Safety Science最新文献

A system-theoretic approach to assess territory readiness for safe advanced air mobility operations 一种评估安全先进空中机动作战的领土准备状态的系统理论方法

IF 5.4 1区工程技术

Safety Science Pub Date : 2026-06-01 Epub Date: 2026-02-16 DOI: 10.1016/j.ssci.2026.107146

Manuel Lombardi , Natalia Guskova , Elena Stefana , Giulio Di Gravio , Riccardo Patriarca

{"title":"A system-theoretic approach to assess territory readiness for safe advanced air mobility operations","authors":"Manuel Lombardi , Natalia Guskova , Elena Stefana , Giulio Di Gravio , Riccardo Patriarca","doi":"10.1016/j.ssci.2026.107146","DOIUrl":"10.1016/j.ssci.2026.107146","url":null,"abstract":"<div><div>The evolution of disruptive technologies, such as Vertical Take-Off and Landing (VTOL) vehicles and Advanced Air Mobility (AAM), is reshaping civil aviation operations. As AAM and VTOL bring innovations, the European Union (EU) and the European Union Aviation Safety Agency (EASA) must adapt to these developments to ensure continued aviation safety. Integrating VTOL vehicles into air and ground infrastructure (e.g., airports and vertiports) presents new safety and regulations challenges, as these new systems must safely fit into an already complex environment. The implementation of VTOL and AAM into European civil aviation would benefit from the adoption of holistic systemic approaches to managing both primary and emergent risks, which could be reflected in updated regulations and guidance manuals for relevant approvals to operate these disruptive aviation technologies. To this end, this study proposes a methodology leveraging System-Theoretic Process Analysis (STPA) as a baseline to assess territories readiness for VTOL operations through an application of the Air Taxi Readiness Index (ATRI). This methodology helps derive further regulatory specifications and guidelines that must be complied with to ensure safe operations. For demonstration purposes, the methodology is applied to two anonymized European sites to evaluate their preparedness for VTOL operations. The results indicate the readiest site for accommodating safe vertiport operations, highlights specific weaknesses that can be addressed by implementing appropriately defined safety constraints and requirements. The methodology is designed to support both policymakers and operators in decision-making processes regarding design, localization, and operation of vertiports, ensuring safe and efficient integration of VTOL solutions.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"198 ","pages":"Article 107146"},"PeriodicalIF":5.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386770","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}

引用次数: 0

Improving system design to support resilience through self-organisation: The case of a network of labour inspectors for accident investigations 通过自组织改进系统设计以支持弹性：事故调查劳动检查员网络的案例

IF 5.4 1区工程技术

Safety Science Pub Date : 2026-06-01 Epub Date: 2026-02-14 DOI: 10.1016/j.ssci.2026.107147

Bruna Carolina de Quadros , Tarcisio Abreu Saurin , Stela Xavier Terra

{"title":"Improving system design to support resilience through self-organisation: The case of a network of labour inspectors for accident investigations","authors":"Bruna Carolina de Quadros , Tarcisio Abreu Saurin , Stela Xavier Terra","doi":"10.1016/j.ssci.2026.107147","DOIUrl":"10.1016/j.ssci.2026.107147","url":null,"abstract":"<div><div>Although resilient performance through self-organisation is intrinsic to complex sociotechnical systems, it might benefit from system design. To explore how to design such supportive system, this article presents a case study of an advice-seeking network among government labour inspectors responsible for accident investigations in Brazil. This network emerged from the self-organisation of inspectors and is not part of the formal design of the labour inspectorate system. The method involved a social network analysis (SNA) survey that ranked inspectors based on an indicator that reflected their contribution to system resilience. A follow-up survey gathered improvement suggestions. These improvements were justified based on the SNA results and resilience concepts. Findings revealed a low-density network reliant on a few key actors who were experts in generalist management regulations. Nevertheless, even peripheral actors were deemed reliable sources for industry-specific regulatory advice. Improvements aimed to identify and facilitate access to experts, improve access to prior investigation findings, and expand inspectors’ knowledge. These measures reduce dependence on key individuals, shorten the path to reach them, and enrich the quality of interactions. An emerging framework that integrates SNA, a resilience-based ranking of inspectors, and a feedback-based redesign process is presented. This framework is a methodological contribution intended to support resilience through self-organisation in collaborative networks.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"198 ","pages":"Article 107147"},"PeriodicalIF":5.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386774","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}

引用次数: 0

Generative artificial intelligence and urban transport resilience: Rethinking sustainable mobility 生成式人工智能与城市交通弹性：重新思考可持续交通

IF 5.4 1区工程技术

Safety Science Pub Date : 2026-06-01 Epub Date: 2026-02-16 DOI: 10.1016/j.ssci.2026.107148

Jinran Wu , Xin Tian , Qingyang Liu , Tong Li , Chanjuan Liu , Jing Xu , Huida Zhao

{"title":"Generative artificial intelligence and urban transport resilience: Rethinking sustainable mobility","authors":"Jinran Wu , Xin Tian , Qingyang Liu , Tong Li , Chanjuan Liu , Jing Xu , Huida Zhao","doi":"10.1016/j.ssci.2026.107148","DOIUrl":"10.1016/j.ssci.2026.107148","url":null,"abstract":"<div><div>Urban transport systems face compounding shocks, cascading failures, and rapid context shifts that challenge conventional artificial intelligence (AI) tools designed for structured inputs and stable data regimes. Generative artificial intelligence (GAI) expands disruption management by enabling interaction with heterogeneous information, evidence-grounded synthesis, scenario generation under deep uncertainty, and decision support. This review maps the emerging field and clarifies how GAI can strengthen urban transport resilience while introducing new safety-critical risks. We first conduct a dual-corpus bibliometric analysis of Web of Science Core Collection (2016–2025), covering 1670 AI and resilience publications and a 114-paper GAI subset. We then develop a phase-linked framework that connects four GAI roles — information extraction, knowledge integration, scenario generation, and decision support — to the resilience phases of absorption, adaptation, recovery, and transformation. Synthesising empirical studies across transport operations, planning, and Earth observation (EO) and remote-sensing vision-language model (VLM)–large language model (LLM) pipelines, we find that current evidence is strongest at the capability level, whereas phase-specific transport impacts are less routinely quantified under real operational constraints. Finally, we translate these gaps into an agenda for evaluation and governance, emphasising reliability and uncertainty communication, cybersecurity, data governance and interoperability, and equity-oriented public value.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"198 ","pages":"Article 107148"},"PeriodicalIF":5.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386316","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}

引用次数: 0

Personalized driving stress assessment for enhanced safety: An explainable multimodal framework 提高安全性的个性化驾驶压力评估：一个可解释的多模式框架

IF 5.4 1区工程技术

Safety Science Pub Date : 2026-06-01 Epub Date: 2026-03-02 DOI: 10.1016/j.ssci.2026.107164

Liu Yang , Wenhao Liu , Jiaqiang Wen , Shuo Zhao , Yunzhou Song

{"title":"Personalized driving stress assessment for enhanced safety: An explainable multimodal framework","authors":"Liu Yang , Wenhao Liu , Jiaqiang Wen , Shuo Zhao , Yunzhou Song","doi":"10.1016/j.ssci.2026.107164","DOIUrl":"10.1016/j.ssci.2026.107164","url":null,"abstract":"<div><div>Driving stress has been recognized as an indirect factor increasing the risk of traffic accidents. However, current research predominantly focuses on detection accuracy, often overlooking individual differences in stress response and the underlying mechanisms through which stress influences traffic safety. To address this gap, this study conducted a driving stress simulation experiment involving 44 participants across 10 scenarios, collecting electrocardiogram (ECG), driving behavior, and demographic data. The dataset was first partitioned by gender and occupation to account for individual variability. A Stacking ensemble model was constructed to classify low, medium, and high levels of driving stress. The optimal algorithm was subsequently selected for feature combination experiments, comparing the performance of unimodal and multimodal models while assessing individual differences. Additionally, we further combine SHAP with decision tree-based mining to uncover heterogeneous stress-feature relationships and to derive fuzzy rules associated with stress levels. Results demonstrate that integrating ECG, behavioral, and age features improved the average recognition accuracy by 23.12% compared to using ECG features alone. Following personalisation partitioning at the data layer, stable performance differences emerged across gender and occupational subsets. SHAP analysis further revealed distinct associations between driving stress and age, speed, rotational speed, as well as time-domain and frequency-domain ECG features, depending on drivers’ gender and occupation. The proposed framework contributes to the accurate identification of driving stress and provides valuable insights into stress response patterns across different population groups, with important implications for traffic safety.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"198 ","pages":"Article 107164"},"PeriodicalIF":5.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386732","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}

引用次数: 0

Assessing safety culture in the energy industry: empirical validation of the SCEQ-E 评估能源行业的安全文化：SCEQ-E的实证验证

IF 5.4 1区工程技术

Safety Science Pub Date : 2026-06-01 Epub Date: 2026-02-23 DOI: 10.1016/j.ssci.2026.107160

Kate Wray , Mario Martínez-Córcoles

{"title":"Assessing safety culture in the energy industry: empirical validation of the SCEQ-E","authors":"Kate Wray , Mario Martínez-Córcoles","doi":"10.1016/j.ssci.2026.107160","DOIUrl":"10.1016/j.ssci.2026.107160","url":null,"abstract":"<div><div>This paper presents the adaptation and empirical validation of a tool to assess safety culture enactment in the energy sector. The Safety Culture Enactment Questionnaire-Energy (SCEQ-E) is an adapted version of the SCEQ (De Castro et al., 2017), originally developed for the nuclear industry and validated in Spanish. The SCEQ-E extends this instrument to the broader energy industry and was administered to employees working in different energy organizations (N = 146). The original questionnaire was translated into English, adapted to the energy sector, and reviewed by industry experts. Exploratory factor analysis supported a three-factor structure and two items were removed due to cross-loadings. Confirmatory factor analysis provided support for the proposed three-factor model, showing acceptable model fit and strong internal consistency for the total scale and subscales. The SCEQ-E also demonstrated good convergent validity and evidence of discriminant validity in relation to safety climate. Overall, the results indicate that the SCEQ-E provides initial evidence of reliability and construct validity and represents a promising instrument for assessing safety culture enactment in the energy industry, although further validation using larger and more diverse samples is warranted.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"198 ","pages":"Article 107160"},"PeriodicalIF":5.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386310","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}

引用次数: 0

Risk assessment of hydrogen systems: a review and comparison of frameworks and guidelines from Norwegian regulators 氢系统的风险评估：挪威监管机构框架和指导方针的审查和比较

IF 5.4 1区工程技术

Safety Science Pub Date : 2026-06-01 Epub Date: 2026-02-19 DOI: 10.1016/j.ssci.2026.107163

Ingrid Glette-Iversen, Dikshya Bhandari, Jon Tømmerås Selvik

{"title":"Risk assessment of hydrogen systems: a review and comparison of frameworks and guidelines from Norwegian regulators","authors":"Ingrid Glette-Iversen, Dikshya Bhandari, Jon Tømmerås Selvik","doi":"10.1016/j.ssci.2026.107163","DOIUrl":"10.1016/j.ssci.2026.107163","url":null,"abstract":"<div><div>The transition towards hydrogen as a sustainable energy carrier has increased the focus on ensuring its safe implementation across various applications. A key instrument to obtain a satisfactory level of safety is adherence to regulatory frameworks and guidelines. However, the hydrogen industry faces a complex landscape of various frameworks and guidelines from different regulatory bodies. This complexity could result in inconsistent practices for hydrogen safety across sectors, such as maritime, transportation systems and industry. In Norway, this issue is exemplified by the differing frameworks and guidelines set by the Norwegian Ocean Industry Authority (Havtil), the Norwegian Maritime Authority (NMA) and the Norwegian Directorate for Civil Protection (DSB). In this paper, we present a qualitative comparative analysis of existing risk analysis frameworks and guidelines referred to by the aforementioned Norwegian regulatory bodies. The main purpose is to examine the key principles, methodologies and approaches, highlighting potential differences and conflicts in regulatory expectations. The findings reveal significant differences when it comes to how the frameworks define fundamental concepts, integrate human and organizational factors, address uncertainty and knowledge aspects and establish principles for risk evaluation and acceptance. These variations have implications for the coherence and suitability of risk assessment practices for hydrogen systems and activities. The paper concludes with recommendations to enhance the coherence and consistency of safety practices within the hydrogen sector, with the aim of facilitating a safer and more efficient adoption of hydrogen technologies across industries.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"198 ","pages":"Article 107163"},"PeriodicalIF":5.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386289","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}

引用次数: 0

Crossing Confidently: The role of Walking speed and visual exploration in older Adults’ Street-Crossing decisions 自信地过马路：行走速度和视觉探索在老年人过马路决策中的作用

IF 5.4 1区工程技术

Safety Science Pub Date : 2026-06-01 Epub Date: 2026-02-27 DOI: 10.1016/j.ssci.2026.107149

A. Anic , T.B. McGuckian , A.J. Carrigan , P. Wilson , D.A Greene , J. Duckworth , L.P Thong , R. Eldridge , M. Psarakis , A.C. McKinnon , J.M. Bennett

{"title":"Crossing Confidently: The role of Walking speed and visual exploration in older Adults’ Street-Crossing decisions","authors":"A. Anic , T.B. McGuckian , A.J. Carrigan , P. Wilson , D.A Greene , J. Duckworth , L.P Thong , R. Eldridge , M. Psarakis , A.C. McKinnon , J.M. Bennett","doi":"10.1016/j.ssci.2026.107149","DOIUrl":"10.1016/j.ssci.2026.107149","url":null,"abstract":"<div><div>Older adults (> 65 years old) are vulnerable road users who are overrepresented in collisions with vehicles. Apart from walking speed, visual function and visual exploration factors may explain the street-crossing behaviours contributing to the increased risk. Although previous research compared street-crossing behaviour profiles between younger and older adults, no studies investigated the relative role of visual function and visual exploration of older adults in detecting hazards and identifying safe gaps. 101 older adult pedestrians (<em>Mage</em> = 68.83, <em>SDage</em> = 5.25; 60–83 years old) completed a suite of visual function and physical tasks. Hazard perception and gap acceptance tasks were administered via an established pedestrian street crossing virtual reality (VR) paradigm. Head and eye movements were measured using VR. We showed that walking speed did not predict hazard perception and gap acceptance suggesting walking speed was not factored when crossing the street, which may increase their risk. Contrast sensitivity significantly predicted hazard perception response time; whereas, visual acuity, head turn excursions, and the number of fixations predicted the number of correct responses within the hazard perception time window. For gap acceptance, the results showed that head turn frequency significantly predicted response time and the number of correct responses in the gap acceptance window. The findings show that contrast sensitivity is associated with improved hazard perception, whereas head movements is associated with safe crossing decisions in older adults. Street crossing is complex with specific visual exploration and visual function factors contributing uniquely to gap acceptance and hazard perception in older adult pedestrians.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"198 ","pages":"Article 107149"},"PeriodicalIF":5.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386314","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}

引用次数: 0

A multi-stage modeling framework for pedestrian exit choice: Decision-node identification and cross-scenario validation 行人出口选择的多阶段建模框架：决策节点识别和跨场景验证

IF 5.4 1区工程技术

Safety Science Pub Date : 2026-06-01 Epub Date: 2026-02-17 DOI: 10.1016/j.ssci.2026.107151

Weiqiao Ruan , Jia Liu , Hongqin Tang , Jianping Zhu , Chang Liu

{"title":"A multi-stage modeling framework for pedestrian exit choice: Decision-node identification and cross-scenario validation","authors":"Weiqiao Ruan , Jia Liu , Hongqin Tang , Jianping Zhu , Chang Liu","doi":"10.1016/j.ssci.2026.107151","DOIUrl":"10.1016/j.ssci.2026.107151","url":null,"abstract":"<div><div>Accurately understanding and predicting pedestrian exit choice during evacuations is a critical scientific issue for enhancing public safety management. Addressing the limitations of existing studies in terms of data realism, incomplete process modeling, and cross-scenario applicability, this paper proposes a multi-stage modeling framework for pedestrian exit choice. Grounded in behavioral science theories, a stage division procedure and identification criteria based on decision nodes are developed. Furthermore, a video-based trajectory extraction and analysis method is introduced to construct large-scale structured pedestrian data, upon which stage-specific discrete choice models are employed to capture exit choice behaviors at different stages. Through cross-scenario case studies of daily routine egress in a metro station and emergency evacuation during an earthquake in a university library, the adaptability and effectiveness of the proposed framework are demonstrated. Results reveal significant scenario and stage dependence in evacuation behavior. Under normal conditions, pedestrian decision-making is guided by convenience, with visibility and distance being dominant factors. In contrast, during emergencies, the decision mode shifts toward efficiency, with flow speed emerging as a key determinant. Moreover, as evacuation progresses into later stages, pedestrians exhibit heightened crowding sensitivity and stronger herding behavior. Differentiated management strategies are proposed accordingly. Bootstrap resampling and agent-based simulations further confirm the robustness and predictive accuracy of the proposed framework. The main contribution of this study lies in establishing a systematic multi-stage evacuation modeling paradigm that links behavioral theory with predictive choice models, quantifies the behavioral shifts across both different scenarios and evacuation stages, and provides a methodological basis for analyzing the entire evacuation process.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"198 ","pages":"Article 107151"},"PeriodicalIF":5.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386772","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}

引用次数: 0

Machine learning in pedestrian and evacuation dynamics for the built environment: A systematic literature review 机器学习在行人和疏散动力学的建筑环境：系统的文献综述

IF 5.4 1区工程技术

Safety Science Pub Date : 2026-06-01 Epub Date: 2026-02-23 DOI: 10.1016/j.ssci.2026.107143

Patrick Berggold, Ana Čukarska, Stavros Nousias, Felix Dietrich, André Borrmann

{"title":"Machine learning in pedestrian and evacuation dynamics for the built environment: A systematic literature review","authors":"Patrick Berggold, Ana Čukarska, Stavros Nousias, Felix Dietrich, André Borrmann","doi":"10.1016/j.ssci.2026.107143","DOIUrl":"10.1016/j.ssci.2026.107143","url":null,"abstract":"<div><div>The study of pedestrian and crowd movement has produced a plethora of publications over the past decades. Numerous knowledge-based models have been developed to describe, analyze and predict human motion behavior, particularly with respect to evacuation analysis to ensure public safety. In recent years, Machine Learning (ML) models have become widely successful across many disciplines, including applications for human behavior in the built environment, city planning, robotics and autonomous driving. In this review article, based on a systematic search of the Scopus database (2022–2024), we present a comprehensive overview of ML-based pedestrian and crowd models, highlighting the most popular approaches, as well as modern data collection methods that have led to public benchmark datasets and increasingly standardized model validation techniques. We analyze ML models that provide insights into crowd movement and evacuation performance, potentially supporting building design and safety assessment in the built environment, while outlining similarities and differences between these models with regards to behavioral traits such as goal-driven behavior and collision avoidance. Moreover, we review the involved learning paradigms, including supervised and reinforcement learning, and the associated quantities of interest that can be predicted, such as velocity, density, flow, and evacuation time.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"198 ","pages":"Article 107143"},"PeriodicalIF":5.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386775","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}

引用次数: 0

How do workers decide to work safely? Mechanisms of occupational safety decision-making failure 工人如何决定安全工作？职业安全决策失效的机制

IF 5.4 1区工程技术

Safety Science Pub Date : 2026-06-01 Epub Date: 2026-02-18 DOI: 10.1016/j.ssci.2026.107144

Yang Liu , Gui Ye , Qingting Xiang , Sen Wang

{"title":"How do workers decide to work safely? Mechanisms of occupational safety decision-making failure","authors":"Yang Liu , Gui Ye , Qingting Xiang , Sen Wang","doi":"10.1016/j.ssci.2026.107144","DOIUrl":"10.1016/j.ssci.2026.107144","url":null,"abstract":"<div><div>Occupational safety decision-making failures among employees represent a fundamental challenge for organizations, as such failures area significant factorin unsafe behaviors and accidents. However, the specific causes of occupational safety decision-making failure remain inadequately understood. To address this research gap, this study explores the mechanisms of occupational safety decision-making failure from the perspective of the matching degree between safety decision-making capability and task demands. Drawing on the task-capability interface model and resource limitation theory, this study proposes that a U-shaped relationship between the matching degree of safety decision-making capability and task demands, and safety decision-making failure. Through an experimental vignette study involving 252 industry employees and hierarchical regression analysis, the study validates the proposed model. The results indicate that the impact of the matching degree between safety decision-making capability and task demands on safety decision-making failure is U-shaped. Additionally, optimism bias moderates this U-shaped relationship. Theoretically, this study is the first to propose and validate the U-shaped impact of safety decision-making capability-task demand matching degree on safety decision-making failure. This finding not only deepens the understanding of the potential mechanisms of occupational safety decision-making failure but also contributes to the development of the task-capability interface model. Practically, the study emphasizes the importance of dynamically balancing safety decision-making capability and task demands. Organizations should not only prevent risks arising from insufficient safety decision-making capability relative to task demands but also avoid decision laxity and distraction caused by excessive capability. This balance ensures optimal decision-making and reduces occupational safety accidents.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"198 ","pages":"Article 107144"},"PeriodicalIF":5.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386771","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}

引用次数: 0