Hazard Identification Research Articles

The effect of pre- and post COVID-19 hazard and risk management of nurses on performance evaluation.

It is important to identify the hazards encountered by nurses before and after COVID-19, assess the potential risks and risk levels, take measures for the identified hazards and risks, and determine the effect of risk management on employee performance evaluation. The aim of this study was to determine the effect of hazard and risk management of nurses before and after COVID-19 on performance evaluation. The study consisted of two stages. The first stage had a descriptive design, while the second stage had a one-group pre-test and post-test design. The second stage of the study was conducted during the COVID-19 pandemic. There were 377 nurses who agreed to participate in the study in the first stage and 201 nurses in the second stage. The study data was collected via Information Form, Hazard and Risk Identification Form, and Employee Performance Scale (EPS). In the second stage of the study, training was provided using instruction cards called "Means of Protection Against Hazards and Risks" for potential moderate- and high-level hazards and risks existing after the pre-test. The post-test stage was conducted two weeks after the training. Mann-Whitney U Test, Kruskal-Wallis Test, and Spearman's correlation coefficients were used for statistical analyses of descriptive statistics. The mean EPS score was found to be pre training 3,85±0,60, after training was found to be 3.92±0.55. Moreover, there was a weak negative correlation between pre- and post-training risk levels during the COVID-19 pandemic. Hazard and risk management training had a positive effect on the performance of employees.

Analisis Risiko Keselamatan dan Kesehatan Kerja Menggunakan Metode Hazard Identification Risk Assessment Determining Control (HIRADC) di Pt Bumi Sarana Beton

The background of this research focuses on the importance of OHS in the manufacture field, especially considering the high number of work accidents reported by BPJS Ketenagakerjaan. This research aims to identify and assess the risk of hazards at PT Bumi Sarana Beton using Hazard Identification Risk Assessment Determining Control (HIRADC) and provide solutions to reduce work accidents. The HIRADC method is used to identify hazards, assess risks, and determine appropriate controls in accordance with the AS/NZS 4360: 2004 standard. The results showed that the production work area has several high risks such as pinching, respiratory distress, and slipping. Effective risk control implementation is expected to improve work safety and productivity. These findings have important implications for the management of PT Bumi Sarana Beton to improve OHS policies and provide adequate training and protective equipment for workers. In addition, this research is also expected to be a reference for other industries in implementing OHS optimally to reduce the risk of work accidents and improve workers' welfare

A systematic review and BMD modeling approach to develop an AOP for humidifier disinfectant-induced pulmonary fibrosis and cell death

Dosimetry modeling and point of departure (POD) estimation using in vitro data are essential for mechanism-based hazard identification and risk assessment. This study aimed to develop a putative adverse outcome pathway (AOP) for humidifier disinfectant (HD) substances used in South Korea through a systematic review and benchmark dose (BMD) modeling. We collected in vitro toxicological studies on HD substances, including polyhexamethylene guanidine hydrochloride (PHMG-HCl), PHMG phosphate (PHMG-p), a mixture of 5-chloro-2-methyl-4-isothiazolin-3-one and 2-methyl-4-isothiazolin-3-one (CMIT/MIT), CMIT, and MIT from scientific databases. A total of 193 sets of dose-response data were extracted from 34 articles reporting in vitro experimental results of HD toxicity. The risk of bias (RoB) in each study was assessed following the office of health assessment and translation (OHAT) guideline. The BMD of each HD substance at different toxicity endpoints was estimated using the US Environmental Protection Agency (EPA) BMD software (BMDS). Interspecies- or interorgan differences or most critical effects in the toxicity of the HD substances were analyzed using a 95% lower confidence limit of the BMD (BMDL). We found a critical molecular event and cells susceptible to each HD substance and constructed an AOP of PHMG-p- or CMIT/MIT-induced damage. Notably, PHMG-p induced ATP depletion at the lowest in vitro concentration, endoplasmic reticulum (ER) stress, epithelial-to-mesenchymal transition (EMT), inflammation, leading to fibrosis. CMIT/MIT enhanced mitochondrial reactive oxygen species (ROS) production, oxidative stress, mitochondrial dysfunction, resulting in cell death. Our approach will increase the current understanding of the effects of HD substances on human health and contribute to evidence-based risk assessment of these compounds.

Risk analysis of petroleum storage tank based on uncertain data incorporated into mapped Bow-tie to Bayesian network

The petroleum industry has an important impact on the environment, which is why risk analysis for a petroleum storage tank is required in the process industry. However, conducting an exhaustive study is frequently complicated due to the incomplete data based on historical system information, feedback, or test results. The main goal of this study is to develop an innovative framework that integrates the Bow-tie method with MIMAH (Methodology for the Identification of Major Accident Hazards). This approach specifically aims to identify the most critical accident scenario and comprehensively list all realistic causes (basic events) associated with petroleum storage tanks. Acquiring historical data on basic events poses challenges due to the lack, insufficiency, and imprecision of failure data. To address this obstacle and predict the system’s evolution, a combination of established methods for handling uncertainty and multi-criteria decision-making has been proposed. This combination incorporates a modified Fuzzy Analytical Hierarchy Process with Chang’s Extent Analysis Method (FAHP-EAM), fuzzy set theory, and expert elicitation, contributing to an extensive approach for managing uncertainty and making informed decisions in the absence of comprehensive historical data. Furthermore, the Bow-tie model is converted into a dynamic Bayesian network to improve risk analysis by integrating probabilistic reasoning and capturing the dynamic interactions among multiple risk factors. This integrated approach is validated on real scenarios. The utilization of dynamic Bayesian networks further facilitates the suggestion of scenarios to assess the contribution of basic events to the critical event and evaluate the resulting environmental impacts. Finally, the prediction of threat zones for various hazardous effects, such as toxicity, thermal radiation, and overpressure linked to chemical releases following the occurrence of the critical event, is carried out. The risk analysis outcomes from this study offer valuable data for assessment, enabling managers to improve the quality of risk management and formulate effective risk mitigation strategies.

Occupational Health & Safety Risk Analysis with HIRADC Method in Building Construction Project X

Within construction projects, there is a risk of workplace accidents that can cause injury and death to workers. These risks are some of the factors that can cause project failure and affect other worker activities. If proper risk control is no carried out the incident can escalate into a fatal work accident. Therefore, good implementation of Occupational Safety and Health (OHS) is essential in every construction project. This research aims to plan work safety using Hazard Identification, Risk Assessment, and Determining Control (HIRADC) method to identify potential hazards, assess the risk of these hazards, and determine appropriate controls to minimize the risks that may occur. In the observed work, the result of hazard identification and risk assessment using the HIRADC method found 22 potential hazards, namely 3 with extreme risk level, and 5 with low risk level. Control were carried out based on the control hierarchy in the form of engineering, administrative, and personal protective equipment (PPE), which succeeded in reducing the risk level so that there were no jobs with extreme and high risk levels. Thus, it can be understood that proper risk control can prevent work accidents.

Applications of Zebrafish Embryo Models to Predict Developmental Toxicity for Agrochemical Product Development.

The development of safe crop protection products is a complex process that traditionally relies on intensive animal use for hazard identification. Methods that capture toxicity in early stages of agrochemical discovery programs enable a more efficient and sustainable product development pipeline. Here, we explored whether the zebrafish model can be leveraged to identify mammalian-relevant toxicity. We used transgenic zebrafish to assess developmental toxicity following exposures to known mammalian teratogens and captured larval morphological malformations, including bone and vascular perturbations. We further applied toxicogenomics to identify common biomarker signatures of teratogen exposure. The results show that the larval malformation assay predicted teratogenicity with 82.35% accuracy, 87.50% specificity, and 77.78% sensitivity. Similar and slightly lower accuracies were obtained with the vascular and bone assays, respectively. A set of 20 biomarkers were identified that efficiently segregated teratogenic chemicals from nonteratogens. In conclusion, zebrafish are valuable, robust, and cost-effective models for toxicity testing in the early stages of product development.

PENERAPAN METODE HIRARC UNTUK ANALISIS RISIKO KESELAMATAN KERJA PADA CONTAINER CRANE DI PELABUHAN PETI KEMAS BITUNG

The causes of work accidents can come anytime, anywhere and to anyone. The risk can be fatal or just a minor accident, depending on the level of opportunity. To minimize the number of work accidents, it is necessary to take anticipatory steps from both the workers and the company management. This research focuses on reducing the impact of work accidents by analyzing the risks of hazards that can occur in every job. Researchers research using the HIRARC method for efforts to prevent and reduce the potential for work accidents, avoid and minimize risks that occur appropriately by avoiding and minimizing the risk of work accidents and controlling fiber in order to carry out the activity process so that the process becomes safe. Based on the results of hazard identification, there are 9 sources of danger on the container crane at Container Port of Bitung with 1 hazard risk has a high risk level (H) / High, 6 hazard risks have a high risk Moderate (M) / Medium, and 2 hazard risk has a high risk level Low (L) / Low. Keywords : K3, Loading and Unloading Process, HIRARC.

Identification of Potential Hazards in Hazardous Waste Disposal Using Job Safety Analysis (JSA) At Infineon Technologies Batam

Infineon is a manufacturing company that in the production process produces a lot of hazardous waste. This study aims to identify potential hazards and risks using the Job Safety Analysis (JSA) method that exist in each work sequence, as well as determine risk criteria, provide risk assessment and risk control. The stages of data processing start from sequencing work steps, identifying hazards and risks, assessing the risk of potential hazards and determining proposals for controlling potential hazards. The results of this study found that the potential hazards that can cause injuries and work accidents in hazardous waste management are mostly related to chemical spillage and manual handling. There are 10 jobs that have a risk value of 6 and 2 jobs that have a risk value of 4. Improving work safety can be done by educating especially to waste operators and equipping PPE cabinets so that they are easily accessible.

Risk Management in Palm Fruit Harvesting Activities using the Hirarc Method PT. Prima Artha Dynamics

Risk Management in Palm Oil Fruit Harvesting Activities Using the Hirarc PT method. Prima Artha Dynamics. This research is motivated by a source of danger in oil palm fruit harvesting activities with the risk of work accidents in oil palm fruit harvesting activities. Therefore, the aim of this research is to analyze the main causes of the risk of work accidents in oil palm fruit harvesting activities, to analyze the severity of the risk of work accidents in oil palm fruit harvesting activities, To determine the steps taken to control the risk of work accidents in oil palm fruit harvesting activities. This research uses the HIRARC (Hazard Identification Risk Assessment Risk Control) method, namely by identifying sources of danger, analyze the level of risk and risk control efforts. Data was obtained through interviews with 18 harvest employees. From the results of this research, there are main causes that are a source of danger and risk for oil palm fruit harvesting activities, namely slippery land, palm fruit bunches, sharp objects, palm fronds, snake droppings/powder, centipedes and wasps. The main causes that are the source of danger and the occurrence of risks have a mild level of risk, namely falling/slipping, being hit by fruit when removing fruit to TPH, being hit by fronds during harvest, falling into the eyes of droppings, being stung by centipedes and being stung by wasps and for moderate risks, namely being injured/injured by sharp objects. Efforts to control the risks of oil palm fruit harvesting activities include the use of complete Personal Protective Equipment (PPE), upaya lain yang dilakukan adalah pembersihan lahan yang semak agar tidak menjadi sarang ular.

Identification of Potential Hazards in Occupational Safety and Health Among Rice Milling Workers at UD. Lestari

Occupational health and safety (OHS) is crucial for safeguarding workers' well-being and preventing workplace accidents and diseases. This study explores OHS hazards at UD Lestari, an informal sector rice milling operation in Semarang City, Indonesia. The research employed a descriptive qualitative approach, conducting interviews, observation, and measurements from April to May 2024. The aim of this study was to identify various OHS hazards present in UD. Lestari's rice milling operations. This research found that all respondents experienced respiratory problems (100%) and 3 people (50%) experienced hearing problems, attributed to inadequate use of Personal Protective Equipment (PPE) and smoking habits. Dust levels inside the production area exceeded permissible limits (8.04 mg/m3), posing risks of respiratory diseases. Similarly, noise levels surpassed recommended thresholds (93.26 dB), increasing the likelihood of hearing loss. This study contributes valuable insights into enhancing workplace safety and underscores the importance of ongoing efforts to safeguard worker health in informal sector industries. Future research should explore additional factors influencing OHS outcomes to further enhance workplace safety practices and employee well-being.

Hazard Identification Risk Assessment Onsite Survey for External Human-Induced Events Aspect of the Nuclear Power Plant in West Kalimantan, Indonesia

Every stage of the West Kalimantan Nuclear Power Plant (NPP) building process prioritizes safety. The external, human-induced events (HIE) aspect is one part of the NPP site survey, as some risks in the site evaluation procedure could compromise the safety of the activity implementers. As a result, a risk assessment study relating to occupational safety and health (OSH) is necessary. This study aims to determine the quantity of risk from NPP site survey activities in terms of the HIE aspect. The risk assessment method involves a literature review and collecting data from field verification using a quantitative method that refers to the risk assessment based on BATAN Standard 006.1:2019 to support the implementation of the OSH management system. Following that, the analysis begins with a hazard risk identification risk analysis to determine the risk probability scale and consequence scale acquisition that may result from the hazards. The research findings from the conducted assessment of risk related to the nonroutine HIE site survey show ergonomic, mechanical, and biological hazards that were developed during the preparation, field review, and reporting processes. The risk rating is category A, with a risk scale of 2, indicating acceptable risk and effective control measures. These data and information support site evaluation license requirements for Indonesia as it plans for the construction of NPPs.

Analysis and control of occupational safety risks using the HIRARC method in the Machining Workshop

This qualitative study focuses on occupational safety and health in vocational school machining workshops to identify significant risks related to training practices. Workplace accidents are considered a serious threat to workers and equipment, potentially affecting productivity and environmental safety. Observations at several vocational schools, especially at SMK Negeri 1 Batipuh, showed low student awareness and compliance with OHS regulations, increasing the risk of risky behaviour and accidents. To address this, the research used the Hazard Identification, Risk Assessment, and Risk Control (HIRARC) method, which systematically identifies hazards, evaluates risks based on severity and likelihood, and proposes control measures. The research at SMK Negeri 1 Batipuh involved direct observation, interviews, and analysis of SOPs in the workshop, finding significant risk variations in workshop conditions, lathe operations, welding, material handling, hand tool use, and machine protection. The results highlighted the predominance of intermediate risks in all-hazards analyzed, emphasizing the importance of developing more effective risk management strategies. This research aims to reduce accidents and improve student safety during training by addressing existing OHS implementation gaps and implementing appropriate risk controls. In addition to filling a gap in the literature, this study provides practical insights for improving OHS practices in vocational schools.

Risk Assessment And Patient Safety In Physiotherapy Practice: A Comprehensive Analysis Of Factors Contributing To Patient Falls

Risk assessment is a systematic procedure employed to detect potential dangers and evaluate the possible consequences of disasters or calamities, ensuring comprehensive hazard identification in the work environment. Integrating risk assessment into management and organizational processes is crucial, especially in healthcare settings like physiotherapy, where patient safety is paramount. This comprehensive review systematically compiled and analyzed relevant studies from scholarly journals, bibliographies, and related articles to evaluate the effectiveness of risk assessment procedures in identifying and mitigating potential hazards in physiotherapy practice. The review specifically focused on the use of the STEADI tool in conjunction with electronic health records (EHR) for joint risk assessments. The risk assessment process involves three key stages: identification, calculation, and implementation of control measures. Various methodologies were explored, including models like CATCH fall administration, PISTI management, multidisciplinary collaboration, and Fall TIPS. Falls, a major global health issue, are the 13th leading cause of death worldwide, with preventive strategies shown to reduce fall-related deaths by up to 92%. Effective risk assessment is essential for ensuring patient safety in physiotherapy. By identifying and mitigating potential risks, particularly those related to falls, healthcare providers can significantly improve patient outcomes and safety in clinical practice.

Informing Hazard Identification and Risk Characterization of Environmental Chemicals by Combining Transcriptomic and Functional Data from Human-Induced Pluripotent Stem-Cell-Derived Cardiomyocytes.

Environmental chemicals may contribute to the global burden of cardiovascular disease, but experimental data are lacking to determine which substances pose the greatest risk. Human-induced pluripotent stem cell (iPSC)-derived cardiomyocytes are a high-throughput cardiotoxicity model that is widely used to test drugs and chemicals; however, most studies focus on exploring electro-physiological readouts. Gene expression data may provide additional molecular insights to be used for both mechanistic interpretation and dose-response analyses. Therefore, we hypothesized that both transcriptomic and functional data in human iPSC-derived cardiomyocytes may be used as a comprehensive screening tool to identify potential cardiotoxicity hazards and risks of the chemicals. To test this hypothesis, we performed concentration-response analysis of 464 chemicals from 12 classes, including both pharmaceuticals and nonpharmaceutical substances. Functional effects (beat frequency, QT prolongation, and asystole), cytotoxicity, and whole transcriptome response were evaluated. Points of departure were derived from phenotypic and transcriptomic data, and risk characterization was performed. Overall, 244 (53%) substances were active in at least one phenotype; as expected, pharmaceuticals with known cardiac liabilities were the most active. Positive chronotropy was the functional phenotype activated by the largest number of tested chemicals. No chemical class was particularly prone to pose a potential hazard to cardiomyocytes; a varying proportion (10-44%) of substances in each class had effects on cardiomyocytes. Transcriptomic data showed that 69 (15%) substances elicited significant gene expression changes; most perturbed pathways were highly relevant to known key characteristics of human cardiotoxicants. The bioactivity-to-exposure ratios showed that phenotypic- and transcriptomic-based POD led to similar results for risk characterization. Overall, our findings demonstrate how the integrative use of in vitro transcriptomic and phenotypic data from iPSC-derived cardiomyocytes not only offers a complementary approach for hazard and risk prioritization, but also enables mechanistic interpretation of the in vitro test results to increase confidence in decision-making.

Systematic risk ranking of microbiological hazards in infant foods

Ensuring food safety, particularly for vulnerable groups, like infants and young children, requires identifying and prioritizing potential hazards in food chains. We previously developed a web-based decision support system (DSS) to identify specific microbiological hazards (MHs) in infant and toddler foods through a structured five-step process. This study takes the framework further by introducing systematic risk ranking (RR) steps to rank MH risks with seven criteria: process survival, recontamination, growth opportunity, meal preparation, hazard-food association evidence, food consumption habits of infants and toddlers in the EU, and MH severity. Each criterion is given a semi-quantitative or quantitative score or risk value, contributing to the final MH risk calculation via three aggregation methods: semi-quantitative risk scoring, semi-quantitative risk value, and outranking multi-criteria decision analysis (MCDA). To validate the criteria and ranking approaches, we conducted a case study to rank MH risks in infant formula, compared the results of the three risk ranking methods, and additionally evaluated the ranking results against expert opinions to ensure their accuracy. The results showed strong agreement among the three methods, consistently ranking Salmonella non-Typhi and Cronobacter spp. and Shiga-toxin-producing Escherichia coli as the top MH risks in infant formulae, with minor deviations. When MHs were ranked after an initial hazard identification step, all three methods produced nearly identical MH rankings, reinforcing the reliability of the ranking steps and the selected criteria. Notably, the risk value and MCDA methods provided more informative MH rankings compared to the risk scoring method. The risk value and risk scoring methods were implemented into an online tool, called the MIcrobiological hazards risk RAnking decision support system (Mira-DSS), available at https://foodmicrobiologywur.shinyapps.io/MIcrobial_hazards_RAnking/. In conclusion, our framework enables the ranking of MH risks, facilitating intervention comparisons and resource allocations to mitigate MH risks in infant foods, with potential applicability to broader food categories.

Proactive safety hazard identification using visual–text semantic similarity for construction safety management

Automated safety management in construction can reduce injuries by identifying hazardous postures, actions, and missing personal protective equipment (PPE). However, existing computer vision (CV) methods have limitations in connecting recognition results to text-based safety rules. To address this issue, this paper presents a multi-modal framework that bridges the gap between construction image monitoring and safety knowledge. The framework includes an image processing module that utilizes CV and dense image captioning techniques, and a text processing module that employs natural language processing for semantic similarity evaluation. Experiments showed a mean average precision of 49.6% in dense captioning and an F1 score of 74.3% in hazard identification. While the proposed framework demonstrates a promising multi-modal approach towards automated safety hazard identification and reasoning, improvements in dataset size and model performance are still needed to enhance its effectiveness in real-world applications.

Development and Application of IoT Monitoring Systems for Typical Large Amusement Facilities.

The advent of internet of things (IoT) technology has ushered in a new dawn for the digital realm, offering innovative avenues for real-time surveillance and assessment of the operational conditions of intricate mechanical systems. Nowadays, mechanical system monitoring technologies are extensively utilized in various sectors, such as rotating and reciprocating machinery, expansive bridges, and intricate aircraft. Nevertheless, in comparison to standard mechanical frameworks, large amusement facilities, which constitute the primary manned electromechanical installations in amusement parks and scenic locales, showcase a myriad of structural designs and multiple failure patterns. The predominant method for fault diagnosis still relies on offline manual evaluations and intermittent testing of vital elements. This practice heavily depends on the inspectors' expertise and proficiency for effective detection. Moreover, periodic inspections cannot provide immediate feedback on the safety status of crucial components, they lack preemptive warnings for potential malfunctions, and fail to elevate safety measures during equipment operation. Hence, developing an equipment monitoring system grounded in IoT technology and sensor networks is paramount, especially considering the structural nuances and risk profiles of large amusement facilities. This study aims to develop customized operational status monitoring sensors and an IoT platform for large roller coasters, encompassing the design and fabrication of sensors and IoT platforms and data acquisition and processing. The ultimate objective is to enable timely warnings when monitoring signals deviate from normal ranges or violate relevant standards, thereby facilitating the prompt identification of potential safety hazards and equipment faults.

Identifikasi Bahaya Dan Penilaian Risiko Di Stasiun Boiler Menggunakan Metode Hirarc Di Pt.Kim Nagan Raya

Hazard identification and risk assessment at the PT.KIM Boiler Station is an effort to prevent work accidents for operators. The problems encountered when operating the equipment were that 2 operators suffered injuries due to bursts of fire, cuts, exposure to Boiler ash, and experienced noise disturbances, this could have occurred due to the operators' disobedience in using personal protective equipment (PPE). The aim of this research is to identify risk hazards at Boiler stations using the HIRARC method at PT.KIM Nagan Raya. This type of research is qualitative in nature which uses a natural setting for the purpose of interpreting phenomena that occur and is carried out by being involved in finding narrative images that give rise to the impact of a person's actions. The research was conducted at PT.KIM to 5 informants, of which the main informants were 3 operators at the Boiler Station, 1 Health Safety Environment (HSE) person as a key informant, and 1 process assistant as a supporting informant. Data collection techniques were carried out by observation and in-depth interviews, data analysis used the HIRARC method. The research results obtained from risk assessment using the HIRARC method with the Risk Matrix table show that a medium risk presentation of 60% is categorized as moderat , a low risk presentation of 20% is categorized as low , and a high risk presentation of 20% is categorized as high. The conclusion of the research is that at the Boiler Station, it was found that there were work accidents at a medium level of 60%, while at a low level it was 20% and at a high level it was only 20%, so it can be concluded that there are indications of work accidents occurring, and this will increase if Boiler Station operators do not use Personal Protective Equipment (PPE). The suggestion is that PT.KIM can implement the SOP optimally in using Personal Protective Equipment (PPE).

Hazard Identification and Risk Assessment for Sustainable Shipyard Floating Dock Operations: An Integrated Spherical Fuzzy Analytical Hierarchy Process and Fuzzy CoCoSo Approach

Background: This study investigated the process of selecting sustainable safety protocols for floating dock operations in shipyards by identifying potential workplace risks in emergency situations. Thirteen occupational hazards for shipyard floating dock operations were identified through a literature review and expert discussions. Methods: We incorporated four risk elements (consequence: C, frequency: F, probability: P, and number of people at risk: NP) from the Fine–Kinney and Hazard Rating Number System (HRNS) approaches as the risk assessment criteria. We obtained the importance weights of the risk assessment criteria via the Spherical Fuzzy Analytical Hierarchy Process (SF-AHP) and extended the Combined Compromise Solution (CoCoSo) method within the fuzzy framework to prioritize occupational hazards. This study demonstrated the practicality and efficiency of the proposed emergency risk assessment model for shipyard floating dock operations through a case example of occupational risk assessment. Results: The analysis results show that H4 is the occupational hazard with the highest priority, with a score of 3.553. H4 represents the hazard associated with insufficient access to the entire pool area. The second and third most important hazards are the inability of cranes to move freely in and out of the berthing dock and the inability to dispatch emergency teams. These hazards, denoted H1 and H12, follow closely behind with scores of 3.391 and 3.344, respectively. H10 is deemed the least concerning hazard, with a score of 1.802. Conclusions: Professionals can handle complex and uncertain risk assessment data more flexibly using the proposed system, which excels in accurately organizing occupational hazards.

The impact of safety attitude on hazard identification and risk analysis: evidence from event-related potentials

ABSTRACT A questionnaire survey and an event-related potential (ERP) experiment were used to reveal the impact of safety attitudes on risk perception. The results revealed that during hazard identification, the N130 amplitude of subjects with negative safety attitude was significantly higher, which implied that subjects with negative safety attitude were more likely to feel confused. During risk analysis, subjects with positive safety attitude were more inclined to overestimate the probability and damage degree of risks; subjects with positive safety attitudes displayed higher P150 and late positive potential amplitudes, which indicated that subjects with positive safety attitudes devoted more attention to risks in the early stage of risk analysis and had a more intense affective response in the later period. The risk judgment ability of subjects with positive safety attitude was affected by time pressure, and they exhibited higher risk judgment accuracy only under no time pressure.