Pub Date : 2025-10-29DOI: 10.1016/j.ssci.2025.107016
Enrico Cagno , Alessandra Neri , Sandra N. Morioka , Guido J.L. Micheli , Samuele Paredi , Ivan Bolis
Although occupational safety and operations are interrelated domains, they are usually considered separately. A deeper knowledge and understanding of their interdependences would benefit manufacturing companies. While industrial decision-makers are responsible for decision-making on interventions implementation, their perspectives are often overlooked. This study analyses 55 safety and operational interventions implemented by 20 Italian manufacturing small and medium enterprises from the perspective of industrial decision-makers, adopting a qualitative empirical approach. The study argues for a better understanding of the decision-making process for safety and operational interventions to promote mutual benefits. We call on manufacturing companies to recognise that decision-makers have bounded rationalities; to go beyond instrumental rationality; to promote communicative rationality through cooperation and collaboration, integrating the different perspectives of various stakeholders; and to integrate a more substantive rationality by fostering cultural values associated with caring for people and nature to achieve deeper improvements. The study further suggests a purpose-driven participatory decision-making process to foster more holistic and effective intervention outcomes, purposefully bridging safety and operations. Thus, this study builds on previous theoretical indication of the need to open the black box of industrial decision-makers rationalities.
{"title":"Fostering the mutual safety and operational outcomes from manufacturing SMEs’ interventions: The missing link of decision rationalities","authors":"Enrico Cagno , Alessandra Neri , Sandra N. Morioka , Guido J.L. Micheli , Samuele Paredi , Ivan Bolis","doi":"10.1016/j.ssci.2025.107016","DOIUrl":"10.1016/j.ssci.2025.107016","url":null,"abstract":"<div><div>Although occupational safety and operations are interrelated domains, they are usually considered separately. A deeper knowledge and understanding of their interdependences would benefit manufacturing companies. While industrial decision-makers are responsible for decision-making on interventions implementation, their perspectives are often overlooked. This study analyses 55 safety and operational interventions implemented by 20 Italian manufacturing small and medium enterprises from the perspective of industrial decision-makers, adopting a qualitative empirical approach. The study argues for a better understanding of the decision-making process for safety and operational interventions to promote mutual benefits. We call on manufacturing companies to recognise that decision-makers have bounded rationalities; to go beyond instrumental rationality; to promote communicative rationality through cooperation and collaboration, integrating the different perspectives of various stakeholders; and to integrate a more substantive rationality by fostering cultural values associated with caring for people and nature to achieve deeper improvements. The study further suggests a purpose-driven participatory decision-making process to foster more holistic and effective intervention outcomes, purposefully bridging safety and operations. Thus, this study builds on previous theoretical indication of the need to open the black box of industrial decision-makers rationalities.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"194 ","pages":"Article 107016"},"PeriodicalIF":5.4,"publicationDate":"2025-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145374524","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}
Pub Date : 2025-10-28DOI: 10.1016/j.ssci.2025.107035
Xingqin Qu , Jie Yin , Yensen Ni
This study investigates the influence of public health risk mitigation measures on exhibition engagement intentions, emphasizing their role in enhancing safety and participant involvement. As safety becomes increasingly critical, the research highlights how effective risk mitigation strategies can reduce anxiety, bolster perceptions of security, and foster visitor confidence, directly driving engagement. The moderating effect of perceived vaccine effectiveness is also analyzed, offering practical insights for exhibition organizers to sustain attendance and engagement during public health crises. Through fuzzy set qualitative comparative analysis (fsQCA), the study reveals three distinct configurations of factors that underpin engagement intentions, providing a comprehensive understanding of decision-making in crisis contexts. These findings advance safety science by demonstrating how strong risk management practices can mitigate uncertainties and ensure the resilience of exhibitions in rapidly changing environments, offering valuable implications for researchers and industry professionals dedicated to enhancing safety and engagement.
{"title":"The power of safety: How public health measures influence exhibition attendance and engagement","authors":"Xingqin Qu , Jie Yin , Yensen Ni","doi":"10.1016/j.ssci.2025.107035","DOIUrl":"10.1016/j.ssci.2025.107035","url":null,"abstract":"<div><div>This study investigates the influence of public health risk mitigation measures on exhibition engagement intentions, emphasizing their role in enhancing safety and participant involvement. As safety becomes increasingly critical, the research highlights how effective risk mitigation strategies can reduce anxiety, bolster perceptions of security, and foster visitor confidence, directly driving engagement. The moderating effect of perceived vaccine effectiveness is also analyzed, offering practical insights for exhibition organizers to sustain attendance and engagement during public health crises. Through fuzzy set qualitative comparative analysis (fsQCA), the study reveals three distinct configurations of factors that underpin engagement intentions, providing a comprehensive understanding of decision-making in crisis contexts. These findings advance safety science by demonstrating how strong risk management practices can mitigate uncertainties and ensure the resilience of exhibitions in rapidly changing environments, offering valuable implications for researchers and industry professionals dedicated to enhancing safety and engagement.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"194 ","pages":"Article 107035"},"PeriodicalIF":5.4,"publicationDate":"2025-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145374526","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}
Pub Date : 2025-10-25DOI: 10.1016/j.ssci.2025.107036
Milad Haghani , Annikka Burge , Sara Fazeli
Crowd safety risks manifest in different forms and can have significant consequences. While top-down interventions, such as regulations and engineering controls, are critical, the role of individual crowd members in risk resilience is often underestimated; that is, how their preparedness level and actions can meaningfully reduce risks or mitigate their impact. This study follows the concept of the Swiss Cheese Model of Crowd Safety by highlighting the overlooked value of community-embedded measures, i.e., the bottom-up grassroots safety approaches, as a risk mitigation tool. We argue this must start with breaking down and quantifying community resilience. However, there is currently no existing metric or standardised tool to systematically assess community readiness. Here, we address this gap by introducing the concept of Crowd Safety Culture as a measurable, multifaceted construct encompassing (i) attitudes, (ii) situational awareness and vigilance, (iii) risk aversion, (iv) knowledge and actions, and (v) social norms. A self-report instrument is developed to quantify and measure this construct, alongside a specialised and related instrument designed to measure preparedness specifically for terrorism-related risks in crowded spaces. The results demonstrate that scores on the two scales correlate positively and significantly, supporting their conceptual overlap. Factor analyses confirm five key dimensions for crowd safety culture and three distinct dimensions for terrorism preparedness. Validation is further tested using perceptual measures of stated risk tolerance and objective knowledge-based questions. Crowd safety culture score demonstrated a moderate ability to predict risk-taking behaviour, with higher scores associated with a reduced tendency to join crowds in risky conditions. Females scored higher on safety culture, while males scored higher on terrorism preparedness. Older individuals scored higher than younger in safety culture, while no significant differences in terrorism preparedness were observed. These instruments are designed to uncover potential demographic-, profile-, or culture-specific differences and provide standardised empirical tools to assess and proactively monitor the state of crowd safety culture and preparedness at a community level. More importantly, they can serve as an empirical foundation for developing targeted evidence-based behavioural interventions and educational campaigns to enhance community-level safety and resilience from the ground up.
{"title":"Measuring community resilience to crowd safety risks: Development of the Crowd Safety Culture and Terrorism Preparedness scales","authors":"Milad Haghani , Annikka Burge , Sara Fazeli","doi":"10.1016/j.ssci.2025.107036","DOIUrl":"10.1016/j.ssci.2025.107036","url":null,"abstract":"<div><div>Crowd safety risks manifest in different forms and can have significant consequences. While top-down interventions, such as regulations and engineering controls, are critical, the role of individual crowd members in risk resilience is often underestimated; that is, how their preparedness level and actions can meaningfully reduce risks or mitigate their impact. This study follows the concept of <em>the Swiss Cheese Model of Crowd Safety</em> by highlighting the overlooked value of community-embedded measures, i.e., the bottom-up grassroots safety approaches, as a risk mitigation tool. We argue this must start with breaking down and quantifying community resilience. However, there is currently no existing metric or standardised tool to systematically assess community readiness. Here, we address this gap by introducing the concept of <em>Crowd Safety Culture</em> as a measurable, multifaceted construct encompassing (i) attitudes, (ii) situational awareness and vigilance, (iii) risk aversion, (iv) knowledge and actions, and (v) social norms. A self-report instrument is developed to quantify and measure this construct, alongside a specialised and related instrument designed to measure preparedness specifically for terrorism-related risks in crowded spaces. The results demonstrate that scores on the two scales correlate positively and significantly, supporting their conceptual overlap. Factor analyses confirm five key dimensions for crowd safety culture and three distinct dimensions for terrorism preparedness. Validation is further tested using perceptual measures of stated risk tolerance and objective knowledge-based questions. Crowd safety culture score demonstrated a moderate ability to predict risk-taking behaviour, with higher scores associated with a reduced tendency to join crowds in risky conditions. Females scored higher on safety culture, while males scored higher on terrorism preparedness. Older individuals scored higher than younger in safety culture, while no significant differences in terrorism preparedness were observed. These instruments are designed to uncover potential demographic-, profile-, or culture-specific differences and provide standardised empirical tools to assess and proactively monitor the state of crowd safety culture and preparedness at a community level. More importantly, they can serve as an empirical foundation for developing targeted evidence-based behavioural interventions and educational campaigns to enhance community-level safety and resilience from the ground up.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"193 ","pages":"Article 107036"},"PeriodicalIF":5.4,"publicationDate":"2025-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145425132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Safety performance is a critical concept in safety management and research across the construction industry. Effective safety management relies on an understanding of past, present, and expected performance to inform decision-making. Despite extensive research and practical applications in the construction industry, there is no consensus regarding how to conceptualize and measure safety performance. This study reviews 231 scientific articles to explore different definitions, applications, and measurements of safety performance in construction safety research. The findings reveal four main categories of safety performance concepts: loss-based, safety management-based, behavior-based, and mixed approaches. The lack of clear definitions and the heterogeneity of conceptualizations contribute to ambiguity in safety research, posing challenges for communication and theory development. However, this diversity also offers a broader range of measures for practitioners. Awareness of these variations is crucial for the effective communication and application of safety performance metrics in both research and practice.
{"title":"What is safety performance? A systematic review of conceptualizations in the construction safety research","authors":"Casper Pilskog Orvik , Eirik Albrechtsen , Trond Kongsvik , Siri Mariane Holen , Lene Elisabeth Bertheussen , Stine Thordarson Moltubakk","doi":"10.1016/j.ssci.2025.107025","DOIUrl":"10.1016/j.ssci.2025.107025","url":null,"abstract":"<div><div>Safety performance is a critical concept in safety management and research across the construction industry. Effective safety management relies on an understanding of past, present, and expected performance to inform decision-making. Despite extensive research and practical applications in the construction industry, there is no consensus regarding how to conceptualize and measure safety performance. This study reviews 231 scientific articles to explore different definitions, applications, and measurements of safety performance in construction safety research. The findings reveal four main categories of safety performance concepts: loss-based, safety management-based, behavior-based, and mixed approaches. The lack of clear definitions and the heterogeneity of conceptualizations contribute to ambiguity in safety research, posing challenges for communication and theory development. However, this diversity also offers a broader range of measures for practitioners. Awareness of these variations is crucial for the effective communication and application of safety performance metrics in both research and practice.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"193 ","pages":"Article 107025"},"PeriodicalIF":5.4,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145364659","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}
Pub Date : 2025-10-21DOI: 10.1016/j.ssci.2025.107029
Benjamyn I. Scott , Öykü Kurtpınar
To ensure the safe, secure and sustainable integration of unmanned aircraft (drones) into society, authorities are revoking, amending and introducing laws to govern this diverse and growing sector. Two main approaches have been utilised from the different regulatory approaches that are available to regulators. The International Civil Aviation Organization (ICAO) has, for example, stated that 18 out of the 19 Annexes to the Convention on International Civil Aviation 1944 will be amended. ICAO is integrating the specific drone requirements into the existing requirements. On the other hand, the EU has opted to issue drone-specific Regulations, as opposed to weaving drones into the existing EU acquis. Therefore, the EU is differentiating the drone requirements from the existing regulatory system. These early regulatory steps are focused on ensuring an acceptable level of safety. This has, however, had the consequence of determining the wider regulatory approach. While the choice of regulatory approach can be seen as either an integrated or differentiated one, this is a superficial conclusion. There is an illusion of choice; drones are aircraft and shall be regulated as such. As operations become more prevalent and complex, it becomes relevant to assess the impact of this regulatory approach – which is rooted in the safety domain – on other regulated areas. This paper analyses these regulatory approaches, whether the regulators had a choice and what are the wider consequences, in order to draw conclusions and provide implementable recommendations.
{"title":"Safety first, safety’s choice: regulating unmanned aircraft and an illusion of choice","authors":"Benjamyn I. Scott , Öykü Kurtpınar","doi":"10.1016/j.ssci.2025.107029","DOIUrl":"10.1016/j.ssci.2025.107029","url":null,"abstract":"<div><div>To ensure the safe, secure and sustainable integration of unmanned aircraft (drones) into society, authorities are revoking, amending and introducing laws to govern this diverse and growing sector. Two main approaches have been utilised from the different regulatory approaches that are available to regulators. The International Civil Aviation Organization (ICAO) has, for example, stated that 18 out of the 19 Annexes to the Convention on International Civil Aviation 1944 will be amended. ICAO is integrating the specific drone requirements into the existing requirements. On the other hand, the EU has opted to issue drone-specific Regulations, as opposed to weaving drones into the existing EU acquis. Therefore, the EU is differentiating the drone requirements from the existing regulatory system. These early regulatory steps are focused on ensuring an acceptable level of safety. This has, however, had the consequence of determining the wider regulatory approach. While the choice of regulatory approach can be seen as either an integrated or differentiated one, this is a superficial conclusion. There is an illusion of choice; drones are aircraft and shall be regulated as such. As operations become more prevalent and complex, it becomes relevant to assess the impact of this regulatory approach – which is rooted in the safety domain – on other regulated areas. This paper analyses these regulatory approaches, whether the regulators had a choice and what are the wider consequences, in order to draw conclusions and provide implementable recommendations.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"193 ","pages":"Article 107029"},"PeriodicalIF":5.4,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145364658","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}
Pub Date : 2025-10-17DOI: 10.1016/j.ssci.2025.107027
Lay Eng Teoh, Jin Wang Chang, Hooi Ling Khoo
Floods have emerged as a worldwide challenging disaster primarily due to global warming. Thus, ensuring an adequate heterogeneous evacuation fleet to promptly evacuate affected victims is of utmost importance. Correspondingly, properly coordinated evacuation fleet planning should explicitly unify both aspects of demand (number of victims) and supply (provision of evacuation vehicles). However, the demand and supply aspects are rarely explored simultaneously in past studies. By embedding a novel 3-step victim demand modeling framework, this study develops a scenario-based heterogeneous fleet planning model to maximize the total number of victims evacuated from disaster areas and minimize the composition of heterogeneous evacuation vehicles. The proposed approach can capture evacuation demand and supply in a single unified framework to solve flood evacuation problems under different flooding scenarios, including low/moderate and high water levels. By analyzing an illustrative case study for the context of Malaysia, several insightful results are revealed: (1) the probable demand level of victims for evacuation would vary greatly under different flood severity due to numerous influential factors; (2) varying compositions of evacuation vehicles (buses, vans, lorries, and boats) would be optimally required to evacuate different clusters of affected victims; (3) incorporating fleet adjustment strategy would impact the total evacuation time to a certain extent. (4) the proposed approach is computationally efficient to yield the optimal fleet planning decisions. Concisely, it is anticipated that the proposed bi-objective fleet planning approach, which possesses beneficial managerial implications, could assist relevant stakeholders, especially emergency planners and rescue teams, in implementing a smart evacuation strategy.
{"title":"A scenario-based heterogeneous fleet planning with victim demand modeling for flood evacuation","authors":"Lay Eng Teoh, Jin Wang Chang, Hooi Ling Khoo","doi":"10.1016/j.ssci.2025.107027","DOIUrl":"10.1016/j.ssci.2025.107027","url":null,"abstract":"<div><div>Floods have emerged as a worldwide challenging disaster primarily due to global warming. Thus, ensuring an adequate heterogeneous evacuation fleet to promptly evacuate affected victims is of utmost importance. Correspondingly, properly coordinated evacuation fleet planning should explicitly unify both aspects of demand (number of victims) and supply (provision of evacuation vehicles). However, the demand and supply aspects are rarely explored simultaneously in past studies. By embedding a novel 3-step victim demand modeling framework, this study develops a scenario-based heterogeneous fleet planning model to maximize the total number of victims evacuated from disaster areas and minimize the composition of heterogeneous evacuation vehicles. The proposed approach can capture evacuation demand and supply in a single unified framework to solve flood evacuation problems under different flooding scenarios, including low/moderate and high water levels. By analyzing an illustrative case study for the context of Malaysia, several insightful results are revealed: (1) the probable demand level of victims for evacuation would vary greatly under different flood severity due to numerous influential factors; (2) varying compositions of evacuation vehicles (buses, vans, lorries, and boats) would be optimally required to evacuate different clusters of affected victims; (3) incorporating fleet adjustment strategy would impact the total evacuation time to a certain extent. (4) the proposed approach is computationally efficient to yield the optimal fleet planning decisions. Concisely, it is anticipated that the proposed bi-objective fleet planning approach, which possesses beneficial managerial implications, could assist relevant stakeholders, especially emergency planners and rescue teams, in implementing a smart evacuation strategy.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"193 ","pages":"Article 107027"},"PeriodicalIF":5.4,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145333740","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}
Pub Date : 2025-10-16DOI: 10.1016/j.ssci.2025.107026
Tom W Reader , Alex Gillespie
Healthcare research increasingly observes that patients and families can be highly active in trying to prevent medical accidents. However, the safety literature lacks a model of these behaviors. Addressing this gap would not only advance understanding on how patients and families contribute to healthcare safety, but also provide a general framework for studying how non-employee stakeholders such as citizens and service-users influence safety outcomes in other organizational contexts. Therefore, the current study aimed to establish a model of the behaviors used by patients and families to prevent accidents and ensure safety whilst in hospital. Using a mixed qualitative-quantitative research design, we analyzed 1,857 healthcare complaints submitted by patients and families to UK hospitals reporting poor treatment experiences. Our analysis focused upon reports within the complaints of healthcare users engaging in (1) voicing behaviors to raise concerns about safety with staff and (2) correcting behaviors to directly resolve safety issues. Approximately three quarters of complaints reported patients and families having engaged in voicing and correcting behaviors, with them often doing so to ensure the resolution of missed and emerging safety problems. The behaviors contributed to hospital safety outcomes through helping staff to spot and resolve errors and hazards, intervening to ensure that safety standards were maintained, and bypassing teams and hospitals when they were judged as too unsafe. The study adds to the literature by establishing a framework for studying how the behaviors of non-employee stakeholders in healthcare and other domains contribute to organisational safety.
{"title":"The active patient: Voicing and correcting behaviors by patients and families to ensure safety in healthcare organizations","authors":"Tom W Reader , Alex Gillespie","doi":"10.1016/j.ssci.2025.107026","DOIUrl":"10.1016/j.ssci.2025.107026","url":null,"abstract":"<div><div>Healthcare research increasingly observes that patients and families can be highly active in trying to prevent medical accidents. However, the safety literature lacks a model of these behaviors. Addressing this gap would not only advance understanding on how patients and families contribute to healthcare safety, but also provide a general framework for studying how non-employee stakeholders such as citizens and service-users influence safety outcomes in other organizational contexts. Therefore, the current study aimed to establish a model of the behaviors used by patients and families to prevent accidents and ensure safety whilst in hospital. Using a mixed qualitative-quantitative research design, we analyzed 1,857 healthcare complaints submitted by patients and families to UK hospitals reporting poor treatment experiences. Our analysis focused upon reports within the complaints of healthcare users engaging in (1) <em>voicing</em> behaviors to raise concerns about safety with staff and (2) <em>correcting</em> behaviors to directly resolve safety issues. Approximately three quarters of complaints reported patients and families having engaged in voicing and correcting behaviors, with them often doing so to ensure the resolution of missed and emerging safety problems. The behaviors contributed to hospital safety outcomes through <em>helping</em> staff to spot and resolve errors and hazards, <em>intervening</em> to ensure that safety standards were maintained, and <em>bypassing</em> teams and hospitals when they were judged as too unsafe. The study adds to the literature by establishing a framework for studying how the behaviors of non-employee stakeholders in healthcare and other domains contribute to organisational safety.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"193 ","pages":"Article 107026"},"PeriodicalIF":5.4,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145333739","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}
Pub Date : 2025-10-16DOI: 10.1016/j.ssci.2025.107030
Jonathan Higgins, Marina Efthymiou, Ioannis Ropotos
The aviation industry maintains high safety standards, yet fatigue remains a persistent challenge among flight crew, with fatigue-related human error contributing to a significant proportion of accidents. This study investigates Controlled Rest (CR) as a countermeasure to fatigue in commercial aviation, assessing its acceptability and effectiveness from the perspective of pilots. Data were collected from 232 commercial pilots through a survey distributed across multiple regions and operational contexts, revealing that over 75% view CR as an effective countermeasure to fatigue. Approximately half the participants utilize CR weekly, with long-haul pilots reporting higher usage. Results indicate that CR is generally regarded as a safe, efficient tool for mitigating fatigue-related risks in flight operations, with a subset of pilots citing challenges in its implementation. Findings underscore the potential for CR to improve aviation safety and inform future fatigue management policies. Recommendations for integrating CR into Fatigue Risk Management Systems (FRMS) are discussed, providing actionable insights for regulators and operators.
{"title":"Improving flight safety through controlled rest: pilot practices and perceptions","authors":"Jonathan Higgins, Marina Efthymiou, Ioannis Ropotos","doi":"10.1016/j.ssci.2025.107030","DOIUrl":"10.1016/j.ssci.2025.107030","url":null,"abstract":"<div><div>The aviation industry maintains high safety standards, yet fatigue remains a persistent challenge among flight crew, with fatigue-related human error contributing to a significant proportion of accidents. This study investigates Controlled Rest (CR) as a countermeasure to fatigue in commercial aviation, assessing its acceptability and effectiveness from the perspective of pilots. Data were collected from 232 commercial pilots through a survey distributed across multiple regions and operational contexts, revealing that over 75% view CR as an effective countermeasure to fatigue. Approximately half the participants utilize CR weekly, with long-haul pilots reporting higher usage. Results indicate that CR is generally regarded as a safe, efficient tool for mitigating fatigue-related risks in flight operations, with a subset of pilots citing challenges in its implementation. Findings underscore the potential for CR to improve aviation safety and inform future fatigue management policies. Recommendations for integrating CR into Fatigue Risk Management Systems (FRMS) are discussed, providing actionable insights for regulators and operators.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"193 ","pages":"Article 107030"},"PeriodicalIF":5.4,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145333738","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}
Pub Date : 2025-10-15DOI: 10.1016/j.ssci.2025.107028
Moustafa Abdelwanis , Mecit Can Emre Simsekler , Adriana F. Gabor , Andrei Sleptchenko , Mohammad Omar
The adoption of artificial intelligence in healthcare holds great promise for improving clinical decision-making and patient safety, optimizing administrative processes, and ultimately enhancing patient outcomes. However, the successful and safe integration of AI technologies into clinical practice is hindered by several challenges and concerns. This study provides a systematic literature review to identify and analyze the key barriers with the aim of facilitating the successful implementation of AI-driven technologies in healthcare. Searches were conducted across Web of Science, PubMed, and Scopus, yielding 92 relevant studies. From these, 16 key barriers were identified, including data quality and bias, infrastructure limitations, financial constraints, workflow misalignment, inadequate training, and issues of transparency and accountability. These challenges were subsequently categorized into three clusters using the Human-Organization-Technology (HOT) framework. Human-related challenges include insufficient training, resistance from healthcare providers, and the potential for increased workload. Technology-related challenges concern issues of accuracy, explainability, and the lack of contextual adaptability. Organizational challenges involve infrastructure limitations, inadequate leadership support, and regulatory constraints. To address these barriers, this study proposes a system-level conceptual framework designed to guide both the evaluation and the effective integration of AI into healthcare systems. The framework adopts a sequential structure comprising three main phases: assessment, implementation, and continuous monitoring. Therefore, it ensures that integration is both systematic and sustainable. By linking the identified barriers to targeted strategies across these phases, the framework provides a practical roadmap for overcoming challenges and advancing the safe and effective adoption of AI in healthcare.
人工智能在医疗保健领域的应用有望改善临床决策和患者安全,优化管理流程,并最终提高患者的治疗效果。然而,人工智能技术成功和安全地整合到临床实践中受到一些挑战和担忧的阻碍。本研究提供了一个系统的文献综述,以识别和分析主要障碍,目的是促进人工智能驱动技术在医疗保健领域的成功实施。在Web of Science、PubMed和Scopus上进行了搜索,产生了92项相关研究。从中确定了16个主要障碍,包括数据质量和偏见、基础设施限制、财务约束、工作流程不一致、培训不足以及透明度和问责制问题。这些挑战随后使用人类-组织-技术(HOT)框架分为三组。与人相关的挑战包括培训不足、医疗保健提供者的抵制以及工作量增加的可能性。与技术相关的挑战涉及准确性、可解释性和缺乏上下文适应性等问题。组织挑战包括基础设施限制、领导支持不足和监管约束。为了解决这些障碍,本研究提出了一个系统级概念框架,旨在指导人工智能的评估和有效整合到医疗系统中。该框架采用由三个主要阶段组成的顺序结构:评估、实现和持续监控。因此,它保证了整合的系统性和可持续性。通过将已确定的障碍与这些阶段的目标战略联系起来,该框架为克服挑战和推进人工智能在医疗保健领域的安全有效应用提供了实用路线图。
{"title":"Artificial intelligence adoption challenges from healthcare providers’ perspectives: A comprehensive review and future directions","authors":"Moustafa Abdelwanis , Mecit Can Emre Simsekler , Adriana F. Gabor , Andrei Sleptchenko , Mohammad Omar","doi":"10.1016/j.ssci.2025.107028","DOIUrl":"10.1016/j.ssci.2025.107028","url":null,"abstract":"<div><div>The adoption of artificial intelligence in healthcare holds great promise for improving clinical decision-making and patient safety, optimizing administrative processes, and ultimately enhancing patient outcomes. However, the successful and safe integration of AI technologies into clinical practice is hindered by several challenges and concerns. This study provides a systematic literature review to identify and analyze the key barriers with the aim of facilitating the successful implementation of AI-driven technologies in healthcare. Searches were conducted across Web of Science, PubMed, and Scopus, yielding 92 relevant studies. From these, 16 key barriers were identified, including data quality and bias, infrastructure limitations, financial constraints, workflow misalignment, inadequate training, and issues of transparency and accountability. These challenges were subsequently categorized into three clusters using the Human-Organization-Technology (HOT) framework. Human-related challenges include insufficient training, resistance from healthcare providers, and the potential for increased workload. Technology-related challenges concern issues of accuracy, explainability, and the lack of contextual adaptability. Organizational challenges involve infrastructure limitations, inadequate leadership support, and regulatory constraints. To address these barriers, this study proposes a system-level conceptual framework designed to guide both the evaluation and the effective integration of AI into healthcare systems. The framework adopts a sequential structure comprising three main phases: assessment, implementation, and continuous monitoring. Therefore, it ensures that integration is both systematic and sustainable. By linking the identified barriers to targeted strategies across these phases, the framework provides a practical roadmap for overcoming challenges and advancing the safe and effective adoption of AI in healthcare.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"193 ","pages":"Article 107028"},"PeriodicalIF":5.4,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145333742","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}
Pub Date : 2025-10-14DOI: 10.1016/j.ssci.2025.107024
Zhipeng Peng , Hengyan Pan , Yihe Huo , Chenzhu Wang , Said M. Easa , Yonggang Wang
Driver distraction significantly contributes to traffic accidents, with elevated workload being a key mediating factor that compromises driver performance. Among various sources of distraction, music and navigation prompts are two common auditory stimuli that can shape driver workload. However, prior studies have largely examined these factors separately, and little is known about their combined influence across different road environments. To address this gap, this study conducted a simulator-based experiment with 63 participants across 18 scenarios, combining three music tempos (none, slow, fast), two navigation prompt frequencies (high, low), and three road environments (regular, school area, work zone). Multimodal data were collected, including electrodermal activity (EDA), electrocardiography (ECG), electroencephalography (EEG), driving behaviors, and subjective workload assessments. These data were used to construct workload prediction models with a stacking ensemble learning framework. The results showed that high-frequency navigation with slow-tempo music was associated with lower workload, while low-frequency navigation with fast-tempo music increased workload, particularly in complex environments. The stacking models for low, medium, and high workload each achieved accuracy above 91 % and outperformed most base learners. An interpretable AI framework using SHapley Additive exPlanations (SHAP) further revealed that EDA, ECG, and gamma-band activity in the parietal and temporal regions, together with vehicle position, were key predictors of workload. These variables demonstrated nonlinear effects and distinct threshold patterns across varying workload levels. Overall, by systematically integrating auditory and contextual factors, the study advances workload modeling, uncovers key interaction mechanisms, and provides insights for real-time driver assistance system design.
{"title":"Harmony or hazard? Quantifying driver workload under music and navigation distractions using interpretable AI","authors":"Zhipeng Peng , Hengyan Pan , Yihe Huo , Chenzhu Wang , Said M. Easa , Yonggang Wang","doi":"10.1016/j.ssci.2025.107024","DOIUrl":"10.1016/j.ssci.2025.107024","url":null,"abstract":"<div><div>Driver distraction significantly contributes to traffic accidents, with elevated workload being a key mediating factor that compromises driver performance. Among various sources of distraction, music and navigation prompts are two common auditory stimuli that can shape driver workload. However, prior studies have largely examined these factors separately, and little is known about their combined influence across different road environments. To address this gap, this study conducted a simulator-based experiment with 63 participants across 18 scenarios, combining three music tempos (none, slow, fast), two navigation prompt frequencies (high, low), and three road environments (regular, school area, work zone). Multimodal data were collected, including electrodermal activity (EDA), electrocardiography (ECG), electroencephalography (EEG), driving behaviors, and subjective workload assessments. These data were used to construct workload prediction models with a stacking ensemble learning framework. The results showed that high-frequency navigation with slow-tempo music was associated with lower workload, while low-frequency navigation with fast-tempo music increased workload, particularly in complex environments. The stacking models for low, medium, and high workload each achieved accuracy above 91 % and outperformed most base learners. An interpretable AI framework using SHapley Additive exPlanations (SHAP) further revealed that EDA, ECG, and gamma-band activity in the parietal and temporal regions, together with vehicle position, were key predictors of workload. These variables demonstrated nonlinear effects and distinct threshold patterns across varying workload levels. Overall, by systematically integrating auditory and contextual factors, the study advances workload modeling, uncovers key interaction mechanisms, and provides insights for real-time driver assistance system design.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"193 ","pages":"Article 107024"},"PeriodicalIF":5.4,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145333741","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}