International Journal of Injury Control and Safety Promotion最新文献_第9页

Traffic safety analysis using long-term accident record for merging and diverging section in Ethiopian Toll road expressway. 埃塞俄比亚收费高速公路合流分流路段长期事故记录交通安全分析

IF 2 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-09-01 Epub Date: 2025-08-06 DOI: 10.1080/17457300.2025.2534708

Gemechu Mose, Tanaka Shinji, Matsuyuki Mihoko, Abe Ryosuke

{"title":"Traffic safety analysis using long-term accident record for merging and diverging section in Ethiopian Toll road expressway.","authors":"Gemechu Mose, Tanaka Shinji, Matsuyuki Mihoko, Abe Ryosuke","doi":"10.1080/17457300.2025.2534708","DOIUrl":"10.1080/17457300.2025.2534708","url":null,"abstract":"Traffic disruptions (including frequent and abrupt lane changes in critical merging, diverging and overtaking zones) often result in expressway accidents. This study analysed crash data from the Ethiopian Toll Road Enterprise (2015-2022) using statistical and multinomial logistic regression models to identify high-risk crash locations, assess the severity and investigate the contributing factors in key merging and diverging sections. The analysis considered risk factors such as driver behaviour, traffic patterns, vehicle types, road conditions and lighting. The results indicated a 22.5% increase in accidents on wet pavements compared to dry surfaces across the entire length of the expressway, for a 2.04% increase in traffic volume. Fatalities and severe injuries were more frequent in the merging areas. Over 308 days of rainy weather across 8 years, accidents in the merging and diverging zones were 9.24% more likely to occur on wet roads than on dry surfaces. These observations highlight the increased accident risk caused by frequent and abrupt lane changes under wet conditions, emphasizing the need for improved safety measures in critical areas.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"418-431"},"PeriodicalIF":2.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144790377","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

Analysis of risk factors for DUI and DWI crashes considering the built environment. 考虑建筑环境的酒后驾车和酒后驾车撞车危险因素分析。

IF 2 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-09-01 Epub Date: 2025-08-05 DOI: 10.1080/17457300.2025.2541659

Wenhui Qin, Shaohua Wang, Xin Gu, Hubin Yan, Zhen He, Jiafeng Zhang

{"title":"Analysis of risk factors for DUI and DWI crashes considering the built environment.","authors":"Wenhui Qin, Shaohua Wang, Xin Gu, Hubin Yan, Zhen He, Jiafeng Zhang","doi":"10.1080/17457300.2025.2541659","DOIUrl":"10.1080/17457300.2025.2541659","url":null,"abstract":"The risk level of alcohol-involved traffic crashes is closely related to alcohol consumption. However, research on different influencing factors for DUI (Driving Under Influence) and DWI (Driving While Intoxicated) remains limited. This study analyzed data from 3,365 alcohol-related traffic crashes in Tianjin, China. The crashes were categorized into DUI and DWI based on drivers' Blood Alcohol Concentration. Four machine learning models were enhanced and compared. The accuracy, precision, recall and F1-score were used to evaluate the performance of the models. Shapley additive explanations were used to interpret model outputs and quantify risk factors and interaction effects on DUI and DWI crashes. The enhanced CatBoost model performed the best, with an AUC-ROC value of 0.953. The time period of crashes, intersection control or not, and the density of companies were identified as significant factors affecting DUI and DWI crashes. Interaction analysis indicated that drivers aged between 40 and 50 had a higher risk of DWI in areas with high intersection density; two-wheeled motorcycle riders exhibited higher DWI risk compared to car drivers between 21:00 and 24:00. These findings provide valuable insights for the traffic management department to implement targeted and refined control measures for DUI and DWI violations.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"474-488"},"PeriodicalIF":2.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144785621","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

Injury patterns in a national cohort of summer camps: insights for prevention efforts. 国家夏令营队列中的伤害模式：预防工作的见解。

IF 2 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-09-01 Epub Date: 2025-08-04 DOI: 10.1080/17457300.2025.2537682

Carissa M Bunke, Emma Kilbane, Erin Kim, Ruoer Bei, James A Cranford, Barry Garst, Tracey Gaslin, Allison Cator, Nicholas Ronnei, Chris Kempton, Michael Ambrose, Andrew N Hashikawa

{"title":"Injury patterns in a national cohort of summer camps: insights for prevention efforts.","authors":"Carissa M Bunke, Emma Kilbane, Erin Kim, Ruoer Bei, James A Cranford, Barry Garst, Tracey Gaslin, Allison Cator, Nicholas Ronnei, Chris Kempton, Michael Ambrose, Andrew N Hashikawa","doi":"10.1080/17457300.2025.2537682","DOIUrl":"10.1080/17457300.2025.2537682","url":null,"abstract":"Introduction: Fourteen million children participate in summer camps annually, yet injury data for these settings remain outdated. Our study aimed to modernize camp injury data collection by leveraging an electronic national camp-specific database to analyze the epidemiology of camp-related injuries. Methods: Deidentified data from 89 residential summer camps (2016-2019) were abstracted. Descriptive statistics and multivariable logistic regression analysis were used to determine injury rates and identify risk factors. Results: We identified 13,934 injuries, with an injury rate of 575 injuries per 100,000 camp-days. Common injuries were lacerations/abrasions (37.6%), sprains/strains (27.8%), and head injury/concussions (14.1%). Lower and upper extremity injuries (49.4% and 25.7% respectively) were common. 2.6% (n = 363) of injuries required a higher level of medical care. Older age (adjusted odds ratio [AOR] = 1.2, 95% confidence interval [CI]: 1.1-1.2), male sex (AOR = 1.4, 95% CI: 1.1-1.9), upper extremity injuries (AOR = 3.0, 95% CI: 1.5-6.0), and injuries to head/face (AOR = 2.1, 95% CI: 1.0-4.4) had significantly higher odds of moderate or severe injury. Conclusion: Our study found a higher injury rate than previous research, reflecting the enhanced data collection made possible by utilizing a camp-specific database. Capturing a broad spectrum of injuries provides insights to guide camp stakeholders in developing tailored, data-informed injury prevention strategies.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"432-438"},"PeriodicalIF":2.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144785622","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

Safety risk assessment for intersection rear-end conflicts based on collision risk force indicator. 基于碰撞风险力指标的交叉口追尾安全风险评估。

IF 2 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-09-01 Epub Date: 2025-06-13 DOI: 10.1080/17457300.2025.2512487

Chengkun Liu, Tao Wang, Shiyi Chen, Jun Chen, Chen Wang

{"title":"Safety risk assessment for intersection rear-end conflicts based on collision risk force indicator.","authors":"Chengkun Liu, Tao Wang, Shiyi Chen, Jun Chen, Chen Wang","doi":"10.1080/17457300.2025.2512487","DOIUrl":"10.1080/17457300.2025.2512487","url":null,"abstract":"This study introduces a novel method for assessing the risk of rear-end conflicts based on collision risk force indicator. Drawing on the theory of road user safety fields, we construct a collision risk force indicator tailored for rear-end conflict scenarios. By analyzing the impact of driver attributes and vehicle features on risk force, as well as key road environmental factors influencing rear-end accidents, we propose a specific calibration method for the collision risk force indicator. This is further refined using historical accident data for parameter calibration. We then employ the Peak-Over-Threshold (POT) model and utilize the collision risk force values as input indicator to predict the annual average accident frequency. As a case study, we select intersections in Guilin City and extract vehicle trajectory information. The calibrated collision risk force method is applied to obtain accident prediction values for the intersections. The results demonstrate that the predicted annual frequency of rear-end accidents, based on the collision risk force indicator, aligns with the 95% Poisson confidence interval of actual accidents, validating the accuracy of our research method. The calibrated collision risk force indicator serves as a non-accident indicator for evaluating the safety risks of rear-end conflicts at intersections.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"345-359"},"PeriodicalIF":2.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144286808","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

Road injuries to pedestrians and cyclists in the Chinese mainland a scoping review of national policies from 2003 to 2023. 中国大陆行人和骑自行车者的道路伤害：2003 - 2023年国家政策的范围审查。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-06-01 Epub Date: 2025-04-26 DOI: 10.1080/17457300.2025.2496343

Ya Gao, Siqing Zhang, Zhongxiang Feng, Ye Jin, Pengpeng Ye, Haozhe Cong, Julie Brown

引用次数: 0

Analyzing key determinants of pedestrian risky behaviors at urban signalized intersections: insights from Kolkata City, India. 分析城市信号交叉口行人危险行为的关键决定因素：来自印度加尔各答市的见解。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-06-01 Epub Date: 2025-04-23 DOI: 10.1080/17457300.2025.2494213

Dipanjan Mukherjee

{"title":"Analyzing key determinants of pedestrian risky behaviors at urban signalized intersections: insights from Kolkata City, India.","authors":"Dipanjan Mukherjee","doi":"10.1080/17457300.2025.2494213","DOIUrl":"10.1080/17457300.2025.2494213","url":null,"abstract":"Risky pedestrian behaviors, such as signal violations, crossing from undesignated points, walking on the main carriageway instead of footpaths, and waiting at undesignated locations for buses, contribute to a significant number of pedestrian-vehicular collisions at urban signalized junctions in Indian cities. Therefore, identifying the factors influencing risky pedestrian behavior is crucial in urban India. A total of 59,409 pedestrians' road-using behavior was analyzed using video surveillance, complemented by on-site questionnaire responses from 3840 pedestrians regarding their risk perception, self-reported behaviors, and knowledge of traffic rules. Binary and ordered logit models were employed to assess the impact of the built environment, sociodemographic factors, and traffic enforcement on unsafe pedestrian actions. Results reveal a strong association between unsafe behavior and commercial zones, with young males more prone to signal violations and unsafe crossings. Further, poor lighting, inaccessible zebra crossings, on-street parking, lack of enforcement, and longer waiting times influence the likelihood of signal violations. A 1% increase in footpath encroachment by street vendors leads to an 18% rise in footpath underutilization. The lack of essential amenities and poor accessibility at bus stops discourages pedestrians from waiting at designated locations. Low educational levels and limited awareness of traffic rules exacerbate unsafe behaviors.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"201-229"},"PeriodicalIF":2.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144065012","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

Learning from historical evidence to move forward in safety research: systematic reviews and vulnerable road users. 从历史证据中吸取教训，推进安全研究：系统审查和弱势道路使用者。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-06-01 Epub Date: 2025-06-19 DOI: 10.1080/17457300.2025.2518675

Geetam Tiwari

引用次数: 0

Socio-cultural context of road safety in youth: a scoping review. 青年道路安全的社会文化背景：范围审查。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-06-01 Epub Date: 2025-04-17 DOI: 10.1080/17457300.2025.2487640

Nino Paichadze, Venkatesh Pandey, Imran Bari, Abdullah Tauqeer, Jesús Monclús, Adnan A Hyder

引用次数: 0

Surrogate safety assessment in heterogeneous traffic environment prevailing in developing countries: a systematic literature review. 发展中国家普遍存在的异质性交通环境中的替代安全评估：系统的文献综述。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-06-01 Epub Date: 2025-04-25 DOI: 10.1080/17457300.2025.2494209

Ashutosh Kumar, Abhisek Mudgal

{"title":"Surrogate safety assessment in heterogeneous traffic environment prevailing in developing countries: a systematic literature review.","authors":"Ashutosh Kumar, Abhisek Mudgal","doi":"10.1080/17457300.2025.2494209","DOIUrl":"10.1080/17457300.2025.2494209","url":null,"abstract":"Surrogate safety measures (SSMs) are widely used for proactive road safety assessments, reducing reliance on crash data. Despite their potential utility amid escalating road fatalities and lack of good quality crash data in developing countries, SSMs have been predominantly applied in developed countries, where traffic streams are homogeneous, and strict lane discipline is followed. In contrast, traffic in many developing countries (e.g. China and India) is characterized by vehicular heterogeneity and multi-vehicle interactions due to non-lane-based movements. This paper provides a systematic review of 102 peer-reviewed studies in developing countries focusing on vehicular conflicts in traffic streams with heterogeneous vehicle composition and disorderly movement. This review highlights the salient features and challenges associated with SSMs-based safety assessment in developing countries and outlines potential directions for future research. It examines data collection techniques, sample sizes, and the suitability of various conflict indicators for non-lane-based traffic. Additionally, the impact of vehicular heterogeneity on conflict modeling is analyzed. A detailed discussion of conflict segregation methodologies, threshold selection techniques, and modeling frameworks is provided. This review will likely assist in developing more efficient conflict-based safety assessment techniques in heterogeneous traffic, contributing to improved road safety in developing countries.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"182-200"},"PeriodicalIF":2.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144053778","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

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