Pitfalls in evaluating aviation accident risk

2007 ◽  
Author(s):  
Bruce G. Coury ◽  
Deborah Bruce
Keyword(s):  
Accident Risk

ROAD TRAFFIC FATALITIES AND ACCIDENT RISK IN UTTARAKHAND STATE OF INDIA: A GEOGRAPHICAL ANALYSIS

2020 ◽  
Vol 40 (2) ◽  
pp. 234-247
Author(s):  
Santosh Kumari ◽  
◽  
D.D SHARMA ◽  
VIRENDER SINGH ◽  
◽  
...  
Keyword(s):  
Road Traffic ◽  
Accident Risk ◽  
Traffic Fatalities ◽  
Geographical Analysis

Integrated accident risk assessment in mines

2019 ◽  
Vol 11 ◽  
pp. 180-192 ◽  
Author(s):  
M.V. Pelipenko ◽  
◽  
S.V. Balovtsev ◽  
I.I. Aynbinder ◽  
◽  
...  
Keyword(s):  
Risk Assessment ◽  
Accident Risk

A Study of High Accident Risk for Chemical Process

2018 ◽  
Vol 6 (1) ◽  
pp. 63-70
Author(s):  
Dong Hoon Lee ◽  
Yong Taek Ju ◽  
heon kim ◽  
Kyo Shik Park
Keyword(s):  
Chemical Process ◽  
Accident Risk

scholarly journals Predicting On-Road Driving Skills, Fitness to Drive, and Prospective Accident Risk in Older Drivers and Drivers with Mild Cognitive Impairment: The Importance of Non-Cognitive Risk Factors

2021 ◽  
Vol 79 (1) ◽  
pp. 401-414
Author(s):  
Max Toepper ◽  
Philipp Schulz ◽  
Thomas Beblo ◽  
Martin Driessen
Keyword(s):  
Risk Factors ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Older Drivers ◽  
Accident Risk ◽  
Fitness To Drive ◽  
Cognitive Predictors ◽  
Driving Skills ◽  
Cognitive Risk ◽  
Cognitive Risk Factors

Background: On-road driving behavior can be impaired in older drivers and particularly in drivers with mild cognitive impairment (MCI). Objective: To determine whether cognitive and non-cognitive risk factors for driving safety may allow an accurate and economic prediction of on-road driving skills, fitness to drive, and prospective accident risk in healthy older drivers and drivers with MCI, we examined a representative combined sample of older drivers with and without MCI (N = 74) in an observational on-road study. In particular, we examined whether non-cognitive risk factors improve predictive accuracy provided by cognitive factors alone. Methods: Multiple and logistic hierarchical regression analyses were utilized to predict different driving outcomes. In all regression models, we included cognitive predictors alone in a first step and added non-cognitive predictors in a second step. Results: Results revealed that the combination of cognitive and non-cognitive risk factors significantly predicted driving skills (R2adjusted = 0.30) and fitness to drive (81.2% accuracy) as well as the number (R2adjusted = 0.21) and occurrence (88.3% accuracy) of prospective minor at-fault accidents within the next 12 months. In all analyses, the inclusion of non-cognitive risk factors led to a significant increase of explained variance in the different outcome variables. Conclusion: Our findings suggest that a combination of the most robust cognitive and non-cognitive risk factors may allow an economic and accurate prediction of on-road driving performance and prospective accident risk in healthy older drivers and drivers with MCI. Therefore, non-cognitive risk factors appear to play an important role.

European Respiratory Society Statement on Sleep Apnoea, Sleepiness and Driving Risk

2020 ◽  
pp. 2001272
Author(s):  
Maria R Bonsignore ◽  
Winfried Randerath ◽  
Sofia Schiza ◽  
Johan Verbraecken ◽  
Mark W Elliott ◽  
...  
Keyword(s):  
At Risk ◽  
Motor Vehicle ◽  
Task Force ◽  
Present Report ◽  
Sleep Apnoea ◽  
Accident Risk ◽  
European Respiratory Society ◽  
Obstructive Sleep ◽  
Patients At Risk ◽  
The Impact

Obstructive sleep apnoea (OSA) is highly prevalent and is a recognised risk factor for motor vehicle accidents (MVA). Effective treatment with continuous positive airway pressure (CPAP) has been associated with a normalisation of this increased accident risk. Thus, many jurisdictions have introduced regulations restricting the ability of OSA patients from driving until effectively treated. However, uncertainty prevails regarding the relative importance of OSA severity determined by the apnoea-hypopnoea frequency per hour and the degree of sleepiness in determining accident risk. Furthermore, the identification of subjects at risk for OSA and/or accident risk remains elusive. The introduction of official European regulations regarding fitness to drive prompted the European Respiratory Society to establish a Task Force to address the topic of sleep apnoea, sleepiness and driving with a view to providing an overview to clinicians involved in treating patients with the disorder. The present report evaluates the epidemiology of MVA in patients with OSA, the mechanisms involved in this association, the role of screening questionnaires, driving simulators and other techniques to evaluate sleepiness and/or impaired vigilance, the impact of treatment on MVA risk in affected drivers, and highlights the evidence gaps regarding the identification of OSA patients at risk for MVA.

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