Smart cities and their link to sustainability especially in the mobility sector has become a major concern on a global scale. Nonetheless, the challenges of this link must be first dealt at the local scale. Urbanization is rapidly transforming the cities and creates new urban behaviors pushing for a holistic assessment of cities. Furthermore, the complexity of the resulting urban problems ne- cessitates an evidence based decision and policy making approach. This study aspires to propose a methodological framework for enabling an exploratory analysis of the smart mobility charac- teristics of European cities by utilizing the capabilities of ICT tools in tackling the obstacles of large scale assessment. This work involves the combination of a qualitative survey (questionnaire) and the creation of new quantitative datasets in order to cluster cities according to a proposed system of indicators. This will serve as a basis for developing an interactive tool that will dynam- ically visualize the correlations between sustainability assessment indicators, cities and clusters allowing the identification of key influencers, city profiles and characteristics. The methodology is tested on 57 European cities and incorporates the use of composite indicators, data mining techniques and state-of-the-art analysis of the theoretical background and a detailed review of relevant past studies.
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