Automobile Fatal Accident and Insurance Claim Analysis Through Artificial Neural Network

This chapter presents a thorough descriptive analysis of automobile fatal accident and insurance claims data. Major components of the artificial neural network (ANN) are discussed, and parameters are investigated and carefully selected to ensure an efficient model construction. A prediction model is constructed through ANN as well as generalized linear model (GLM) for model comparison purposes. The authors conclude that ANN performs better than GLM in predicting data for automobile fatalities data but does not outperform for the insurance claims data because automobile fatalities data has a more complex data structure than the insurance claims data.

The influence of weather on fatal accidents in Austrian mountains

Projections of warmer global temperatures in fast approaching time horizons warrant planning strategies for reducing impacts on human morbidity and mortality. This study sought to determine whether increases in temperature and other changes in weather indices impacted rates of fatal accidents occurring in the popular mountainous regions of Austria with the purpose of improving mountain prevention and accident mitigation strategies. The study was based on the merging of 3285 fatal outdoor accidents reported by the Austrian Alpine Safety Board for the period 2006 to 2018 with daily meteorological data from 43 nearby climate stations during the same period. Multivariable logistic regression was used to model the odds of one or more fatal accidents per station and day with weather indices as predictors, controlling for weekend effects bringing more visitors to the mountains. Separate prediction models were performed for summer and winter activities, as well as for specific disciplines. Even after adjustment for concomitant effects impacting mountain fatal accidents, the daily weather indices of temperature, relative humidity, global radiation, cloudiness, snow cover and precipitation were statistically significantly associated with fatal accident risk. In particular, a one-degree Celsius increase in temperature was associated with a 13% increase in odds of a mountain biking accident in the summer and a 8% increase in odds of a mountain suicide in the winter. An increase in global radiation by 1 kWh/m2 was associated with a 11% and 28% increase in fatal accident odds for mountaineering in the summer and touring in the winter, respectively.

The Fatal Accident at Biodiversity Flyover in Hyderabad - A Case Study

Urban disasters, Traffic is unavoidable due to increase in density of vehicles without adding more road space to the city. This is demanding for more flyovers, grade separators to avoid congestion at the junctions. Hyderabad is congesting with many junctions adding up to the heavy traffic and waiting time, energy, fuel and polluting the city with noise and air pollution. For economic benefit and decongestion of major junctions, Flyovers were planned and constructed. To meet this demand in Gachibowli and Hi-Tech city area, a flyover was constructed by MVR Infra projects near biodiversity junction. The present paper describes the incident of fatal accident taken place on November 23, 2019. The study also reveals aftermath actions taken by the government of Telangana and suggested various sections in the Indian penal codes for such incidents.

Insights into Factors Affecting Traffic Accident Severity of Novice and Experienced Drivers: A Machine Learning Approach

Traffic accidents have significant financial and social impacts. Reducing the losses caused by traffic accidents has always been one of the most important issues. This paper presents an effort to investigate the factors affecting the accident severity of drivers with different driving experience. Special focus was placed on the combined effect of driving experience and age. Based on our dataset (traffic accidents that occurred between 2005 and 2021 in Shaanxi, China), CatBoost model was applied to deal with categorical feature, and SHAP (Shapley Additive exPlanations) model was used to interpret the output. Results show that accident cause, age, visibility, light condition, season, road alignment, and terrain are the key factors affecting accident severity for both novice and experienced drivers. Age has the opposite impact on fatal accident for novice and experienced drivers. Novice drivers younger than 30 or older than 55 are prone to suffer fatal accident, but for experienced drivers, the risk of fatal accident decreases when they are young and increases when they are old. These findings fill the research gap of the combined effect of driving experience and age on accident severity. Meanwhile, it can provide useful insights for practitioners to improve traffic safety for novice and experienced drivers.

A Phenomenological Study on the Exposing Experience and Overcoming of Repeated Fatal Accidents of Fire-fighting Officers on Outdoor Service

The core purpose of this study is to provide useful information for educational and psychological programs for outdoor fire-fighters by comprehensive analysis of their repeated experience in exposure to fatal accidents and overcoming them. To this end, eight outdoor fire officials in charge of rescue and emergency affairs were selected as subjects of the study at a fire Station in Cheonan and conducted in-depth interviews. Subsequently, interview data were analyzed through Giorgi's phenomenological analysis method and 10 essential themes were derived as followings; the sorriness and regret of his inexperience at the scene of the fatal accident, the painfulness and sorriness for the inevitable fatal accident, a frightening and trembling emotional experience, the blocked emotional response, an emotionless experience, the spread of anxiety, the realization of the importance of confrontation, the realization of the importance of time to escape stress, an experience in the power of empathy and comfort from family and colleagues, and an experience in the importance of professional calling consciousness.

Billionaire space race goes far beyond joyrides

Significance Nine days later, Amazon founder Jeff Bezos (net worth USD208bn) reached 106 kilometres on the New Shepard rocket developed by his space company, Blue Origin. Both say regular rides for paying passengers will commence soon. Impacts At some point a fatal accident is likely; the sooner it happens, the more it will damage the industry. Media coverage of the industry and its founders will fuel resentment over inequality and perceptions of space flight as a useless luxury. Each 'space billionaire' has plans that go beyond space tourism and that will have greater commercial and strategic impact.