Traffic Injury Prevention最新文献

{"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}

{"title":"Causality of brain region activation during driver takeover in conditional autonomous driving: a study based on fMRI experiments","authors":"Xiaonan Li ,&nbsp;Feng Chen ,&nbsp;Yunjie Ju ,&nbsp;Peiyan Chen","doi":"10.1080/15389588.2025.2458591","DOIUrl":"10.1080/15389588.2025.2458591","url":null,"abstract":"<div><h3>Objective</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusions</h3><div>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.</div></div>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":"26 7","pages":"Pages 798-806"},"PeriodicalIF":1.9,"publicationDate":"2025-10-03","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":"Trunk impact conditions in real PTW accidents based on multibody numerical reconstructions","authors":"Selim Cheaibi ,&nbsp;Maxime Llari ,&nbsp;Thibaut Deville ,&nbsp;Wei Wei ,&nbsp;Oscar Cherta-Ballester ,&nbsp;Valentin Honoré ,&nbsp;Catherine Masson ,&nbsp;Thierry Serre","doi":"10.1080/15389588.2025.2452326","DOIUrl":"10.1080/15389588.2025.2452326","url":null,"abstract":"<div><h3>Objective</h3><div>In Europe, Powered Two-Wheelers (PTW) riders are involved in 15% of all traffic fatalities and the most serious injuries are sustained on the trunk and the head. The aim of this work is to study motorcyclist impact conditions through the reconstruction of 8 real accidents leading to AIS3+ trunk injuries.</div></div><div><h3>Methods</h3><div>Based on multi-body simulations, key parameters such as impact speed, body impact angles and impacted obstacles are deeply analyzed to determine their influence on injury severity.</div></div><div><h3>Results</h3><div>Oblique and lateral impacts tend to increase the risk of rib fractures. Trunk impacts against vehicles show predominant normal speed components (25–40 km/h), while impacts with the ground have higher tangential speeds (40–50 km/h). Two main impact configurations for the trunk are proposed to reproduce impact conditions during PTW accidents causing AIS3+ trunk injuries.</div></div><div><h3>Conclusion</h3><div>This study allows a better understanding of trunk injury mechanisms in PTW accidents and can be used to improve protective device design.</div></div>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":"26 7","pages":"Pages 807-814"},"PeriodicalIF":1.9,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143123977","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 ,&nbsp;Jie He ,&nbsp;Changjian Zhang ,&nbsp;Xintong Yan ,&nbsp;Chenwei Wang ,&nbsp;Yuntao Ye ,&nbsp;Zhiming Fang","doi":"10.1080/15389588.2025.2459297","DOIUrl":"10.1080/15389588.2025.2459297","url":null,"abstract":"<div><h3>Objective</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusions</h3><div>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.</div></div>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":"26 7","pages":"Pages 835-845"},"PeriodicalIF":1.9,"publicationDate":"2025-10-03","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":"10.1080/15389588.2025.2456942","url":null,"abstract":"<div><h3>Objectives</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusions</h3><div>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.</div></div>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":"26 7","pages":"Pages 755-759"},"PeriodicalIF":1.9,"publicationDate":"2025-10-03","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}

{"title":"Investigating crash mechanisms: Occupational factors among traditional and ride-hailing taxi drivers","authors":"Yu Cao ,&nbsp;Xuewen Xie ,&nbsp;Zhipeng Peng ,&nbsp;Yonggang Wang","doi":"10.1080/15389588.2025.2453071","DOIUrl":"10.1080/15389588.2025.2453071","url":null,"abstract":"<div><h3>Objective</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusions</h3><div>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.</div></div>","PeriodicalId":54422,"journal":{"name":"Traffic Injury Prevention","volume":"26 7","pages":"Pages 815-825"},"PeriodicalIF":1.9,"publicationDate":"2025-10-03","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}