Analysis of risk factors for DUI and DWI crashes considering the built environment [0.03%]
基于建成环境的酒驾与醉驾风险因素分析
Wenhui Qin,Shaohua Wang,Xin Gu et al.
Wenhui Qin et al.
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 stu...
Injury patterns in a national cohort of summer camps: insights for prevention efforts [0.03%]
全国夏令营伤害模式的流行病学研究及预防措施建议
Carissa M Bunke,Emma Kilbane,Erin Kim et al.
Carissa M Bunke et al.
Introduction: Fourteen million children participate in summer camps annually, yet injury data for these settings remain outdated.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 da...
Forecasting road traffic accidents in India: a SARIMAX approach incorporating COVID-19 effects [0.03%]
基于SARIMAX方法的印度道路交通事故预测及新冠肺炎影响分析
Sanjay Kumar Singh,Vijay Lakshmi Singh
Sanjay Kumar Singh
Road traffic accidents (RTAs) remain a significant public health challenge in India, causing substantial fatalities, injuries, and economic losses. Despite global improvements in road safety, India's performance has been subpar, accounting ...
A new data-driven model for vehicle and pedestrian safety: statistical approach based on spatial decision-making [0.03%]
一种新的车行人安全数据驱动模型：基于空间决策制定的统计方法
Nuriye Kabakuş,Ömer Kaya
Nuriye Kabakuş
Minimizing the losses that occur after traffic accidents is a primary duty for all humanity. To do so, it is necessary to examine and analyse the potential risk factors that affect the severity of traffic accidents. In this article, a new s...
Systematic review and meta-analysis exploring safety performance measures of work zone [0.03%]
关于施工区域安全性能衡量的系统回顾与元分析研究
Faijan Ali Ansari,Agnivesh Pani,Simon Oh et al.
Faijan Ali Ansari et al.
Work zones are widely recognized as major contributors to road fatalities and traffic congestion. Although extensive research has explored the relationship between work zone crashes and contributing factors, a comprehensive systematic revie...
The factors related to the prevention of fall injuries among students in primary schools using the PRECEDE model [0.03%]
利用PRECEDE模型分析影响小学生防跌倒伤害行为的相关因素
Seyedeh Sahar Memari,Maryam Afshari,Ghodratollah Roshanaei et al.
Seyedeh Sahar Memari et al.
Falls are considered one of the important causes of injuries and fatalities among children and adolescents. Students are continuously exposed to the risks of falls, in the school environment. Therefore, a thorough examination of student beh...
Are Spanish streets ready for bikes? Evidence from urban traffic accidents [0.03%]
西班牙的城市街道准备好迎接自行车了吗？来自城市交通事故的证据
Mercedes Castro-Nuño,Lourdes Lopez-Valpuesta,Rafael Pozo-Barajas
Mercedes Castro-Nuño
The promotion of cycling as one of the most popular measures to drive sustainable urban mobility, and the rise in bicycle usage have triggered a debate on the consequences of the coexistence of different transportation modes. This interacti...
Accident severity prediction on arterial roads via multilayer perceptron neural network [0.03%]
基于多层感知器神经网络的动脉路交通事故严重程度预测
Salam Aied Al-Husban,Mohd Khairul Idham,Khairul Hazman Padil et al.
Salam Aied Al-Husban et al.
Traffic accidents continue to be a major cause of death in urban areas. While recent research has demonstrated the utility of predictive modelling in rural, express and highway environments, a gap remains in understanding the factors that i...
Data as evidence: research on the impacting mechanisms of dual prevention mechanism construction in Chinese coal enterprise based on SEM [0.03%]
基于SEM的中国煤炭企业双重预防机制构建效用及影响机理研究
Jingzhi Wang,Quanlong Liu,Jianping Shang et al.
Jingzhi Wang et al.
Constructing dual prevention mechanisms is important policy for safety risk precontrol in Chinese coalmine. Existing researches mostly focus on the qualitative analysis of dual prevention mechanisms, such as the relevant concept definitions...
Learning from historical evidence to move forward in safety research: systematic reviews and vulnerable road users [0.03%]
从历史数据中学习以推动安全研究发展：系统回顾与弱势道路使用者
Geetam Tiwari
Geetam Tiwari