{"title":"Driver behavioral and psychological traits as risk factors for traffic accidents: a systematic review and meta-analysis.","authors":"Yangyi Liu, Jinwei Xu, Youjun Zheng","doi":"10.1080/17457300.2026.2678330","DOIUrl":"https://doi.org/10.1080/17457300.2026.2678330","url":null,"abstract":"<p><p>Driver behaviors and psychological traits are important and modifiable risk factors for traffic accidents. Previous studies have reported inconsistent results, often with small sample sizes. We conducted a systematic review and meta-analysis to quantitatively synthesize evidence on the association between driver behaviors, psychological traits, and traffic accident risk. PubMed and CNKI databases were searched. Eligible cross-sectional and case-control studies reporting odds ratios (ORs) or sufficient data to calculate them were included. Study quality was assessed using the 11-item Agency for Healthcare Research and Quality checklist. Pooled ORs were calculated using a random-effects model. <i>I<sup>2</sup></i> and <i>τ<sup>2</sup></i> statistics assessed heterogeneity, and leave-one-out sensitivity analyses were performed. Eighteen studies were included, covering nine behavioral factors (alcohol drinking, fatigue, lack of speed limit awareness, running a red light, sleep disorder, sleep duration less than 8 h, unawareness of entering the non-motorized lane, phone use, and not wearing a seatbelt/helmet) and five psychological traits (anger, anxiety, and three Eysenck personality dimensions). Pooled ORs ranged from 1.16 to 3.65. Study quality was generally moderate to high (scores 5-10), with no studies rated as high risk of bias. Heterogeneity was moderate to high for most factors but decreased after excluding certain studies, and effect directions remained consistent. Multiple driver behaviors and psychological traits significantly increase traffic accident risk, highlighting the importance of incorporating behavioral and psychological risk factor assessment into traffic safety policies and designing targeted prevention strategies.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-11"},"PeriodicalIF":2.0,"publicationDate":"2026-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148164960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yağmur Özinal Avşar, Zeynel Baran Yıldırım, Ercan Avşar, Mustafa Özuysal, Süheyla Pelin Çalışkanelli
{"title":"A novel XGBoost method with entity embeddings for feature analysis and classification of traffic crash types.","authors":"Yağmur Özinal Avşar, Zeynel Baran Yıldırım, Ercan Avşar, Mustafa Özuysal, Süheyla Pelin Çalışkanelli","doi":"10.1080/17457300.2026.2678331","DOIUrl":"https://doi.org/10.1080/17457300.2026.2678331","url":null,"abstract":"<p><p>Crash type is an important factor in understanding crash severity, as certain types lead to higher mortality rates. Predicting crash type for specific road sections can therefore support road safety assessments. This study examines the relationships between geometric road elements at crash sites and identifies key features in crash type classification. Crash data from a 10-year period in 10 central districts of İzmir, Türkiye, were analysed. Among these districts, the three with the highest number of crashes, namely Bornova, Karşıyaka and Konak, were used as geographically distinct test districts, while model training was performed using data from the remaining central districts within each temporal group. Feature importance ranking was conducted using the Extreme Gradient Boosting (XGBoost) method. As the main contribution, we propose Embedding-XGBoost (E-XGB), a novel two-stage dimensionality reduction approach that integrates entity embeddings with XGBoost to improve classification performance. E-XGB enables modelling crash data in a lower-dimensional feature space, allowing predictions with reduced computational effort and robustness against missing data. The superiority of E-XGB was demonstrated by comparing its performance with four machine learning algorithms: XGBoost, support vector machine, K-nearest neighbours and multilayer perceptron. Results show that E-XGB achieves classification performance values, in terms of accuracy, F1-score and precision up to 85.42%, 85.09% and 86.03%, respectively, when 10 features are used.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-24"},"PeriodicalIF":2.0,"publicationDate":"2026-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148151385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Epidemiology of player injuries in Europe's top five professional football leagues: trends, risk factors and economic impact.","authors":"Alessandro Stasi, Andrea Poggio","doi":"10.1080/17457300.2026.2650752","DOIUrl":"10.1080/17457300.2026.2650752","url":null,"abstract":"<p><p>In recent years, professional European football has experienced a substantial increase in player injuries, threatening athlete welfare, team performance and financial sustainability. Utilizing secondary analysis of epidemiological and financial data sets, this study analyses injury patterns, risk factors and economic impacts across the top five European leagues-Premier League, La Liga, Serie A, Bundesliga and Ligue 1-between the 2020/21 and 2023/24 seasons. Drawing on data from UEFA, FIFA and the Howden Group, the findings reveal a 37% increase in total injury incidence and a near-doubling of economic losses, exceeding €730 million in 2023/24 alone. Hamstring and soft-tissue injuries dominate, with young players (U21) showing the steepest rise in severity. Fixture congestion, inadequate recovery time and environmental factors such as surface conditions and travel fatigue are identified as key structural drivers. The findings suggest a need for coordinated governance reforms, including mandatory rest intervals, standardized medical protocols and centralized injury databases. The analysis indicates that sustainable football management should integrate player welfare as an economic and ethical priority to safeguard the sport's long-term integrity.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"299-308"},"PeriodicalIF":2.7,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147640146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ivan Arroyave, Marcela Jimenez-Arango, Edward Mezones-Holguín
{"title":"Reducing homicides and homicide education inequalities: deterrence and negotiation in Colombian security policies over 1999-2017.","authors":"Ivan Arroyave, Marcela Jimenez-Arango, Edward Mezones-Holguín","doi":"10.1080/17457300.2026.2656932","DOIUrl":"10.1080/17457300.2026.2656932","url":null,"abstract":"<p><p>This study examines long-term trends (1999-2017) in homicide rates and socioeconomic disparities in Colombia, a country marked by decades of armed conflict, organized crime and structural inequality. We used national mortality data, applying age-standardized rates, the Relative Index of Inequality (RII) and Joinpoint regression to assess trends and educational disparities. Homicide rates declined substantially for men and women, demonstrating the effectiveness of renewed state capacity and security interventions. However, this macroscopic success was highly uneven: gaps in lethal violence by educational attainment widened for most of the study period, underscoring a critical policy dilemma. These findings show that reductions in homicide did not translate into proportional declines in socioeconomic disparities. Sustainable and equitable violence reduction requires a dual-track strategy combining deterrence and structural equity. Crucially, successful transitions to peace demand the strategic weakening of illegal armed structures be prioritized before, or concurrently with, formal peace negotiations.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"322-334"},"PeriodicalIF":2.7,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147785432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The burden of amputations due to road injuries global, regionally, and nationally, 1990-2021: analysis of data from the 2021 Global Burden of Disease Study.","authors":"Rongcan Liu, Junlong Song, Huan Chen, Jing Xu, Junsheng Zhang, Jingyuan Li, Zhao Wang, Rongkun Chang, Yaokan Zhang, Sang-Hyeok Lee, Chan Kang","doi":"10.1080/17457300.2026.2616823","DOIUrl":"10.1080/17457300.2026.2616823","url":null,"abstract":"<p><p>This study analyzed amputations resulting from road injuries worldwide from 1990 to 2021 using data from the Global Burden of Disease Study 2021. The findings revealed a 39.1% decrease in age-standardized prevalence rates, but the global absolute number of amputations increased by 7.8%, reaching 25.9 million by 2021. While age-standardized incidence and YLD rates declined, notable disparities persisted across regions and socio-demographic indices, with the highest burden observed in Middle and High-middle SDI areas. The burden was disproportionately higher among men, especially those aged 45-79. Projections indicate a rise in the prevalence and YLD rates by 2040, highlighting the need for enhanced road safety, trauma care, and rehabilitation services to address this growing public health issue.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"180-201"},"PeriodicalIF":2.7,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147357070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhengping Tan, Lei Cui, Hao Xu, Jin Xu, Hao Feng, Peng Wang
{"title":"A hybrid machine learning approach for predicting traffic accident collision severity.","authors":"Zhengping Tan, Lei Cui, Hao Xu, Jin Xu, Hao Feng, Peng Wang","doi":"10.1080/17457300.2026.2640066","DOIUrl":"10.1080/17457300.2026.2640066","url":null,"abstract":"<p><p>Accurate prediction of traffic accident severity remains challenging due to feature coupling and class imbalance, which hinder reliable applications in autonomous driving safety systems. This study proposes a Dynamic and Static Cross Entropy Integrated Neural Network (DSCE-INN) to address these issues. Using 857 real-world accident cases from the 2017-2021 China National Automobile Accident In-Depth Investigation System (NAIS), a Weighted Injury Coefficient is developed to enable continuous injury mapping, and K-means clustering reclassifies severity into three levels: property damage only, non-disabling injury, and disabling or fatal injury. Information gain identifies 11 critical features. DSCE-INN employs feature decoupling, transforming the multi-class task into binary sub-models, and introduces a dynamic-static weighted cross-entropy loss to jointly mitigate coupling and imbalance. A soft-hard voting mechanism, combined with L1 regularisation and focal loss, further enhances prediction robustness. Experimental results show accuracies of 0.782, 0.729, and 0.801, significantly outperforming a baseline ANN. Findings demonstrate DSCE-INN's effectiveness and practical value for autonomous driving safety.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"267-281"},"PeriodicalIF":2.7,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147357058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kun Yang, Teik Hua Law, Megat-Usamah Megat-Johari, Qizhou Hu
{"title":"Unveiling the Kuznets curve in elderly road deaths: the impact of economic growth, income inequality and urbanization.","authors":"Kun Yang, Teik Hua Law, Megat-Usamah Megat-Johari, Qizhou Hu","doi":"10.1080/17457300.2026.2616820","DOIUrl":"10.1080/17457300.2026.2616820","url":null,"abstract":"<p><p>Prior research showed a reverse U-shaped or Kuznets curve association between road deaths and income growth. However, no research has linked income growth to elderly road deaths (ERD). This study uses the fixed effects negative binomial panel regression on 82 countries over 30 years to close this gap. Results show a Kuznets curve association between the ERD rate and per capita Real Gross Domestic Product (RGDP). The ERD rate rises with per capita RGDP to a threshold, and then declines as income continues to grow. Additionally, increasing income disparity delays this critical turning point associated with increasing per capita RGDP. This study also reveals a reverse U-shaped association between urbanization (URB) and ERD rate, with ERD rate peaking in countries with diverse traffic conditions and less road choice. Considering economic and demographic changes, this study emphasises the need for ERD rate reduction policies.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"165-179"},"PeriodicalIF":2.7,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146020006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Vulnerable on the road: pedestrians, two-wheelers, and three-wheelers.","authors":"Geetam Tiwari","doi":"10.1080/17457300.2026.2687257","DOIUrl":"10.1080/17457300.2026.2687257","url":null,"abstract":"","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"163-164"},"PeriodicalIF":2.7,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148273366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Enhancing the safety performance of EOT crane operations by integrating VR training and granular safety function deployment.","authors":"Ashish Garg, Krantiraditya Dhalmahapatra, Abhishek Verma, J Maiti","doi":"10.1080/17457300.2026.2630152","DOIUrl":"10.1080/17457300.2026.2630152","url":null,"abstract":"<p><p>This study addresses the hazards and potential damage from using electric overhead traveling (EOT) cranes in industrial environments. It aims to implement and evaluate effective measures to control and mitigate these risks. A novel approach integrates virtual reality (VR), double upper approximated rough number (DUARN), safety function deployment (SFD) and analytic hierarchy process (AHP) principles to assess the effectiveness of risk control systems (RCSs). A three-dimensional VR environment is developed to enhance the effectiveness of safety training for EOT crane operators in a steel manufacturing plant. The study presents a granulated SFD (GSFD) approach that utilizes granular computing to precisely model the uncertainties arising from experts' opinions, particularly EOT crane operators. The uncertainties pertain to hazards, initiating mechanisms (IMs) and associated RCSs identified after VR-based training. The proposed model is a three-stage granular house of safety (HoS) that aims to clarify the connections between hazards, IMs and RCSs. The results show that standard operating procedures (SOPs) are the top intervention, ensuring consistent and safe crane operations, and VR-based safety training (VRST) is crucial for immersive, risk-free hazard recognition. Interlocked protective devices and smart wearable technology can also enhance safety by preventing accidents and monitoring worker health in real-time. This comprehensive approach shows the potential for significant improvements in operational safety, providing an adequate framework for various industrial applications.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"202-218"},"PeriodicalIF":2.7,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147345277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of increase in penalties on alcohol and mobile-use related accidents in India: observations from the report on road accidents in India.","authors":"Deepika Jangra, Arpit Jashwantbhai Parmar, Yashita Ahluwalia, Yatan Pal Singh Balhara","doi":"10.1080/17457300.2026.2635094","DOIUrl":"10.1080/17457300.2026.2635094","url":null,"abstract":"<p><p>The growing number of road accidents in India has been a concern over the years. Alcohol and mobile phone use while driving have been found to be important factors in road injuries. Although legislative changes, like 'The Motor Vehicle (Amendement) Act, 2019', introduced stricter penalties to control dangerous driving behavior, limited evidence exists regarding their real-world impact in low and middle-income countries (LMICs) like India. This study examines the impact of increased penalties on alcohol and mobile-related accidents in India using \"Road Accidents in India\" reports. Accident trends were assessed before and after the implementation of stricter penalties using year-on-year statistical testing for proportion differences. Drunk driving and mobile phone-related violations increased until 2019 but showed a significant decline following the introduction of higher penalties, sustained up until 2021. Findings show that while stricter penalties help, lasting impact depends on consistent enforcement, public awareness, and attitudinal changes toward road safety.</p>","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"219-225"},"PeriodicalIF":2.7,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147327601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}