Safety Science最新文献_第5页

Investigating interconnections between social considerations and architectural design parameters in post-disaster shelters 调查灾后避难所的社会考虑因素和建筑设计参数之间的相互联系

IF 5.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2025-12-20 DOI: 10.1016/j.ssci.2025.107101

Ilias Gkoumas , Theodora Mavridou , Nikolaos Nanos

Natural disasters increasingly displace communities worldwide, yet post-disaster shelters often prioritize rapid deployment and cost-efficiency over social well-being. Although existing studies have examined design and social factors separately, few have systematically explored how these domains intersect in shaping user experience and community recovery. This research addresses that gap by investigating the interconnections between key design parameters, shelter size, materials, spatial layout, comfort, and social outcomes including safety, privacy, health, cultural appropriateness, and community participation. Using a structured literature review and qualitative thematic analysis of 84 publications in NVivo, the study identifies consistent patterns that demonstrate how physical design decisions directly influence social well-being. Shelter size was pivotal, as overcrowding undermined privacy, dignity, and health; material choices affected safety and cultural acceptance; layout determined psychological comfort and participation; and environmental comfort supported resilience and emotional stability. By integrating dispersed evidence across disciplines, this research advances current understanding of post-disaster shelter design as both a technical and social process. The findings emphasize that participatory, context-sensitive, and culturally informed design strategies are essential to achieving shelters that support not only immediate protection but also long-term social recovery and dignity.

自然灾害越来越多地使世界各地的社区流离失所，但灾后避难所往往优先考虑快速部署和成本效益，而不是社会福祉。尽管现有的研究分别考察了设计和社会因素，但很少有人系统地探索这些领域如何在塑造用户体验和社区恢复方面相互交叉。这项研究通过调查关键设计参数、住所大小、材料、空间布局、舒适度和社会结果（包括安全、隐私、健康、文化适宜性和社区参与）之间的相互联系来解决这一差距。通过对NVivo 84份出版物的结构化文献回顾和定性专题分析，该研究确定了证明物理设计决策如何直接影响社会福祉的一致模式。庇护所的大小是关键，因为过度拥挤破坏了隐私、尊严和健康；物质选择影响安全和文化接受度；布局决定心理舒适度和参与性；环境舒适支持恢复力和情绪稳定性。通过整合跨学科的分散证据，本研究推进了目前对灾后住房设计作为技术和社会过程的理解。研究结果强调，参与性、环境敏感性和文化知情的设计策略对于实现不仅支持即时保护，而且支持长期社会恢复和尊严的住房至关重要。

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引用次数: 0

Collective culture and safety reporting intention: The serial mediation of safety reporting barriers 集体文化与安全报告意愿：安全报告障碍的序列中介作用

IF 5.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2025-12-19 DOI: 10.1016/j.ssci.2025.107077

Hoang Thi Kim Quy , Vo Hoang Bao , Tran Dinh Lam Anh

The vital role of the safety reporting system led this study to explore the influence of collective culture on safety reporting intention. This study adopts a holistic perspective on the barriers hindering aviation workers from reporting safety concerns to examine the role of collective culture on these barriers and their causal effects on safety reporting intention. This study employed a quantitative cross-sectional design, using a structured questionnaire to collect data from a sample of 626 employees working in air service providers located in Vietnam, which was analyzed using partial least squares structural equation modeling (PLS-SEM). The findings indicate that collective culture significantly increases organizational, workplace, and individual barriers that make employees hesitant to engage in the safety reporting system. Contrary to our expectation, the results highlight that collective culture did not directly reduce employees’ safety reporting intention; instead, collective culture, not merely through direct cultural norms but through a serial mediation of barriers at organizational, workplace, and individual levels, enhanced safety reporting intention. These findings underscore the complex and contextually influenced role of cultural norms in determining safety reporting intention within aviation organizations.

鉴于安全报告制度的重要作用，本研究旨在探讨集体文化对安全报告意愿的影响。本研究采用整体视角研究阻碍航空工作者报告安全问题的障碍，考察集体文化在这些障碍中的作用及其对安全报告意图的因果影响。本研究采用定量横断面设计，使用结构化问卷收集越南航空服务提供商626名员工的样本数据，并使用偏最小二乘结构方程模型（PLS-SEM）进行分析。研究结果表明，集体文化显著增加了组织、工作场所和个人的障碍，使员工对参与安全报告系统犹豫不决。与我们的预期相反，结果强调集体文化并没有直接降低员工的安全报告意愿；相反，集体文化不仅通过直接的文化规范，而且通过组织、工作场所和个人层面的一系列障碍调解，增强了安全报告的意图。这些发现强调了在航空组织中，文化规范在决定安全报告意图方面的复杂和受背景影响的作用。

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引用次数: 0

Job resources and perceived work capability at sea: The mediator role of seafarers’ sleep quality 海上工作资源与感知工作能力：海员睡眠质量的中介作用

IF 5.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2025-12-18 DOI: 10.1016/j.ssci.2025.107089

Francesco Buscema , Marco Viola , Clarissa Cricenti , Laura Lorente Prieto , Lara Colombo

The maritime sector has received little attention in research on analysing working conditions and employee well-being. This study investigates the relationship between job resources (i.e. safety behaviour, social support, transformational leadership) and work self-capability among seafarers, analysing the mediating role of sleep quality. A cross-sectional survey was conducted with 406 Italian seafarers employed by various companies. Structural equation models revealed that safety behaviour was directly and strongly associated with work self-capability, whereas social support and transformational leadership showed no direct effects. However, sleep quality fully mediated the relationship between social support and self-work capability. The results highlight the central role of on board safety behaviour in promoting effective for decent work performance compared to other work resources. Moreover, they underscore the importance of sleep quality as a mechanism through which social support enhances performance. This study adds to the international literature by emphasizing the critical role of an onboard safety climate in predicting positive work-related outcomes among seafarers. To enhance operational performance and promote crew well-being, shipping companies are encouraged to focus on developing a strong safety culture and fostering supportive relationships among crew members.

海事部门在分析工作条件和雇员福利方面的研究很少受到关注。本研究探讨海员工作资源（即安全行为、社会支持、变革型领导）与工作自我能力的关系，并分析睡眠质量的中介作用。对受雇于不同公司的406名意大利海员进行了横断面调查。结构方程模型显示，安全行为与工作自我能力有直接且强烈的关系，而社会支持和变革型领导没有直接影响。而睡眠质量在社会支持与自我工作能力之间的关系中起完全中介作用。结果显示，与其他工作资源相比，船上安全行为在促进有效体面工作表现方面发挥了核心作用。此外，他们强调了睡眠质量作为社会支持提高表现的机制的重要性。本研究通过强调船上安全气候在预测海员积极工作成果方面的关键作用，增加了国际文献。为了提高运营绩效和促进船员福祉，鼓励航运公司重点发展强大的安全文化，并培养船员之间的支持关系。

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引用次数: 0

Quantitative risk evaluation for construction methods using accident rate analysis based on working days by occupation 基于工种工作日事故率分析的施工方法定量风险评价

IF 5.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2025-12-18 DOI: 10.1016/j.ssci.2025.107094

Minwoo Song , Jaewook Jeong , Louis Kumi

Construction projects are among the most dangerous workplaces in modern industries, and the choice of construction methods is highly relevant to worker safety. Therefore, construction project managers must consider safety when selecting a construction method. This paper proposes a procedure for quantitatively calculating the risk of construction methods to provide a reliable indicator for construction project managers. This study was conducted in four steps: (i) Data collection and classification, (ii) calculation of accident rates for each work breakdown structure (WBS) level, (iii) calculation of man-day-based accident rates by occupation type, and (iv) calculation of accident rates for construction methods. When the accident rate per worker was calculated based on man-days, the occupation type related to scaffolding had the highest rate. Finally, the calculation results of the accident rate by construction method using the proposed method confirmed through quantitative metrics that the traditional steel-reinforced concrete (SRC) method has an accident rate approximately 2.6 times higher than the prefabricated steel-reinforced concrete (PSRC) method. The results of this study propose a procedure for calculating the accident rate by occupation type per man-day for each construction method, which is difficult to compute using quantitative methods. This paper provides reliable metrics for decision-making in the selection of construction methods for construction project managers with decision-making authority and proposes a quantitative risk assessment and comparable procedure based on the actual resources required for the various alternative methods.

建筑工程是现代工业中最危险的工作场所之一，施工方法的选择与工人的安全高度相关。因此，施工项目经理在选择施工方法时必须考虑安全性。本文提出了一种定量计算施工方法风险的方法，为施工项目管理者提供可靠的指标。这项研究分四个步骤进行：(i)数据收集和分类；（ii）计算每个工作分解结构（WBS）级别的事故率；（iii）按职业类别计算以人-日为单位的事故率；以及（iv）计算施工方法的事故率。当每个工人的事故率以工时计算时，与脚手架相关的职业类型的事故率最高。最后，采用本文提出的方法对施工方法的事故率进行了计算，通过量化指标证实，传统钢筋混凝土（SRC）方法的事故率比预制钢筋混凝土（PSRC）方法高约2.6倍。本研究的结果提出了一种计算每个施工方法每个工日的职业类型事故率的程序，这是难以用定量方法计算的。本文为具有决策权的建设项目经理在施工方法选择方面提供了可靠的决策指标，并根据各种备选方法所需的实际资源，提出了一种定量的风险评估和比较程序。

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引用次数: 0

Structural causality hierarchy analysis: A novel data-driven integrated method for assessing occupational accidents in maritime transportation 结构因果层次分析：一种新的数据驱动的海上运输职业事故综合评估方法

IF 5.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2025-12-17 DOI: 10.1016/j.ssci.2025.107086

Xinjian Wang , Guohong Zhao , Liang Cao , Jilong Yu , Yongqiang Li , Hongzhen Wang , Wenjie Cao

The growing complexity of transportation systems necessitates advanced, data-driven methodologies for the accurate identification and systematic analysis of risk factors in occupational accidents. Although Generative Artificial Intelligence (GAI) demonstrates transformative potential for safety enhancement, its effective implementation in high-stakes domains like maritime transport remains constrained by the lack of structured, domain-specific causal knowledge. To bridge this gap, this study proposes a novel analytical framework that effectively generates an interpretable causal hierarchy from accident data, serving as a foundational knowledge base for future GAI systems. Leveraging the European maritime occupational accidents case database, this study proposes an integrated methodology that incorporates association rule mining, the weighted influence non-linear gauge system, and the adversarial interpretive structure model. This framework is designed to systematically identify risk factors and elucidate their complex multidimensional interactions. The findings reveal the interaction patterns among risk factors in maritime occupational accidents, identify dynamic risk evolution pathways initiated by specific factor combinations, and demonstrate the practical applicability and effectiveness of the integrated framework for risk identification and accident mechanism analysis. These results provide a solid theoretical foundation and practical guidance to support of maritime transportation enterprises in developing customized, dynamic safety management systems. Furthermore, the proposed data-driven framework not only advances risk assessment techniques but also establishes a structural foundation conducive to future integration with GAI-driven decision support systems, thereby contributing to the overarching goals of enhancing transportation safety and resilience.

日益复杂的运输系统需要先进的、数据驱动的方法来准确识别和系统地分析职业事故中的风险因素。尽管生成式人工智能（GAI）显示出增强安全性的变革性潜力，但其在海上运输等高风险领域的有效实施仍然受到缺乏结构化、特定领域因果知识的限制。为了弥补这一差距，本研究提出了一种新的分析框架，可以从事故数据中有效地生成可解释的因果层次，作为未来GAI系统的基础知识库。利用欧洲海上职业事故案例数据库，本研究提出了一种整合关联规则挖掘、加权影响非线性测量系统和对抗解释结构模型的综合方法。该框架旨在系统地识别风险因素并阐明其复杂的多维相互作用。研究结果揭示了海上职业事故风险因素之间的相互作用模式，识别了特定因素组合引发的动态风险演化路径，并证明了风险识别和事故机制分析集成框架的实用性和有效性。研究结果为支持海运企业开发个性化、动态的安全管理体系提供了坚实的理论基础和实践指导。此外，提出的数据驱动框架不仅推进了风险评估技术，而且建立了有利于未来与人工智能驱动的决策支持系统集成的结构基础，从而有助于提高交通安全和弹性的总体目标。

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引用次数: 0

IF 5.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2025-12-17 DOI: 10.1016/j.ssci.2025.107092

Marc Schütte, Markus Wiedemann

Tactical teams in fire and rescue services must be capable of adapting to hazardous environments. A key prerequisite for adaptability in the interest of reliability and safety is the ability of team members to actively engage in directive speech acts. That is, to signal potential threats and initiate corrective action. This study compares directive speech acts across the two domains, focusing on risk, team role (leader versus follower), and individual characteristics. A logistic mixed regression approach was applied to data from an online survey. Four models were generated to test two interaction hypotheses: domain × role (H1) and domain × follower characteristics (H2). The sample consisted of 822 members of fire and rescue services, each evaluating three domain-specific and risk-graded scenarios (vignettes). The findings indicate that speech acts of leaders and followers are symmetrical in the rescue service, whereas they follow a complementary pattern in the fire service (H1). In both domains, followers adjust their responses according to perceived risk. Regarding individual characteristics (H2), age emerged as predictor of speak-up in the fire service. Notably, perceived psychological safety did not predict speaking up in either domain. The use of directive speech acts differs between domains, reflecting culturally embedded role expectations. In the rescue service, these are shaped by interprofessional dynamics, particularly negotiation of authority between physicians and paramedics – whereas in the fire service, directive speech acts align with hierarchical structures within a single profession. Safety interventions aimed at improving directive speech acts must be context- and culture-sensitive.

消防和救援服务中的战术小组必须能够适应危险的环境。为了可靠性和安全性的利益，适应性的一个关键先决条件是团队成员积极参与指导性言语行为的能力。也就是说，发出潜在威胁的信号并启动纠正措施。这项研究比较了两个领域的指导性言语行为，重点是风险、团队角色（领导者与追随者）和个人特征。逻辑混合回归方法应用于在线调查的数据。生成了四个模型来检验两个交互假设：领域×角色（H1）和领域×追随者特征（H2）。样本由822名消防和救援服务人员组成，每个人评估三个特定领域和风险分级的场景（小插曲）。研究结果表明，在救援服务中，领导者和追随者的言语行为是对称的，而在消防服务中，他们遵循互补模式（H1）。在这两个领域，追随者根据感知到的风险调整他们的反应。关于个人特征（H2），年龄成为消防服务中发言的预测因子。值得注意的是，感知到的心理安全并不能预测在任何一个领域中说出来。指导性言语行为的使用在不同的领域是不同的，这反映了文化上嵌入的角色期望。在救援服务中，这些是由跨专业动态形成的，特别是医生和护理人员之间的权威谈判——而在消防服务中，指导性言语行为与单一职业中的等级结构一致。旨在改善指导性言语行为的安全干预措施必须具有上下文和文化敏感性。

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引用次数: 0

A conceptual modelling for predicting human error during voyage planning emergency management in maritime: Heart and improved Z-number 海上航次计划应急管理中人为错误预测的概念模型：心脏和改进的z数

IF 5.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2025-12-17 DOI: 10.1016/j.ssci.2025.107088

Ferdi Cinar , Seher Suendam Arici , Yunus Emre Senol , Emre Akyuz , Agus Hasan

Voyage planning is a safety–critical task in maritime navigation, where human error plays a significant contributing factor to maritime emergencies. This paper proposes a conceptual modelling for predicting human error probability (HEP) in ship emergency voyage planning by integrating the Human Error Assessment and Reduction Technique (HEART) with an improved Z-number approach. The framework systematically decomposes voyage planning into task types, analyse them to relevant Generic Task Types (GTTs), and quantifies associated Error Producing Conditions (EPCs) through HEART. In order to deal with the inherent uncertainty and unreliability in expert judgments, the improved Z-number is adopted, enabling simultaneous representation of both the degree of belief and the reliability of that belief. The findings show that sub-task 2.6 (Configure ECDIS safety parameters with a 3.797E-01 HEP and subtask 3.6 (Observe maritime traffic and manoeuvre according to COLREGs) with a 2.558E-01 HEP value are the vital tasks contributing to human error during ship emergency voyage planning management. The outcomes of the research will provide the utmost contributions for maritime safety practitioners, ship officers, regulators, and training organisations, supporting proactive risk mitigation strategies in voyage planning.

航次规划是海上航行安全的关键任务，人为失误是造成海上突发事件的重要因素。将人为错误评估与减少技术（HEART）与改进的z数方法相结合，提出了船舶应急航次规划中人为错误概率（HEP）预测的概念模型。该框架系统地将航次规划分解为任务类型，将其分析为相关的通用任务类型（gtt），并通过HEART量化相关的误差产生条件（epc）。为了处理专家判断中固有的不确定性和不可靠性，我们采用了改进的z数，可以同时表示该信念的置信程度和可靠性。结果表明，子任务2.6（配置ECDIS安全参数，HEP值为3.797E-01）和子任务3.6（根据COLREGs观察海上交通和操纵）的HEP值为2.5558 e -01，是船舶应急航次计划管理中导致人为错误的重要任务。研究结果将为海上安全从业人员、船舶管理人员、监管机构和培训机构提供最大的贡献，支持航行规划中的主动风险缓解策略。

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引用次数: 0

Generative AI for transportation safety and resilience: a comprehensive review from a lifecycle perspective 基于生成式人工智能的交通安全和弹性：从生命周期角度的全面回顾

IF 5.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2025-12-17 DOI: 10.1016/j.ssci.2025.107090

Jingling Liu , Weiping Yu , Mingming Yang , Fan Liu

Transportation systems face increasingly complex disruptions that challenge traditional safety and resilience frameworks reliant on historical stationarity. Generative Artificial Intelligence (GAI)—including generative adversarial networks, diffusion models, and large language models—offers novel capabilities for rare-event simulation, multimodal data augmentation, and proactive scenario generation. This paper conducts a systematic review of 170 peer-reviewed studies published between 2019 and 2025, integrating fragmented findings into a lifecycle perspective spanning accident prevention, accident prediction, accident response and recovery. Our analysis demonstrates that GAI enables significant advances in accident prevention through enhanced traffic flow and behavior prediction, improves accident forecasting via anomaly and collision detection, and supports real-time emergency response and post-disruption recovery through multimodal reasoning and decision support. We also identify critical challenges in interpretability, data quality, domain adaptation, and ethical governance, which constrain GAI’s safe deployment in transportation systems. Building on these insights, we outline future research directions emphasizing human–AI collaboration, bias mitigation, multimodal integration, and governance mechanisms for trustworthy and resilient applications. This review contributes to the operations and transportation management literature by providing comprehensive, lifecycle-oriented synthesis of GAI in transportation safety and resilience, and by highlighting pathways for aligning advanced AI technologies with the design of next-generation resilient infrastructure systems.

交通运输系统面临着日益复杂的中断，挑战着依赖于历史稳定性的传统安全和弹性框架。生成式人工智能（GAI）——包括生成式对抗网络、扩散模型和大型语言模型——为罕见事件模拟、多模态数据增强和主动场景生成提供了新颖的功能。本文对2019年至2025年间发表的170项同行评议研究进行了系统回顾，将零散的研究结果整合到事故预防、事故预测、事故响应和恢复的生命周期视角中。我们的分析表明，GAI通过增强交通流量和行为预测，在事故预防方面取得了重大进展，通过异常和碰撞检测改进了事故预测，并通过多模态推理和决策支持支持实时应急响应和中断后恢复。我们还确定了可解释性、数据质量、领域适应性和道德治理方面的关键挑战，这些挑战限制了GAI在交通系统中的安全部署。在这些见解的基础上，我们概述了未来的研究方向，强调人类与人工智能的协作、偏见缓解、多模式集成以及可信赖和弹性应用程序的治理机制。本综述通过提供运输安全和弹性中GAI的全面、面向生命周期的综合，并通过强调将先进AI技术与下一代弹性基础设施系统设计相结合的途径，为运营和运输管理文献做出了贡献。

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引用次数: 0

Route icing risk modelling for arctic marine operations: a predictive framework for enhanced operational planning and risk preparedness 北极海上作业航线结冰风险建模：加强作业规划和风险准备的预测框架

IF 5.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2025-12-16 DOI: 10.1016/j.ssci.2025.107085

Tiantian Zhu , Eirik Mikal Samuelsen , Nikolai Figenschau

Ship operations in the Arctic face significant challenges from icing, particularly during winter. Icing on vessel surfaces poses serious risks, including reduced stability that can lead to capsizing in the worst case. The International Maritime Organization (IMO)’s Polar Code mandates that ship operators assess and mitigate icing risks during operational planning. However, the absence of route icing risk models or metrics not only hinders effective implementation of these regulations, risk preparedness, and onboard decision-making. This study introduces a route icing risk model to estimate the spatial–temporal icing risk of Arctic voyages, leveraging the developed MINCOG icing rate model and weather forecasts. Thresholds are tested to determine a suitable value for defining severe icing events using historical ship voyage data and reanalysis weather data from 2021 to 2023. Ten ship voyages were analysed to compare route icing risk predictions based on forecast data versus reanalysis data, revealing significant discrepancies. The effects of route discretization intervals, speed changes, and waypoint adjustments on route icing risk estimation are examined using sensitivity analysis. Results indicate that larger discretization intervals may underestimate risk, while waypoint deviations have a greater impact on icing risk than speed adjustments. Both factors have limited influence when arrival times are fixed comparing with arrival time not fixed. A case study demonstrates the model’s application for multi-objective fishing route optimization, balancing icing risk, voyage duration, and catch maximization. This model provides a valuable tool for risk-informed routing, preparedness, accident prevention, and regulatory compliance in the Arctic waters.

北极地区的船舶作业面临着结冰的重大挑战，尤其是在冬季。船舶表面结冰会带来严重的风险，包括稳定性降低，在最坏的情况下可能导致倾覆。国际海事组织（IMO）的极地规则要求船舶运营商在运营计划中评估和减轻结冰风险。然而，航线结冰风险模型或指标的缺失不仅阻碍了这些法规的有效实施、风险准备和船上决策。本文利用已开发的MINCOG结冰率模型和天气预报，引入航线结冰风险模型，对北极航次进行时空结冰风险估算。使用2021年至2023年的历史船舶航行数据和再分析天气数据，对阈值进行测试，以确定定义严重结冰事件的合适值。研究人员分析了10艘船的航次，比较了基于预测数据和再分析数据的航线结冰风险预测，发现了显著的差异。采用灵敏度分析方法研究了航路离散化间隔、航路速度变化和航路点调整对航路结冰风险估计的影响。结果表明，较大的离散化间隔可能会低估风险，而航路点偏差对结冰风险的影响大于速度调整。当到达时间固定时，与到达时间不固定时相比，这两个因素的影响有限。通过实例验证了该模型在多目标捕鱼路线优化、平衡结冰风险、航行时间和渔获量最大化等问题上的应用。该模型为北极水域的风险知情路由、准备、事故预防和法规遵从提供了有价值的工具。

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引用次数: 0

Effects of witnessing accidents in virtual reality on reception of safety training: the role of empathy toward virtual victims 在虚拟现实中目睹事故对安全培训接受的影响：对虚拟受害者共情的作用

IF 5.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2025-12-09 DOI: 10.1016/j.ssci.2025.107087

Jeffrey C.F. Ho, Ali Lai Lai Wong

The study investigated the effects of a virtual reality (VR)–based experience of witnessing accidents in the construction industry on the motivation and reception of safety training information. Previous studies have investigated the effects of exposure to accidents and/or injuries in VR from a first-person perspective. However, the virtual experience of such accidents may desensitize trainees and lower their sensitivity towards workplace hazards. The objective of the reported study was to address this gap by proposing a novel VR-based training method focusing on the effects of witnessing accidents rather than experiencing them firsthand.

A lab-based experiment was conducted in which participants were exposed to VR scenarios which they witnessed either no accident, a fatal accident, or a fatal accident with background information on close relationships between colleagues and the victim.

The results show that witnessing a VR-based accident increases people’s attitude toward construction safety and motivation to learn about construction safety. Follow-up analysis revealed that witnessing a VR-based accident had an indirect effect on motivation, which was mediated by its effect on associative empathy toward the virtual victim and moderated by social presence in VR.

The results highlight the role of associative empathy and social presence as critical factors mediating the impact of VR-based accident scenarios. These findings have significant implications for the design of VR-based safety training – instead of solely focusing on experiencing accidents, witnessing accidents happening to virtual characters could be a potential approach for training. Additionally, incorporating interpersonal information has become a crucial aspect in training designs.

该研究调查了基于虚拟现实（VR）的建筑行业事故目击体验对安全培训信息的动机和接受的影响。之前的研究已经从第一人称视角调查了VR中事故和/或伤害的影响。然而，这种事故的虚拟经验可能会使受训者脱敏，降低他们对工作场所危害的敏感性。报告研究的目的是通过提出一种新颖的基于vr的培训方法来解决这一差距，该方法侧重于目击事故的影响，而不是亲身经历事故。在一项实验室实验中，参与者被暴露在VR场景中，他们要么目睹了没有事故，要么目睹了致命事故，要么目睹了致命事故，背景信息是同事与受害者之间的密切关系。结果表明，目睹基于vr的事故增加了人们对建筑安全的态度和学习建筑安全的动机。后续分析发现，目睹虚拟现实事故对动机有间接影响，这种影响通过对虚拟受害者的联想共情效应介导，并受到虚拟现实中的社交在场的调节。研究结果强调了联想共情和社会在场是介导基于vr的事故场景影响的关键因素。这些发现对基于虚拟现实的安全培训的设计具有重要意义——而不是仅仅关注经历事故，目睹发生在虚拟角色身上的事故可能是一种潜在的培训方法。此外，融入人际信息已成为培训设计的一个重要方面。

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引用次数: 0