Enhancing Corporate Travel Planning through a Data-Driven, User-Centred Approach. A Case Study on Student Sustainable Mobility in Turin

This thesis explores the development and effectiveness of Corporate Travel Planning, in Italian “Piani Spostamento Casa-Lavoro” – PSCLs – within the broader framework of Mobility Management, with a focus on advancing sustainable mobility through data-driven and user-centred approach. By addressing the specific commuting needs of students and integrating young generations into travel planning, the research underscores the importance of tailoring solutions to users’ real requirements, moving beyond conventional, one-size-fits-all strategies. The study investigates the Italian context, particularly the metropolitan area of Turin, to provide localised insights into the implementation of PSCLs and the challenges they face. Using a comprehensive methodology – combining a literature review, comparative analysis, and case study approaches – it evaluates the effectiveness of PSCLs in promoting sustainable transport and meeting user needs. Data from a travel survey administered to the students, professors, and administrative-technical staff at Istituto Tecnico Superiore Avogadro, enriches the analysis, offering practical insights into commuting behaviours and preferences. Key findings highlight the critical role of Mobility Management measures, the influence of public policies, and the engagement of stakeholders in designing adaptable mobility solutions. This research emphasises the need to prioritise inclusivity and responsiveness in transport planning, particularly for younger generations. Recommendations provided in the discussion aim to advance sustainable urban transport frameworks by leveraging targeted data collection and user engagement. By bridging theoretical analysis and practical insights, this thesis contributes to the ongoing discourse on sustainable urban mobility and provides actionable recommendations to improve the effectiveness of PSCLs in addressing the diverse needs of urban populations.