SAFETY SCIENCE安全科学
SAFETY SCIENCE(英文缩写 SAFETY SCI),ISSN 0925-7535,eISSN 1879-1042,中文译名:安全科学 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-11-01 至 2026-10-31，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 6.392 | Q1 |
| 2022 | 6.100 | Q1 |
| 2023 | 4.700 | Q1 |
| 2024 | 5.400 | Q1 |
| 2025 | 6.200 | Q1 |
SAFETY SCIENCE 最新收录文献
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1. Sloped Walking Surface Characteristics Modulate Unconstrained Slip Mechanics and Subsequent Fall Risk.
PMID:日期:2026-03-03Slips are a common cause of community-based falls, however existing literature has not examined slips during sloped surface walking, which is biomechanically distinct from level walking in ways that likely increase the risk of a slip. We examined the influence of various sloped walking characteristics on slip mechanics, compensatory stepping reactions, and fall rates. Twenty-one young adults experienced 27 unconstrained slip perturbations while walking on a treadmill inclined to 0°, 5°, or 10° in an uphill, downhill, or cross-slope direction while full-body motion capture and harness load cell data were recorded. Fall rates increased with slope angle, decreased with later slip onset, and were not dependent on slope direction. Slips shortened, slowed, and changed from anteriorly to posteriorly directed at later onset phases, eliciting longer, more anteriorly placed compensatory steps as a result. Steeper slope angles caused longer, faster slips that required shorter compensatory steps. Slope directions influenced slip directions and compensatory steps: uphill slopes were associated with more posterior slips and longer anterior steps, while downhill slopes caused the opposite. On cross-slopes, up-slope foot slips were shorter, slower, contralateral, and led to more anteriorly placed compensatory steps compared to down-slope foot slips, but fall rates did not differ. Our results are surprising given the slope direction-specific kinetics of sloped walking, suggesting that other factors play outsized roles in determining slip-and-fall risk. Perturbation-based balance training should incorporate sloped walking contexts in comprehensive protocols to assess if balance recovery skills can be enhanced beyond what is attainable from level training alone.
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2. Closing investigations: The role of national policy in shaping structural, organisational and relational constraints on learning from patient safety incidents.
PMID:日期:2025-10-23This study aimed to understand the role of a national patient safety policy, the Serious Incident Framework, on local organisational practices of responding to, investigating, and learning from patient safety incidents in the National Health Service (NHS) in England. Qualitative interviews were conducted with healthcare professionals in six NHS organisations and analysed using inductive thematic analysis and taking a constant comparison approach. Systemic challenges linked to the policy's prescriptive requirements were identified, including its emphasis on metrics such as incident closure and harm levels, which often obscured meaningful learning and systemic improvement. The findings highlight the misalignment between the policy's key aims and principles and its practical implementation, revealing an 'industry of investigations' that risked turning the investigative process into a compliance-oriented 'tick box exercise'. Furthermore, the overspecification of performance requirements coupled with the underspecification of substantive guidance led to variability in investigative processes, organisational capacity and resources, and investigator training and expertise. The involvement of patients and families affected by safety incidents was found to be inconsistent and often limited, with perceptions of senior managers and frontline staff underlining some tensions in operationalising large patient safety policies. The analysis considers how the development and implementation of national safety incident policies needs to carefully and intelligently balance the need for adaptive flexibility, clarity of guidance, and specification of organisational resourcing and infrastructure to ensure future national policy can effectively support local practices of learning from safety incidents.
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3. Daily variation in sleepiness among firefighters while working the 24/48 and 48/96 shift schedules.
PMID:日期:2024-01To assess the daily relationship between prior-night total sleep time (TST) and next-day, afternoon sleep propensity among firefighters operating from two popular fire department shift schedules. Dataset included 22 firefighters (24/48 shift schedule) and 20 firefighters (48/96 shift schedule). Daily TST was assessed using actigraphy and daily sleep propensity was assessed using the Epworth Sleepiness Scale (ESS), completed every afternoon. Separate one-way repeated measures ANOVA indicated statistically significant differences among daily sleep propensity within each shift schedule. Separate Pearson product moment correlations indicated moderate relationships between prior-night TST and next-day, afternoon sleep propensity. When firefighters slept less, sleep propensity the following day increased. Least TSTs occurred on nights prior to commuting suggesting firefighters likely begin shifts without sufficient sleep and drive home without sufficient sleep, then experience greatest sleep propensity.
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4. Computational risk modeling of underground coal mines based on NIOSH employment demographics.
PMID:日期:2023-04-19To investigate the feasibility of predicting the risk of underground coal mine operations using data from the National Institute for Occupational Safety and Health (NIOSH). A total of 22,068 data entries from 3,982 unique underground coal mines from 1990 to 2020 were extracted from the NIOSH mine employment database. We defined the risk index of a mine as the ratio between the number of injuries and the size of the mine. Several machine learning models were used to predict the risk of a mine based on its employment demographics (i.e., number of underground employees, number of surface employees, and coal production). Based on these models, a mine was classified into a "low-risk" or "high-risk" category and assigned with a fuzzy risk index. Risk probabilities were then computed to generate risk profiles and identify mines with potential hazards. NIOSH mine demographic features yielded a prediction performance with an AUC of 0.724 (95% CI 0.717-0.731) based on the last 31-years' mine data and an AUC of 0.738 (95% CI: 0.726, 0.749) on the last 16-years' mine data. Fuzzy risk score shows that risk is greatest in mines with an average of 621 underground employees and a production of 4,210,150 tons. The ratio of tons/employee maximizes the risk at 16,342.18 tons/employee. It is possible to predict the risk of underground coal mines based on their employee demographics and optimizing the allocation and distribution of employees in coal mines can help minimize the risk of accidents and injuries.
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5. The impact of COVID-19 pandemic on construction safety in China and the U.S.: A comparative study.
PMID:日期:2023-01-23Many studies indicated that the COVID-19 pandemic had significant impacts on construction safety. However, the studies had differing views on whether the pandemic increased or decreased construction safety performance. Furthermore, past studies did not adopt a comparative time series approach to evaluate the impact of the pandemic on construction safety. Thus, this study explores the differences in the impact of the COVID-19 pandemic on construction safety in China and the United States. This study used SciNet to forecast the number of construction accidents without the pandemic. Subsequently, the forecast was compared with the actual number of accidents since the outbreak, and the analysis showed a reduced number of construction accidents during the pandemic. However, there were minimal changes and even a slight worsening of fatality rates. Moreover, the correlation analyses showed that the effect of the pandemic on construction safety was weak and lagging. Construction safety was significantly affected by the pandemic in China, and the impact is relatively rapid. In comparison, outbreaks did not have a major impact on construction safety in the U.S. in the early stage. Since the pandemic is still raging worldwide, this research helps governments or project stakeholders formulate more targeted and data-driven safety countermeasures to improve construction safety during the crisis. The study also helps nations respond to future pandemics and crises to prevent adverse effects on construction safety.
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6. Safety not guaranteed: Investigating employees' safety performance during a global pandemic.
PMID:日期:2022-10-23The COVID-19 pandemic threatened employees' health and safety more than any event in recent years. Although millions of employees transitioned to working from home to mitigate infectious disease exposure, many worksites re-opened amid the pandemic as high infection rates persisted longer than expected. Safety guidelines were issued by the Centers for Disease Control and Prevention, the World Health Organization, and other national initiatives to improve the health and safety of employees returning to on-site work. The current work addresses predictors of infection control safety behaviors in a general working population that largely lacks infection control training and expertise. Drawing from Neal and Griffin's model of safety behavior, we investigated organizational factors (i.e., perceived safety climate, safety-related organizational constraints, occupational risk of COVID-19 exposure) and individual factors (i.e., infection control safety attitudes, conscientiousness, and risk aversion) associated with employees' infection control safety behaviors shortly after returning to on-site work during the pandemic. Survey results from 89 full-time employees across industries demonstrated that the organizational and individual factors accounted for 51.19 percent of the variance in employees' infection control safety behaviors. Organizational factors accounted for 49.02 percent of the explained variance, and individual factors accounted for 50.98 percent of the explained variance. Conscientiousness, perceived safety climate, safety-related organizational constraints, and infection control safety attitudes explained significant variance in employees' infection control safety behaviors, while the occupational risk of COVID-19 exposure and risk aversion did not. Organizations may benefit from considering employees' conscientiousness and safety attitudes during employee selection as well as enhancing their organization's safety climate and mitigating safety-related organizational constraints.
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7. Passengers' self-protective intentions while using ride-hailing services during the COVID-19 pandemic.
PMID:日期:2022-09-06In the transport context, there has been limited research examining passengers' health-protective behaviour while travelling during a health-related crisis such as COVID-19. This study develops a conceptual model aiming to explore determinants associated with passengers' self-protective intentions using the context of ride-hailing services in Vietnam. Ride-hailing services are popular in countries where public transport is underdeveloped. The conceptual model is based on perceived risk and self-efficacy as the main predictor of self-protective intentions when using ride-hailing services. In addition, the proposed conceptual model explores the direct and indirect impact of subjective knowledge and the perceived effectiveness of preventive measures on self-protective intentions. The proposed conceptual model was tested on a large sample of ride-hailing users in Vietnam ( = 527). The structural equation modelling (SEM) analysis results indicate that self-efficacy has the highest total impact on self-protective behaviour, followed by subject knowledge and perceived effectiveness of preventive measures. Self-efficacy also plays a fully mediating role in the linkage between the perceived effectiveness of preventive measures implemented by ride-hailing organisations and the intention to engage in self-protective behaviour. The results of this study expand the current understanding of ride-hailing passengers' health-protective behaviour and contribute to the transport and public health literature.
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8. Adoption of measures to mitigate the impact of COVID-19: In search of a Hofstedian explanation for patterns among individual countries and country clusters.
PMID:日期:2022-08-29We consider multiple safety measures in relation to the COVID-19 virus and look at their adoption levels for a variety of 15 individual countries, based on data from Yougov.co.uk. Subsequently, we establish correlation coefficients between measure-specific uptake levels and Hofstede dimension scores for all countries considered. We notably find that Power Distance Index (PDI) and Individualism (IDV) have a considerable explanatory power. In addition, we carried out a Principal Components Analysis (PCA) and a cluster analysis to see whether the behavioural patterns across countries can be grouped, and which Hofstede dimensions correlate strongest with the two main components that follow from the PCA. The PCA provides further confirmation of PDI and IDV being the most important explanatory factors for the uptake of measures across countries. The cluster analysis, in turn, reveals four broad groups, which only partly coincide with the way that the mental image clustering scheme by Wursten (2019) allots countries into its respective clusters. Hence, this provides a basis to suggest that data-driven exercises like the ones from our paper can serve to adjust Wursten's intuitive scheme.
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9. How things changed during the COVID-19 pandemic's first year: A longitudinal, mixed-methods study of organisational resilience processes among healthcare workers.
PMID:日期:2022-07-22COVID-19 had a huge impact on healthcare systems globally. Institutions, care teams and individuals made considerable efforts to adapt their practices. The present longitudinal, mixed-methods study examined a large sample of healthcare institution employees in Switzerland. Organisational resilience processes were assessed by identifying problematic real-world situations and evaluating how they were managed during three phases of the pandemic's first year. Results highlighted differences between resilience processes across the different types of problematic situations encountered by healthcare workers. Four configurations of organisational resilience were identified depending on teams' performance and ability to adapt over time: "learning from mistakes", "effective development", "new standards" and "hindered resilience". Resilience trajectories differed depending on professional categories, hierarchical status and the problematic situation's perceived severity. Factors promoting or impairing organisational resilience are discussed. Findings highlighted the importance of individuals', teams' and institutions' - and micro-level adaptations and macro-level actors' structural actions.
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10. Crowd dynamics research in the era of Covid-19 pandemic: Challenges and opportunities.
PMID:日期:2022-05-12With the issues of crowd control and physical distancing becoming central to disease prevention measures, one would expect that crowd research should become a focus of attention during the Covid-19 pandemic era. However, I will show, based on a variety of metrics, that not only has this not been the case, but also, the first two years of the pandemic have posed an undisputable setback to the development and growth of crowd science. Without intervention, this could potentially aggravate further and cause a long-lasting recession in this field. This article, in addition to documenting and highlighting this issue, aims to outline potential avenues through which crowd research can reshape itself in the era of Covid-19 pandemic, maintain its pre-pandemic momentum and even further expand the diversity of its topics. Despite significant changes that the pandemic has brought to human life, issues related to congregation and mobility of pedestrians, building fires, crowd incidents, rallying crowds and the like have not disappeared from societies and remain relevant. Moreover, the diversity of pandemic-related problems itself creates a rich ground for making novel scientific discoveries. This could provide grounds for establishing fresh dimensions in crowd dynamics research. These potential new dimensions extend to all areas of this field including numerical and experimental investigations, crowd psychology and applications of computer vision and artificial intelligence methods in crowd management. The Covid-19 pandemic may have posed challenges to crowd researchers but has also created ample potential opportunities. This is further evidenced by reviewing efforts taken thus far in pandemic-related crowd research.