Journal of Safety and Sustainability最新文献

{"title":"Experimental and numerical investigation on mechanical and fracture characteristics of jointed rock with varying roughness","authors":"Chengguo Hu ,&nbsp;Xiaozhao Li ,&nbsp;Yun Wu ,&nbsp;Bo Meng ,&nbsp;Bangguo Jia","doi":"10.1016/j.jsasus.2024.12.001","DOIUrl":"10.1016/j.jsasus.2024.12.001","url":null,"abstract":"<div><div>Commonly existing joints in the surrounding rock of deep underground excavation significantly impact the stability and support of surrounding rock. In this study, the roughness of rock fracture surfaces at different unloading points was determined, and then jointed rock masses with varying joint roughness coefficients were prepared by 3D printing. The uniaxial compression tests and the discrete element particle flow code in 2 demension (PFC2D) numerical simulations were used to evaluate the strength characteristics and crack propagation with varying joint roughness. The results show that the peak strength, peak strain, elastic modulus and secant modulus increased with the joint roughness coefficient under uniaxial compression. Peak strength and elastic modulus were more sensitive to joint roughness. With the increased joint roughness coefficient, the failure mode of the rock sample transformed from shear failure to tensile-shear mixed failure and splitting failure. In addition, the strain with tensile and shear cracks increased, and the number of tensile cracks increased with the increasing joint roughness coefficients, whereas the shear cracks decreased. The initiation and propagation of microcracks are the fundamental reasons for the ultimate failure of jointed rock masses.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"2 1","pages":"Pages 59-71"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143808444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Motor vehicle crashes and seat belt compliance among law enforcement officers: A systematic literature review","authors":"Melanie Fowler,&nbsp;Avishek Choudhury","doi":"10.1016/j.jsasus.2025.02.004","DOIUrl":"10.1016/j.jsasus.2025.02.004","url":null,"abstract":"<div><div>Motor vehicle crashes (MVCs) remain a leading cause of injury and death in the United States, with seatbelt noncompliance identified as a key modifiable risk factor. While previous studies have focused on the general population, emerging evidence suggests that law enforcement officers (LEOs) face unique challenges that may further compromise seatbelt use. Enhancing compliance across both groups is critical to reducing MVC-related injuries and fatalities. This systematic literature review explored factors responsible for seatbelt noncompliance among drivers in the United States. Additionally, with a focus on LEOs, the review also seeks to determine whether any existing interventions or methods applicable to the general population can be specifically adapted for LEOs to enhance their compliance with seatbelt regulations. A systematic search of PubMed, IEEE Xplore, and Web of Science was performed to identify relevant articles published in English from January 2012 to December 2023. Articles were initially evaluated based on their titles and abstracts and then further reviewed and organized to ensure eligibility for inclusion in this study. The extracted data were analyzed to identify common risk factors, intervention outcomes, and recommendations made to improve seatbelt compliance. 227 articles were identified, of which 31 studies were eligible for the review. Four studies focused on LEOs’ seatbelt compliance, and 27 concentrated on the general population. The review identified multiple demographic, behavioral, and environmental risk factors contributing to seatbelt noncompliance, including lower education levels, younger age, male gender, rurality, and cultural risk perceptions. Primary enforcement laws, higher fines, and high-visibility enforcement campaigns were consistently associated with improved compliance in the general population. Among LEOs, unique occupational challenges—such as rapid vehicle egress requirements, interference from duty gear, and organizational culture—were found to hinder seatbelt use. Implementing robust primary enforcement policies and targeted public health interventions can significantly improve seatbelt compliance among the general driving public. Moreover, adapting these strategies to account for the unique operational challenges faced by LEOs is expected to improve their safety on duty. Future efforts should develop integrated approaches that combine legislative change, tailored training, and cultural shifts within law enforcement agencies to reduce MVC-related injuries and fatalities across all populations.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"2 1","pages":"Pages 11-21"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143808530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Human machine teaming in mobile miniaturized aviation logistics systems in safety-critical settings","authors":"Gwendolyn Morgan ,&nbsp;Martha Grabowski","doi":"10.1016/j.jsasus.2025.02.001","DOIUrl":"10.1016/j.jsasus.2025.02.001","url":null,"abstract":"<div><div>Advances in artificial intelligence (AI) and autonomous systems allow machines to increasingly function as teammates with their human partners, rather than as tools used by the humans. As teammates, machines share team goals, act to achieve those goals, and coordinate those actions with other teammates. Autonomous systems and AI herald new capabilities in human machine teams (HMTs) in which plans, activities, communications, and decisions are guided by intelligent technology, advanced computation and sensor systems, and a combination of human and automated decision makers. Uncrewed aerial systems (UAS) in HMTs, or mobile miniaturized aviation logistics systems (MMALs), have stretched the reach and impact of logistics systems, transporting critical supplies, equipment, parts and material, often to remote locations with minimal infrastructure. Although researchers have often considered MMALs’ impacts in safety-critical systems, there is increasing interest in understanding the role of AI and automation in HMT, and in empirical research and theoretical models that directly address the impacts of HMTs that incorporate MMALs. To address these needs, we present a framework and research project evaluating autonomous and AI-enabled UAS in human machine teams. We describe use of the framework in a case study of Arctic emergency response and logistics operations and conclude with needs for future research.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"2 1","pages":"Pages 22-31"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143808531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Statistical survey on the prevention of major industrial accidents (MIAs) in the EU Member States in 2000–2020","authors":"Holla Katarina,&nbsp;Kockar Samuel","doi":"10.1016/j.jsasus.2024.12.003","DOIUrl":"10.1016/j.jsasus.2024.12.003","url":null,"abstract":"<div><div>This study provides a statistical analysis of major industrial accidents (MIAs) in European Union Member States for the years 2000–2020, focusing on the general chemicals manufacturing sector, which has experienced the highest number of MIAs. Based on data from the European Major Accident Reporting System (eMARS) database, reports of 114 accident reports in the highest risk sector were reviewed, representing 9% of all recorded accident reports. The results showed a preponderance of toxic spills as the main physical consequence, with causes related to equipment failure and improper work practices. The study also highlighted the effectiveness of the SEVESO III Directive in reducing incidents, emphasising the importance of safety measures in industry.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"2 1","pages":"Pages 72-80"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143808532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ergonomic adequacy of university tablet armchairs for male and female: A multigroup item response theory analysis","authors":"Lucas Gomes Miranda Bispo ,&nbsp;Fernando Gonçalves Amaral ,&nbsp;Jonhatan Magno Norte da Silva ,&nbsp;Italo Rodeghiero Neto ,&nbsp;Lara Karine Dias Silva ,&nbsp;Iris Lima da Silva","doi":"10.1016/j.jsasus.2024.10.001","DOIUrl":"10.1016/j.jsasus.2024.10.001","url":null,"abstract":"<div><div>Brazilian university tablet armchairs, often based on international standards, may not suit students well due to anthropometric differences between sexes. This study developed a scale to compare ergonomic adequacy for male and female students, with the potential to significantly impact the future of school furniture. A closed-ended questionnaire containing a four-point Likert scale was administered to 258 students, covering aspects such as seat, backrest, tablet arm, extension, material holder, and general features. The questionnaire's discriminatory capacity and item difficulty were assessed using the multigroup item response theory. The items presented satisfactory values of factor loading (<em>F</em> ​&gt; ​0.3), commonality (<em>h</em>^<em>2</em>&gt;0.2), discrimination (<em>a</em>_<em>i</em>&gt;0.7), and difficulty (<em>b</em>_<em>i</em>) ​∈ ​[-4.105; 4.208]. Furthermore, the items cover information in a good region above and below the mean (−4 ​&lt; ​<em>θ</em> ​&lt; ​4) for both genders. The scale presented eight levels ranging from no adequacy (<em>θ</em> ​≤ ​29.99) to maximum adequacy (<em>θ</em> ​≥ ​90.00). Male and female exhibited different response patterns, indicating opportunities for furniture improvement for each gender. For example, female often disagree more strongly with ergonomic characteristics at lower levels than male, particularly regarding seat height and backrest width. Male and female responded differently, suggesting varied adequacy needs even at the same adequacy level. These findings could guide Brazilian manufacturers and regulators in producing school furniture considering students' diverse body dimensions and comfort, quality, and safety perceptions.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"1 4","pages":"Pages 223-233"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143273704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial Board Member","authors":"","doi":"10.1016/S2949-9267(24)00054-4","DOIUrl":"10.1016/S2949-9267(24)00054-4","url":null,"abstract":"","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"1 4","pages":"Page i"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143273194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Accident causation analysis of metal processing plants based on questionnaire and Bayesian network","authors":"Fuqiang Yang,&nbsp;Shiyi Li,&nbsp;Xinhong Wu,&nbsp;Fanliang Ge","doi":"10.1016/j.jsasus.2024.11.005","DOIUrl":"10.1016/j.jsasus.2024.11.005","url":null,"abstract":"<div><div>Metal dust and metal waste from the process of metal processing are prone to fire and explosion, resulting in personal injury and property losses. It is necessary to explore the causes of fire and explosion in metal processing plants for the prevention and management of safety accidents. Firstly, this study collected relevant information of fire and explosion accidents in metal processing plants though questionnaire investigation. Then, three experts with authority in this field were chosen, and the experts’ weights were calculated. Secondly, Bayesian networks of metal processing plants were established according to accident information. In addition, questionnaire data and the expert score after fuzzing were applied to serve as probabilistic data for Bayesian networks. Finally, a safety management model was constructed based on the sensitivity analysis in the Bayesian network. It is shown that the probability of human and management errors is the largest in a plant. Compared to other factors, the probability of occurrence of an unsafe state of material is the smallest. Human errors and the ventilation system is not activated are the two factors that have the greatest influence on the accidents. This study provides assistance in improving safety in metal processing plants.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"1 4","pages":"Pages 247-256"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143273702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulation study on response characteristics of water—bearing zone in metal mine monitored by resistivity method","authors":"Zexi Zhao ,&nbsp;Xiwen Yao ,&nbsp;Kaili Xu ,&nbsp;Lei Yang","doi":"10.1016/j.jsasus.2024.11.006","DOIUrl":"10.1016/j.jsasus.2024.11.006","url":null,"abstract":"<div><div>This study uses a finite element model to numerically simulate the water inrush process of metal mines, and studies the response characteristics of water rich fracture zones in metal mines under different water content conditions and development distances. The results indicate that with the increase of water content in the water rich fracture zone, the resistance value measured by the electrical method also decreases, and the resolution ability for low resistivity anomalous bodies is strong. When the rich water fracture zone is about to reach the measured node, the measured resistance value undergoes an abnormal mutation, specifically manifested as a sudden increase in apparent resistivity value from a decreasing form. When the rich water fracture zone passes through the measured node potential, the apparent resistivity value suddenly decreases. Through numerical experiments, the response characteristics of apparent resistivity and permeability precursors were revealed, and it was clarified that the decrease and abnormal mutation of apparent resistivity are important precursor information for permeability. This has important reference significance for monitoring and predicting permeability disasters in practical engineering.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"1 4","pages":"Pages 212-222"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143274599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Numerical investigation of hydrogen vapor cloud explosion from a conceptual offshore hydrogen production platform","authors":"Jihao Shi ,&nbsp;Jiyuan Li ,&nbsp;Yuntao Li ,&nbsp;Asif Sohail Usmani ,&nbsp;Laibin Zhang","doi":"10.1016/j.jsasus.2024.11.004","DOIUrl":"10.1016/j.jsasus.2024.11.004","url":null,"abstract":"<div><div>Offshore hydrogen production platforms have the potential to become significant components in the upcoming large-scale offshore hydrogen production, contributing to the global commitment to carbon neutrality. However, the risk of hydrogen leaks is inherent, and the ignition of released flammable mixture can lead to catastrophic explosion, endangering both structures and nearby personnel. This study aims to numerically investigate the hydrogen vapor cloud explosion from offshore hydrogen production platform. The solvers published within the OpenFOAM framework are validated against two public tests involving hydrogen gas explosions within obstacles. A numerical model of the hydrogen vapor cloud explosion from a conceptual offshore hydrogen production platform is then constructed. The effect of offshore facility layout configuration on flame propagation mechanism and overpressure characteristics is analyzed. Results indicate that the presence of compressor equipment and cylindrical hydrogen storage tank leads to accelerated flame propagation and higher overpressure peaks. By reducing the cross-sectional area of the compressor equipment by 68 ​% perpendicular to the flame propagation direction, the maximum flame propagation speed and overpressure are reduced by 88.6 ​% and 94.2 ​%, respectively. With an appropriate layout that maintains a cross-sectional area of 0.008, the presence of compressor equipment may not exacerbate the consequences compared to scenarios without any compressor equipment. This study provides a foundational basis for the safety design of offshore hydrogen production platforms, aiming to mitigate potential hydrogen explosion hazards.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"1 4","pages":"Pages 189-201"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143274598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A maturity model of occupational safety and health in industry 4.0: An analysis in Brazilian organizations","authors":"Verônica Venturini Kusma ,&nbsp;Bruna Maria Gerônimo ,&nbsp;Fernanda Cavicchioli Zola ,&nbsp;Franciely Veloso Aragão ,&nbsp;Daiane Maria De Genaro Chiroli ,&nbsp;João Luiz Kovaleski","doi":"10.1016/j.jsasus.2024.11.002","DOIUrl":"10.1016/j.jsasus.2024.11.002","url":null,"abstract":"<div><div>The Industry 4.0 paradigm reshapes labor dynamics, substituting human activities with efficient machines and interconnecting systems into complex networks. This transformation challenges workers' health and occupational safety. Technical adaptation is crucial for market competitiveness amidst this evolving landscape. At the same time, investment in training is imperative for a successful transition into this new industrial era. Nonetheless, many enterprises still need a comprehensive understanding of Industry 4.0 concepts and their relevance to occupational safety. To address this gap, this study proposes a maturity model (MM) for evaluating occupational safety in the context of Industry 4.0. The model was developed through a three-step process: development, application, and validation. It incorporates a framework of seven analysis groups: strategy, leadership, operations, organizational culture, people, governance, and technology. Criteria for each group were established based on current Brazilian regulatory standards (ISO 45001) and recent literature. The best-worst method (BWM) was employed to assign weights to these criteria and evaluate the model's effectiveness. Testing and validation of the model were carried out in two chemical industries in Brazil. The results indicate that the proposed model effectively aids organizations in assessing their maturity level in health and occupational safety amidst Industry 4.0 challenges. It provides valuable insights for aligning organizational strategies with best practices in occupational safety and Industry 4.0 integration.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"1 4","pages":"Pages 234-246"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143273703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}