International Journal of Injury Control and Safety Promotion最新文献_第2页

Identifying factors affecting crash injury severity of pillion riders using interpretable machine learning techniques. 使用可解释的机器学习技术识别影响坐骑碰撞损伤严重程度的因素。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-06-01 Epub Date: 2025-05-10 DOI: 10.1080/17457300.2025.2501573

Anju K Panicker, Gitakrishnan Ramadurai

{"title":"Identifying factors affecting crash injury severity of pillion riders using interpretable machine learning techniques.","authors":"Anju K Panicker, Gitakrishnan Ramadurai","doi":"10.1080/17457300.2025.2501573","DOIUrl":"10.1080/17457300.2025.2501573","url":null,"abstract":"In India, motorized two-wheeler (TW) riders account for 44.5% of fatal road crashes. While factors affecting drivers have been studied, research on pillion riders' injury severity remains limited. The study aims to identify factors causing severe injuries to pillion riders by developing an accurate prediction model. The study includes machine learning (ML) models, such as conditional inference tree, random forest (RF), gradient boosting, support vector machine, and a statistical model ordered probit for comparison. The study accounts for the imbalance in injury severity crash data by adopting data balancing techniques. Also, it recommends a combination of ML techniques, variable importance charts, and individual conditional expectation plots for identifying key variables and their effects. The finding suggests that RF trained in up-sampled data performs better than the remaining models. The presence of a central divider on the road reduces fatal injuries to pillion riders. The likelihood of getting severe injury is higher during nighttime crashes, TW-HMV (truck or bus) collisions, and hit-and-run crash cases where the colliding vehicle is unidentified. Older pillion riders are more vulnerable to sustaining fatal injuries in a crash. Crashes involving TWs hitting stationary objects and skidding are more fatal for pillion riders than other collision types.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"290-302"},"PeriodicalIF":2.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144053992","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}

引用次数: 0

Pickup truck crash severity analysis via machine learning: policy insights for developing countries. 基于机器学习的皮卡碰撞严重程度分析：发展中国家的政策见解。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-06-01 Epub Date: 2025-05-14 DOI: 10.1080/17457300.2025.2504975

Chamroeun Se, Thanapong Champahom, Sajjakaj Jomnonkwao, Tassana Boonyoo, Ampol Karoonsoontawong, Vatanavongs Ratanavaraha

{"title":"Pickup truck crash severity analysis via machine learning: policy insights for developing countries.","authors":"Chamroeun Se, Thanapong Champahom, Sajjakaj Jomnonkwao, Tassana Boonyoo, Ampol Karoonsoontawong, Vatanavongs Ratanavaraha","doi":"10.1080/17457300.2025.2504975","DOIUrl":"10.1080/17457300.2025.2504975","url":null,"abstract":"This study pursues two complementary objectives: first, evaluating machine learning approaches for crash severity prediction to address methodological gaps in pickup truck crash analysis; second, systematically comparing single- versus multi-vehicle crash outcomes to understand distinct risk factors. Using Thailand crash data, the research compares Logistic Regression, Random Forest, XGBoost, and Deep Neural Network models, optimized with K-fold cross-validation and Bayesian Optimization, with SHAP employed for model interpretability. Results demonstrate that model performance varies significantly with injury classification schemes: XGBoost performed best for multiclass injury classification in both crash types, while Random Forest and Deep Neural Networks excelled in binary classification for single- and multi-vehicle crashes, respectively. The methodological analysis reveals the importance of both model selection and classification scheme in achieving optimal predictive performance. When applied to analyze crash factors, the models identified that both crash types are influenced by 4-lane roads, unlit roads, and barriers. Severity in single-vehicle crashes increases with fatigue, 2-lane roads, intra-province highways, and long holidays; in multi-vehicle crashes, severity is influenced by involvement of motorcycles or trucks, head-on collisions, and specific times of day. Factors reducing severity in single-vehicle crashes-such as concrete roads, defective vehicles, and hitting guardrails-do not significantly affect multi-vehicle crashes.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"303-323"},"PeriodicalIF":2.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144081356","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}

引用次数: 0

A systematic literature review on road safety management: land use, budget and legislation. 道路安全管理的系统文献综述：土地使用、预算和立法。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-06-01 Epub Date: 2025-05-16 DOI: 10.1080/17457300.2025.2505738

Rahul Narayan, K Jayakesh

{"title":"A systematic literature review on road safety management: land use, budget and legislation.","authors":"Rahul Narayan, K Jayakesh","doi":"10.1080/17457300.2025.2505738","DOIUrl":"10.1080/17457300.2025.2505738","url":null,"abstract":"Road safety is a significant developmental delinquent, an issue of public health, and a major global cause of demise and injury. Several research and review articles were focused on road safety concerning road characteristics, vehicle characteristics, and environment. However, a review article concerning land use, budget, and legislation towards road safety needs to be included. The present study reviewed literatures and reports on road safety concerning land use, budget, and legislation. The method used for review was \"Preferred reporting items for systematic reviews and meta-analyses (PRISMA)\". Initially, the paper discussed the impact of accidents concerning land use. The parameters such as crash type, crash cause, crash severity, traffic violation, infrastructural risk, operational hours, Traffic analysis Zone (TAZ) level crashes, on -network factors and medical service response were influenced by land use. Commercial area was more inclined to risk than other land use types. Later, budget section was examined, and it revealed that fuel subsidies, cost-effective strategies, and advertising budgets had a notable impact on reducing crashes. Road safety budget allocation strategies were impacted by significant parameter such as policy scenario and the performance indicator. Over 50% of road crash costs were related to injuries, while 10% of accident costs were related to delays. Indexes of road safety were reliant on budget. The study concluded by discussing the impact of legislation- changes to the traffic laws were successful in reduction of crashes, however, formulation of laws might or might not be successful in lowering casualities. Furthermore, \"being aware of the laws\" reduced collisions, as well public was persuaded in formulation of law for road safety. Finally, examination of three factors such as land use, budget, and legislation-found an incredible impact on road safety.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"324-341"},"PeriodicalIF":2.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144081355","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}

引用次数: 0

Exploring behavior shifts and sample selectivity issues among speeding single-vehicle crash-injury severities before-and-after the stay-at-home order. 探索行为转变和样本选择性问题超速单车辆碰撞伤害严重程度之前和之后的居家命令。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-06-01 Epub Date: 2025-04-28 DOI: 10.1080/17457300.2025.2496346

Li Song, Yixuan Lin, Guojun Chen, Xin Zhao, Xuequan Zhang, Wei David Fan

{"title":"Exploring behavior shifts and sample selectivity issues among speeding single-vehicle crash-injury severities before-and-after the stay-at-home order.","authors":"Li Song, Yixuan Lin, Guojun Chen, Xin Zhao, Xuequan Zhang, Wei David Fan","doi":"10.1080/17457300.2025.2496346","DOIUrl":"10.1080/17457300.2025.2496346","url":null,"abstract":"This study systematically explores the cause of the increase in single-vehicle speeding crash injury severities in California during and after the stay-at-home order. 27,696 speeding crashes on both highways and non-highways before-and-after the order are selected from the California Highway Patrol system. Specific countermeasures and implications of heterogeneity in means and variances are analyzed based on marginal effects. Out-of-sample simulations are employed to address two fundamental causes of the rise in injury severities: a shift in driver behaviors and the overrepresentation of riskier drivers. Results indicate that a shift towards more aggressive driving behaviors is the main reason for the increments of injury severities on highways after the order. The overrepresentation of riskier drivers is identified as the main cause during the order (both roadways) and on non-highways after the order. Since the predicted proportions on non-highway models before and during the order are closer compared to highways, this further suggests that local drivers are more inclined to violate the restriction and travel within neighborhoods during the order, which could contribute to the selectivity of riskier drivers. The findings of behavior shifts and sample selectivity issues provide valuable insights for future stay-at-home order practice, restriction improvement, and complementary policy development.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"249-261"},"PeriodicalIF":2.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144040781","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}

引用次数: 0

Clinical outcomes of patients with crush syndrome in the Kahramanmaras earthquake. Kahramanmaras地震中挤压综合征患者的临床结局。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-06-01 Epub Date: 2025-04-03 DOI: 10.1080/17457300.2025.2488040

Umit Cakmak, Suleyman Akkaya, Ramazan Danis, Enver Yuksel, Jehat Kilic, Ozgur Merhametsiz

引用次数: 0

Bayesian networks for identifying causal effects of factors on crash injury severity at signalized intersections. 贝叶斯网络识别信号交叉口碰撞损伤严重程度因素的因果关系。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-06-01 Epub Date: 2025-04-30 DOI: 10.1080/17457300.2025.2495141

Qianwei Xuan, Guopeng Zhang, Shuwu Wei, Kun Li

{"title":"Bayesian networks for identifying causal effects of factors on crash injury severity at signalized intersections.","authors":"Qianwei Xuan, Guopeng Zhang, Shuwu Wei, Kun Li","doi":"10.1080/17457300.2025.2495141","DOIUrl":"10.1080/17457300.2025.2495141","url":null,"abstract":"Signalized intersections are the areas where traffic crashes with severe injuries frequently happen. Although existing studies have explored the factors affecting crash injury severity at signalized intersections, intricate causal relationships between factors often fail to be captured. Thus, usage of Bayesian network reveals factors contributing to injury severity and the causal relationships between them, with the use of crash data extracted from the Crash Report Sampling System in 2021. The K2 algorithm and Expectation-Maximization algorithms are adopted for structure learning and parameter learning in Bayesian networks, respectively. The results indicate that 1) factors such as speeding, drunk driving, and use of airbags can significantly affect the injury severity, 2) causal relationships exist between distraction, running the red signal, collision type, and crash injury severity, and 3) compared to the random parameter logit model and random forest, Bayesian network has better accuracy in predicting the crash injury severity. The findings can serve to propose effective traffic safety intervention measures to reduce the injury severity of crashes at signalized intersections.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"230-238"},"PeriodicalIF":2.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144040719","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}

引用次数: 0

Exploring the speeding behavior among young motorcyclists in Lahore using extended theory of planned behavior: insights for road safety improvements. 利用扩展计划行为理论探索拉合尔年轻摩托车手的超速行为：改善道路安全的见解。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-06-01 Epub Date: 2025-06-04 DOI: 10.1080/17457300.2025.2501572

Nazam Ali, Muhammad Ashraf Javid, Charitha Dias, Muhammad Abdullah

{"title":"Exploring the speeding behavior among young motorcyclists in Lahore using extended theory of planned behavior: insights for road safety improvements.","authors":"Nazam Ali, Muhammad Ashraf Javid, Charitha Dias, Muhammad Abdullah","doi":"10.1080/17457300.2025.2501572","DOIUrl":"10.1080/17457300.2025.2501572","url":null,"abstract":"Motorcycles are a popular low-cost personal transport mode. Despite their convenience, motorcycles are significantly more dangerous than other modes of transport, accounting for up to 39% of road fatalities in low-income countries. Speeding is among the most common factors causing road accidents. Thus, this research extends the theory of planned behavior to investigate young motorcyclists' speeding behavior by incorporating the latent variables of hedonic motivation and transport policy interventions using data collected through a questionnaire survey conducted among young motorcyclists in Lahore, Pakistan. Purpose-based sampling method was deployed to collect 394 responses. The results indicated that speeding attitudes (SA), perceived behavioral control (PBC), hedonic motivation (HM), and policy intervention (PI) variables are strong predictors of speeding intentions (SI), which act as a mediator of speeding behavior (SB). While HM positively affects SB, and the PI variable negatively influences SB. Moreover, unmarried and employed respondents are positively associated with SB. This research has provided important insights on how to improve young motorcyclists' safe behavior, which can be utilized by policymakers to make informed decisions to enhance road safety in Pakistan and other developing economies with similar socio-economic dynamics, with motorcycles as a popular low-cost personal travel mode.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"277-289"},"PeriodicalIF":2.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144217278","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}

引用次数: 0

Assessing the impact of demographic and contextual factors on cyclist safety at midblock locations and intersections. 评估人口和环境因素对街区中间位置和十字路口骑自行车者安全的影响。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-06-01 Epub Date: 2025-05-19 DOI: 10.1080/17457300.2025.2501559

Puteri Intan Solha Salim, Rusdi Rusli, Sharifah Allyana Syed Mohamed Rahim, Jezan Md Diah

{"title":"Assessing the impact of demographic and contextual factors on cyclist safety at midblock locations and intersections.","authors":"Puteri Intan Solha Salim, Rusdi Rusli, Sharifah Allyana Syed Mohamed Rahim, Jezan Md Diah","doi":"10.1080/17457300.2025.2501559","DOIUrl":"10.1080/17457300.2025.2501559","url":null,"abstract":"Cyclist crashes are a growing concern in Malaysia due to cyclists' vulnerability and infrastructural risks. This study identifies demographic and contextual factors influencing risky cyclist behaviours in Kuala Lumpur, Cyberjaya, and Shah Alam, focusing on helmet non-use, reflective clothes non-use, light non-use, riding two abreast, and riding outside designated lanes. Field observations (2,665) were conducted at midblock and intersection locations. Results show helmet non-use is more common during morning peak hours, among road bike users, in parks, and on weekends. Riding two abreast is frequent on weekdays and less common among female cyclists. Riding outside designated lanes increases during rainy conditions and in areas without street parking, but decreases on weekdays, during recreational activities, and in parks. At intersections, helmet non-use is prevalent during morning peak hours, among mountain and road bike users, and during recreational activities. These findings can inform targeted interventions like awareness programs, infrastructure improvements, policy enforcement, and promoting safety gear to enhance cyclist safety in Malaysia.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"262-276"},"PeriodicalIF":2.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144095413","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}

引用次数: 0

Effectiveness of IRAP at reducing road traffic injuries: urgent need for research on what works in road design in LMICs. IRAP 在减少道路交通伤害方面的效果：迫切需要研究在低收入和中等收入国家的道路设计中什么是有效的。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-06-01 Epub Date: 2025-04-04 DOI: 10.1080/17457300.2025.2488043

引用次数: 0

An analysis of occupational illness and injuries of the industrial workers in slums. 贫民窟产业工人职业病与工伤分析。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-04-06 DOI: 10.1080/17457300.2025.2486618

Shashwati Banerjee, Kishor Goswami

{"title":"An analysis of occupational illness and injuries of the industrial workers in slums.","authors":"Shashwati Banerjee, Kishor Goswami","doi":"10.1080/17457300.2025.2486618","DOIUrl":"https://doi.org/10.1080/17457300.2025.2486618","url":null,"abstract":"The achievement of Sustainable Development Goals 3 (Good Health and Well-Being) and 8 (Decent Work and Economic Growth) requires addressing the occupational health challenges and unsafe working conditions faced by industrial workers in slums, particularly migrant laborers lacking adequate training and literacy. This study examines health challenges among 320 slum-dwelling workers across 17 industries in West Bengal, categorized into civil/mechanical, textile, consumable, and chemical sectors. employed across 17 industries in West Bengal, categorized into civil/mechanical, textile, consumable, and chemical sectors. Using multi-stage random sampling, findings reveal that chronic illnesses are more prevalent in textile and consumable industries, while acute injuries dominate civil/mechanical and chemical sectors due to hazardous conditions. It may create a significant financial burden exacerbated by the absence of sick leave or insurance benefits. The study underscores the urgent need for industry-specific interventions, including accessible healthcare, safety training, and comprehensive insurance schemes. .","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-10"},"PeriodicalIF":2.3,"publicationDate":"2025-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143796714","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}

引用次数: 0