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The objective of this research is the exploration of seat belt use in Greece and particularly the identification of the parameters affecting seat belt use in Greece. A national field survey was conducted for the analytical recording of seat belt use. A binary logistic regression model was developed, and the impact of each parameter on seat belt use in Greece was quantified. Parameters included in the model concern characteristics of car occupants (gender, age and position in the car), the type of the car and the type of the road network. The data collection revealed that in Greece, the non-use of seat belt on the urban road network was higher than on the national and rural road network and young and older men use seat belts the least. The developed model showed that travelling on a national road is negative for not wearing the seat belt. Finally, the variable with the highest impact on not wearing a seat belt is being a passenger on the back seats.

This paper presents a comprehensive literature review on road traffic accident prediction models (APMs) and crash modification factors (CMFs). The focus is on motorways and higher ranked rural roads and the study was performed within a European road authorities' research project. The priorities for the review were determined by a questionnaire survey on model availability and needs, addressed to national road authorities in Europe and worldwide. The salient literature was reviewed and existing models were assessed in terms of theoretical approaches, model characteristics, implementation conditions, data requirements and available results. The review of CMFs focused on their background and development, the various methods for developing them and the key issues in their application. The review resulted in the development of an APM and CMF inventory that forms the basis for an online repository, with the aim of assisting the practical application of gathered experience on accident prediction.

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