The present thesis aims to the identification of the parameters affecting the intention of drivers to pay so as to avoid getting involved in fatal accidents and the estimation of human cost in car accidents. The “Stated Preference Method” was developed along with a questionnaire-based survey. Moreover, data processing was followed via a statistical analysis and the development of a Lognormal Regression model. The final form of the model allowed the identification and qualification of the factors of the individual willingness to resort to paying. The outcome has shown that such an intention depends on driving experience, reasons of driving outside urban areas, perceived risk, age, annual family income, number of children and reduction of the probability of being involved in a road accident. Using data based on the “Willingness-to-Pay” methodology has led to the estimation of the human cost, for the first time in Greece, totaling to 816,5 thousand euros.
|Tags||driver behaviour, enforcement|