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Which conditions make the train a convenient modal alternative in interurban commuting for different commuting profiles? A comprehensive analysis based on mobile phone data

Nalin A., Simone A., Cappellari D., Zamengo B., Lantieri C. Which conditions make the train a convenient modal alternative in interurban commuting for different commuting profiles? A comprehensive analysis based on mobile phone data Roma, luglio 2026   Introduction The objective of this research is to analyse interurban commuting at regional level focusing on the ...
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Mobility and Tourism Analytics: passive data, Machine Learning and LLMs

Cappellari D., Mantegari G., Zamengo B. In Intelligenza Artificiale, Dati Multisorgente e Analisi Avanzate per Sistemi Socio-Economici e Ambientali, 2025. Roma, luglio 2026   Introduction This paper explores how passive mobility data, including Mobile Network Operator (MNO) data, GPS traces and Floating Car Data (FCD), can complement official statistics by providing more timely and granular insights into ...
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MNO-MINDS Final Conference

23 September 2025 14:00 – 25 September 2025 13:00 (CET) Event locationOECD – Conference Centre room CC12 • FR, Paris, 75016, 2 rue André Pascal   Motion Analytica ha partecipato alla Final Conference del progetto MNO-MINDS, tenutasi a Parigi dal 23 al 25 settembre 2025 presso l’OECD Conference Centre, presentando tre studi innovativi sull’utilizzo dei dati di ...
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Towards a Fair and Comprehensive Evaluation of Walkable Accessibility and Attractivity in the 15 Min City Scenario Based on Demographic Data

Boninsegna F., Nalin A., Simone A., Zamengo B., Cappellari D., Silvestri F. XXVII International Conference Living and Walking in Cities LWC 2025 Brescia, 11-12 settembre 2025   Abstract Accessibility and the so-called ‘15 min city’ paradigm are critical dimensions in agendas involving urban policies. However, when interested in accounting for accessibility from a formal perspective, researchers and ...
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Design and testing of an agent chatbot supporting decision making with public transport data

L. Fantin , M. Antonelli, M. Cesetti, D. Irto, B. Zamengo , F. Silvestri GenAI4MoDA@MDM 2025, 2nd Workshop on  Generative AI for Mobility Data 02 giugno 2025   Abstract Assessing the quality of public transportation services requires the analysis of large quantities of data on the scheduled and actual trips and documents listing the quality constraints each service needs ...
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Studio del legame tra aree di interesse e turismo nelle aree interne attraverso i big data

  R. Bellide, A. Cucchiaro, G. Mantegari, B. Zamengo   Abstract La statistica ufficiale permette di studiare il fenomeno del turismo sul territorio su cui si estendono i due Parchi ma non è facilmente stimabile l’impatto che questi attrattori hanno sull’intero territorio che li ospita. L’utilizzo dei big data di telefonia mobile hanno permesso di approfondire le analisi ...
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Application of cell phone data to monitor attendance during motor racing major event. The case of Formula One Gran Prix in Imola

Nalin A., Simone A., Lantieri C., Cappellari D., Mantegari G., Vignali V.   Case Studies on Transport Policy Volume 18, December 2024, 101287 The advent of connected devices, such as smartphones, has had a transformative impact on the landscape of recent years. Once privacy concerns have been addressed, data can be handled and analysed in a ...
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I big data per la valorizzazione del turismo montano: esperienze e potenzialità

Bruno Zamengo, Dario Di Sorte, Denis Cappellari, Andrea Zaramella   Abstract BIG DATA FOR ENHANCING MOUNTAIN TOURISM: EXPERIENCES AND POTENTIAL. The widespread adoption of new communication technologies, the pervasiveness of mobile services and usage, along with the near-total signal coverage available to almost the entire population across virtually all territories, made mobile networks a valuable ...
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Mapping Passenger Trajectories to Train Schedules

Padoan L., Silvestri F., Zamengo B. 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2024) Tuesday October 29 – Friday November 1, 2024 Atlanta, GA, USA   An important task in transportation studies is to accurately map a given set of trajectories representing moving individuals onto specific means of transportation, like ...
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Evidences from Cellphone Big Data Applications for Urban Mobility Needs: Case Studies in Italy

Nalin A., Lantieri C., Simone A., Vignali V., Cappellari D., Mantegari G., Zaramella A. New Challengers for Sustainable Urban Mobility: Volume II, pp 289-299 Brescia, 18 settembre 2024   Abstract The use of big data has been radically increasing in the last years. In fact, when users’ privacy is guaranteed, big data can provide an effective, even ...
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