Associate Professor Amnir Hadachi. Multi-modal modelling of urban mobility: from data to decisions

Public online lecture series “Mobility analysis and planning for human-scale cities” 2026 The lecture series organised by the Mobility Lab of the University of Tartu explores how the analysis and planning of mobility data can support the development of sustainable travel behaviour and shaping high‑quality urban environments. A further objective of the series is to contribute to the training and professional growth of future mobility specialists. The lectures address transport policy; transport and urban planning; the management of social change; the social, environmental, and health dimensions of transport and mobility; the concept of accessibility; travel demand and travel behaviour; and emerging datasets and analytical methods in mobility studies and transport planning. In 2026, the lecture series will take place for the fifth time. This year’s focus is on public transport. The programme will examine national and municipal approaches to the planning and management of public transport; passenger satisfaction and the shaping of public transport use through targeted interventions; collaboration between service providers in delivering journey‑planning and ticketing solutions; and the use of mobility data in modelling multimodal urban travel. Find out more here: https://transportplanning.ut.ee/ Dr Amnir Hadachi is an Associate Professor of Smart City Technologies and Head of the Chair at the University of Tartu, where he leads the Intelligent Transportation Systems (ITS) Lab and advances research at the intersection of artificial intelligence, mobility analytics, and sustainable urban innovation. Holding a PhD in Computer Science from INSA Rouen (France), he specialises in spatio-temporal data analytics, intelligent transportation systems, mobility modelling, and applied machine learning, transforming large-scale urban data into actionable solutions for smarter, greener cities. He collaborates closely with industry and public-sector partners, contributes to European innovation initiatives, and serves as Associate Editor of the Journal of Urban Mobility (Elsevier). Dr Hadachi has authored numerous peer-reviewed publications and actively shapes the future of data-driven urban mobility and intelligent infrastructure systems. The lecture will examine how urban mobility has become increasingly multi-layered, data-intensive and closely intertwined with policy decisions. It will highlight how cities are no longer shaped by single-mode transport systems, but by complex interactions between walking, cycling, public transport, private vehicles, shared mobility and emerging on-demand services. The lecture will explore how multi-modal models move beyond abstract demand estimation to support evidence-based urban planning, infrastructure development and policy impact assessment. It will position multi-modal modelling within a broader research framework that connects theory, data, computation and governance, while emphasising its practical implications for creating sustainable, efficient and equitable mobility systems.