Abstract :
[en] World Health Organization (WHO), ranks road accidents among the top 10 leading causes of death globally. In Europe, despite having classified European roads as the safest in the world, yet only in 2017, road accidents took 25,300 lives and left 135,000 people with serious injuries as declared by European commission. These statistics for Belgium in 2017 as asserted by the Belgian Institute of Road safety, were 483 fatalities and 48,227 injuries. Another key point is, an overrepresentation of lower socio-economic groups and ethnic minorities in road accident involvement has been abundantly reported. Nevertheless, despite all the data that have been collected and studies that have been conducted, injury research still lacks explanatory models and data that express how contextual and individual factors contribute to road accident involvement. Hence, the purpose of this thesis is to address this lack in the case of Belgium. The first part of the dissertation is dedicated to investigating inequalities in mobility and road safety. In the second part of the dissertation, a data integration framework, that maximizes the exploitation of the existing data, is developed. Given the fact that lack of information is often reported as one of the main study limitations in transport research, other data sources provide an important opportunity, as the information from these data sources might be fully exploited when they are integrated using an appropriate mathematical framework. In the third part of the dissertation, the emphasis is laid on the assessment of ethnicity/nationality and cultural background on different mobility and road-safety related aspects.
