源管理典型行业工作的目标样本中重新验证了该工具（N = 293，研究3）。研究2和研究3的结果证明了HROX的信度和结构效度，并证实了其收敛效度和判别效度。在两项研究中，HROX预测了与安全相关的结果、与工作场所健康和福祉相关的结果以及相关的态度结果，支持了该工具的预测效度。最后，谈到该工具的理论有效性，两项研究都支持来自hro社会认同模型的假设（Haslam et al., 2022）。特别是，HROX可以通过社会认同和身份领导来预测——尽管研究的重点有所不同。通过这种方式，HROX量表似乎为评估和改进在组织环境中支撑高可靠性的原则提供了一个坚实的平台。

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引用次数: 0

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

Safety Science

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

Safety Science

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