Journal of Safety Research最新文献

{"title":"The impact of COVID-19 pandemic on bus crash severity","authors":"Saba Doulabi,&nbsp;Benjamin Meysohn,&nbsp;Miles Crumley","doi":"10.1016/j.jsr.2025.06.003","DOIUrl":"10.1016/j.jsr.2025.06.003","url":null,"abstract":"<div><div>Recent research highlights significant shifts in travel patterns, traffic volumes, and safety measures due to the COVID-19 pandemic. Early findings suggest a nationwide decrease in crashes (22.0%) and injuries (16.7%) in 2020 compared to 2019 in the United States, but a concurrent increase in fatalities (6.8%) and severe injuries. The fatality rate persisted in 2021, with more than 10.5% increase from 2020 to 2021. Most collision research conducted after COVID-19 has focused on crashes involving private vehicles, leaving transit-related crashes less understood. <em>Method:</em> To fill this gap, an analysis was conducted on a sample of bus collisions in Portland, Oregon using crash data from 2018 to 2023. The aim of the study was to identify contributing risk factors to bus crashes before and after the COVID-19 lockdown’s initiation. An in-depth analysis was conducted on a wide range of data including: injury extent, human factors, road network characteristics, driving maneuver, weather, location, traffic control devices, time of day, and other variables. Factor Analysis and Structural Equation Modeling were used to extract key features and significant patterns. <em>Results:</em> The study identified three main risk factors related to crash severity: “Human Factors,” “Road Network Conditions,” and “Vehicle Movement and Impact Type.” Human factors involving bus operators did not show a significant correlation with crash severity, thus further research is required to encompass all parties involved in crashes. Two other factors (i.e., “road network conditions” and “vehicle movement and impact type”) align with existing literature, emphasizing the need to develop targeted mitigation strategies and safety measures tailored to specific locations and characteristics. <em>Conclusions and practical applications:</em> This study shows the impact of the COVID-19 pandemic on bus crash frequency, rates, and severity, shedding light on the relationship between social disruptions and crashes within transit bus systems.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"94 ","pages":"Pages 110-119"},"PeriodicalIF":3.9,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What drives road rage? A systematic review on the psychological correlates of aggressive driving behavior","authors":"Steven Love,&nbsp;Michelle Nicolls","doi":"10.1016/j.jsr.2025.06.014","DOIUrl":"10.1016/j.jsr.2025.06.014","url":null,"abstract":"<div><div><em>Introduction</em>: Despite decades of research and intervention, <em>aggressive driving behavior</em> (ADB) remains a prevalent risk on our roads. This study aimed to systematically review how drivers’ personality traits, perceptual tendencies, self-regulatory capacity, and psychological functioning, have been linked to the engagement of ADBs. <em>Method:</em> Under guidance of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, a literature search was performed in four databases, followed by a manual search in Google Scholar. Original research studies were eligible for the review if they used general driver samples, included self-reported variables relating to both an ADB and a relevant psychological factor, and implemented bivariate correlational analyses. Following an in-depth screening process on a total of 2,869 unique publications, 148 articles met the criteria for review. <em>Results:</em> The review identified a number of psychological correlates that exhibited consistent relationships with instrumental and hostile ADBs. Most notably, antisocial personality traits (e.g., the dark triad), problematic attitudes towards ADBs and others, self-regulatory deficits (e.g., emotion dysregulation), and psychological dysfunction (e.g., maladaptive cognitive-emotional processes) were conducive to engagement in ADBs. In contrast, adaptive personality traits (e.g., altruism), unfavorable attitudes towards ADBs, self-regulatory ability (e.g., emotional intelligence), and psychological functioning (e.g., wellbeing) were negatively associated with ADBs. However, a major limitation of the reviewed literature was the lack of standardization for the definition and measurement of specific ADBs. <em>Practical Applications:</em> It was suggested that future research could focus on developing a consensus for the conceptualization of ADB and adopt more comprehensive approaches to ADB that consider underlying interactions between the psychological correlates of the behaviors.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"94 ","pages":"Pages 92-109"},"PeriodicalIF":3.9,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Systematic review of pedestrian safety at roundabouts","authors":"Erdem Doğan","doi":"10.1016/j.jsr.2025.06.005","DOIUrl":"10.1016/j.jsr.2025.06.005","url":null,"abstract":"<div><div><em>Introduction:</em> Roundabouts are increasingly being used to improve traffic flow and reduce conflict points compared to traditional intersections. While previous studies have generally shown that roundabouts reduce vehicle collisions and improve traffic conditions, their impact on pedestrian safety, particularly in urban areas with high pedestrian traffic, has not been adequately studied. Despite the potential of roundabouts to reduce the overall severity of collisions, recent studies also point to specific safety challenges for pedestrians, including the difficulties faced by slow-moving people, changes in pedestrian behavior when avoiding roundabouts, and problems with disabled pedestrians are faced with. This systematic review fills this gap by evaluating existing research on pedestrian safety at roundabouts and distinguishing it from other review studies. Additionally, this review focuses on examining roundabouts and their impacts on pedestrian safety, synthesizing the literature, and identifying key findings. <em>Method:</em> Four research questions were developed, covering pedestrian behavior, personal traits, traffic volume and speed, geometric and design elements, and pedestrian safety assessment techniques. The research questions and the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) method were used to choose and thoroughly examine 51 studies. In addition, it is intended to support the correct selection of measures to improve pedestrian safety at roundabouts and provide researchers with a reference for safety modeling. <em>Practical Applications:</em> Roundabouts with higher pedestrian safety standards can be planned with the help of this systematic review, which also helps to clarify the factors influencing pedestrian safety at roundabouts. When creating safe and sustainable transportation infrastructure, decision-makers and urban planners can use these findings as a guide.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"94 ","pages":"Pages 70-80"},"PeriodicalIF":3.9,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing driving safety with customized music: A simulator study using entropy weight and Bayesian Networks","authors":"Liangkai Kang ,&nbsp;Said M. Easa ,&nbsp;Xinyi Zheng","doi":"10.1016/j.jsr.2025.06.012","DOIUrl":"10.1016/j.jsr.2025.06.012","url":null,"abstract":"<div><div><em>Introduction</em>: Listening to music while driving is a common practice. Extensive research has explored its effects on driving performance, with a growing consensus suggesting that the optimal complexity of music varies depending on different driving scenarios to maintain drivers’ arousal levels. However, these optimal levels can vary significantly among individuals. This study investigates how drivers with different characteristics respond to sudden events under various musical conditions. <em>Methods:</em> We integrated eight driving-related ability traits into a comprehensive construct titled “driving characteristics.” Twenty-eight drivers were categorized into three groups (qualified, good, and excellent) and completed driving tasks under various musical conditions defined by tempo (fast/slow) and lyrics (with/without). Driving performance was assessed using multiple indicators and synthesized into a composite score using the Entropy Weight Method. Bayesian Networks were utilized to analyze collision probabilities and identify critical influencing factors. <em>Results:</em> Significant main effects were found for both lyrics (<em>p</em> = 0.01) and driving characteristics (<em>p</em> &lt; 0.01). Music without lyrics (0.73 ± 0.02) demonstrated superior performance compared to music with lyrics (0.68 ± 0.02). The excellent group (0.79 ± 0.03) significantly outperformed both the good (0.66 ± 0.02) and qualified (0.66 ± 0.02) groups. An interaction effect showed that slow-tempo music outperformed fast-tempo music when lyrics were present. Bayesian Networks indicated that the impact of music on overspeed and collision probabilities varied based on driving characteristics. <em>Conclusions:</em> While drivers with superior driving characteristics can better manage complex music, individual differences in driving strategies can lead to performance variability even within the same characteristic group. Drivers should prioritize safe driving and adapt their music choices to align with their capabilities. <em>Practical Applications:</em> These findings may help vehicle manufacturers and music platforms enhance safety and performance by recommending personalized music and improve drivers’ responses to sudden incidents.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"94 ","pages":"Pages 81-91"},"PeriodicalIF":3.9,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial heterogeneity in the impacts of Ohio’s enhanced graduated driver’s licensing law on teen motor vehicle crashes","authors":"Marco H. Benedetti ,&nbsp;David Kline ,&nbsp;Yuhan Pan ,&nbsp;Alexander Evans ,&nbsp;Maggie Sarle ,&nbsp;Kayleigh Humphries ,&nbsp;Motao Zhu","doi":"10.1016/j.jsr.2025.06.009","DOIUrl":"10.1016/j.jsr.2025.06.009","url":null,"abstract":"<div><div><em>Background:</em> Graduated Driver’s Licensing (GDL) policies create an intermediate licensure phase for young novice drivers, and previous studies suggested that they reduce teen motor- vehicle crashes (MVCs). Multiple studies have shown that the effects of GDL laws vary in association with demographic factors and location, motivating estimation of sub-state policy effects. The present study estimates county-level effects of Ohio’s 2007 enhanced GDL law on MVCs among 16–17-year-olds. <em>Methods:</em> We analyzed the rates of non-rear-struck MVCs per licensed driver for 16–17-year-old drivers, who were targeted by the law, and 30–34-year-old drivers, who acted as a control group. Our primary analysis consisted of a spatio-temporal Bayesian disease mapping model that allowed parameters to vary by county while also capturing spatial dependence in the data and policy effects. We performed a series of post-hoc analyses to explore the policy effects associated with county-level factors like population, rurality, and annual vehicle miles traveled. <em>Results:</em> Both age groups experienced reductions in MVC rates after Ohio’s enhanced GDL law was enacted. However, the reductions were more extreme among 16–17-year-olds. The pre- to post-law MVC rate ratio was 18% more extreme (ratio of MVC rate ratios 0.82; 95% CI 0.81, 0.83) for 16–17-year-olds than it was for 30–34-year-olds. Furthermore, while we found some cursory evidence that the policy effect varied by county, Ohio’s enhanced GDL law was associated with reductions in MVC rates in all 88 counties. <em>Conclusions:</em> Our study suggests that Ohio’s enhanced GDL law was associated with reductions in MVC crash rate among 16–17-year-old drivers relative to 30–34-year-olds. <em>Practical Applications:</em> Our results support that Ohio’s enhanced GDL law was effective not only statewide, but also within each of Ohio’s 88 counties.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"94 ","pages":"Pages 48-58"},"PeriodicalIF":3.9,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144270088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the impact of green building features on the occupational safety and health of construction workers","authors":"Tolulope Adesoji ,&nbsp;Annie Pearce ,&nbsp;Brian Kleiner ,&nbsp;Sean McGinnis","doi":"10.1016/j.jsr.2025.06.008","DOIUrl":"10.1016/j.jsr.2025.06.008","url":null,"abstract":"<div><div><em>Introduction:</em> The construction industry is known to be among the most dangerous, given the rate of incidents and hazards to workers. However, with the shift from conventional to sustainable construction, green building features introduce new concerns for on-site hazards that put workers at higher risk. <em>Method:</em> This study conducted a review of existing literature to identify green building features associated with hazards or otherwise having health and safety implications for the construction industry. In addition to the literature review, this study also employed a review of construction fatality reports from the U.S. Occupational Safety and Health Administration (OSHA) and the U.S. National Institute for Occupational Safety and Health (NIOSH). This analysis focused on identifying instances where features associated with green building in the literature were implied to have caused incidents as reported in the fatality reports, using content analysis as the primary methodological approach. This meticulous method allowed for systematic examination of data, revealing patterns and connections between specific green building features and occupational safety. <em>Results:</em> The findings of this study contribute to the understanding of safety considerations within green building projects. The study identifies hazards that may pose risk in these projects by bridging the gap between theoretical knowledge and empirical evidence. It highlights safety protocols for construction stakeholders to prioritize while implementing on-site green building features. <em>Practical Applications:</em> This understanding can inform construction practices and safety guidelines to foster safer working environments in the context of sustainable construction within the construction industry.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"94 ","pages":"Pages 59-69"},"PeriodicalIF":3.9,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144270094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A dual-process model to explain the influence of decision-making failure on workers’ unsafe behavior: Conscientiousness and consideration of future consequences as moderators","authors":"Qingting Xiang ,&nbsp;Yang Liu ,&nbsp;Gui Ye ,&nbsp;Yang Miang Goh ,&nbsp;Weiyi Cong ,&nbsp;Haobin Yang","doi":"10.1016/j.jsr.2025.06.010","DOIUrl":"10.1016/j.jsr.2025.06.010","url":null,"abstract":"<div><h3>Introduction</h3><div>Decision-making failure is a critical factor influencing workers’ unsafe behavior. While previous research has predominantly concentrated on rational decision-making failures, it has largely ignored the impact of irrational decision-making failures and the mechanisms through which these failures contribute to unsafe behaviors. This oversight limits our understanding of how unsafe behavior develops. Utilizing dual-process theory and the prototype willingness model, this study distinguishes between two types of decision-making failures: unsafe behavioral intention (reflecting rational decision-making failure) and unsafe behavioral willingness (reflecting irrational decision-making failure). We examined how these failures influence workers’ unsafe behavior and explored the moderating effects of conscientiousness and consideration of future consequences on these relationships.</div></div><div><h3>Method</h3><div>Data were gathered from 446 construction workers through a questionnaire survey. Structural equation modeling and hierarchical regression analysis were used to test the hypotheses.</div></div><div><h3>Results</h3><div>The results revealed that: (1) both unsafe behavioral intention and unsafe behavioral willingness significantly and positively affected workers’ unsafe behavior; (2) unsafe behavioral intention mediated the relationship between unsafe behavioral willingness and unsafe behavior; (3) conscientiousness negatively moderated the link between unsafe behavioral intention and unsafe behavior; and (4) the moderating effect of consideration of future consequences on the relationship between unsafe behavioral willingness and unsafe behavior was not supported.</div></div><div><h3>Practical Applications</h3><div>This study provides a comprehensive perspective on the relationship between decision-making failures and unsafe behavior, elucidates the underlying mechanisms, and offers targeted strategies for managing unsafe behaviors.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"94 ","pages":"Pages 35-47"},"PeriodicalIF":3.9,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144263645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validating traffic simulation for crash risk assessment using field crash data","authors":"Maria G. Oikonomou,&nbsp;George Yannis","doi":"10.1016/j.jsr.2025.06.002","DOIUrl":"10.1016/j.jsr.2025.06.002","url":null,"abstract":"<div><h3>Introduction</h3><div>Assessing safety using traffic simulation is becoming increasingly feasible with advancements in methodological frameworks and tools, emphasizing the critical importance of accuracy and reliability. This study aims to bridge the gap between simulation models and real-world safety observations, contributing to the advancement of more robust safety assessment methodologies. It presents a comprehensive comparative analysis of traffic safety metrics derived from both simulated and real-world data, employing clustering technique to identify safety patterns.</div></div><div><h3>Method</h3><div>Using Aimsun Next, simulation data were analyzed in the Surrogate Safety Assessment Model (SSAM) to extract traffic conflicts, which were then converted into crash risk levels. Real-world crash data from the Hellenic Statistical Authority (ELSTAT) encompassed various crash types involving at least one slightly injured individual between 2017 and 2019. Specifically, observational data encompassed speed limits, road lengths, injuries, vehicles involved, and crash counts, while simulation metrics included flow, capacity, and crash risk.</div></div><div><h3>Results</h3><div>The analysis of simulation and observational data revealed two distinct clusters: roads with low and high crash risks, clearly distinguished with minimal overlap. Comparison of clustering results demonstrated approximately 87.7% accuracy in predicting road crash risk classifications through traffic simulation, confirming its reliability for safety assessment. The study also highlights the importance of thorough calibration; roads inaccurately predicted lacked sufficient traffic data, underscoring the need for robust calibration to enhance safety assessment.</div></div><div><h3>Conclusions and practical applications</h3><div>This study validates a framework ready for future research applications in scenarios where direct observation is impractical, enhancing road safety and guiding interventions within evolving traffic conditions and technologies.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"94 ","pages":"Pages 24-34"},"PeriodicalIF":3.9,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144263715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gender disparities in the severity of car accidents: Empirical evidence for Spain","authors":"Javier Moreno González ,&nbsp;José M. Labeaga","doi":"10.1016/j.jsr.2025.06.007","DOIUrl":"10.1016/j.jsr.2025.06.007","url":null,"abstract":"<div><div><em>Introduction:</em> In this paper, we examine the relationship between sex and injury severity in car accidents in Spain from 2014 to 2021 using discrete choice models. <em>Method:</em> We differentiate between no injuries, minor injuries, severe injuries, and fatalities, finding significant gender differences. These results hold even after controlling for vehicle dimensions. We extend the model to account for physical and biological factors, isolating their effects and highlighting gender disparities. <em>Practical Applications:</em> This study, the first of its kind in Spain, demonstrates the importance of considering gender differences in automobile safety and accident outcomes.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"94 ","pages":"Pages 1-23"},"PeriodicalIF":3.9,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144255506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing a Readiness to Drive Scale to measure parent perceptions of teenager driving skills","authors":"Rebecca A.T. Weast,&nbsp;Samuel S. Monfort,&nbsp;Theresa J. Chirles,&nbsp;Johnathon P. Ehsani","doi":"10.1016/j.jsr.2025.03.010","DOIUrl":"10.1016/j.jsr.2025.03.010","url":null,"abstract":"<div><h3>Background</h3><div>Although teen crash fatalities have fallen markedly in the last decades, the newest drivers still experience elevated crash risk. Parents and guardians play an integral role in their teenagers’ early driving experiences, and having a tool to examine and assess their attitudes about their teen driver’s skills can enhance the work of parents/guardians and researchers alike.</div></div><div><h3>Method</h3><div>The current analysis examines the <em>Readiness to Drive Scale</em>, a survey instrument assembled by researchers at the University of North Carolina’s Center for the Study of Young Drivers. The analyses examine the underlying factor structure of the instrument’s items and assess face, convergent, and predictive validity.</div></div><div><h3>Results</h3><div><em>Readiness to Drive</em> scores increased over time. The PCA supports the aggregation of the <em>Readiness to Drive Scale</em> into a single component. The survival analysis indicated the likelihood of having obtained a license at a given measurement point was significantly related to the Readiness score at the previous measurement point, as well as the number of hours driven between the two measurement points. Likelihood of licensure was related to higher readiness scores and more hours driven. Finally, higher Readiness scores were related to fewer restrictions on teenagers’ early independent driving.</div></div><div><h3>Discussion</h3><div>The <em>Readiness to Drive Scale</em> is a useful and valid measure of parent perceptions of their teen’s abilities across a range of situations. These analyses demonstrate a link between parent perceptions and their management of their teen’s early driving. This tool is useful for researchers, parents, and educators.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"93 ","pages":"Pages 399-404"},"PeriodicalIF":3.9,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144099595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}