Traffic Injury Prevention最新文献

{"title":"Is there a difference in crash self-reports between electric and conventional motorcycles in Vietnam?","authors":"Minh Hieu Nguyen, Duy Quy Nguyen-Phuoc, Dorina Pojani, Oscar Oviedo-Trespalacios, Thanh Chuong Nguyen, Thanh Tung Ha, Cao Y Nguyen, Thanh Tu Nguyen, Minh Ngoc An","doi":"10.1080/15389588.2025.2453629","DOIUrl":"https://doi.org/10.1080/15389588.2025.2453629","url":null,"abstract":"<p><strong>Objectives: </strong>Understanding the risks associated with electric motorcycles (EMs) is essential for developing effective mobility and safety strategies in an era of increasing motorcycle use and the shift toward electric vehicles. In this research, we investigate the prevalence of crashes among EM and conventional motorcycle (CM) users, as well as factors contributing to the crashes.</p><p><strong>Methods: </strong>This study uses primary survey data from 972 motorcyclists (481 EM and 491 CM riders) collected in December 2023 in Hanoi, Vietnam. It compares the frequency of risky riding behaviors and crash types between the 2 groups. Additionally, 2 binary logit regression models are applied to identify factors associated with crashes in the past 12 months for EM and CM riders.</p><p><strong>Results: </strong>The results suggest that the prevalence of respondents who did not experience crashes (56.1%), minor crashes (68.8%), serious crashes with injury (80.9%), and hospitalization (91.1%) for EM riders was significantly higher than that for CM users. CM riders tend to engage in many risky riding behaviors more frequently than EM riders. Higher frequencies of speeding, smoking, and neglecting turn signals were related to greater crash risk in both groups. Red light running was a particular risk factor of crash prevalence for EMs only. Older EM users were more likely to experience a crash, and CM users traveling longer and living in urban districts were found to be linked to higher crash prevalence.</p><p><strong>Conclusions: </strong>Transitioning from CMs to EMs in Vietnam may offer some safety benefits, such as cautious behavior by EM riders and lower speeds, but there are no major differences in crash prevalence between the groups. Risky behaviors like speeding, smoking, and neglecting turn signals increase crash risks for both; red light running is a particular concern for EM riders and longer travel distances and urban residency for CM users. Targeted interventions, proper training, and licensing are essential, with attention to older EM riders' vulnerabilities and the risks faced by CM users in urban areas and on long trips.</p>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-9"},"PeriodicalIF":1.6,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143558871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"NASS-CDS national estimates of fatalities do not match FARS census.","authors":"David C Viano","doi":"10.1080/15389588.2025.2451575","DOIUrl":"https://doi.org/10.1080/15389588.2025.2451575","url":null,"abstract":"","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-4"},"PeriodicalIF":1.6,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143558872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 bicycle helmet protection for head and neck in E-scooter falls.","authors":"Nicolas Bailly, Andreas Schäuble, Marianne Guesneau, Wei Wei, Yvan Petit","doi":"10.1080/15389588.2025.2462685","DOIUrl":"https://doi.org/10.1080/15389588.2025.2462685","url":null,"abstract":"<p><strong>Objectives: </strong>The rapid increase in E-scooter usage has led to more scooter-related head and neck injuries. Yet, experimental data on head impacts and helmet effectiveness during crashes are scarce. The objectives of this study are to experimentally evaluate bicycle helmets in E-scooter falls, assessing head kinematics, impact conditions, and injury risks in two crash scenarios with and without helmets.</p><p><strong>Methods: </strong>Six E-scooter forward falls, induced by a curb collision at 20 km/h, were simulated in sled tests using a Hybrid III 50th anthropomorphic test device with and without a helmet. The curb was positioned either perpendicularly or at a 55° angle to the E-scooter's trajectory. Head velocity, head acceleration, neck load, chest acceleration, and chest deflection were measured.</p><p><strong>Results: </strong>The average normal and tangential head velocities at impact were 5.9 m/s and 3.7 m/s, respectively. In configurations without helmet, both head accelerations and neck loads exceeded some injury thresholds, indicating a risk of severe injury. Using a helmet significantly reduced peak head linear (143 g vs. 571 g) and rotational (9.8 krad/s² vs. 23.1 krad/s²) accelerations, and Head Injury Criterion (HIC) (792 vs. 5868). However, it did not significantly affect peak head rotational velocity (44.5 rad/s vs. 41.5 rad/s), neck load (in flexion-compression) nor Neck Injury Criterion (NIJ) (1.2 vs. 1.0).</p><p><strong>Conclusion: </strong>The bicycle helmet significantly reduced most head injury metrics. Yet, the risk of severe head and neck injuries remains high. These results offer valuable data for evaluating head protection and developing and validating numerical crash test reconstructions for further investigations.</p>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-8"},"PeriodicalIF":1.6,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143494714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Drug use among individuals injured in non-fatal motor vehicle crashes and related policies in 2023.","authors":"Nae Y Won, Kelly K Gurka, Catherine W Striley, Sara Jo Nixon, Linda B Cottler","doi":"10.1080/15389588.2025.2456952","DOIUrl":"10.1080/15389588.2025.2456952","url":null,"abstract":"<p><strong>Objective: </strong>Although driving-related policies aimed at mitigating drug-related motor vehicle crashes (MVCs) have been implemented in diverse communities, data regarding their effectiveness are largely absent. A comprehensive evaluation of these policies is necessary. Furthermore, as US states legalize the recreational use of cannabis, the impact of these policies on drug-related crashes also needs to be evaluated. The objective was to assess the association between drug use prevalence among individuals (age 16+) injured in non-fatal MVCs in 2023 and various related policies, including drug-impaired driving policies, sobriety checkpoints, enforcement programs, and state cannabis legalization status.</p><p><strong>Methods: </strong>We analyzed 2023 emergency medical services (EMS) records of individuals (age 16+) injured in non-fatal MVCs across 19  US states where EMS personnel indicated drug use, excluding duplicate, incomplete, and alcohol-only records. Using these counts, we calculated the prevalence of drug use among individuals (age 16+) injured in non-fatal MVCs in each state. The association between drug use prevalence and state-level policies, including drug-impaired driving laws (i.e., per se or zero tolerance), sobriety checkpoints, enforcement programs, and cannabis legalization laws, was evaluated using adjusted Poisson regression with random effects for state differences. Policies were assessed individually and in a full model to evaluate their individual and additive effects.</p><p><strong>Results: </strong>In 2023, 11,538 individuals (68.2% male) were injured in drug-related non-fatal crashes. Neither drug-impaired driving policies, the use of sobriety checkpoints, nor the implementation of State Judicial Outreach Liaisons influenced the prevalence of drug use among individuals injured in non-fatal crashes. In contrast, relative to states with no policy or cannabidiol/low tetrahydrocannabinol, those permitting recreational cannabis had significantly higher prevalence (adjusted prevalence ratio [aPR]: 1.57, 95% confidence interval [CI]: 1.22, 2.02). The implementation of sobriety checkpoints was associated with higher drug use prevalence (aPR: 1.59, 95% CI: 1.22, 2.09) when drug-impaired driving policies were absent, particularly in states permitting recreational cannabis.</p><p><strong>Conclusion: </strong>Our findings show differences in drug use prevalence among individuals (age 16+) injured in non-fatal MVCs based on state-level policies, highlighting the need for holistic enforcement strategies to address drug-related crashes, especially amid the increasing risks associated with the legalization of recreational cannabis use.</p>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-9"},"PeriodicalIF":1.6,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143494830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating crash mechanisms: Occupational factors among traditional and ride-hailing taxi drivers.","authors":"Yu Cao, Xuewen Xie, Zhipeng Peng, Yonggang Wang","doi":"10.1080/15389588.2025.2453071","DOIUrl":"https://doi.org/10.1080/15389588.2025.2453071","url":null,"abstract":"<p><strong>Objective: </strong>Taxi crashes rank second highest among all commercial vehicle crashes, primarily due to driver factors. Conducting driver occupational analysis is imperative for safeguarding the safety of taxi operations.</p><p><strong>Methods: </strong>This study used a survey questionnaire among 4,383 traditional and ride-hailing taxi drivers in China, analyzing 25 crash-related factors from an occupational standpoint. Subsequently, a multiple indicators multiple causes (MIMIC) model was devised to delve into the mediating effects and crash causation mechanisms.</p><p><strong>Results: </strong>The distinct influences of various factors on crash occurrence between traditional and ride-hailing taxi drivers are emphasized. The findings show that ride-hailing taxi drivers tend to be younger, have higher education levels, and have a higher proportion of part-time employment compared to traditional taxi drivers. They also report lower average income and management fees, shorter average driving hours, fewer severe sleep issues and fatigue levels, and lower crash rates. Further analysis uncovers that for traditional taxi drivers, gender and 5 factors directly affect crashes, and age and 7 factors indirectly affect crashes through unsafe driving behaviors. For ride-hailing drivers, occupational status and 5 factors, plus management fees and 9 others, play significant roles in safety. Overall, the influence of individual attributes on crash incidence varies between taxi drivers, with age and occupational status being the most significant factors. Additionally, the immediate economic burden has a stronger direct impact on crashes for both driver types. Furthermore, intensity-related factors, such as fatigue and extended continuous driving periods, contribute to unsafe driving behaviors and increase crash risk indirectly.</p><p><strong>Conclusions: </strong>With the use of targeted prevention policies proposed in this study, significant strides can be made in reducing the incidence of taxi crashes and enhancing overall transportation safety.</p>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-11"},"PeriodicalIF":1.6,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143494834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring drivers' psychological responses in spiral tunnel: visual attention and subjective perceptions.","authors":"Lei Han, Zhigang Du, Shoushuo Wang","doi":"10.1080/15389588.2025.2459860","DOIUrl":"https://doi.org/10.1080/15389588.2025.2459860","url":null,"abstract":"<p><strong>Objective: </strong>The objective of this study was to investigate the challenges associated with driving in spiral tunnels through a comprehensive analysis of both visual performance and subjective perceptions of drivers. By comparing driving behavior in spiral tunnels to that in conventional curved tunnels, the study aimed to identify specific differences in visual attention, cognitive processing, and perceived workload, ultimately informing tunnel design and safety improvements.</p><p><strong>Methods: </strong>Naturalistic driving experiments were conducted in two different tunnel environments: A conventional curved tunnel and a spiral tunnel. Participating drivers were equipped with eye-tracking device to measure visual performance indicators such as average fixation duration, average pupil diameter, average saccade duration, and average saccade amplitude. Additionally, drivers' subjective perceptions of workload were assessed using the National Aeronautics and Space Administration Task Load Index (NASA-TLX) scale, which evaluates mental, physical, temporal, and emotional demands, as well as overall performance and frustration.</p><p><strong>Results: </strong>The results of the study revealed significant differences in drivers' visual performance and subjective perceptions between spiral and curved tunnels. In spiral tunnels, drivers exhibited longer average fixation durations and larger average pupil diameters, indicating increased cognitive processing and visual attention requirements. Furthermore, drivers in spiral tunnels had longer average saccade durations and smaller average saccade amplitudes, suggesting a more cautious and focused visual scanning strategy due to the tight turns and limited visibility. Subjectively, drivers reported significantly higher workload across all dimensions of the NASA-TLX scale in spiral tunnels, indicating greater mental, physical, temporal, and emotional demands compared to curved tunnels.</p><p><strong>Conclusions: </strong>This study reveals the challenges of spiral tunnels for drivers, especially regarding visual attention and cognitive load. It suggests that improving tunnel design elements like lighting, signage, and road surfaces can lower drivers' cognitive demands and improve their visual processing. The research also emphasizes the importance of specialized driver training for navigating these tunnels safely. In summary, the findings enhance transportation safety by offering insights into driving behavior in complex tunnels and suggesting methods to reduce risks.</p>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-10"},"PeriodicalIF":1.6,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143473245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Causality of brain region activation during driver takeover in conditional autonomous driving: a study based on fMRI experiments.","authors":"Xiaonan Li, Feng Chen, Yunjie Ju, Peiyan Chen","doi":"10.1080/15389588.2025.2458591","DOIUrl":"https://doi.org/10.1080/15389588.2025.2458591","url":null,"abstract":"<p><strong>Objective: </strong>Understanding the neural decision-making mechanisms of drivers during takeover in conditional autonomous driving is crucial for improving driver safety and performance. This study investigates how visibility and urgency affect the activation and interactions of key brain regions, including the middle temporal gyrus (MTG), fusiform gyrus (FG), middle occipital gyrus (MOG), precentral gyrus (PCG), and precuneus (PCu), which are involved in distance perception, visual recognition, color processing, motor planning, and memory retrieval.</p><p><strong>Methods: </strong>Functional magnetic resonance imaging (fMRI) and Granger causality analysis were used to examine the brain activation patterns and interregional interactions of these areas during four driving scenarios, involving good or poor visibility and emergency or non-emergency conditions in a conditional autonomous driving context.</p><p><strong>Results: </strong>Under complex driving conditions (poor visibility or emergency), interactions among regions involved in visual processing and spatial cognition were significantly enhanced, reflecting the need for rapid integration of visual information. Both immediate and delayed effects were identified, with immediate responses prioritizing rapid perception and motor actions, while delayed effects supported sustained visual and spatial processing as conditions stabilized.</p><p><strong>Conclusions: </strong>These findings provide insights into the neural mechanisms driving behavior under varying driving conditions, aiding the optimization of driver assistance systems (ADAS), enhancing semi-autonomous driving safety and performance, and informing the development of personalized driver support technologies.</p>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-9"},"PeriodicalIF":1.6,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143473220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Convenience or safety system? Crash rates of vehicles equipped with partial driving automation.","authors":"Jessica B Cicchino","doi":"10.1080/15389588.2024.2448511","DOIUrl":"https://doi.org/10.1080/15389588.2024.2448511","url":null,"abstract":"<p><strong>Objective: </strong>Although partial driving automation systems are usually discussed as convenience features, consumers sometimes consider them to be safety features. The goal of this study was to assess if partial driving automation reduces rear-end and lane departure crashes beyond safety systems like automatic emergency braking (AEB) and lane departure prevention (LDP).</p><p><strong>Methods: </strong>Analyses examined crash rates of model year 2017-2019 Nissan Rogues and model year 2013-2017 BMW vehicles. Negative binomial regression was used to assess the association of Nissan's partial driving automation system, ProPILOT Assist, and BMW's system, Driving Assistant Plus, with police-reported rear-end and lane departure crash rates on the limited-access roads where they are designed to be used per vehicle mile traveled. Crash rates were also examined on roads with speed limits of ≤ 35 mph, where the systems were expected to have limited functionality and not be used much.</p><p><strong>Results: </strong>Equipment with BMW's Driving Assistant Plus was not associated with significantly lower crash rates than equipment with LDP alone. Rear-end crash rates were 26% lower on limited-access roads and 43% lower on roads with speed limits ≤ 35 mph for Nissan Rogues with ProPILOT Assist than for those with AEB alone. Similarly, lane departure crash rates were 25% lower for Nissan Rogues with ProPILOT Assist compared with those with LDP alone on limited-access roads, but were 31% lower on roads with speed limits ≤ 35 mph and 43% lower on limited-access roads in the dark. This brings into question if the lower crash rates associated with ProPILOT Assist can be attributed to use of the system, given that it would be activated infrequently on residential roads and that vehicles with it generally had better headlights than those unequipped.</p><p><strong>Discussion: </strong>There is no convincing evidence that partial driving automation is a safety system that is preventing crashes in the real world. Research incorporating system use will be key to understanding safety effects. Considering that drivers have been documented misusing these systems, designing partial driving automation with robust safeguards to deter misuse will be crucial to minimizing the possibility that the systems will inadvertently increase crash risk.</p>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-11"},"PeriodicalIF":1.6,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143473223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Crash risk prediction and analysis from the perspective of alignment and environment features: A study on an expressway in a hilly area.","authors":"Pengcheng Qin, Jie He, Changjian Zhang, Xintong Yan, Chenwei Wang, Yuntao Ye, Zhiming Fang","doi":"10.1080/15389588.2025.2459297","DOIUrl":"https://doi.org/10.1080/15389588.2025.2459297","url":null,"abstract":"<p><strong>Objective: </strong>Expressways in hilly areas feature complex alignment and environments constrained by terrain conditions, significantly threatening life and property safety. This study aims to investigate crash risk prediction of expressways in hilly areas through alignment and environment features and identify determinants of the high risk for safety improvement.</p><p><strong>Methods: </strong>Based on 5 years of crash data on casualties and property damage of an expressway in southwestern China, the order technique and five clustering algorithms were employed to determine and classify risk levels. Environment features were extracted by semantic segmentation with a DeepLabv3 model. The study established four ensemble learning models to predict crash risks, and the interpretable model approach was adopted to understand contributing features.</p><p><strong>Results: </strong>XGBoost achieved the best overall performance, with the accuracy and F1 score reaching 0.9259 and 0.8886. The proportion and variation rate of trucks and cars, and the proportions of constructions and the road positively correlated with high risks, while the proportions of the vegetation and road had negative correlations. The horizontal and vertical alignments, including long steep slopes, smaller curve radii, shorter transition curves, and smaller convex and concave curves radii, were linked to high risks.</p><p><strong>Conclusions: </strong>This study proposes an approach to predict crash risks on road sections without historical crash data. Combining the XGBoost model with the SHAP approach, enables accurate identification of risks on expressways in hilly areas using alignment and environment features and enhances the understanding of how these factors contribute to high risks.</p>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-11"},"PeriodicalIF":1.6,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143473226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Drunk driving has a speeding problem.","authors":"Mark B Johnson","doi":"10.1080/15389588.2025.2456942","DOIUrl":"https://doi.org/10.1080/15389588.2025.2456942","url":null,"abstract":"<p><strong>Objectives: </strong>Alcohol and excessive speeding are both linked to elevated crash risk. Alcohol-related and speeding-related crashes are recorded and treated as distinct, with separate etiologies. Yet, speeding and alcohol use are interrelated. We speculate that speeding might account for some of the crash risk associated with drunk driving.</p><p><strong>Methods: </strong>Data from the Crash Investigation Sampling System were analyzed. Vehicle speeds, measured moments before crashes, were estimated from driver blood alcohol concentrations (BACs) for different levels of injury severity. We first applied a previously published formula to estimate the relative crash risk associated with speeds that occur at different BACs. Then, from the literature we obtained relative crash risk odds ratios associated with different BACs. Finally, for BACs of 0.08 g/dl and 0.16 g/dl, separately for serious injury and fatality crashes, we created ratios to estimate what portion of the alcohol-crash risk might be attributed to higher travel speeds.</p><p><strong>Results: </strong>A statistically significant BAC × Injury Severity interaction indicated that crash drivers with higher BACs drove faster than their sober counterparts, and that this was exacerbated for more serious injuries. Among drivers with fatal injuries, those with BACs of 0.16 g/dl were traveling over 10 mph faster than their sober counterparts. Finally, using this information, for drivers at different BACs, we compared the crash risk attributable to speed with the crash risk as a function of alcohol levels. Accordingly, we estimate that at 0.08 g/dl, higher speeds accounted for nearly 50% of the fatality crash risk attributed to alcohol, and 25% of the fatality crash risk at 0.16 g/dl. For serious injuries, estimates were 39% and 16%, respectively.</p><p><strong>Conclusions: </strong>The literature on alcohol-related crashes widely attributes the increased crash risk to impaired driving skills, such as attention, coordination and reaction time. Our analysis suggests that speeding alone might account for some of this elevated risk. This has implications for understanding the etiology of alcohol-related crashes. We also suggest that speed control may be a viable means of reducing the harm from alcohol-related crashes.</p>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-5"},"PeriodicalIF":1.6,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143473232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}