Journal of Safety Research最新文献

{"title":"Naturalistic driving study data applied to road infrastructure: A systematic review","authors":"Fletcher J. Howell,&nbsp;Azhaginiyal Arularasu,&nbsp;David B. Logan,&nbsp;Sjaan Koppel","doi":"10.1016/j.jsr.2024.11.022","DOIUrl":"10.1016/j.jsr.2024.11.022","url":null,"abstract":"<div><h3>Introduction:</h3><div>Naturalistic driving studies (NDS) have great potential to characterize the road infrastructure factors influencing everyday driving. A systematic review was undertaken to evaluate the objectives, data processing, and analyses in best-practice applications of NDS data to road infrastructure. <em>Method:</em> Following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, a systematic search of seven databases was conducted on 27 June 2023 (PROSPERO CRD42023434948). Fifty-three English-language, peer-reviewed studies were analyzed on the basis of the primary infrastructure category reflected in the research aims. <em>Results:</em> Studies described curves (14), turns at intersections (8), intersections (6), multi-modal treatments (6), ramps (4), work zones (4), charging (2), and other factors (9). Each study was assessed for the risk of methodological bias using amended National Heart, Lung, and Blood Institute templates for Quality Assurance. 74% of studies were assessed to be of ’Good’ quality, 13% of ‘Fair’ quality, and 13% of ‘Poor’ quality. Road infrastructure was characterized by external video (38%) complemented by non-NDS sources including satellite imagery (21%) and government data (19%). Data preparation was required in 91% of studies to extract meaningful variables (e.g. manual video coding) and/or link multiple datasets. Analysis predominantly determined correlations between aspects of driver behavior (speed, trajectory, etc.) and infrastructure factors (geometry, lane configuration, etc.). Conclusions: The methods employed were broadly applicable, but required considerable subject-specific adaptation for non-NDS datasets and/or time-consuming video coding. The incorporation of road infrastructure factors in NDS research can continue to be improved by reducing the computational cost of sample processing.Practical Applications: Encouraged by the adaptability of the identified methods, NDS research has the potential to benefit from the consideration of road infrastructure factors in a Safe System context. The analytical requirements for all components of the Safe System should be considered when planning future NDS data collections and/or analysis.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"92 ","pages":"Pages 346-374"},"PeriodicalIF":3.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparing the perceptions of ethnic minority construction workers and management staff on the factors affecting safety communications","authors":"Sainan Lyu ,&nbsp;Carol K.H. Hon ,&nbsp;Albert P.C. Chan ,&nbsp;Ran Gao ,&nbsp;Martin Skitmore ,&nbsp;Xin Hu","doi":"10.1016/j.jsr.2024.11.029","DOIUrl":"10.1016/j.jsr.2024.11.029","url":null,"abstract":"<div><div><em>Introduction</em>: Communications is of great importance to the workplace health and safety. This study explores safety communication perceptions of ethnic minority construction workers (EMCWs) and managers to address the vulnerability of EMCWs and overcome communication barriers in ensuring their safety. <em>Method:</em> A questionnaire survey of 134 EMCWs and 95 management staff in the Hong Kong and Australian construction industries is analyzed by the mean score ranking technique, Kendall’s concordance test, Spearman’s rank correlation test, and the Mann-Whitney <em>U</em> test. <em>Results:</em> The main finding is that “Adequacy of language ability of workers” is the most important factor for effective safety communication. EMCWs also prioritize “Personality characteristics of workers” and “Adequacy of workers’ construction experience” for understanding safety information. Management staff emphasize the importance of “Adequacy of time when communicating with workers” and the “Appropriateness of communication style of management” for effective communication. Significant differences exist between EMCWs and management staff, with EMCWs considering 23 out of 36 factors as more important, particularly regarding cultural sensitivity and workers’ understanding of the host country’s culture. <em>Conclusions:</em> A fresh perspective is provided on safety communication factors, revealing significant differences in perceptions between EMCWs and management staff, highlighting communication gaps requiring attention. The prevailing organizational-centric approach is challenged by emphasizing EMCWs’ prioritization of worker-related factors like language ability and personality traits, emphasizing the need to address worker-specific issues. Cultural sensitivity emerges as a significant factor, rated higher by EMCWs, emphasizing the importance of recognizing and addressing cultural differences in communication. A research gap is filled by examining safety communication issues specific to EMCWs, providing insights for interventions and strategies to enhance safety practices and protect their well-being. <em>Practical Applications:</em> The research findings highlight the importance of addressing language barriers, considering personality traits and construction experience, allocating adequate communication time, and promoting cultural sensitivity in safety communication between EMCWs and management staff.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"92 ","pages":"Pages 511-521"},"PeriodicalIF":3.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143454701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical diagnosis groups developed to bridge the ICD-9-CM to ICD-10-CM coding transition and monitor trends in workers’ compensation claims — Ohio, 2011–2018","authors":"Alysha R. Meyers ,&nbsp;Tara N. Schrader ,&nbsp;Edward Krieg ,&nbsp;Steven J. Naber ,&nbsp;Chih-Yu Tseng ,&nbsp;Michael P. Lampl ,&nbsp;Brian Chin ,&nbsp;Steven J. Wurzelbacher","doi":"10.1016/j.jsr.2024.12.007","DOIUrl":"10.1016/j.jsr.2024.12.007","url":null,"abstract":"<div><div><em>Introduction:</em> This study aimed to develop a set of broad clinical diagnosis (ClinDx) groups relevant to occupational safety and health. The ClinDx groups are necessary for analysis and interpretation of longitudinal health data that include injury and disease codes from the Ninth and Tenth Revision of the International Classification of Disease, Clinical Modification (ICD-9-CM, ICD-10-CM). <em>Methods:</em> Claims data were analyzed for Ohio Bureau of Workers’ Compensation insured employers from 2011 to 2018. We used interrupted time series regression models to estimate level (frequency) and slope (trend) changes to the percentage of each ClinDx group in October 2015. We created ClinDx groups aligned with ICD-10-CM structure and coding principles. Each ClinDx group was counted once per claim (distinct groups). Monthly percentages were calculated based on the injury date. When present, seasonality was assessed separately for each outcome using an autoregressive-moving average model. <em>Results:</em> The final set of ClinDx groups included 57 mutually exclusive and exhaustive groups. The study population included 661,684 claims, with 959,322 distinct ClinDx groups. Among all claims, 96.27% included injury code(s) and 11.77% included disease(s) codes. At the transition to ICD-10-CM, 33 ClinDx groups lacked any statistically significant (P &lt; 0.05) changes between periods. We observed level changes for 17 ClinDx groups and slope changes for nine groups. Eight ClinDx groups had ≥ 20% (+/-) level changes. <em>Conclusion:</em> While the transition to ICD-10-CM is a break in series, about two-thirds of disease groups and half of injury groups were relatively stable across the transition. These findings also underscore the need for characterizing both injury and disease outcomes when analyzing workers’ compensation data. <em>Practical Applications:</em> The 57 ClinDx groups created in this study may be a practical starting point for other occupational epidemiologic analyses that include a mixture of ICD-9-CM and ICD-10-CM data.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"92 ","pages":"Pages 408-419"},"PeriodicalIF":3.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100885","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":"Identifying built environment factors influencing driver yielding behavior at unsignalized intersections: A naturalistic open-source dataset collected in Minnesota","authors":"Tianyi Li ,&nbsp;Joshua Klavins ,&nbsp;Te Xu ,&nbsp;Niaz Mahmud Zafri ,&nbsp;Raphael Stern","doi":"10.1016/j.jsr.2024.12.006","DOIUrl":"10.1016/j.jsr.2024.12.006","url":null,"abstract":"<div><div><em>Introduction</em>: Many factors influence the yielding result of driver–pedestrian interactions, including traffic, vehicle, roadway, pedestrian attributes, and more. While researchers have examined the individual influence of these factors on interaction outcomes, there is a noticeable absence of comprehensive, naturalistic studies in current literature, particularly those investigating the impact of the built environment on driver-yielding behavior. <em>Method</em>: To address this gap, our study introduces an extensive open-source dataset, compiled from video data at 18 unsignalized intersections across Minnesota. Documenting more than 3000 interactions, this dataset provides a detailed view of driver–pedestrian interactions and over 50 distinct contextual variables. The data, which covers individual driver–pedestrian interactions and contextual factors, is made publicly available at <span><span>https://hdl.handle.net/11299/254556</span><svg><path></path></svg></span>. Using logistic regression, we developed a classification model that predicts driver yielding based on the identified variables. <em>Results</em>: Our analysis indicates that vehicle speed, the presence of parking lots, proximity to parks or schools, and the width of major road crossings significantly influence driver yielding at unsignalized intersections. <em>Conclusions</em>: Through our findings and by publishing one of the most comprehensive driver–pedestrian datasets in the United States, our study will support communities across Minnesota and the United States in their ongoing efforts to improve road safety for pedestrians and be helpful for automated vehicle design. <em>Practical Applications</em>: We have compiled a dataset on driver–pedestrian interactions at 18 unsignalized intersections in Minnesota, making it one of the most extensive datasets available in the United States. This dataset can be utilized by researchers and local agencies to enhance intersection safety and walkability. Furthermore, our study proposes recommendations for increasing pedestrian safety at intersections, providing valuable insights that local governments can use as guidance for designing future intersections.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"92 ","pages":"Pages 331-345"},"PeriodicalIF":3.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100950","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 predictive equation for maximum acceptable efforts based on duty cycle in repetitive back-involved tasks","authors":"Niromand Jasimi Zindashti ,&nbsp;Karla Beltran Martinez ,&nbsp;Ali Golabchi ,&nbsp;Mahdi Tavakoli ,&nbsp;Hossein Rouhani","doi":"10.1016/j.jsr.2024.12.003","DOIUrl":"10.1016/j.jsr.2024.12.003","url":null,"abstract":"<div><div><em>Introduction:</em> There are many different tasks involved within a workplace, and assessing the required efforts for performing them depends on factors such as the human’s body posture, task nature, and number of repetitions. This study aims to develop an equation for back-involved repetitive tasks that relates the maximum acceptable effort (MAE), the maximum acceptable efforts that an individual can sustain for a specific task and is expressed as a percentage of the maximum strength, to the duty cycle, the amount of time an individual is engaged in a task relative to the total time. The equation was derived based on psychophysical data collected from previous studies on lifting, lowering, and carrying tasks. The literature search identified studies reporting maximum acceptable loads (e.g., forces and toques) for back-involved tasks. <em>Method:</em> Data analysis was done by calculating duty cycles and for each task. Statistical tests were conducted to compare the results across different parameters, such as sex, task nature, lifting box size, box distance from the body, and population percentages. <em>Results:</em> The results showed a strong negative relationship between duty cycle and MAE. This relationship shows that by increasing the duty cycle, MAE should be decreased to be acceptable and prevent worker’s fatigue. The developed equation was compared to existing equations for upper-limb tasks and demonstrated a close resemblance. Additionally, statistical analysis indicated that the proposed equation eliminated the effects of various parameters. The proposed equation provides an individual-specific approach for estimating MAEs and can contribute to preventing workers’ fatigue and injury and reducing their associated costs.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"92 ","pages":"Pages 504-510"},"PeriodicalIF":3.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143454767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sticky interventions for a sticky problem: A systematic review of recent workplace mental health stigma reduction interventions with implications for training transfer","authors":"Tristan William Casey ,&nbsp;Xiaowen Hu ,&nbsp;Clarissa Carden ,&nbsp;Qian Yi Lee","doi":"10.1016/j.jsr.2025.01.003","DOIUrl":"10.1016/j.jsr.2025.01.003","url":null,"abstract":"<div><h3>Introduction</h3><div>Organizations are increasingly turning their attention to managing the stigma associated with mental health conditions. Most interventions tend to be training-based; however, research on mental health stigma reduction has not adopted theories and concepts from health and safety training literature to evaluate how effective these interventions are, and what training design and delivery features result in better training transfer.</div></div><div><h3>Method</h3><div>To fill this gap and develop a strategic agenda for future research, we undertook a systematic qualitative literature review of 27 articles (including both published and unpublished studies), as well as some high-quality grey literature. We applied a health and safety training transfer model and used descriptive and thematic analyses to critically appraise the articles reviewed.</div></div><div><h3>Results</h3><div>Our analysis highlighted how existing studies focus on short-term learning outcomes (i.e., changes in knowledge, skills, and attitudes) without considering the actual experience of the training (i.e., training engagement) and long-term outcomes (i.e., training transfer). Although most reviewed studies considered training design (e.g., trainer credibility) and delivery factors (e.g., online vs. face to face), the consideration of pre-training factors was absent.</div></div><div><h3>Conclusions and Practical Applications</h3><div>Avenues for future research such as exploring ways to boost behavioral change following stigma training, and practical implications to boost transfer of stigma reduction trainings, mapped against the training transfer framework, are also explored.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"92 ","pages":"Pages 448-458"},"PeriodicalIF":3.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the factors behind cellphone-distracted crashes: Assessing injury severity among distracted drivers in states with and without cell phone bans","authors":"Mouyid Islam ,&nbsp;Niloufar Shirani","doi":"10.1016/j.jsr.2024.11.004","DOIUrl":"10.1016/j.jsr.2024.11.004","url":null,"abstract":"<div><div><em>Introduction:</em> Distracted driving, particularly due to cellphone usage, poses a serious threat to road safety by diverting drivers’ attention from the road to activities like calling, talking, and texting. This not only jeopardizes the safety of the drivers themselves but also puts other road users at risk. To address this issue, many states have enacted laws prohibiting cellphone use while driving. This study investigates the impact of such laws on the severity of driver injuries, focusing on a comparison between Connecticut and Florida. <em>Method:</em> The study examines four years of crash data, during which Connecticut banned handheld phone use while driving, while Florida allowed hands-free use and treated handheld phone use as a secondary offense. Using random parameter logit models with heterogeneity in means and variances, the analysis identified differences in risk factors contributing to driver injury severity in both states with and without a cellphone ban. <em>Results:</em> Despite variations in data collection methods and variables across states, the study aligns and compares commonly defined and measured variables from crash incidents. The analysis identified 26 statistically significant variables in both models, with only four variables consistently affecting all levels of driver injury severity. These common risk factors include the involvement of newer vehicles (less than five years old from the crash involvement), incidents involving shoulders, young drivers (under 30 years old), and seat belt usage. <em>Conclusions/Practical Applications:</em> The findings emphasize the importance of modern safety features in newer vehicles, improved roadside design, driver training, and law enforcement measures targeting younger drivers to promote seat belt usage and mitigate distracted driving risks.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"92 ","pages":"Pages 192-206"},"PeriodicalIF":3.9,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142758920","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":"Comparative modeling of risk factors for near-crashes from crowdsourced bicycle airbag helmet data and crashes from conventional police data","authors":"Kuan-Yeh Chou,&nbsp;Mads Paulsen,&nbsp;Anders Fjendbo Jensen,&nbsp;Thomas Kjær Rasmussen,&nbsp;Otto Anker Nielsen","doi":"10.1016/j.jsr.2024.10.003","DOIUrl":"10.1016/j.jsr.2024.10.003","url":null,"abstract":"<div><div><em>Introduction:</em> Conventional cycling crash data is valuable for shaping safe cycling environments but has limitations due to the rarity and under-reporting of cycling crashes. However, recent technological developments can provide information from near-crashes. the subheads should be italic, not bf. Also in the Abstract, there shouldn’t be hard return between subheads, the whole section should all run together, so run up any text between subheads. <em>Method:</em> With Metropolitan Copenhagen as a case, this study uses a very large crowdsourced near-crash dataset from Hövding bicycle airbag helmet users and conventional police crash data to model and identify differences in the infrastructure factors influencing rates of crashes and near-crashes in these datasets. <em>Results:</em> In contrast to existing literature, our results show considerable differences in the factors influencing the frequency of crashes and near-crashes. The risk of crashes increases predominantly at intersections and roundabouts, whereas near-crashes are also associated with infrastructure types shared with pedestrians. <em>Conclusion:</em> When used complementarily, crowdsourced near-crash data can enrich the data foundation and help increase the awareness of near-crash-prone infrastructure types necessary for shaping more comprehensive cycling safety policies. <em>Practical Applications:</em> The findings of the study advocate for a broader perspective on cyclist safety, incorporating currently undisclosed near-crash-prone infrastructure types, such as paths shared by cyclists and pedestrians.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"91 ","pages":"Pages 465-480"},"PeriodicalIF":3.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143075946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Special Report from the CDC: Driving under the influence of alcohol, marijuana, or other illicit drugs among drivers aged ≥16 years — National Survey on Drug Use and Health, 2016–2019","authors":"Amy C. Schumacher ,&nbsp;Lauren A. De Crescenzo ,&nbsp;Merissa A. Yellman ,&nbsp;Erin K. Sauber-Schatz","doi":"10.1016/j.jsr.2024.09.017","DOIUrl":"10.1016/j.jsr.2024.09.017","url":null,"abstract":"<div><div><em>Introduction:</em> This study describes the prevalence of driving under the influence of alcohol (DUIA), marijuana (DUIM), or other illicit drugs (DUID) in the United States over time. <em>Method:</em> This study analyzed data from 2016–2019 National Survey on Drug Use and Health public-use files. The study sample was limited to drivers aged ≥16 years. Prevalence in 2019 and 2016–2019 trends were assessed overall, by sociodemographic characteristics, and by seatbelt use. <em>Results</em>: The 2019 overall prevalence of DUIA, DUIM, and DUID during the past year was 8.3%, 5.3%, and 0.9%, respectively. DUIA, DUIM, and DUID prevalence was highest for drivers who were male (10.6%, 7.0%, and 1.2%, respectively), not heterosexual (12.3%, 14.7%, and 3.5%, respectively), and did not always wear a seatbelt (12.1%, 11.5%, and 3.1%, respectively). DUIA and DUIM were highest among drivers aged 21–25 years; DUID was highest among drivers aged 21–25 or 26–34 years. From 2016 to 2019, overall DUIA decreased slightly, DUIM increased (4.5% to 5.3%), and DUID did not change; trends differed across sociodemographic groups. <em>Conclusions:</em> DUI is a pervasive public health issue. There are ≥10,000 DUIA crash deaths in the United States annually; proven interventions exist to prevent these deaths. Decision makers can save lives and make our roadways safer by implementing proven strategies to reduce DUIA, including lowering the legal blood alcohol concentration (BAC) for driving. Improved data and more research are needed to understand DUIM and DUID burden and determine effective prevention strategies, especially in the context of increasing DUIM. <em>Practical Applications:</em> There were groups for which changes in behavior patterns were found, which could guide prevention efforts. For drivers who did not always wear a seatbelt, DUIA decreased while DUIM increased. A similar pattern was noted for drivers aged 26–34 years; additionally, DUID increased in this group.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"91 ","pages":"Pages 505-515"},"PeriodicalIF":3.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156551","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":"Letter from the editors – Cycling special issue","authors":"Kathleen Porretta,&nbsp;Jonathan Thomas,&nbsp;Ken Kolosh,&nbsp;Sergey Sinelnikov","doi":"10.1016/j.jsr.2024.10.007","DOIUrl":"10.1016/j.jsr.2024.10.007","url":null,"abstract":"","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"91 ","pages":"Pages 516-517"},"PeriodicalIF":3.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156552","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}