Safety risk assessment for intersection rear-end conflicts based on collision risk force indicator [0.03%]
基于碰撞风险力指标的交叉口后方冲突安全风险评估
Chengkun Liu,Tao Wang,Shiyi Chen et al.
Chengkun Liu et al.
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...
Exploring the speeding behavior among young motorcyclists in Lahore using extended theory of planned behavior: insights for road safety improvements [0.03%]
运用扩展计划行为理论探究拉合尔年轻摩托车手的超速行为及其对改善道路安全的启示
Nazam Ali,Muhammad Ashraf Javid,Charitha Dias et al.
Nazam Ali et al.
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...
Assessing the impact of demographic and contextual factors on cyclist safety at midblock locations and intersections [0.03%]
评估人口和环境因素对机动车道上骑行者安全的影响
Puteri Intan Solha Salim,Rusdi Rusli,Sharifah Allyana Syed Mohamed Rahim et al.
Puteri Intan Solha Salim et al.
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 A...
A systematic literature review on road safety management: land use, budget and legislation [0.03%]
关于道路安全管理体系的文献综述：土地使用、预算和立法
Rahul Narayan,K Jayakesh
Rahul Narayan
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 chara...
Pickup truck crash severity analysis via machine learning: policy insights for developing countries [0.03%]
机器学习在皮卡碰撞事故严重程度分析中的应用——发展中国家的道路交通安全政策启示
Chamroeun Se,Thanapong Champahom,Sajjakaj Jomnonkwao et al.
Chamroeun Se et al.
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 mult...
Identifying factors affecting crash injury severity of pillion riders using interpretable machine learning techniques [0.03%]
基于可解释机器学习技术识别影响乘坐人的事故伤害严重程度的因素
Anju K Panicker,Gitakrishnan Ramadurai
Anju K Panicker
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 ...
Bayesian networks for identifying causal effects of factors on crash injury severity at signalized intersections [0.03%]
信号控制交叉口碰撞损伤严重程度的贝叶斯网络因果分析模型研究
Qianwei Xuan,Guopeng Zhang,Shuwu Wei et al.
Qianwei Xuan et al.
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 relations...
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...