Traffic Injury Prevention最新文献

{"title":"Modeling geospatial determinants of pedestrian fatalities on high-speed rural roads using satellite imagery: A statewide analysis from Haryana, India.","authors":"Priyanshu Aman, Geetam Tiwari, Kalaga Ramachandra Rao","doi":"10.1080/15389588.2025.2555500","DOIUrl":"https://doi.org/10.1080/15389588.2025.2555500","url":null,"abstract":"<p><strong>Objective: </strong>Pedestrian fatalities on high-speed rural roads in low- and middle-income countries remain an underexplored but critical road safety issue. This study investigates pedestrian safety on high-speed rural roads in Haryana, India, spanning 5,069 km.</p><p><strong>Methods: </strong>A geospatial methodology was developed to assess changes in land use and population distribution within a 500 m buffer from 2017 to 2022 using satellite imagery. Sentinel-2 imagery and population density data helped estimate growth in built-up areas and demographic shifts. Fatality rates per 100 km and 10,000 population were calculated to identify high-risk corridors.</p><p><strong>Results: </strong>Analysis of 4,020 pedestrian fatalities showed peak occurrences in the evenings (7-9 PM), with the highest share on Sundays and in winter. Generalized Poisson and Negative Binomial (NB) regression models examined the impact of road, landuse, and demographic variables, with the NB model showing a better fit. Results show the significant impact of highly-exposed population, road length, village density, built-up areas, road category, and multilane roads on pedestrian fatalities, with a positive association.</p><p><strong>Conclusions: </strong>The study proposes a novel methodology to identify high-risk roads and significant risk factors for pedestrians on high-speed rural roads. It highlights the utility of satellite-derived data for large-scale analysis and the need for pedestrian-centric road designs in rural areas.</p>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-11"},"PeriodicalIF":1.9,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145239973","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":"Driving style modulates earthquake alert responses: EEG and eye-tracking evidence from simulated emergencies.","authors":"Jie Wang, Jiangtong Li, Yi Xiao","doi":"10.1080/15389588.2025.2556248","DOIUrl":"https://doi.org/10.1080/15389588.2025.2556248","url":null,"abstract":"<p><strong>Objective: </strong>Sudden earthquakes can severely disrupt urban transportation networks, leading to traffic interruptions and secondary accidents. Earthquake early warning (EEW) systems offer drivers a short window to respond. However, reactions vary by driving style, which influences attention and decision-making under stress. This study aims to examine how individual driving styles influence cognitive and behavioral responses to EEW alerts, with the goal of informing behavior-aware safety strategies during seismic emergencies.</p><p><strong>Methods: </strong>A total of 92 licensed drivers were classified into three driving style categories: cautious, aggressive, and defensive. Participants were exposed to simulated earthquake scenarios while driving, during which their eye movements and electroencephalogram (EEG) signals were continuously recorded. Behavioral responses were analyzed to identify common and style-specific patterns in attention allocation, cognitive load, and vehicle control.</p><p><strong>Results: </strong>All drivers followed a three-stage response pattern consisting of perception, fluctuation, and execution after EEW alerts. However, the duration and transition path of these stages varied by driving style. Aggressive drivers reacted quickly with frequent eye shifts and abrupt changes. Cautious drivers showed prolonged scanning and higher cognitive load, leading to delayed responses. Defensive drivers maintained steady attention, low tension, and smooth vehicle control.</p><p><strong>Conclusion: </strong>Driving style significantly influences both the timing and quality of responses to EEW alerts during earthquakes. The integration of behavioral profiling and neurocognitive metrics highlights the need for adaptive EEW interfaces tailored to individual drivers. These findings provide a foundation for enhancing transport resilience through personalized alert systems and targeted safety interventions.</p>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-8"},"PeriodicalIF":1.9,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145240005","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":"Analysis of conflict between right-turning vehicles and pedestrians at urban intersections using random parameter Logit model.","authors":"Tianyi Peng, Jianrong Liu","doi":"10.1080/15389588.2025.2545001","DOIUrl":"https://doi.org/10.1080/15389588.2025.2545001","url":null,"abstract":"<p><strong>Objective: </strong>Pedestrians are prone to more dangerous conflicts with right-turning vehicles when crossing the street because of sharing phases with right-turning vehicles or their own violations. This paper aims to alleviate the frequent conflicts between right-turning vehicles and pedestrians and explores the significant influencing factors behind these conflicts.</p><p><strong>Method: </strong>This study conducted field investigations at two representative signalized intersections in Guangzhou. During the research process, unmanned aerial vehicles (UAVs) were employed for oblique photography to collect data, which were then preprocessed using T-Analyst software. Based on this, intersection characteristics, characteristics of conflict participants, and unsafe crossing behaviors were extracted in detail, and this information was correlated with the behavioral trajectories of both parties involved in the traffic conflicts. In terms of conflict identification, the study utilized the time difference to collision (TDTC) method to identify 701 valid conflicts. In the data analysis phase, ordered Logit models, generalized ordered Logit models, and random parameter ordered Logit models were employed for modeling and analysis. Among them, the random coefficients ordered Logit model exhibited the best fit.</p><p><strong>Result: </strong>The model results indicate that pedestrian pairing and the sequence in which conflict participants traverse the conflict point. Specifically, pedestrians crossing in pairs face a 13.9% higher risk of severe conflicts compared to those crossing alone, while the probability of minor conflicts decreases by 14.5%. Although vehicles passing first (VPF) through the conflict point reduce the occurrence of general and minor conflicts to some extent, they may trigger more severe conflicts. Furthermore, pedestrian and right-turning vehicle violations such as running red lights and failing to pay attention to oncoming traffic significantly increase the risk of severe conflicts.</p><p><strong>Conclusion: </strong>To mitigate conflicts between right-turning vehicles and pedestrians, it is recommended to appropriately adjust the length and width of pedestrian crossings and implement dynamic signal phase control strategies at intersections where significant temporal variations in pedestrian and vehicular traffic are observed, ensuring orderly traffic movement across all time periods. Additionally, surveillance equipment should be installed at intersections to conduct real-time monitoring and management of pedestrian and vehicular violations, thereby curbing the occurrence of unsafe behaviors.</p>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-9"},"PeriodicalIF":1.9,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145240000","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 influence of Anthropomorphism, Interactivity, Perceived Green Value, and Social Influence on pedestrian acceptance of fully autonomous vehicles: The mediating effect of Perceived Risk and Perceived Safety.","authors":"Huaqiang Zhang, Yanyan Wei, Yongkang Chen, Ying Cai","doi":"10.1080/15389588.2025.2561182","DOIUrl":"https://doi.org/10.1080/15389588.2025.2561182","url":null,"abstract":"<p><strong>Objective: </strong>Although Fully Autonomous Vehicles (FAVs) will bring significant benefits to road traffic, the replacement of human drivers by automated systems weakens pedestrians' ability to socially interact with road traffic and reduces their acceptance of FAVs. This study aims to explore factors influencing pedestrians' acceptance of FAVs.</p><p><strong>Methods: </strong>This study proposes a novel FAVs Acceptance Model from the pedestrian perspective, integrating the Stimulus-Organism-Response (S-O-R) framework and Perceived Risk Theory. We examine four key antecedent variables Anthropomorphism, Interactivity, Perceived Green Value, and Social Influence and explore their influence on pedestrian acceptance through the mediating roles of Perceived Risk and Perceived Safety. Data were collected from 301 Chinese participants through an online survey, and Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to empirically analyze the model.</p><p><strong>Results: </strong>The results reveal that Interactivity significantly enhances acceptance by reducing Perceived Risk and increasing Perceived Safety. Anthropomorphism influences acceptance primarily through reducing Perceived Risk, while its effect <i>via</i> Perceived Safety is not significant. Perceived Green Value improves Perceived Safety but has no significant impact on reducing Perceived Risk. Notably, Social Influence increases Perceived Risk and reduces Perceived Safety, leading to a negative indirect effect on Acceptance.</p><p><strong>Conclusions: </strong>This study makes several contributions: (a) it expands the FAVs acceptance literature by shifting the focus to pedestrians, an underexplored stakeholder group; (b) it provides an integrated model combining psychological and design-related variables; (c) it offers actionable insights for policymakers and designers to improve human-FAVs interactions. These study findings offer a robust theoretical foundation and practical guidance for advancing safe and inclusive autonomous mobility.</p>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":" ","pages":"1-9"},"PeriodicalIF":1.9,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145239931","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":"Enhancing motorcycle safety: Quantifying the effects of Autonomous Emergency Braking and Adaptive Cruise Control in crashes reduction","authors":"Abdelkarim Ait-moula ,&nbsp;Claire Naude ,&nbsp;Ebrahim Riahi ,&nbsp;Thierry Serre","doi":"10.1080/15389588.2025.2461575","DOIUrl":"10.1080/15389588.2025.2461575","url":null,"abstract":"<div><h3>Objective</h3><div>Powered 2-wheeler (PTW) safety remains a critical concern, prompting the investigation into the efficacy of advanced rider assistance systems (ARAS) in reducing crash rates. The objective of this study is to provide a comprehensive quantification of the effects of 2 such systems, Adaptive Cruise Control (ACC) and Autonomous Emergency Braking (AEB), on the avoidance or mitigation of motorcycle crashes.</div></div><div><h3>Methods</h3><div>Using real-world motorcycle crash data, this research employed kinematic reconstruction techniques and numerical simulations to evaluate the impact of ACC and AEB on crash reduction. A parametric study was conducted, exploring various parameters including trigger distances, deceleration rates, and field of view, to assess their influence on the effectiveness of this systems in crashes involving PTWs.</div></div><div><h3>Results</h3><div>The analysis revealed significant findings regarding the effectiveness of ACC and AEB in reducing crash rates involving motorcycles. Notably, ACC, especially in dynamic mode with a trigger distance of 40 m, demonstrated the ability to prevent 53% of crashes, resulting in impact speed reductions ranging from 4 to 25 km/h. Similarly, AEB exhibited remarkable effectiveness, reducing impact speeds by 2.5 to 38.9 km/h, with avoidance rates ranging from 7% to 63%.</div></div><div><h3>Conclusions</h3><div>Optimization of key parameters such as triggering strategy, deceleration, sensor range, and field of view is crucial for maximizing the effectiveness of ARAS in motorcycle safety applications. These findings provide valuable insights for manufacturers and policymakers, highlighting the need for tailored approaches to system design and implementation. By refining these systems based on empirical data and analysis, significant improvements can be made in motorcycle safety, ultimately saving lives and reducing the severity of crashes on roadways.</div></div>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":"26 7","pages":"Pages 846-855"},"PeriodicalIF":1.9,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143607116","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":"Analyzing and enhancing motorized two-wheeler overtaking safety: A comprehensive study on two-way two-lane urban roads","authors":"Momi Deb ,&nbsp;Maddu Kamalnath ,&nbsp;Shemin Almas Majumder ,&nbsp;Suprava Jena","doi":"10.1080/15389588.2025.2461580","DOIUrl":"10.1080/15389588.2025.2461580","url":null,"abstract":"<div><h3>Objective</h3><div>Motorized two-wheelers (MTW) are popular in congested urban areas with heavy traffic since they offer a quick and adaptable means of transportation. Overtaking and lane changing manoeuvers happen when traffic does not flow at the intended speed. They cannot be avoided, especially in mixed traffic scenarios when there is a constant speed differential between fastmoving and slow-moving cars. Collisions during overtaking manoeuvers are one of the leading causes of motorized two-wheeler injuries/fatalities among crashes involving motorized two-wheelers. Considering these issues, there is a need to perform thorough analysis of the overtaking manoeuverability of MTW on two-way two-lane urban roads</div></div><div><h3>Methodology</h3><div>The study utilized a video-graphic survey conducted in Guwahati and Silchar, India, with data extraction performed through Kinovea. The study focused on predicting the maneuverability of motorized two-wheelers (MTW) during overtaking, employing binary logit modeling (BLM) after identifying relevant influencing factors. To evaluate prediction capabilities, the performance of BLM, support vector machine (SVM) and decision tree were compared. Additionally, a decision tree was constructed to provide guidance to MTW riders during overtaking maneuvers on two-way two-lane urban roads.</div></div><div><h3>Results</h3><div>The essential input variables for the BLM included the speed of the subject motorized two-wheeler (MTW), the overtaken vehicle, and the oncoming vehicle, along with the presence of a pillion rider, as well as lateral and longitudinal distances. The performance metrics derived from the confusion matrix indicated that SVM outperformed BLM and decision tree. The decision tree provides a descriptive insight of the observed behavior of MTW riders on the selected road stretches.</div></div><div><h3>Conclusion</h3><div>The findings of this research can be adopted for developing an Advanced Driver Assistance System (ADAS) aimed at enhancing the safety of MTW riders during overtaking maneuvers on two-way two-lane roads in urban areas.</div></div>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":"26 7","pages":"Pages 856-865"},"PeriodicalIF":1.9,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143558830","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 ,&nbsp;Zhigang Du ,&nbsp;Shoushuo Wang","doi":"10.1080/15389588.2025.2459860","DOIUrl":"10.1080/15389588.2025.2459860","url":null,"abstract":"<div><h3>Objective</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusions</h3><div>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.</div></div>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":"26 7","pages":"Pages 775-784"},"PeriodicalIF":1.9,"publicationDate":"2025-10-03","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":"Is there a difference in crash self-reports between electric and conventional motorcycles in Vietnam?","authors":"Minh Hieu Nguyen ,&nbsp;Duy Quy Nguyen-Phuoc ,&nbsp;Dorina Pojani ,&nbsp;Oscar Oviedo-Trespalacios ,&nbsp;Thanh Chuong Nguyen ,&nbsp;Thanh Tung Ha ,&nbsp;Cao Y Nguyen ,&nbsp;Thanh Tu Nguyen ,&nbsp;Minh Ngoc An","doi":"10.1080/15389588.2025.2453629","DOIUrl":"10.1080/15389588.2025.2453629","url":null,"abstract":"<div><h3>Objectives</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusions</h3><div>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.</div></div>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":"26 7","pages":"Pages 826-834"},"PeriodicalIF":1.9,"publicationDate":"2025-10-03","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":"The association between driving under the influence of alcohol and seatbelt usage in Korea","authors":"Jaewoo Kim ,&nbsp;Chaewon Oh ,&nbsp;Eun-Cheol Park ,&nbsp;Yeseul Jang","doi":"10.1080/15389588.2025.2458589","DOIUrl":"10.1080/15389588.2025.2458589","url":null,"abstract":"<div><h3>Objective</h3><div>Despite the mandatory use of seatbelts in Korea, their prevalence remains comparatively low. This study examines whether DUIA, a leading risk factor for road traffic injuries, predicts seatbelt usage by analyzing the prevalence of seatbelt use among individuals who have experienced DUIA compared to those who have not.</div></div><div><h3>Methods</h3><div>This cross-sectional study utilized data from 9,227 driver’s license holders aged 20 years or older from the Korea National Health and Nutrition Examination Survey (KHANES) conducted between 2019 and 2021. Multivariable logistic regression analysis was conducted to investigate the association between experience of DUIA and seatbelt use while adjusting for individual-level covariates. A stratified analysis was conducted based on sociodemographic variables. Finally, a subgroup analysis was performed to examine the association between experience of DUIA and frequency of seatbelt use in each seat type (the driver’s seat, the front passenger seat, and the rear seat).</div></div><div><h3>Results</h3><div>This study showed that having an experience of DUIA is significantly associated with not wearing seatbelts. (aOR, 3.53 [95% CI, 2.55–4.88]). Stratification based on sociodemographic variables showed that one’s job type (pink collar: aOR, 5.67 [95% CI, 2.03–15.88]; blue collar: aOR, 5.35 [95% CI, 3.03–9.47]), and smoking status (current smokers: aOR, 5.67 [95% CI, 2.72–11.82]) increase the prevalence of experience of DUIA. Furthermore, experience of DUIA was associated with an increased prevalence of not wearing seatbelts in all seat types.</div></div><div><h3>Conclusion</h3><div>The prevalence of experience of DUIA can be established as a statistically significant independent predictor of seatbelt usage among Korean adults.</div></div>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":"26 7","pages":"Pages 769-774"},"PeriodicalIF":1.9,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144210244","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 ,&nbsp;Andreas Schäuble ,&nbsp;Marianne Guesneau ,&nbsp;Wei Wei ,&nbsp;Yvan Petit","doi":"10.1080/15389588.2025.2462685","DOIUrl":"10.1080/15389588.2025.2462685","url":null,"abstract":"<div><h3>Objectives</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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).</div></div><div><h3>Conclusion</h3><div>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.</div></div>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":"26 7","pages":"Pages 866-873"},"PeriodicalIF":1.9,"publicationDate":"2025-10-03","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}