Journal of Safety and Sustainability最新文献

{"title":"Predicting seismic sustainability for a complex CHESST interaction by AHP using LWST","authors":"Foisal Haque","doi":"10.1016/j.jsasus.2024.07.001","DOIUrl":"10.1016/j.jsasus.2024.07.001","url":null,"abstract":"<div><div>Underground and over-ground structures are affected by the external forces (tsunami, earthquake, storm, etc.) that are directly related to the environment and change in climate. For this reason, a complex climate-human-environment-structure-soil-tunnel (GHESST) interaction model is proposed in this research which is categorized based on the structure types (building, bridge, elevated, road/rail way). The best CHESST interaction model is selected based on the analytic hierarchy process (AHP) by using logical weightage selection technique (LWST). The LWST depends on the proposed modified logical scale. The logical weightage matrices are prepared for the three criteria (environment and climate, social, and economic), three sub-criteria under each criteria, and goal (selection of best CHESST interaction model). The weightage selection technique is validated based on the acceptable rate of decision change sensitivity. The elevated (alternative of the CHESST interaction model) shows the maximum value of seismic sustainability index (SSI) among all alternatives based on the AHP results. Also, the maximum fluctuation rate of strain is found for the elevated structure of the CHESST interaction model from the shake table test results. The most seismic sustainable CHESST interaction model is elevated expressway according to the SSI because of showing highest priority of 0.368. However, there is a scope to enhance this research in future by considering more alternatives, criteria, sub-criteria, etc.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"1 3","pages":"Pages 181-188"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747189","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":"Process deviations, early sensemaking, and enabling operators: Thinking beyond the traditional alarm-based practice to enhance industrial resilience","authors":"Mohammad Bakhshandeh ,&nbsp;Jayantha P. Liyanage ,&nbsp;Bjarne Andre Asheim ,&nbsp;Lu Li","doi":"10.1016/j.jsasus.2024.09.002","DOIUrl":"10.1016/j.jsasus.2024.09.002","url":null,"abstract":"<div><div>In the dynamic landscape of modern industrial systems, there is an emerging important need for new thinking and practice to facilitate risk-informed decision-making, especially in high-risk industrial sectors. Such novel solutions should enable operators to proactively counteract and prevent unwanted events and incidents. Efforts to harness and convert relevant data to meaningful information with unique meanings, in fact represents new opportunities to create relevant knowledge of the actual context. This research examines this through early sensemaking of process deviations, facilitating a seamless integration of information towards context-sensitive decision-making processes. Two industrial approaches are discussed: a conventional alarm-based practice, as well as an enhanced approach. The research underscores the application of such techniques through two industrial cases, aiming at fostering enhanced resilience, reliability, and safety within high-risk industrial settings.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"1 3","pages":"Pages 161-172"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747295","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 multi-criteria decision-making approach for prioritizing factors influencing healthcare workers' safety performance: A case of a women's hospital","authors":"L. Omidi ,&nbsp;Gh. Moradi ,&nbsp;V. Salehi ,&nbsp;M. Khosravifar","doi":"10.1016/j.jsasus.2024.09.005","DOIUrl":"10.1016/j.jsasus.2024.09.005","url":null,"abstract":"<div><div>This study was designed to examine the influence of organizational and individual-level factors on the safety performance of healthcare workers at a women's hospital. Healthcare workers in different occupational groups enrolled in the current study. A questionnaire was used for data collection, and the data were analyzed using an integrated multi-criteria decision-making (MCDM) approach. The entropy method was applied to prioritize influential factors, including safety climate, perceived organizational support for safety, perceived supervisor support for safety, safety voice, organizational resilience, and individual resilience, and the technique for order preference by similarity to an ideal solution (TOPSIS) was employed to rank the alternatives (healthcare workers in different occupational groups). The finding of the entropy method illustrated that perceived organizational support for safety and organizational resilience had the highest influence on healthcare workers' safety performance. The other most influential factor was individual resilience. Regarding safety performance components, safety compliance was more important than safety participation. TOPSIS results suggested that radiologists, nurses, and midwives experienced higher safety performance levels than the other occupational groups in the study women's hospital. The findings of this study demonstrated that organizational and individual-level factors such as safety climate, perceived organizational and supervisor support for safety, and resilience-related factors significantly influence healthcare workers' safety performance, and compliance with safety rules and procedures is essential to achieve better safety performance.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"1 3","pages":"Pages 173-180"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747296","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":"Development of a rating model for assessing the condition of steel railway bridges","authors":"NKNM Nakkawita,&nbsp;BHJ Pushpakumara","doi":"10.1016/j.jsasus.2024.09.001","DOIUrl":"10.1016/j.jsasus.2024.09.001","url":null,"abstract":"<div><div>Steel railway bridges play a crucial role in global transportation networks, yet their operational lifespan is often compromised by factors such as corrosion, aging, exposure conditions, and environmental challenges. Structural health monitoring (SHM) systems are widely employed to extend the longevity of these bridges. However, existing SHM models typically have limitations, as they tend to focus on a limited set of parameters, and their reliance on qualitative definitions introduces subjectivity into the evaluation process. To address these shortcomings, this research aims to develop an innovative priority weight-based condition rating model. Casual factors (CF), laboratory and non-destructive tests (NDT), visual inspection (VI), environmental conditions (EC), and type of element (TOE), were identified as main parameters to the condition assessment. Then, the research gathered opinions from 100 experts to establish the importance of these parameters. By averaging expert opinions and ensuring a high level of consistency (i.e. below 10%), the study aimed to minimize subjectivity. Numerical definitions were introduced to the model to enhance objectivity. The fuzzy analytical hierarchy process (FAHP) was employed to calculate appropriate weightings for the identified parameters, resulting in a comprehensive equation that encapsulates the main factors influencing the condition of steel railway bridges. To validate the developed rating model, a case study was conducted, analyzing seventeen railway bridges located in various regions of Sri Lanka. Notably, the model takes into account physical, geographical, and environmental conditions, making it applicable to diverse locations worldwide. This innovative approach contributes to the enhancement of steel railway bridge maintenance strategies, promoting their sustained and reliable operation on a global scale.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"1 3","pages":"Pages 151-160"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747294","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 system dynamics approach to plan strategy for managing factors influencing safety hazards on construction sites in developing countries","authors":"Syed Muhammad Taimur Shah ,&nbsp;Asmat Ullah","doi":"10.1016/j.jsasus.2024.09.003","DOIUrl":"10.1016/j.jsasus.2024.09.003","url":null,"abstract":"<div><div>In order to improve site performance, this research paper seeks to identify safety-related risks related to construction workers on construction sites and to design a system dynamics model to handle the complexities of these hazards. The study uses causal loop diagrams (CLDs) to show how different elements that contribute to safety concerns are related to one another. The system dynamics (SD) model was built with the help of the five reinforcing and two balancing loops that the CLD analysis revealed. “Lack of managerial interest”, “Unforeseen circumstances”, “Lack of personal protective equipment”, “Knowledge regarding appropriate hazards”, and “Innovative technologies on safety measures” are the five main stocks that make up the SD model. The results show that two important factors impacting safety dangers are the sluggish adoption of innovative safety technologies and the lack of personal protective equipment. This study offers construction companies a methodology for quickly and effectively identifying and addressing safety issues.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"1 3","pages":"Pages 141-150"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747293","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)00036-2","DOIUrl":"10.1016/S2949-9267(24)00036-2","url":null,"abstract":"","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"1 3","pages":"Page i"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747291","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":"Use of quantitative risk assessment to enhance the safety of ships using ammonia as fuel","authors":"Andrew Franks ,&nbsp;Samie Parkar ,&nbsp;Claus Rud Hansen","doi":"10.1016/j.jsasus.2024.09.004","DOIUrl":"10.1016/j.jsasus.2024.09.004","url":null,"abstract":"<div><div>Efforts to decarbonise the shipping industry have led to the consideration of several alternative fuels, including ammonia. Safety concerns have been raised about the use of ammonia due to its toxicity. Quantitative risk assessment is applied to two vessel designs that use ammonia as fuel (a containership and a tanker). The effectiveness of risk reduction measures and the effect of design changes is studied. Risk criteria for use in this context are discussed and the results compared with those criteria. The method enables identification and evaluation of a risk reduction measure that is not currently mandated within the design requirements for such vessels. Following risk reduction, the individual risks were shown to be at a tolerable level and below the project criterion. The results of sensitivity analyses are also presented.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"1 3","pages":"Pages 127-140"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747292","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":"Fostering a safety culture in manufacturing through safety behavior: A structural equation modelling approach","authors":"","doi":"10.1016/j.jsasus.2024.03.001","DOIUrl":"10.1016/j.jsasus.2024.03.001","url":null,"abstract":"<div><div>Creating a robust safety management system is crucial for fostering a culture of safety in the workplace, particularly in industries like manufacturing where improvements are still needed. This study aimed to assess the impact of safety behavior on safety culture within the manufacturing sector. Employing a quantitative approach, questionnaires were distributed to 342 employees in manufacturing firms during data collection. The collected data underwent analysis using structural equation modeling (SEM) through IBM-SPSS-AMOS 24.0 to test the proposed model. The study findings revealed that components of safety behavior, specifically safety compliance and safety leadership, have a significant influence on safety culture. This implies that prioritizing safety behavior and culture is vital for occupational safety and health, aligning with guidelines set by responsible entities to ensure a secure work environment. The insights gained from this research can be instrumental in highlighting the importance of safety culture, the pivotal role of leadership, the complex nature of safety culture, and the potential for measuring and enhancing it. By understanding these implications, organizations can foster a safety-centric culture that not only protects employees but also enhances overall performance. Additionally, this research contributed to the existing literature by examining an integrated higher-order construct model using the SEM technique, predicting the model by 53 percent. The insights garnered from this study are applicable to various types of firms, emphasizing the integral role of safety culture in any organization.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"1 2","pages":"Pages 108-116"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S294992672400009X/pdfft?md5=d2ccdc6c869d6be6f396d66f7bb6a32c&pid=1-s2.0-S294992672400009X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140272790","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":"Estimating, appraising and establishing blast exclusion zone at Huni pit - A case study","authors":"","doi":"10.1016/j.jsasus.2024.01.001","DOIUrl":"10.1016/j.jsasus.2024.01.001","url":null,"abstract":"<div><div>The issue of accidental flyrock has the tendency to develop safety concerns for commuters around the main public road as mining progressed from 960 ​m reduced level (RL) to 912 ​m RL at Huni pit in Ghana. An evaluation was carried out using empirical models and an artificial neural network to assess and determine the safest blast exclusion zone. The calculations showed that the flyrock could travel a maximum of 220 ​m and 277.45 ​m horizontally for blast hole diameters of 115 ​mm and 127 ​mm, respectively, with the same stemming length of 2.0 ​m. The distances to the public road are much farther than these projected maximum horizontal distances. An artificial neural network (ANN) was also employed to predict the flyrock distance and it was found that the ANN model has the best root mean squared error (<em>RMSE</em>) value of 0.0012 and the highest coefficient of determination (<em>R</em>²) value of 0.99 for the flyrock throw prediction. Hence, the blast exclusion zone has been reduced to 500 ​m all around the pit from the pit crest satisfying the recommendation suggested by the Minerals Commission of Ghana. With the new blast exclusion zone, travelling from Damang through Akyempim to Twifo Praso, Takoradi, Cape Coast, and Accra during blasting times is no longer a bother.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"1 2","pages":"Pages 98-107"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949926724000015/pdfft?md5=6e942fbb374aa1fda382dd321ac1b539&pid=1-s2.0-S2949926724000015-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139454838","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":"Mechanical strength change and coal damage analysis of frozen saturated bitumite after cryogenic freezing","authors":"","doi":"10.1016/j.jsasus.2024.06.001","DOIUrl":"10.1016/j.jsasus.2024.06.001","url":null,"abstract":"<div><div>The changes in mechanical strength and damage analysis of bitumite under the action of liquid nitrogen (LN₂) freezing are critical issues that need to be addressed in the application of LN₂ in coal seam permeability enhancement. Using an mechanical testing &amp; simulation (MTS) testing machine, strain gauges, and ultrasonic detection instruments, experiments were conducted to obtain stress–strain curves and ultrasonic time-domain images of coal samples after single freezing and cyclic freeze–thaw processes. These data were analyzed to understand the mechanical performance and internal fracture evolution of coal samples subjected to ultra-low temperatures of LN₂. The experimental results indicate that: (1) The uniaxial compressive strength and elastic modulus of coal samples subjected to a single LN₂ freeze are positively correlated with the freezing time from 0 to 50 ​min, and negatively correlated with the freezing time from 50 to 180 ​min. (2) The uniaxial compressive strength and elastic modulus of coal samples subjected to cyclic freezing and thawing with LN₂ decrease as the number of freeze-thaw cycles increases. (3) The Poisson's ratio of coal samples subjected to single freezing and cyclic freezing-thawing is negatively correlated with the absolute freezing time. Additionally, the decrease in Poisson's ratio is greater in coal samples subjected to cyclic freezing-thawing compared to those subjected to single freezing. (4) As the absolute freezing time increases, the ultrasonic waveforms of the coal samples begin to become disordered, which is manifested by a decrease in amplitude and a delay in the arrival time of the first wave. Under ultra-low temperature conditions, LN₂ can deteriorate the mechanical properties of coal samples, with the degree of deterioration being greater under cyclic freezing-thawing than single freezing. This study can provide theoretical guidance for increasing the permeability of coal seams.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"1 2","pages":"Pages 117-126"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949926724000180/pdfft?md5=f88271eb40a500139896b338d3431b7a&pid=1-s2.0-S2949926724000180-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141413641","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}