The main task is to more adequately include the user in risk assessments. This should be based on the development of the static/ dynamic risk model. In the context of the quantitative risk analysis, a methodology for the incorporation of the human factor and the assessment of its contributing factors is developed. This approach is based on the elaboration of a model with two interacting segments; a dynamic and a static one. The dynamic part is developed with the use of the Bayesian Networks (BN’s) with integrated elements from the Technique for Retrospective and Predictive Analysis of Cognitive Errors (TRACEr) and the Standardized Plant Analysis Risk Human Reliability Analysis (SPAR-H) and focuses on the calculation of the collision accident probability. This probability is inserted into the static part which allows the calculation of the human, economic and environmental risk. The model takes into account the human performance in normal, abnormal and critical operational conditions and implements specific tasks which are derived from the performed analysis of the task errors leading to the collision accident category. Finally, the verification of the model is based on statistical data from the Dover strait. Given the produced results, important conclusions can be elicited. It is apparent, that the collision probability is greatly dependent on the human factor, which plays a paramount role in a possible collision scenario. Factors directly connected to the human element, such as assessment, detection and performance exceed by far as the most important factors. Other important factors including machine based factors (radar detection) and interaction factors (external communications), contribute, but in a far lesser level. Furthermore, the implemented probabilities from the dynamic model into the static model and the verification of the outcome using traffic data of a high density traffic area leads to CN frequency similar to CN frequencies determined by the FSA on RoPax (MSC 85/INF.3) or by the Goal based Damage Stability (GOALDS) project. Subsequently, the enhanced consideration of the human factor allows the assessment of measures for the reduction of the collision accident probabilities and the derived consequences by adopting specific design alterations with respect to Human Centered Design (HCD).