Factors associated with under- fives unintentional injuries in Kgalagadi South, Botswana [0.03%]
博茨瓦纳库加拉迪南五岁以下儿童意外伤害的相关因素分析
Pauline Kerapetse Senabye,Xihua Zeng
Pauline Kerapetse Senabye
The study determined the prevalence and factors associated with unintentional injuries among under- fives in Kgalagadi South. A descriptive cross- sectional study was conducted between November 2020 and February 2021 using a multi- stage sa...
Srishti Agrawal,Sumit Bilam,Geetam Tiwari et al.
Srishti Agrawal et al.
There is a lack of research that investigates the risk factors of cycling in low- and middle-income countries. We present descriptive epidemiology of crashes that involved at least one fatal cyclist, over a three-year period (2016-2018) in ...
Injury severity analysis of e-bike riders in China based on the in-vehicle recording video crash data: a random parameter ordered logit model [0.03%]
基于车辆记录视频碰撞数据的中国电动自行车骑行人伤害严重程度分析：随机参数有序logit模型
Changshuai Wang,Yongcheng Shao,Fei Ye et al.
Changshuai Wang et al.
This study investigates the impacts of various factors on e-bike riders' injury severity in crashes with motor vehicles, based on the in-vehicle recording video crash data in China. Variables from human factors, vehicle characteristics, roa...
Home injuries in British Columbia: patterns across the deprivation spectrum [0.03%]
加拿大不列颠哥伦比亚的家庭伤害：贫困范围广泛地区的分布特征分析
Umerdad Khudadad,Mojgan Karbakhsh,Anita Yau et al.
Umerdad Khudadad et al.
The significant burden of home injuries has become a growing concern that affect thousands of people every year across Canada. This study examined the relationship between neighbourhood deprivation and unintentional injuries occurring at ho...
Advancing youth transportation safety in North Carolina through addressing alcohol-related motor vehicle collisions [0.03%]
通过解决与酒精相关的机动车碰撞来推进北卡罗来纳州青年交通安全
Lucas W Ashley,Arden J Vessie,Taylor B Stamey et al.
Lucas W Ashley et al.
The aim of this work is to analyze trends in youth transportation fatalities and injuries in North Carolina (NC), assess the implementation of ignition interlock devices (IIDs) in the United States and abroad, discuss policy implications fo...
Interpretable machine learning for evaluating risk factors of freeway crash severity [0.03%]
可解释机器学习在评估高速公路事故严重性影响因素中的应用
Seyed Alireza Samerei,Kayvan Aghabayk
Seyed Alireza Samerei
Machine learning (ML) models are widely employed for crash severity modelling, yet their interpretability remains underexplored. Interpretation is crucial for comprehending ML results and aiding informed decision-making. This study aims to ...
Impact of urban form and street infrastructure on pedestrian-motorist collisions [0.03%]
城市形态和街道基础设施对人车碰撞的影响
Taylor Foreman,Meimei Lin,Wei Tu et al.
Taylor Foreman et al.
This study examines the impact of urban form and street infrastructure on pedestrian safety in Atlanta, Georgia, and Boston, Massachusetts. With a significant rise in pedestrian fatalities over the past decade, understanding how cities' bui...
Bivariate ordered probit modelling of motorcycle riders and pillion passengers' injury severities relationship and associated risk factors [0.03%]
摩托车骑手和后座乘客的伤情严重程度及其相关危险因素的二元有序概率模型分析
Mohammed A Yakubu,Eric N Aidoo,Richard T Ampofo et al.
Mohammed A Yakubu et al.
This study simultaneously modelled the injury severity of motorcycle riders and their pillion passengers and determine the associated risk factors. The analysis is based on motorcycle crashes data in Ashanti region of Ghana spanning from 20...
Factors affecting the intention to wear helmets for e-bike riders: the case of Chinese college students [0.03%]
影响电动自行车骑行者佩戴头盔意愿的因素——以中国大学生为例
Ying Yang,Chun Li,Kun Cheng et al.
Ying Yang et al.
As the popularity of electric bicycles (e-bikes) continues to surge, the number of accidents involving them has commensurately increased. A significant factor contributing to the high fatality rate in these accidents is the low usage of hel...