Traffic Injury Prevention最新文献

{"title":"Exploring risky driving behaviors in severe taxi crashes: Accounting for unobserved heterogeneities using latent class clustering and partial proportional odds model.","authors":"Jingfeng Ma, Yuanxiang Yang, Gang Ren, Shunchao Wang","doi":"10.1080/15389588.2025.2476618","DOIUrl":"https://doi.org/10.1080/15389588.2025.2476618","url":null,"abstract":"<p><strong>Objective: </strong>Taxis play an important role in public travel, yet limited concerns are devoted to taxi-involved safety compared with other travel modes. In particular, few studies have examined the heterogeneities of risky driving behaviors in taxi-involved crashes. This study quantifies the heterogeneity and characterizes the injury distribution of risky driving behaviors based on police-reported taxi crashes.</p><p><strong>Methods: </strong>Latent class clustering (LCC) is applied to identify the optimal number of clusters by maximizing heterogeneities across clusters. The number is determined by the Akaike information criterion (AIC), Bayesian information criterion (BIC), and entropy-based values of an LCC test. Partial proportion odds (PPO) models as well as marginal effects are tailored to quantify the unobserved heterogeneities based on different recognized sub-data sets.</p><p><strong>Results: </strong>The model outcomes of the combined approach highlight that submodel outcomes perform better than the whole data set. It is easy to determine the significant heterogeneities in risky driving behaviors across the characterized clusters. The top 3 contributing factors are dangerous overtaking, running red lights, and sudden acceleration/deceleration (maximum marginal effects exceeding +31%). There are significant heterogeneities in the top 3 factors across different clusters. Notably, aggressive driving behaviors display great heterogeneities, especially dangerous overtaking (moderate: +16.43%, severe: +36.88%).</p><p><strong>Conclusions: </strong>These results evidence that the submodels have better fitness than the whole model. These findings reveal the necessity of the combined approach and the remarkable heterogeneities across various clusters, providing insightful guidance to make cluster-specific countermeasures for road safety improvement.</p>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-7"},"PeriodicalIF":1.6,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143996599","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":"How to design an fMRI-compatible driving simulator: A systematic review.","authors":"Homayoun Sadeghi-Bazargani, Melika Ahmadi Bonabi, Mahshad Narimani, Sepita Taghizadeh, Razieh Abdolrahmanzadeh, Sama Rahnemayan, Morteza Ghojazadeh","doi":"10.1080/15389588.2025.2473541","DOIUrl":"https://doi.org/10.1080/15389588.2025.2473541","url":null,"abstract":"<p><strong>Objective: </strong>This systematic review provides key considerations for designing a functional magnetic resonance imaging (fMRI)-compatible driving simulator.</p><p><strong>Methods: </strong>This study included original articles that utilized simulators with a wheel, pedal, or joystick under an fMRI scanner, searched across databases like Scopus, PubMed, and Embase up to November 2024. The risk of bias in individual studies was apprized using the Joanna Briggs Institute's (JBI) risk of bias tool for quasi-experimental studies.</p><p><strong>Results: </strong>A total of 22 articles were included, with the United States leading in publications. The studies involved 476 participants, 56% of whom were male, with a mean age of 26.6 years and median 3 years of driving experience. Seventeen studies used pedals, with 11 incorporating both gas and brake pedals. The simulated environment mainly consisted of a 2-lane road with green shoulders on both sides and distractions included white and yellow lines, lights, pedestrians, and moving vehicles. Four studies used a joystick in their driving simulator. Almost all the articles mentioned the imaging settings in detail.</p><p><strong>Conclusions: </strong>The article discusses key features of fMRI-compatible driving simulators and suggests that future research should consider pedal differences, road and weather conditions, and the impact of hand dominance on driving performance.</p>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-8"},"PeriodicalIF":1.6,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144046218","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":"Scooter accidents in the megacity of Istanbul: An analysis of orthopedic injury trends and characteristics from a level I trauma center.","authors":"Murat Taşcı, Onur Uzuntepe, Mehmet Salih Söylemez","doi":"10.1080/15389588.2025.2485389","DOIUrl":"https://doi.org/10.1080/15389588.2025.2485389","url":null,"abstract":"<p><strong>Aim: </strong>This study aimed to analyze orthopedic injury patterns and characteristics resulting from scooter accidents in Istanbul, Turkey, focusing on trends related to time, day, season, and demographic factors.</p><p><strong>Methods: </strong>We conducted a retrospective analysis of 375 patients treated for scooter-related injuries at a Level I trauma center in Istanbul. The study period spanned the years of 2018 to 2023. Injuries were categorized by body region and treatment types were analyzed, including the need for surgical intervention and associated costs. Seasonal and temporal patterns of injuries were examined with specific attention to peak admission times and days of the week.</p><p><strong>Results: </strong>The study population consisted of 250 male (66.7%) and 125 female patients (33.3%), with a mean age of 22.6years. Most injuries were due to low-energy trauma (86.4%), with only 13.6% resulting from high-energy trauma. The majority of patients had upper extremity injuries (45.1%), followed by lower extremity injuries (26.9%). Fractures were present in 57% of cases with common injuries including hand-wrist fractures (17.1%) and elbow fractures (13.9%). Surgical intervention was required for 10.9% of these patients and the remainder were treated conservatively. The mean cost for patients with fractures was significantly higher for those requiring surgical treatment ($602.28) compared to conservative management ($36.49, <i>p</i>=0.001). A peak in admissions was identified at 8:00PM, with significant injury rates observed on Mondays, Thursdays, Saturdays, and Sundays. Increased admissions were observed from May to September, with July being the busiest month. From 2018 to 2021; there was a 250-350% increase in scooter injuries, followed by a decrease in 2022 and 2023.</p><p><strong>Conclusion: </strong>Our study reveals a notable trend of increased scooter-related orthopedic injuries in Istanbul, particularly during late afternoon and evening hours and on weekends. The seasonal peak in injuries supports the association between warmer weather and higher scooter use on holidays and days off. The observed increase in injuries followed by a more recent decline may reflect changes in mobility patterns due to the COVID-19 pandemic. These results highlight the need for targeted preventive measures and safety interventions during peak times and seasons to reduce scooter-related injuries in urban settings.</p>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-6"},"PeriodicalIF":1.6,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144058351","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":"Factors associated with mortality of hospitalized road traffic injury patients in 4 low- and middle-income countries.","authors":"Heather E Rosen, Mohammad K Khalaf, Sudeshna Mitra, Kazuyuki Neki, Adnan A Hyder, Nino Paichadze","doi":"10.1080/15389588.2025.2471558","DOIUrl":"https://doi.org/10.1080/15389588.2025.2471558","url":null,"abstract":"<p><strong>Objectives: </strong>Road traffic injuries (RTIs) are an important public health problem, especially in low- and middle-income countries (LMICs), and are highly preventable with evidence-based interventions. This study aimed to describe the sociodemographic characteristics, risk factors, and patterns of injury that are associated with in-hospital mortality among patients with RTIs.</p><p><strong>Methods: </strong>A prospective observational study was conducted at 8 hospitals in Cambodia, Ethiopia, Mexico, and Zambia with adult patients who sustained moderate to severe RTIs and were admitted to participating hospitals for at least 24 h. Bivariate and multivariable logistic regression models were used to examine the association between relevant variables and death in-hospital.</p><p><strong>Results: </strong>The majority of RTI deaths occurred among males aged 18 to 44 who were pedestrians or riders of 2- or 3-wheeled vehicles. The following variables were associated with in-hospital mortality: Riding a 2- or 3-wheeler (adjusted odds ratio [AOR] 3.30, 95% confidence interval [CI] 1.06-10.23), moderate-severe Glasgow Coma Scale (GCS; AOR 10.27, 95% CI 4.72-22.33), and low systolic blood pressure (AOR 5.97, 95% CI 1.97-18.04).</p><p><strong>Conclusions: </strong>The findings reinforce the important role of traumatic brain injury (TBI) in RTI deaths and highlight the need for capacity building to develop local neurosurgery expertise to manage and treat TBI in LMICs. Evidence-based prevention strategies such as lowering speed limits in urban areas, protecting users via dedicated footpaths and cycle paths, and increasing helmet use are recommended to mitigate the impact of RTIs and reduce mortality among vulnerable road users. In addition, triage systems should be in place to identify patients with moderate-severe GCS and low systolic blood pressure for immediate and intensive care.</p>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-6"},"PeriodicalIF":1.6,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144040989","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":"The relationship between emotional intelligence, visual cognitive performance, and driving behavior across different age groups.","authors":"Yang-Kun Ou, Po-Ying Tseng, Wei-Ru Chen","doi":"10.1080/15389588.2025.2480639","DOIUrl":"https://doi.org/10.1080/15389588.2025.2480639","url":null,"abstract":"<p><strong>Objective: </strong>In the process of driving, visual cognitive abilities and emotional intelligence (EI) play very important roles in the perception of, and the subsequent decision about hazards and sudden events in the surrounding environment. This study explored the differences in EI, visual cognitive performance, and driving behavior across various age groups. It examined the differences in the number of collisions and eye movements in regular and sudden traffic incidents and investigated the relationship between EI, visual cognitive performance, and driving behavior.</p><p><strong>Methods: </strong>A total of 52 participants were recruited and divided into three groups: a younger group, a middle-aged group, and an older group. All participants were required to respond to both regular and sudden events in simulated driving sessions, during which data on the number of collisions and eye movements were collected. In addition, assessments for risky driving and EI were also performed.</p><p><strong>Results: </strong>The results indicated that young drivers exhibited considerably higher scores in the management of others' emotions than those of middle-aged and older drivers, whereas older drivers demonstrated less frequent risky driving and distracted driving behavior. In terms of eye movement performance, young drivers rapidly noticed traffic incidents and exhibited a larger number of eye movements and longer fixation duration during regular traffic incidents compared with the other age groups. In addition, risky driving and the number of collisions in different traffic event types were strongly correlated with age, distracted driving, EI, and visual cognitive performance.</p><p><strong>Conclusion: </strong>This study contributes to understanding the effects of age, EI and visual cognitive performance on risky driving, as well as the relationship among risking driving and eye movements characteristics. This study can serve as a reference for developing preventive measures against risky driving behavior and traffic accidents, based on the differences in EI, visual cognitive performance, and eye movement characteristics.</p>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-10"},"PeriodicalIF":1.6,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144006118","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":"Risky driving behaviors at school drop-off across Canadian municipalities: Findings from the Child Active Transportation Safety and the Environment (CHASE) study.","authors":"Tona M Pitt, Alison Macpherson, Liraz Fridman, Brent E Hagel, Meghan Winters, Marie-Soleil Cloutier, Tate HubkaRao, Pamela Fuselli, Andrew Howard, Linda Rothman","doi":"10.1080/15389588.2025.2478153","DOIUrl":"https://doi.org/10.1080/15389588.2025.2478153","url":null,"abstract":"<p><strong>Objectives: </strong>School drop-off times can result in high volumes of motor vehicle traffic and drivers may engage in risky behaviors that may put children at risk and inhibit active school transportation. The study objective is to examine the association between features of the roadway physical environment and the number of different risky driving behavior types around selected elementary schools in seven Canadian municipalities during morning drop-off times.</p><p><strong>Methods: </strong>In this descriptive study research assistants in seven Canadian municipalities coded whether or not (yes/no) any of 9 types of risky driving behaviors were observed during morning school drop-off times and active transportation counts at 552 elementary schools. Proportions of driving behaviors, overall and by type, were analyzed for each municipality. Schools in the highest decile and lowest decile of risky driving behaviors types were contrasted by features of the physical environment and presence of school crossing guards.</p><p><strong>Results: </strong>Risky driving behaviors were observed at 98% of the 552 schools. The most commonly observed behavior was dropping child off on the opposite side of the street with the child subsequently crossing midblock with no traffic controls (80%). Schools with the fewest types of risky behaviors observed had more favorable Active Living Environment scores, curb extensions present more frequently, more restricted parking signage, more access to school entrances, and had child crossing guards less often.</p><p><strong>Conclusions: </strong>The occurrence of risky driving behaviors is unacceptably high, with some inter-city differences observed. Understanding the extent and type of risky driving behaviors, as well as the environment in which these behaviors occur, can inform school, school board, and municipal interventions to reduce such actions.</p>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-5"},"PeriodicalIF":1.6,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144032533","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":"Meta-analysis of crashes on two-lane rural highways using Bayesian Networks and Random Forest.","authors":"Randa Oqab Mujalli, Laura Garach, Alejandro Ruiz-Padillo","doi":"10.1080/15389588.2025.2472271","DOIUrl":"https://doi.org/10.1080/15389588.2025.2472271","url":null,"abstract":"<p><strong>Objective: </strong>The study used data for crashes that occurred on two-lane rural highways in Granada, Spain, over a four-year period (2016-2019). The obtained dataset consisted of 1,291 crashes. The data was used to identify the variables that influence crash injury severity.</p><p><strong>Methods: </strong>In this study, a hybrid meta-learning methodology based on Bayesian Networks (BNs) and Random Forest (RF) was used. To the authors' knowledge, these methods have never been combined in a single analysis. BNs identified the main factors influencing crash injury severity and the categories of these factors that are most important for each injury severity. These factors were ranked in importance from highest to lowest using RF.</p><p><strong>Results: </strong>It was found that the following variables significantly increase the risk of a fatality in a traffic crash: driver age, crash type, time of day, main crash cause according to police assessment, and lane width. In addition, it was found that the following categories of these factors were associated with a higher risk of fatality: driver age over 45, rollover crash type, nighttime lighting conditions, police reported driver distractions, and lane width of less than 3.25 meters.</p><p><strong>Conclusion: </strong>It became evident that using a hybrid meta-learning methodology based on BNs and RF was helpful in identifying the most significant factors, which influence the negative outcome of crashes. Local criteria that may evaluate the traffic safety of present and future highways should be developed and put into use in order to improve the level of traffic safety in two-lane rural highways, reducing the severity of injuries caused by traffic crashes and improving traffic safety.</p>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-9"},"PeriodicalIF":1.6,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143784447","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":"In-depth investigation into the hierarchical causal chain of fatal crashes between vulnerable road users and single motor vehicle.","authors":"Lan Huang, Xianghai Meng, Zhibin Ren","doi":"10.1080/15389588.2025.2471557","DOIUrl":"https://doi.org/10.1080/15389588.2025.2471557","url":null,"abstract":"<p><strong>Objectives: </strong>Crash pattern recognition and characterization are essential for reducing the damage vulnerable road users (VRUs) suffer in motor vehicle crashes. However, traditional methods provide an incomprehensive understanding of crash causality and the impacts of VRU-vehicle interactions. Therefore, this study aims to provide a reasonable causality for various types of crashes.</p><p><strong>Methods: </strong>To achieve this goal, a three-layer causal analysis framework was developed. The layers consist of physical states (mainly environmental and human factors), interactions (pre-crash behaviors of drivers and VRUs), and crashes. First, latent class cluster analysis and sequence analysis were used to identify the interactive behavior patterns and crash patterns of VRU-vehicle pairs, respectively. Besides, an oversampling algorithm was proposed to assist the Granger causality test in uncovering the latent causal relationships between pre-crash behavior patterns and crash patterns. Finally, Sankey diagrams were utilized to compare and analyze the crash path.</p><p><strong>Results: </strong>The results show that single and consecutive crashes have nine and eleven typical scenarios, respectively, excluding considering the potential causal chains. These potential causal chains provide nine new scenarios. It was found that personal subjective factors primarily influence pre-crash behavior of drivers, while for VRUs, the traffic environment plays a crucial role. Noteworthily, the highest crash risk was only associated with the causal chain where vehicles are unable to brake in time.</p><p><strong>Conclusions: </strong>Clarifying the causal relationships between VRU-vehicle interaction and crash is essential, which can help finding the critical causes of fatal crashes. The analysis identified VRU violations and the inability of vehicles to brake in time as critical determinants of crash severity in both single and consecutive crash scenarios. Accordingly, targeted safety interventions were proposed, including enhancements to pedestrian crossing infrastructure and improvements in vehicle braking systems to mitigate crash risk.</p>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-9"},"PeriodicalIF":1.6,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143784515","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":"Managing the road safety risks of last mile deliveries: Do telematics have a role to play?","authors":"Nicola Christie ,&nbsp;Sarah O’Toole ,&nbsp;Alice Holcombe ,&nbsp;Niamh Bull ,&nbsp;Shaun Helman","doi":"10.1080/15389588.2024.2413143","DOIUrl":"10.1080/15389588.2024.2413143","url":null,"abstract":"<div><h3>Objective</h3><div>The research aimed to understand the impact of telematics in reducing traffic violations and crashes among drivers working in parcel delivery and the perceived utility, effectiveness, and acceptability of telematics among drivers using them. The objective was to carry out an online survey among drivers who have telematics versus drivers who do not and compare their behaviors in terms of risks and violations controlling for key demographics an exposure.</div></div><div><h3>Methods</h3><div>An online anonymous survey was conducted of 780 home delivery drivers of which 430 used telematics in 2022. The survey was conducted by a fieldwork company and participants were compensated for their time. Univariate and multivariate analysis was conducted on the data.</div></div><div><h3>Results</h3><div>Telematics users did not report less crashes than drivers who did not use telematics. Most drivers, irrespective of telematics use agreed that the time pressure of delivery work increased speed limit violations and unsafe or hazardous parking. Multivariate analysis indicated that damage collisions for all drivers were associated with factors such as, driving medium to large vans, hazardous behavior related to parking, and having penalties for violations, especially related to speed. Delivery drivers, while generally facing pressure to speed and take risks to meet delivery schedules, did perceive telematics as a tool for safety enhancement and information dissemination, as well as for the management of performance. Non-telematics users viewed it with skepticism.</div></div><div><h3>Conclusions</h3><div>Telematics alone may not ensure the safety of last-mile deliveries and could potentially increase the pressure of deliveries. This research underscores the need for a holistic approach to road safety in the home delivery sector, combining telematics technology with a proactive safety culture.</div></div>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":"26 3","pages":"Pages 300-306"},"PeriodicalIF":1.6,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142569989","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 data availability and best practices across the United States.","authors":"Hannah Younes, Robert B Noland","doi":"10.1080/15389588.2025.2466201","DOIUrl":"https://doi.org/10.1080/15389588.2025.2466201","url":null,"abstract":"<p><strong>Objective: </strong>Though data on fatal crashes are available through the Fatality Analysis Reporting System (FARS) and are readily available to the public, many states do not make their crash data (including injuries) easily accessible for the public and the research community. The public has an interest in knowing when and where crashes occur, partly so they can demand that authorities improve safety. Researchers have an interest in being able to download data and conduct analyses to better understand mechanisms that lead to crashes and assist decision makers in designing effective policies. The objective of our study is to document the state of crash data availability throughout the country and to determine the best practices for crash data management and procedures for making data open and easily accessible.</p><p><strong>Methods: </strong>We reviewed 2 main dimensions of crash data, raw crash data and dashboards, by scouring the internet and reaching out to relevant stakeholders. We also conducted structured in-depth interviews of those responsible for crash data in selected states and various users of the data.</p><p><strong>Results: </strong>We compiled a comprehensive nationwide database of open crash data characteristics for states and cities that provide such data. The database is available online in an effort to increase data transparency. Our interviews with stakeholders uncovered multiple issues beyond transparency, including quality control, usability, data linkages, data analysis, collaborations between stakeholders, and other political and financial constraints.</p><p><strong>Conclusions: </strong>Conclusions from our analysis include (1) the importance of linking crash data with other data sets (e.g., injury surveillance data); (2) the need for partnerships and collaborations between universities, advocates, and agencies; and (3) challenges with management of quality control. We present the results of our quantitative and qualitative work to offer best practices and Vision Zero guidance for state policymakers and traffic crash data experts.</p>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-10"},"PeriodicalIF":1.6,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143782011","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}