Journal of Safety Research

Mouyid Islam

Niloufar Shirani

Investigating the factors behind cellphone-distracted crashes: Assessing injury severity among distracted drivers in states with and without cell phone bans

探究手机分心事故背后的因素：评估有和无手机禁令州分心驾驶者的伤害严重程度

Cycling is popular for its ecological, economic, and health benefits. However, especially in rural areas, cyclists may need to share the road with motorized traffic, which is often perceived as a threat. Overtaking a cyclist is a particularly critical maneuver for drivers as they need to control their lateral clearance and speed when passing the cyclist, possibly in the presence of oncoming vehicles or view-obstructing curves. An overtaking vehicle can destabilize the cyclist when passing with low clearance and high speed. At the same time, the cyclist may get scared and eventually stop cycling. In this work, we investigated how visibility regarding available sight distance-an important factor for infrastructure design and regulation-affects drivers' behavior when overtaking cyclists.Using four roadside-based traffic sensors, we collected naturalistic data that contained kinematics of drivers overtaking cyclists on a rural road in Sweden. We modeled lateral clearance and speed at the passing moment in response to variables such as sight distance and oncoming traffic with a Bayesian multivariate approach.Fitted on 81 maneuvers, the model revealed that drivers reduced lateral clearance under reduced sight distance. Speed was similarly reduced, however, not as clearly. When an oncoming vehicle was present, it had a similar-yet stronger-effect than sight distance. While we found an overall correlation between clearance and speed, some maneuvers were recorded at critically low clearance.Cyclists' safety is endangered when passed by drivers under reduced visibility or close to oncoming traffic.Decision-making for infrastructure and policymaking should aim at prohibiting overtaking in areas with reduced visibility or close oncoming traffic. The model developed in this study may serve as a reference to vehicle active-safety systems and automated driving. The collected and processed data may support evaluating driver models fitted on less ecologically valid data and simulated active-safety systems.

Alexander Rasch

Yury Tarakanov

Gustav Tellwe

Marco Dozza

Drivers passing cyclists: How does sight distance affect safety? Results from a naturalistic study

驾驶员超越骑行者：视线距离如何影响安全？自然主义研究的结果

Eye injury is currently a leading cause of visual impairment and monocular blindness in the United States. Information regarding consumer products associated with eye injuries can have important implications for the prevention of these injuries.

Gerald McGwin

Tyler Andrew Hall

Jason Seale

Aiyuan Xie

Cynthia Owsley

Journal of safety research

J Safety Res

Consumer product-related eye injury in the United States, 1998-2002.

1998-2002年美国与消费品相关的眼部损伤。

Road traffic crashes represent a major public health concern, so it is of significant importance to understand the factors associated with the increase of injury severity of its interveners when involved in a road crash. Determining such factors is essential to help decision making in road safety management, improving road safety, and reducing the severity of future crashes.

Kenny Santos

João P Dias

Conceição Amado

A literature review of machine learning algorithms for crash injury severity prediction.

交通事故伤害严重程度预测的机器学习算法文献综述。

Background: In China, despite the decrease in average road traffic fatalities per capita, the fatality rate and injury rate have been increasing until 2015. Purpose: This study aims to analyze the road traffic accident severity in China from a macro viewpoint and various aspects and illuminate several key causal factors. From these analyses, we propose possible countermeasures to reduce accident severity. Method: The severity of traffic accidents is measured by human damage (HD) and case fatality rate (CFR). Different categorizations of national road traffic census data are analyzed to evaluate the severity of different types of accidents and further to demonstrate the key factors that contribute to the increase in accident severity. Regional data from selected major municipalities and provinces are also compared with national traffic census data to verify data consistency. Results: From 2000 to 2016, the overall CFR and HD of road accidents in China have increased by 19.0% and 63.7%, respectively. In 2016, CFR of freight vehicles is 33.5% higher than average; late-night accidents are more fatal than those that occur at other periods. The speeding issue is severely becoming worse. In 2000, its CFR is only 5.3% higher than average, while in 2016, the number is 42.0%. Conclusion and practical implementation: A growing trend of accident severity was found to be contrasting to the decline of road traffic accidents. From the analysis of casual factors, it was confirmed that the release way of the impact energy and the protection worn by the victims are key variables contributing to the severity of road traffic accidents.

Deyu Wang

Qinyi Liu

Liang Ma

Yijing Zhang

Haozhe Cong

Road traffic accident severity analysis: A census-based study in China

道路交通事故严重程度分析：基于中国人口普查的研究

Barbara Estudillo

Francisco J. Forteza

José M. Carretero-Gómez

Effectiveness of training in reducing accidents in construction companies

建筑公司培训在减少事故中的有效性

Xiao Li

Si Qiao

Greg Rybarczyk

Qunshan Zhao

E-scooter safety under scrutiny: Examining crash patterns and injuries in the UK

电动滑板车安全受关注：英国碰撞模式与伤害研究

Margareth Gutiérrez

Raúl Ramos

Jose J. Soto

Felisa Córdova

Factors influencing pedestrian injury severity in Chile: A hierarchical probit ordered model approach

智利行人伤害严重程度影响因素：分层有序概率模型方法

Raissa Marchiori

Siyuan Song

Jewoong Moon

Developing heat stress training assessments: A training-driven methodology approach to enhance safety in the construction industry

开发热应激训练评估：一种以训练为驱动的提高建筑行业安全性的方法

Boshra Besharatian

Sattar Dorafshan

A pipeline to enhance animal vehicle collision analysis in crash report dataset

用于增强事故报告数据集中动物与车辆碰撞分析的流程

Abbreviation	J. Saf. Res.
Journal Impact	3.91
Quartiles(Global)	TRANSPORTATION(Q2)

ISSN	0022-4375, 1879-1247
h-index	103

Publication Information	Publisher: Elsevier Ltd，Publishing cycle: ，Journal Type: journal，Open Access Journals: No
Basic data	Year of publication: 1982，Proportion of original research papers: 94.38%，Self Citation Rate:7.70%， Gold OA Rate: 15.95%

Journal of Safety Research

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