The proposed doctoral research examines the role of emerging mobility services in future, sustainable, and safe travel in urban environments. The research is structured based on five principal pillars: (1) ride-sharing systems that enhance the efficiency of private travel; (2) the reallocation of public space; (3) the restructuring of public transport through digital tools and intelligent systems; (4) the promotion of active mobility modes such as walking and cycling; and (5) the integration of innovative safety indicators into transport policies. To support the analysis, a multi-layered dataset will be employed, sourced through collaborations with institutional, research, and private entities. Indicatively, these include: the Ministry of Infrastructure and Transport, the Ministry of Environment and Energy, the Hellenic Statistical Authority, the Athens Urban Transport Organization (OASA), the Region of Attica, Public Space Regeneration S.A., the National Observatory of Athens, as well as international platforms such as Eurostat, the European Investment Bank, the EU Urban Mobility Observatory, the European Road Safety Observatory, CIVITAS, and the International Transport Forum. Additionally, data will be drawn from technology and mobility providers (OSeven, Uber, TomTom, Google Maps API, Strava API). The methodological approach combines statistical analysis, machine learning, and artificial intelligence, pursuing the development of predictive models and decision-support tools. The research is expected to yield new methods for understanding the relationships among mobility services, user behavior, and the environment, and to formulate innovative solutions for sustainable, safe, and resilient cities.