Safety Science最新文献_第3页

A systematic review of hazard recognition and risk perception research in the construction industry

IF 4.7 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2025-02-17 DOI: 10.1016/j.ssci.2025.106813

Jingnan Sun , Fangrong Chang , Zilong Zhou , Siu-Shing Man , Alan Hoi Shou Chan

Hazard recognition and risk perception (HRRP) significantly contribute to construction workers’ risky behavior at work, guiding the development of effective safety management strategies. Research in this area spans various topics such as safety climate, risk-taking behavior, and safety training, presenting a diverse field of study. To provide an overview, we analyzed 232 HRRP articles published during the period from 2000 to May 2024 in Web of Science, Scopus, and ScienceDirect using bibliometrics and mapping knowledge domain approaches. This analysis identified three stages of research evolution: from early studies on accidents and behavior, to more focused HRRP investigations, and later expanding to broader safety considerations, including the integration of advanced technologies. Key publication sources include the Journal of Construction Engineering and Management, Safety Science, and Automation in Construction, contributing over 49% of total publications. China and the United States collectively contributed 71.55% of publications, with Tsinghua University leading in publications and North Carolina State University excelling in knowledge dissemination. Hong Kong Polytechnic University and King Saud University showed notable cooperation and citation performance. Influential scholars such as Albert, A., Li, H., and Alabdulkarim, S.A., are prominent in the field, demonstrating strong collaboration and citation impact. The co-occurrence network of author keywords revealed primary clusters focused on HRRP measurements, influential factors, risk-taking behavior impacts, and safety management. Future research directions include exploring failure mechanisms in HRRP, developing worker-centered safety training, advancing automated hazard identification, and expanding HRRP studies in developing countries.

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引用次数: 0

Investigating the predictive validity of subjective and objective measures for general aviation pilots’ risk propensity

IF 4.7 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2025-02-16 DOI: 10.1016/j.ssci.2025.106818

Yassmin Ebrahim , Brett Molesworth , Oleksandra Molloy

Pilots’ propensity to engage in risk can affect flight safety. Predictors of risk traditionally rely on subjective psychometric scales, with varying predictive validity. The aim of the current study is to investigate the efficacy of both subjective and objective measures (e.g., Electroencephalography – EEG) in predicting general aviation pilots’ risk propensity in a high-risk Go/No-Go flight task. A total of 16 pilots completed a battery of scales, along with a high-risk flight on a computer-based flight simulator while wearing an EEG. The results of a series of one-tailed Mann-Whitney U tests revealed pilots who declined (No-Go) the flight had a narrower EEG theta asymmetry in the Rostral brain region between their right and left-brain hemispheres compared to the accepted (Go) pilots. Differences were also noted between pilot groups on the psychometric scales of Locus of Control, and the Total Score and Disinhibition factors on the Sensation Seeking Scale. Pilots who also declined (No-Go) the flight, had a shorter deliberation time when making this decision. The neurobiological data from the EEG support the use of certain psychometric scales in predicting pilots’ risk propensity. These findings have implications on pilots training and selection.

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引用次数: 0

Risk perception and safety behaviors in high-risk workers: A systematic literature review

IF 4.7 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2025-02-16 DOI: 10.1016/j.ssci.2025.106811

Giulia Priolo , Michela Vignoli , Karina Nielsen

The pervasive issue of occupational safety poses a compelling challenge within the global workforce causing a staggering amount of yearly injuries and fatalities worldwide. The relationship between risk perception and behaviors is of particular interest across various fields, but a comprehensive understanding of this association in the occupational sector is lacking. This systematic review examines the literature on the relationship between risk perception and safety behaviors among front-line workers in high-risk occupations for physical injuries. Using the PRISMA method, 89 peer-reviewed papers from the last two decades were synthesized. The findings revealed a common oversight in recognizing the multidimensional nature of risk perception as only seven out of 89 papers considered both its deliberative (i.e., perceived probability and severity of incurring a hazard’s negative consequences) and affective (i.e., emotional reactions associated with the hazard) dimensions. Despite this, a majority of studies found a significant positive association between risk perception and safety behaviors, although 40% reported mixed or null effects. Individual factors (e.g., attitudes) and organizational factors (e.g., safety climate) were explored as potential mediators with mixed outcomes, while group and leadership factors were largely neglected. This review provides guidelines for more comprehensive future assessments of risk perception in the workplace. Enhancing the understanding of both deliberative and affective dimensions of risk perception is essential for developing effective training programs to improve safety behaviors.

{"title":"Risk perception and safety behaviors in high-risk workers: A systematic literature review","authors":"Giulia Priolo , Michela Vignoli , Karina Nielsen","doi":"10.1016/j.ssci.2025.106811","DOIUrl":"10.1016/j.ssci.2025.106811","url":null,"abstract":"<div><div>The pervasive issue of occupational safety poses a compelling challenge within the global workforce causing a staggering amount of yearly injuries and fatalities worldwide. The relationship between risk perception and behaviors is of particular interest across various fields, but a comprehensive understanding of this association in the occupational sector is lacking. This systematic review examines the literature on the relationship between risk perception and safety behaviors among front-line workers in high-risk occupations for physical injuries. Using the PRISMA method, 89 peer-reviewed papers from the last two decades were synthesized. The findings revealed a common oversight in recognizing the multidimensional nature of risk perception as only seven out of 89 papers considered both its deliberative (i.e., perceived probability and severity of incurring a hazard’s negative consequences) and affective (i.e., emotional reactions associated with the hazard) dimensions. Despite this, a majority of studies found a significant positive association between risk perception and safety behaviors, although 40% reported mixed or null effects. Individual factors (e.g., attitudes) and organizational factors (e.g., safety climate) were explored as potential mediators with mixed outcomes, while group and leadership factors were largely neglected. This review provides guidelines for more comprehensive future assessments of risk perception in the workplace. Enhancing the understanding of both deliberative and affective dimensions of risk perception is essential for developing effective training programs to improve safety behaviors.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"186 ","pages":"Article 106811"},"PeriodicalIF":4.7,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the role of safety culture dimensions in patient safety using a Bayesian Belief Network model

IF 4.7 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2025-02-16 DOI: 10.1016/j.ssci.2025.106817

Mecit Can Emre Simsekler , Abroon Qazi , Al Ozonoff

There is a growing recognition of the impact of a multi-dimensional safety culture on patient safety practices within healthcare organizations. Despite this awareness, understanding the relationships among safety culture dimensions and their relative importance in dynamic and complex healthcare delivery remains unclear. To address this gap, we developed a Bayesian Belief Network (BBN) model to quantitatively assess the significance of various safety culture dimensions in influencing patient safety. Utilizing Hospital Survey on Patient Safety Culture (HSOPSC) SOPS Hospital Survey 2.0 data from U.S. teaching hospitals, this study provides insights into the strength of influence among interconnected variables, explores primary factors contributing to the patient safety, and offers guidance for decision-makers on optimal resource utilization by prioritizing safety culture dimensions based on their relative importance. Our findings identify three leading dimensions of safety culture for their significant association with patient safety ratings: ’communication openness,’ ’supervisor support for patient safety,’ and ’organizational learning – continuous support’. This analysis supports decision-making, providing insights into the relative priority of safety culture dimensions for optimal resource allocation. The BBN is a novel methodology, providing a visual representation of the probabilistic relationships and potential approaches for enhancing patient safety within healthcare settings.

{"title":"Exploring the role of safety culture dimensions in patient safety using a Bayesian Belief Network model","authors":"Mecit Can Emre Simsekler , Abroon Qazi , Al Ozonoff","doi":"10.1016/j.ssci.2025.106817","DOIUrl":"10.1016/j.ssci.2025.106817","url":null,"abstract":"<div><div>There is a growing recognition of the impact of a multi-dimensional safety culture on patient safety practices within healthcare organizations. Despite this awareness, understanding the relationships among safety culture dimensions and their relative importance in dynamic and complex healthcare delivery remains unclear. To address this gap, we developed a Bayesian Belief Network (BBN) model to quantitatively assess the significance of various safety culture dimensions in influencing patient safety. Utilizing Hospital Survey on Patient Safety Culture (HSOPSC) SOPS Hospital Survey 2.0 data from U.S. teaching hospitals, this study provides insights into the strength of influence among interconnected variables, explores primary factors contributing to the patient safety, and offers guidance for decision-makers on optimal resource utilization by prioritizing safety culture dimensions based on their relative importance. Our findings identify three leading dimensions of safety culture for their significant association with patient safety ratings: ’communication openness,’ ’supervisor support for patient safety,’ and ’organizational learning – continuous support’. This analysis supports decision-making, providing insights into the relative priority of safety culture dimensions for optimal resource allocation. The BBN is a novel methodology, providing a visual representation of the probabilistic relationships and potential approaches for enhancing patient safety within healthcare settings.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"186 ","pages":"Article 106817"},"PeriodicalIF":4.7,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419996","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

Financial evaluation of interventions to reduce musculoskeletal disorder risk: A scoping review

IF 4.7 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2025-02-15 DOI: 10.1016/j.ssci.2025.106816

Jodi Oakman , Samantha Clune , Victoria P Weale

Many interventions have aimed to reduce the incidence of work-related musculoskeletal disorders (WMSDs) which are a costly occupational health problem. However, information on the return on investment of these interventions is limited. This scoping review mapped published evidence of types of financial tools used to assess the return on investment on interventions to reduce WMSDs. The level within the organisation at which the intervention was targeted was also examined.

Method

PsycINFO, CINAHL, Web of Science and Embase were searched from 2000 to August 2023. Studies with financial evaluations of workplaces intervention/s to reduce WSMDs were included. Coding of financial tools, cost and benefit factors, and the level at which interventions were targeted was undertaken. Two review authors independently screened studies for inclusion. One author extracted data with review by a second author.

Results

Thirty-five articles met the inclusion criteria. Included studies were mostly from the US (n = 9), Canada (n = 8) and the Netherlands (n = 6). Cost-benefit, cost-effectiveness, cost-utility and return on investment approaches were used. Most commonly used cost factors included personnel, equipment, intervention costs, training, and consultant fees, and for economic benefits, productivity, absenteeism, and compensation.

Conclusions

Current tools and approaches to economic evaluation do not take into account the likely efficacy of interventions and need to include a broader suite of cost and impact factors, based on known contributory factors such as exposure to psychosocial hazards and lead indicators such as reporting of musculoskeletal pain.

与工作有关的肌肉骨骼疾病（WMSDs）是一个代价高昂的职业健康问题，许多干预措施都旨在降低其发病率。然而，有关这些干预措施投资回报的信息却很有限。本范围界定综述对用于评估减少 WMSDs 干预措施投资回报的财务工具类型的已发表证据进行了映射。方法检索了 2000 年至 2023 年 8 月期间的 PsycINFO、CINAHL、Web of Science 和 Embase。研究纳入了对工作场所干预措施进行财务评估以减少 WSMDs 的研究。对财务工具、成本和收益因素以及干预措施的目标级别进行了编码。两位综述作者独立筛选纳入研究。结果35篇文章符合纳入标准。纳入的研究主要来自美国（9 篇）、加拿大（8 篇）和荷兰（6 篇）。研究采用了成本效益、成本效率、成本效用和投资回报等方法。最常用的成本因素包括人员、设备、干预成本、培训和顾问费，而对于经济效益，则包括生产率、缺勤率和赔偿金。结论目前的经济评估工具和方法没有考虑到干预措施的可能功效，需要根据已知的促成因素（如暴露于社会心理危害）和领先指标（如肌肉骨骼疼痛报告），纳入更广泛的成本和影响因素。

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引用次数: 0

The impact of wildfire smoke on traffic evacuation dynamics

IF 4.7 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2025-02-12 DOI: 10.1016/j.ssci.2025.106812

Arthur Rohaert , Maxine Berthiaume , Max Kinateder , Jonathan Wahlqvist , Enrico Ronchi

This study investigates how reduced visibility due to wildfire smoke affects driving behaviour, specifically speed and headway, and the resulting implications for evacuation management and planning. Data were collected from participants immersed in a virtual environment through a driving simulator with a head-mounted display. Thirty-seven participants drove through scenarios simulating a rural highway. While driving visibility was systematically varied with virtual wildfire smoke. Participants were initially alone on the road to measure free-flow speeds and then proceeded to drive behind a convoy of cars. When visibility was low, driving speed was significantly reduced compared to the scenario with unrestricted visibility. Surprisingly, however, participants maintained similar distance headways in denser smoke compared to conditions with unrestricted visibility, suggesting that car-following behaviour was not affected. The collected data were used to develop a model that captures drivers’ responses to reduced visibility due to smoke. The proposed model can be integrated into both macroscopic and microscopic traffic models, providing a tool for estimating evacuation times.

{"title":"The impact of wildfire smoke on traffic evacuation dynamics","authors":"Arthur Rohaert , Maxine Berthiaume , Max Kinateder , Jonathan Wahlqvist , Enrico Ronchi","doi":"10.1016/j.ssci.2025.106812","DOIUrl":"10.1016/j.ssci.2025.106812","url":null,"abstract":"<div><div>This study investigates how reduced visibility due to wildfire smoke affects driving behaviour, specifically speed and headway, and the resulting implications for evacuation management and planning. Data were collected from participants immersed in a virtual environment through a driving simulator with a head-mounted display. Thirty-seven participants drove through scenarios simulating a rural highway. While driving visibility was systematically varied with virtual wildfire smoke. Participants were initially alone on the road to measure free-flow speeds and then proceeded to drive behind a convoy of cars. When visibility was low, driving speed was significantly reduced compared to the scenario with unrestricted visibility. Surprisingly, however, participants maintained similar distance headways in denser smoke compared to conditions with unrestricted visibility, suggesting that car-following behaviour was not affected. The collected data were used to develop a model that captures drivers’ responses to reduced visibility due to smoke. The proposed model can be integrated into both macroscopic and microscopic traffic models, providing a tool for estimating evacuation times.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"186 ","pages":"Article 106812"},"PeriodicalIF":4.7,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143388493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluating the impact of proactive warning systems on worker safety performance: An immersive virtual reality study

IF 4.7 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2025-02-12 DOI: 10.1016/j.ssci.2024.106774

Ming Zhang , Shihui Ma , Rui Xu , Tao Chen , Yuexiong Ding , Xiaowei Luo

Physical safety signs on construction sites often fail to capture workers’ attention. In contrast, proactive warning systems designed to provide immediate feedback on dynamic risks show promise in improving workers’ safety measures. Despite established evidence for the feasibility of such technologies, there is a gap in research about their actual impact on safety behavior. This study explores the effects of these proactive systems on improving safety performance for construction workers within an immersive virtual environment (IVE). To this end, a novel virtual warning system was introduced, providing real-time alerts to workers when approaching hazardous areas. The study utilized a comparative experimental setup to evaluate the proactive system against standard safety signs. A group of 56 participants engaged in IVE trials, contributing behavioral data for analysis. Findings reveal the proactive warning system significantly outperforms traditional signage in delivering hazard warnings without hindering on the participants’ overall task performance. The data strongly support the further development and practical implementation of proactive warning systems in construction safety management.

{"title":"Evaluating the impact of proactive warning systems on worker safety performance: An immersive virtual reality study","authors":"Ming Zhang , Shihui Ma , Rui Xu , Tao Chen , Yuexiong Ding , Xiaowei Luo","doi":"10.1016/j.ssci.2024.106774","DOIUrl":"10.1016/j.ssci.2024.106774","url":null,"abstract":"<div><div>Physical safety signs on construction sites often fail to capture workers’ attention. In contrast, proactive warning systems designed to provide immediate feedback on dynamic risks show promise in improving workers’ safety measures. Despite established evidence for the feasibility of such technologies, there is a gap in research about their actual impact on safety behavior. This study explores the effects of these proactive systems on improving safety performance for construction workers within an immersive virtual environment (IVE). To this end, a novel virtual warning system was introduced, providing real-time alerts to workers when approaching hazardous areas. The study utilized a comparative experimental setup to evaluate the proactive system against standard safety signs. A group of 56 participants engaged in IVE trials, contributing behavioral data for analysis. Findings reveal the proactive warning system significantly outperforms traditional signage in delivering hazard warnings without hindering on the participants’ overall task performance. The data strongly support the further development and practical implementation of proactive warning systems in construction safety management.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"186 ","pages":"Article 106774"},"PeriodicalIF":4.7,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395810","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

Gender differences in occupational health and safety perceptions: Insights from youth in dual vocational training

IF 4.7 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2025-02-12 DOI: 10.1016/j.ssci.2025.106797

Myriam Bérubé , Céline Chatigny , Marie Laberge

Introduction

While occupational health and safety (OHS) education is important for all new workers, it appears critical for youth in dual vocational training programs. To develop prevention tools adapted to their situation, the first stage of an action-research study was to question their perceptions and experiences of OHS.

Objective

This study examines the perceptions of OHS among young students with disabilities enrolled in the Work-Oriented Training Path (WOTP) in Québec.

Method

A mixed-methods study based on questionnaires given to 131 (38 women, 93 men) WOTP students and Ministry documents. Descriptive and comparative quantitative analyses were conducted with a qualitative analysis of open-ended questions and documents. A gender-sensitive analysis was carried out since it is a recognized influencing factor to consider in OHS.

Results

Men and women worked in different environments (p = 0.002). Men seem to be more aware of the presence of hazards (yes = 79.6 %) than women (yes = 50 %) (p = 0.001), and collectively named 15 risk categories, compared to 9 for women. A modest proportion of men (yes = 44.1 %) and women (yes = 31.6 %) reported having received OHS training in their traineeship. Men had a slightly less marked interest in OHS (p = 0.047). A large proportion of students reported having experienced an occupational injury (43.5 %).

Conclusions

Targeted interventions are needed to ensure safe learning environments and equitable OHS training for youth with disabilities. Women might be confronted with unrecognized or invisible hazards, and all could benefit from a training that addresses those.

{"title":"Gender differences in occupational health and safety perceptions: Insights from youth in dual vocational training","authors":"Myriam Bérubé , Céline Chatigny , Marie Laberge","doi":"10.1016/j.ssci.2025.106797","DOIUrl":"10.1016/j.ssci.2025.106797","url":null,"abstract":"<div><h3>Introduction</h3><div>While occupational health and safety (OHS) education is important for all new workers, it appears critical for youth in dual vocational training programs. To develop prevention tools adapted to their situation, the first stage of an action-research study was to question their perceptions and experiences of OHS.</div></div><div><h3>Objective</h3><div>This study examines the perceptions of OHS among young students with disabilities enrolled in the Work-Oriented Training Path (WOTP) in Québec.</div></div><div><h3>Method</h3><div>A mixed-methods study based on questionnaires given to 131 (38 women, 93 men) WOTP students and Ministry documents. Descriptive and comparative quantitative analyses were conducted with a qualitative analysis of open-ended questions and documents. A gender-sensitive analysis was carried out since it is a recognized influencing factor to consider in OHS.</div></div><div><h3>Results</h3><div>Men and women worked in different environments (p = 0.002). Men seem to be more aware of the presence of hazards (yes = 79.6 %) than women (yes = 50 %) (p = 0.001), and collectively named 15 risk categories, compared to 9 for women. A modest proportion of men (yes = 44.1 %) and women (yes = 31.6 %) reported having received OHS training in their traineeship. Men had a slightly less marked interest in OHS (p = 0.047). A large proportion of students reported having experienced an occupational injury (43.5 %).</div></div><div><h3>Conclusions</h3><div>Targeted interventions are needed to ensure safe learning environments and equitable OHS training for youth with disabilities. Women might be confronted with unrecognized or invisible hazards, and all could benefit from a training that addresses those.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"186 ","pages":"Article 106797"},"PeriodicalIF":4.7,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143388494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Falling risk analysis at workplaces through an accident data-driven approach based upon hybrid artificial intelligence (AI) techniques

IF 4.7 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2025-02-11 DOI: 10.1016/j.ssci.2025.106814

Haonan Qi , Zhipeng Zhou , Patrick Manu , Nan Li

This study proposed an accident data-driven approach using hybrid AI techniques for the quantification of falling risks at workplaces. Six machine learning models and one ensemble learning model were deployed for automatic extraction of causal factors. These causal factors were taken as main nodes in the falling risk Bayesian network (FRBN). Data-driven and knowledge-driven methods were combined for structure learning of the FRBN, based upon algorithms of hill climbing and tree augmented naive Bayes firstly and modification of FRBN through incorporation of knowledge. Sensitive causal factors were determined using parameter-based and evidence-based sensitivity analysis approaches. The FRBN was further adopted for forward and backward causal inferences. The accident data-driven approach through hybrid AI techniques contributes to substantial learning from fall-related accidents. Measures would be tailored according to causal inferences within the FRBN, so that the probability of falling risk will be reduced and negative impacts of fall-from-height (FFH) accidents will be decreased.

{"title":"Falling risk analysis at workplaces through an accident data-driven approach based upon hybrid artificial intelligence (AI) techniques","authors":"Haonan Qi , Zhipeng Zhou , Patrick Manu , Nan Li","doi":"10.1016/j.ssci.2025.106814","DOIUrl":"10.1016/j.ssci.2025.106814","url":null,"abstract":"<div><div>This study proposed an accident data-driven approach using hybrid AI techniques for the quantification of falling risks at workplaces. Six machine learning models and one ensemble learning model were deployed for automatic extraction of causal factors. These causal factors were taken as main nodes in the falling risk Bayesian network (FRBN). Data-driven and knowledge-driven methods were combined for structure learning of the FRBN, based upon algorithms of hill climbing and tree augmented naive Bayes firstly and modification of FRBN through incorporation of knowledge. Sensitive causal factors were determined using parameter-based and evidence-based sensitivity analysis approaches. The FRBN was further adopted for forward and backward causal inferences. The accident data-driven approach through hybrid AI techniques contributes to substantial learning from fall-related accidents. Measures would be tailored according to causal inferences within the FRBN, so that the probability of falling risk will be reduced and negative impacts of fall-from-height (FFH) accidents will be decreased.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"185 ","pages":"Article 106814"},"PeriodicalIF":4.7,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387314","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

Factors affecting the visual ergonomics of train drivers in VR simulation driving: Snow and Ice line environment and train speed

IF 4.7 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Safety Science

Pub Date : 2025-02-10 DOI: 10.1016/j.ssci.2025.106806

Xiao Zhao , Ze-Rui Xiang , Zutao Zhang , Tie-Cheng Ding , Hai-Nan Liu , Hong-Bao Wang , Rui Zou , Yu Wang

Optimal visual ergonomics is a crucial cornerstone for the safe operation of the railway system, and the extreme line environment and varying driving speeds may affect drivers’ visual ergonomics. To elucidate the impact of the Snow and Ice (SI) line environment and different driving speeds on train drivers’ visual ergonomics, this paper introduces a novel research method. Utilizing a VR simulation driving scenario, the physiological parameters, task performance, and subjective evaluations of 44 participants were analyzed using IBM SPSS 26.0. The analysis covered conditions under two line environments (SI line and basic line) and three driving speeds (120 km/h, 160 km/h, and 200 km/h). The research reveals that the line environment, train speed, and their interaction effects significantly affect train drivers’ visual ergonomics in the following ways: (1) In the SI line environment, drivers experience significantly increased visual fatigue and discomfort, along with decreased visual performance. (2) With the increase of driving speed, drivers face heightened psychological pressure, shorter reaction times, and reduced accuracy. (3) The interaction effect between line environment and driving speed diminishes visual ergonomics by increasing physiological load and psychological stress, disrupting drivers’ emotional state and attention distribution, thus forming a negative cycle in train drivers’ visual ergonomics. The research findings provide extensive practical applications and customized recommendations for real-world driving scenarios.

{"title":"Factors affecting the visual ergonomics of train drivers in VR simulation driving: Snow and Ice line environment and train speed","authors":"Xiao Zhao , Ze-Rui Xiang , Zutao Zhang , Tie-Cheng Ding , Hai-Nan Liu , Hong-Bao Wang , Rui Zou , Yu Wang","doi":"10.1016/j.ssci.2025.106806","DOIUrl":"10.1016/j.ssci.2025.106806","url":null,"abstract":"<div><div>Optimal visual ergonomics is a crucial cornerstone for the safe operation of the railway system, and the extreme line environment and varying driving speeds may affect drivers’ visual ergonomics. To elucidate the impact of the Snow and Ice (SI) line environment and different driving speeds on train drivers’ visual ergonomics, this paper introduces a novel research method. Utilizing a VR simulation driving scenario, the physiological parameters, task performance, and subjective evaluations of 44 participants were analyzed using IBM SPSS 26.0. The analysis covered conditions under two line environments (SI line and basic line) and three driving speeds (120 km/h, 160 km/h, and 200 km/h). The research reveals that the line environment, train speed, and their interaction effects significantly affect train drivers’ visual ergonomics in the following ways: (1) In the SI line environment, drivers experience significantly increased visual fatigue and discomfort, along with decreased visual performance. (2) With the increase of driving speed, drivers face heightened psychological pressure, shorter reaction times, and reduced accuracy. (3) The interaction effect between line environment and driving speed diminishes visual ergonomics by increasing physiological load and psychological stress, disrupting drivers’ emotional state and attention distribution, thus forming a negative cycle in train drivers’ visual ergonomics. The research findings provide extensive practical applications and customized recommendations for real-world driving scenarios.</div></div>","PeriodicalId":21375,"journal":{"name":"Safety Science","volume":"185 ","pages":"Article 106806"},"PeriodicalIF":4.7,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377223","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