The investigation and modelling of aviation accident causation is dominated by linear models. Aviation is, however, a complex system and as such suffers from being artificially manipulated into non-complex models and methods. This thesis addresses this issue by developing a new approach to investigating aviation accident causation through information networks. These networks centralise communication and the flow of information as key indicators of a system‟s health and risk. The holistic approach focuses on the system itself rather than any individual event. The activity and communication of constituent elements, both human and non-human agents, within that system is identified and highlights areas of system failure. The model offers many potential developments and some key areas are studied in this research. Through the centralisation of barriers and information nodes the method can be applied to almost any situation. The application of Bayesian mathematics to historical data populations provides scope for studying error migration and barrier manipulation. The thesis also provides application of these predictions to a flight simulator study in an attempt of validation. Beyond this the thesis also discusses the applicability of the approach to industry. Through working with a legacy airline the methods discussed are used as the basis for a new and forward-thinking safety management system. This holistic approach focuses on the system environment, the activity that takes place within it, the strategies used to conduct this activity, the way in which the constituent parts of the system (both human and non-human) interact and the behaviour required. Each stage of this thesis identifies and expands upon the potential of the information network approach maintaining firm focus on the overall health of a system. It is contended that through the further development and application of this approach, understanding of aviation risk can be improved.

Human related accidents in high-risk industries amount to a significant economic hazard and incur tremendous damages, causing excessive operational costs and loss of life. The aviation industry now observes human-related accidents more frequently than in the past, an upswing attributable to cutting-edge technology usage and the complex systems employed by aviation organizations. Historically, aviation accidents have been attributed to individual unsafe behavior. However, contemporary accident causation models suggest that organizational-level factors influence individual safety performance, as human-related accidents take place in an organizational context. The present study examines the formation of organizational safety culture and influence on individuals' safety behavior in a police aviation environment. The theory of planned behavior guides the study model in explaining individual variability in safety behavior via organizational safety culture. The study conceptualized organizational safety culture and individual safety behavior as multidimensional constructs. Confirmatory factor analysis was conducted for each latent construct to validate the construct validity for each measurement model. Organizational safety culture was observed via safety climate facets, which contained four subcomponents including individual attitude, group norms, management attitude, and workplace pressures. Individual safety behavior contained violation and error components observed by self-reported statements. Structural equation modeling was conducted to test the study hypotheses. Utilizing a sample of 210 employees from the Turkish National Police Aviation Department, a 53-item survey was conducted to measure individuals' safety culture perceptions and self-reported safety behaviors. The results suggest that individual safety behavior is significantly influenced by organizational safety culture. Except for the relation between workplace pressures and intention, all suggested relations and correlations were statistically significant. The four-factor measurement model of organizational safety climate fit reasonably well to the data, and most correlations between the safety climate components were significant at the .05 level. Individuals' self-reported error behavior is positively associated with age, and individuals' self-reported violation behavior is positively associated with years of service. Overall, along with organizational safety culture, age and service-year variables accounted for 65% of the variance in intention, 55% of the variance in violation behavior, and 68% of the variance in error behavior. Lastly, no significant difference manifested among pilots, maintenance personnel, and office staff according to their self-related safety behaviors. The findings have theoretical, policy, and managerial implications. First, the theory of planned behavior was tested, and its usefulness in explaining individuals' safety behavior was demonstrated. The survey instrument of the study, and multi-dimensional measurement models for organizational safety climate and individual safety behavior were theoretical contributions of the study. Second, the emergence of informal organizational structures and their effects on individuals indicated several policy implications. The study also revealed the importance of informal structures in organizations performing in high-risk environments, especially in designing safety systems, safety policies, and regulations. Policy modification was suggested to overcome anticipated obstacles and the perceived difficulty of working with safety procedures. The influences of age on error behavior and years of service on violation behavior point to the need for several policy modifications regarding task assignment, personnel recruitment, health reports, and violation assessment policies. As well, managerial implications were suggested, including changing individuals' perceptions of management and group attitudes toward safety. The negative influence of anticipated obstacles and the perceived difficulties of safety procedures on individual safety behavior pointed out management's role in reducing risks and accidents by designing intervention programs to improve safety performance, and formulating proactive solutions for problems typically leading to accidents and injuries.

The master’s thesis investigates the influence of a pilot‘s age and experience on the probability of aviation accident related to general aviation in the Czech Republic. The results were obtained using statistical analyses of data from aircraft accident final reports. The aim of the thesis is to propose the ways of decreasing the number of accidents caused by the analyzed factors while taking into account the current aviation legislation.

The master’s thesis investigates the influence of a pilot‘s age and experience on the probability of aviation accident related to general aviation in the Czech Republic. The results were obtained using statistical analyses of data from aircraft accident final reports. The aim of the thesis is to propose the ways of decreasing the number of accidents caused by the analyzed factors while taking into account the current aviation legislation.

This thesis is about wind shear and its influence on aviation. There is wide theoretical description of wind shear and itâs implemented into aviation practice. There are also methods of observation, forecasting and reporting, for both pilots and meteorologist described. In this thesis, pilots can find useful recommendations for dealing with wind shear during the flight. Every reader can also read about famous aviation accidents and look at models of weather that caused those accidents. At the end of thesis there are analyses of a rawiosonde measurements related to wind shear reports. This whole thesis is focused on increasing awareness of wind shear in aviation from angle of view of both pilots and aviation meteorologist.