Exploring behavior shifts and sample selectivity issues among speeding single-vehicle crash-injury severities before-and-after the stay-at-home order [0.03%]
新冠肺炎居家隔离令前后单车辆碰撞伤害严重程度的行为变化及样本选择性问题探究
Li Song,Yixuan Lin,Guojun Chen et al.
Li Song et al.
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-afte...
Road injuries to pedestrians and cyclists in mainland China: a scoping review of national policies from 2003 to 2023 [0.03%]
2003至2023年中华人民共和国行人及骑行者道路伤害的政策综述
Ya Gao,Siqing Zhang,Zhongxiang Feng et al.
Ya Gao et al.
Walking and cycling play crucial roles in reducing obesity and promoting health. However, pedestrians and cyclists are vulnerable road users, highlighting the need to implement policies to protect them. This study aimed to provide a systema...
Surrogate safety assessment in heterogeneous traffic environment prevailing in developing countries: a systematic literature review [0.03%]
发展中国家异质交通环境下的交通代理安全评估：系统性文献回顾
Ashutosh Kumar,Abhisek Mudgal
Ashutosh Kumar
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 count...
Analyzing key determinants of pedestrian risky behaviors at urban signalized intersections: insights from Kolkata City, India [0.03%]
印度加尔各答城市信号交叉路口行人冒险行为的关键决定因素分析
Dipanjan Mukherjee
Dipanjan Mukherjee
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 pedestria...
Renew global partnerships for addressing the risk to vulnerable road users and strengthening research institutions [0.03%]
重塑全球伙伴关系，关注易受害道路使用者群体并加强研究机构建设
Geetam Tiwari
Geetam Tiwari
Nino Paichadze,Venkatesh Pandey,Imran Bari et al.
Nino Paichadze et al.
Road traffic injuries (RTIs) are a leading cause of death globally, disproportionately affecting youth in low- and middle-income countries (LMICs). While behavioral factors significantly contribute to RTIs, the role of socio-cultural norms ...
Utilizing machine learning and geographic analysis to improve Post-crash traffic injury management and emergency response systems [0.03%]
利用机器学习和地理分析改善交通事故后损伤管理及应急反应系统
Boonsak Hanterdsith
Boonsak Hanterdsith
Traffic injuries are a major public health concern globally. This study uses machine learning (ML) and geographic analysis to analyse road traffic fatalities and improve traffic safety in Nakhon Ratchasima Province, Thailand. Data on road t...
Examining fatal and non-fatal injuries of drivers in single-vehicle-involved crashes on urban roadways using random parameter logit model [0.03%]
基于随机参数逻辑模型的城市道路单方交通事故中驾驶员伤亡分析方法研究
Charles Atombo,Raymond Akuh,Richard Fiifi Turkson et al.
Charles Atombo et al.
Urban areas significantly impact crash injury severity due to high traffic density and complex road patterns. This study analysed factors influencing fatal and non-fatal injuries in single-vehicle crashes on urban roads in Ghana from 2017 t...
Stacking models for analyzing traffic injury severity on two-lane, two-way rural roads [0.03%]
基于双车道双向公路的交通伤情严重程度分析模型堆叠方法研究
Ali Tavakoli Kashani,Parsa Soleyman Farahani,Hamzeh Mansouri Kargar
Ali Tavakoli Kashani
The analysis of injury severity in accidents allows traffic management agencies to assess crash risk more effectively and develop cost-effective interventions. The aim of this research is to present a two-layer stacking model as a means of ...
An analysis of occupational illness and injuries of the industrial workers in slums [0.03%]
贫民窟工业工人职业病和工伤分析
Shashwati Banerjee,Kishor Goswami
Shashwati Banerjee
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 slum...