Nicholas N Ferenchak, Bruce N Janson, Wesley E Marshall
{"title":"Estimating lives saved and serious injuries reduced by bicycle helmet use in Colorado, 2006-2014.","authors":"Nicholas N Ferenchak, Bruce N Janson, Wesley E Marshall","doi":"10.1080/17457300.2024.2441501","DOIUrl":"10.1080/17457300.2024.2441501","url":null,"abstract":"<p><p>Using the methodology developed by the National Highway Traffic Safety Administration (NHTSA) for motorcyclists, this paper estimates bicycle helmet effectiveness factors (HEFs), defined as the percentage greater chance that a helmeted bicyclist will avoid a fatality or serious injury relative to a non-wearer. We analyse reported motor vehicle-bicycle collisions in Colorado between 2006 and 2014. We conclude that NHTSA's motorcycle HEF methodology did not provide reasonable results given underreporting of low-severity collisions of helmeted bicyclists. The HEF methodology may be applied to bicycles in future research if more complete bicyclist collision reporting can be obtained. To account for underreporting, we calibrated our bicycle HEFs to past research and found that approximately one of every two bicyclists killed may have survived (HEF = 0.50) and one of every three seriously injured bicyclists may have been less seriously injured (HEF = 0.33) if wearing a helmet at the time of the collision.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"40-51"},"PeriodicalIF":2.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142830259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of motorcyclist injury severities in motorcyclist violation crash on suburban roads of China: accommodating temporal instability and the unobserved heterogeneity in means and variances.","authors":"Yuntao Ye, Jie He, Xintong Yan","doi":"10.1080/17457300.2025.2487649","DOIUrl":"10.1080/17457300.2025.2487649","url":null,"abstract":"<p><p>This study analysed motorcyclist violation (MV) crashes on suburban roads of China to investigate how determinants affect MV crash injury severity and explore the temporal stability of determinants. Crash data from Xi'an, China (2015-2018) were utilized to investigate three MV crash injury categories: no injury, minor injury and severe injury. Motorcyclist-related, crash-related, roadway-related, environment-related and time-related characteristics were analysed utilizing a group of random parameters multinomial logit models with heterogeneity in means and variances. The temporal instability was measured by performing likelihood ratio tests. Marginal effects were calculated to further illustrate the temporal variations of these factors. The study found an overall temporal instability, with some violations like alcohol-impaired riding, speeding, and unlicensed riding having significant effects on MV crash injury severity. Additionally, the study revealed a significant risk compensation mechanism of riders under adverse riding conditions. The findings provided insights and recommendations for suburban motorcycle crash prevention strategies.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"145-159"},"PeriodicalIF":2.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143781642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Renew global partnerships for addressing the risk to vulnerable road users and strengthening research institutions.","authors":"Geetam Tiwari","doi":"10.1080/17457300.2025.2494915","DOIUrl":"https://doi.org/10.1080/17457300.2025.2494915","url":null,"abstract":"","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":"32 1","pages":"1-2"},"PeriodicalIF":2.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143988007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ali Tavakoli Kashani, Parsa Soleyman Farahani, Hamzeh Mansouri Kargar
{"title":"Stacking models for analyzing traffic injury severity on two-lane, two-way rural roads.","authors":"Ali Tavakoli Kashani, Parsa Soleyman Farahani, Hamzeh Mansouri Kargar","doi":"10.1080/17457300.2025.2487635","DOIUrl":"10.1080/17457300.2025.2487635","url":null,"abstract":"<p><p>The analysis of injury severity in accidents allows traffic management agencies to assess crash risk more effectively and develop cost-effective interventions. The aim of this research is to present a two-layer stacking model as a means of forecasting accident severity. In the initial layer, the system incorporates benefits derived from many base classification algorithms through a three-stage process to evaluate the outcomes of each model configuration. These base algorithms include Random Forests, Decision Tree, K Nearest Neighborhood and Support Vector Machine; in the second layer, Logistic Regression and Random Forest algorithms are used to classify crash injury severity. In total, 24,141 traffic accidents were recorded on 135 two-way, two-lane roads. The process of model calibration entails the optimization of several parameters, such as the number of trees in three fundamental methods of classification, the learning rate and the regularization coefficient which is achieved by the utilization of a systematic grid search strategy. To validate the model, the Stacking model's performance is assessed in comparison to other conventional models. The results indicate that the Stacking model has greater performance. Consequently, each component included in the prediction of severity is categorized into distinct groups according to its impact on results.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"118-129"},"PeriodicalIF":2.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143796729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assessing the interdependence of rider fault-status and injury severity in motorcycle rear-end crashes: insights from bivariate probit and XGBoost-SHAP models.","authors":"Chamroeun Se, Thanapong Champahom, Kestsirin Theerathitichaipa, Manlika Seefong, Sajjakaj Jomnonkwao, Vatanavongs Ratanavaraha, Tassana Boonyoo, Ampol Karoonsoontawong","doi":"10.1080/17457300.2025.2485032","DOIUrl":"10.1080/17457300.2025.2485032","url":null,"abstract":"<p><p>This study examines the interdependent relationship between fault status and injury severity in motorcycle rear-end crashes in Thailand using data from 1,549 crashes (2011-2015) integrated from the Department of Highway's Accident Information Management System and Traffic Information Movement System. This article employs a bivariate probit model alongside various boosting techniques for simultaneous estimation of injury severity and at-fault status. Among the tested models (AdaBoost, CatBoost and LightGBM), both the bivariate probit and XGBoost-Endogenous models demonstrate superior performance in accuracy and F1-score. The bivariate probit model reveals that injury severity is significantly influenced by rider characteristics (age, gender), road features, and traffic conditions. Riders under 55 years old, female riders and those on roads with depressed medians or higher traffic volume show lower injury severity risk. Conversely, drunk riding, nighttime crashes on unlit roads, and higher truck traffic percentages increase severe injury likelihood. The XGBoost model corroborates these findings, identifying traffic volume, truck percentage and nighttime conditions on unlit roads as the most crucial predictors of injury severity. Regarding fault status, younger riders and those using safety equipment show a higher probability of being at-fault. This novel analytical approach provides valuable insights for motorcycle safety policy development and future research directions.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"61-75"},"PeriodicalIF":2.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143754966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pattern of road traffic fatalities in India: a case study of Chhattisgarh State.","authors":"Arunabha Banerjee, Geetam Tiwari, Asha S Viswanathan, Rahul Goel, Kavi Bhalla","doi":"10.1080/17457300.2025.2486625","DOIUrl":"10.1080/17457300.2025.2486625","url":null,"abstract":"<p><p>India does not have a national crash-level surveillance system. Instead, police stations report crashes in standardized tables that are summarized at the state level. Since tabulations provide limited insights into crash patterns, we developed a crash database from police First Information Reports (FIRs) on all (<i>n</i> = 11,175) fatalities in Chhattisgarh during 2017-2019. The data show that not only were motorcycle riders the most common victims (59% of fatalities), but they also posed a substantial threat to other road users. Motorcycle impacts caused 16% of all fatalities (37% of pedestrians). Although truck occupants comprised only 5% of fatalities, trucks were the most common striking vehicle. Remarkably, 94% of tractor occupants were killed in single-vehicle crashes, and more than were rollovers. The FIR database provides a richer description of crashes than tabulations and an important information source for safety management. India and other LMICs will benefit substantially by investing in crash surveillance systems.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"101-107"},"PeriodicalIF":2.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12040571/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143774665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Charles Atombo, Raymond Akuh, Richard Fiifi Turkson, Franklin Liggie-Kudonoo
{"title":"Examining fatal and non-fatal injuries of drivers in single-vehicle-involved crashes on urban roadways using random parameter logit model.","authors":"Charles Atombo, Raymond Akuh, Richard Fiifi Turkson, Franklin Liggie-Kudonoo","doi":"10.1080/17457300.2025.2487637","DOIUrl":"10.1080/17457300.2025.2487637","url":null,"abstract":"<p><p>Urban areas significantly impact crash injury severity due to high traffic density and complex road patterns. This study analysed factors influencing fatal and non-fatal injuries in single-vehicle crashes on urban roads in Ghana from 2017 to 2020, using data from the Driver and Vehicle Licensing Authority (DVLA). The Random Parameter Logit Model revealed that younger drivers (under 20) are at higher risk for both fatal and non-fatal injuries. Crashes involving saloon cars, pickups, and minibuses had higher injury risks. Severe frontal damage increases the likelihood of both non-fatal and fatal injuries. Newer vehicles (under 5 years) showed lower injury risks. Crashes at controlled intersections and daytime crashes were less likely to result in fatal injuries. Failure to yield the right of way and mechanical failures were significant contributors to injury severity. The study highlights the need for targeted road safety interventions.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"130-144"},"PeriodicalIF":2.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143804357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ibtissam El Khalai, Zoubida Chorfi, Abdelaziz Berrado
{"title":"An adapted taxonomy and framework for monitoring road safety strategies: a case study of Morocco.","authors":"Ibtissam El Khalai, Zoubida Chorfi, Abdelaziz Berrado","doi":"10.1080/17457300.2024.2409645","DOIUrl":"10.1080/17457300.2024.2409645","url":null,"abstract":"<p><p>Traditional approaches to monitoring road safety have primarily focused on measuring outcomes such as the number of fatalities and injuries. While effective in capturing overall trends, this macroscopic approach often overlooks the underlying causes of unsafe conditions. Recognizing these limitations, many countries now embrace a safe system-based approach, which emphasizes a holistic view of road safety, considering various elements and their interactions. In response to this shift, this study introduces a five-step framework designed to provide comprehensive coverage and tailored assistance in selecting and utilizing appropriate Road Safety Indicators (RSIs) for more effective performance monitoring. The framework integrates a novel RSIs taxonomy aligned with critical elements of the safe system. It also incorporates an MCDA-based approach to account for decision-makers' preferences when selecting suitable RSIs. A case study demonstrates the practical application of the proposed steps, including the identification, classification, selection, and development of descriptive sheets for each selected RSI, as well as the continuous updating of the RSIs set. The findings offered valuable insights into the commonly used indicators in international road safety reports, while also revealing the limitations of currents metrics and data in fully capturing critical elements and hierarchical level within the road safety management system.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"686-703"},"PeriodicalIF":2.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142336842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lucas W Ashley, Arden J Vessie, Taylor B Stamey, Kent F Sutton
{"title":"Advancing youth transportation safety in North Carolina through addressing alcohol-related motor vehicle collisions.","authors":"Lucas W Ashley, Arden J Vessie, Taylor B Stamey, Kent F Sutton","doi":"10.1080/17457300.2024.2377083","DOIUrl":"10.1080/17457300.2024.2377083","url":null,"abstract":"<p><p>The aim of this work is to analyze trends in youth transportation fatalities and injuries in North Carolina (NC), assess the implementation of ignition interlock devices (IIDs) in the United States and abroad, discuss policy implications for IIDs, and highlight health equity considerations related to motor vehicle collisions (MVCs). MVCs cause the highest number of unintentional injury-related deaths for children and teenagers in NC, and policymakers should pay special attention to MVCs related to alcohol consumption. IIDs are effective in reducing collision rates and recidivism for driving under the influence of alcohol (DUI). Ignition interlock device requirements have been increasingly implemented globally over the past three decades. However, the adoption of stricter IID policies after first-time DUI offenses in NC and across the U.S. is a prudent public health measure to enhance transportation safety for both adults and children. Evidence-based interventions such as IIDs must also strive to address inequities in transportation safety, and the framing of proposed policies should reflect the tenets of cultural humility.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"553-555"},"PeriodicalIF":2.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141564812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cycle fatalities in Delhi and their risk factors.","authors":"Srishti Agrawal, Sumit Bilam, Geetam Tiwari, Rahul Goel","doi":"10.1080/17457300.2024.2389527","DOIUrl":"10.1080/17457300.2024.2389527","url":null,"abstract":"<p><p>There is a lack of research that investigates the risk factors of cycling in low- and middle-income countries. We present descriptive epidemiology of crashes that involved at least one fatal cyclist, over a three-year period (2016-2018) in Delhi, India. Next, we used an unmatched case-control approach to identify road design risk factors of cycle fatalities. Cases were road segments with at least one cycle fatality, and controls were those with none. We developed logistic regression models with cases and controls as binary outcomes to estimate the odds ratio of site characteristics. There were 167 crashes involving at least one cyclist fatality over the study period. Fatal cyclists were almost all males. They were less likely to be children or young adults and less likely to be residents of high-income localities, compared to the general population. One in ten crashes included more than one occupant on a cycle and 5% of fatal victims were pillion riders. Seventy percent crashes occurred at midblock, and majority were backend collisions. Regression shows that road width, traffic speed, and volume of heavy vehicles have strong positive effects on the fatality risk of cyclists. These results can inform strategies to design interventions for safety of cyclists.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"579-590"},"PeriodicalIF":2.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141917730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}