Welcome to 2025

Keynote 1

Mobility data for pandemic response.

• 
  Vittoria Colizza ↗

  Director of Research at INSERM, Faculty of Medicine, Sorbonne University, Paris.
  Wed, Oct 8 · 09:00–10:00
• The COVID-19 pandemic harshly tested decades of preparedness and scientific progress. Yet, its unprecedented nature catalyzed a major shift in the use of mobility data from mobile phones—from a traditional approach for mapping spatial disease transmission to an operational proxy for inferring social distancing and behavioral adaptation. Drawing on our experience during the pandemic response, this talk will explore how mobility data became essential for real-time assessment of intervention impact, monitoring of behavioral response, and informing public health decision-making—alongside its constraints and limitations.

Session 1: Mobile Data for Crisis and Emergency Management

Wed, Oct 8 · 10:30–12:15

• Use of mobile phone data to measure behavioral response to SMS evacuation alerts.

  Authors: Erick Elejalde (L3S Research Center), Timur Naushirvanov (Central European University), Kyriaki Kalimeri (ISI Foundation), Elisa Omodei, Márton Karsai (Central European University), Loreto Bravo, Leo Ferres (Universidad del Desarrollo)

• Evaluating the Predictability of Disaster Evacuation Behavior using LLM Agents.

  Authors: DongHak Lee, Jiayi Weng, Vaidehi Raipat, Takahiro Yabe (New York University)

• Disruption and Adaptation of Social Connectedness at Third Places after Disaster Displacement.

  Authors: Vaidehi Raipat, Takahiro Yabe (New York University)

• Targeting mobile money cash transfers for emergency relief using Call Detail Records in the Democratic Republic of the Congo (DRC).

  Authors: Galina Veres, James Harrison, Sarah Allen (Flowminder Foundation), Marie Sophie Pocha (GiveDirectly), Véronique Lefebvre (Flowminder Foundation)

• On the utility of Digital Contact Tracing on empirical contact network.

  Authors: Chuan Li (Sorbonne Université, Paris, France.), Vincent Gauthier (SAMOVAR, Telecom SudParis, Institut Polytechnique de Paris, Palaiseau, France.), Miguel Nunez-del-Prado (Universidad Peruana de Ciencias Aplicadas, Lima, Peru.), Hugo Alatrista-Salas (De Vinci Higher Education, De Vinci Research Center, Paris, France.), Hassine Moungla (LIPADE, Université Paris Cité, Paris, France.)

• Changes in social contact time following digital SARS-CoV-2 post-exposure notification: A retrospective case-control study at a US university.

  Authors: Daniel Citron (NYU Grossman School of Medicine, USA), Po-Shen Loh (Carnegie Mellon University, USA), Shannon K Yee (Georgia Institute of Technology, USA), Anna Bershteyn (NYU Grossman School of Medicine)

• Maintaining Connectivity in Subterranean Emergency Response: A 5G and Wi-Fi Mesh Mobility Dataset.

  Authors: Nicolas Peugnet, Anne Fladenmuller (Sorbonne Université, CNRS, LIP6, Paris, France), Thi-Mai-Trang Nguyen (Sorbonne Université, CNRS, LIP6, Paris, France , Université Sorbonne Paris Nord, L2TI, Villetaneuse, France), Brigitte Kervella (Sorbonne Université, CNRS, LIP6, Paris, France , Université Picardie Jules Verne, UPJV, Amiens, France), Julien Thourot (Ingénieur en Chef de l'Armement (ICA), Brigade des sapeurs Pompiers de Paris (BSPP))

Poster Session 1 — Wed, Oct 8 · 12:15–14:00

Room: Salle des Textiles

• Identification and characterisation of traveller persona based on weekly urban mobility patterns

  Authors: Andrés Miguélez, Jerónimo Bueno-González, Oliva G. Cantú-Ros, Ricardo Herranz (Nommon Solutions and Technologies)

• Modeling Base Station Metadata Geolocation

  Authors: Orlando Eduardo Martinez Durive (IMDEA Networks Institute & UC3M), Stefanos Bakirtzis (Cambridge University), Cezary Ziemlicki (Orange Research / SENSE), Marco Fiore (IMDEA Networks Institute)

• Cross-City Travel Mode Identification from Sparse Mobile Phone Data with Transformer Adapters

  Authors: Junyuan Liu, Jiazhuang Feng, Tao Cheng (University College London)

• Estimating traffic flows from vehicle trajectories based on sparse mobile phone geolocation data

  Authors: Roos Teeuwen, Jorge Gil (Chalmers University of Technology)

• The promise and pitfalls of mobile phone data for recreational fishing: Evaluating potential, biases, and representativeness

  Authors: Katarzyna Sila-Nowicka, Richard Beauchamp, Murray Ford (The University of Auckland), Ian Tuck, Bruce Hartill (Ministry of Primary Industries)

• Modeling Mobility with Graph Neural Networks to Predict Neighbourhood Culture

  Authors: Thiago H Silva (Universidade Tecnologica Federal do Parana), Daniel Silver (University of Toronto)

• Mobile Phone Data Reveals Mechanisms of Superspreading at Mass Gathering Events

  Authors: Steven Schulz, Alejandra Rincon Hidalgo (Machine Learning Unit, Department of Engineering, NET CHECK GmbH, Berlin, Germany), Marlli Zambrano (System Modeling Group, Institute of Veterinary Epidemiology and Biostatistics, Freie Universitaet Berlin, Berlin, Germany), Ashish Thampi (Machine Learning Unit, Department of Engineering, NET CHECK GmbH, Berlin, Germany), Andrzej Jarynowski (System Modeling Group, Institute of Veterinary Epidemiology and Biostatistics, Freie Universitaet Berlin, Berlin, Germany), Luca Ferretti (Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK), Phuong Huynh (Institute of Epidemiology and Social Medicine, University of Muenster, Muenster, Germany), Chao Xu, Rafael Mikolajczyk (Institute for Medical Epidemiology, Biometrics, and Informatics, Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle, Germany), Richard Pastor (Machine Learning Unit, Department of Engineering, NET CHECK GmbH, Berlin, Germany), Veronika K. Jaeger, Andre Karch (Institute of Epidemiology and Social Medicine, University of Muenster, Muenster, Germany), Vitaly Belik (System Modeling Group, Institute of Veterinary Epidemiology and Biostatistics, Freie Universitaet Berlin, Berlin, Germany)

• Mapping Urban Mobility with Interest Networks: Cross-Platform and User Behavior Insights

  Authors: Gustavo Santos, Myriam Delgado, Thiago H. Silva (Universidade Tecnológica Federal do Paraná)

• Evaluating Deep Learning for Transport Mode Detection on Crowdsourced Smartphone GPS Data

  Authors: Paul Fermé, Abdellah El Hassani, Aurélie Pirayre, Guillaume Sabiron (IFP Energies nouvelles)

• Enhancing mobile network data with GPS and satellite imagery for accurate population detection

  Authors: Marta Alonso Tubía, Miguel Baena Botana (Nommon), An Vo Quang (IGN FI), Oliva García Cantú-Ros (Nommon), Ana Burgin, Antoine Masse (IGN FI)

Session 2: Mobility, Economy, and Governance

Wed, Oct 8 · 14:00–15:45

• Economic spillover effects of electric vehicle charging station placement on local businesses: a staggered adoption study.

  Authors: M. Mavin De Silva (Extreme Energy-Density Research Institute, Nagaoka University of Technology, ...), Callie Clark (...), Tadachika Nakayama (...), Takahiro Yabe (...)

• Understanding the Impacts of EV Charging Stations on Surrounding Businesses.

  Authors: Callie Clark, Anne Driscoll, Xiyuan Ren, Salsabil Salah, Joseph Chow, Takahiro Yabe (New York University)

• Causal inference in the city: Improving Urban Policy Evaluation Through Mobility-Aware Methods.

  Authors: Bijin Joseph, Hamish Gibbs (Northeastern University), Takahiro Yabe (NYU), Esteban Moro (Northeastern University)

• The Urban Impact of AI: Modeling Feedback Loops in Next-Venue Recommendation.

  Authors: Giovanni Mauro (Scuola Normale Superiore), Marco Minici (ICAR-CNR), Luca Pappalardo (ISTI-CNR)

• Mobile Phone Data Sheds Light on the Localized Activity Patterns of Informal Workers.

  Authors: Jishan Duan, Sukankana Chakraborty, Neave O'Clery (University College London)

• Revealing Hidden Parental Mobility Behaviors Through Large-scale GPS Data.

  Authors: Shusei Hayashi (Tohoku University), Takahiro Yabe (New York University), Naoya Fujiwara (Tohoku University)

• Measuring Bias in CDR Mobility Indicators Arising from Multiple SIM Ownership.

  Authors: Sveta Milusheva, Paul Blanchard, Oscar Eduardo Barriga Cabanillas (World Bank)

Session 3: Urban Dynamics, Mobile Apps and Platforms

Wed, Oct 8 · 16:15–18:00

• The Anatomy of Olympic Games: a Mobile Traffic Demand Perspective.

  Authors: Máximo Pirri, Diego Madariaga (IMDEA Networks Institute), Zbigniew Smoreda (Orange Labs), Marco Fiore (IMDEA Networks Institute)

• Exploring urban event dynamics using mobile application measurements.

  Authors: Diego Madariaga (IMDEA Networks Institute), André Felipe Zanella (Telefónica Innovación Digital), Máximo Pirri (IMDEA Networks Institute), Zbigniew Smoreda (Orange Research), Marco Fiore (IMDEA Networks Institute)

• Tracing Behavioural Changes of High Street Visitors in London Using Mobile Location Data.

  Authors: Xinglei Wang, Tao Cheng (SpaceTimeLab, Department of Civil, Environmental and Geomatic Engineering, University College London)

• PRIMO-Scrap: towards automating the cartography of smartphone apps for mobility.

  Authors: Cyrille Kouma (ESIEE Paris), Fatemeh Salmani (Universite Gustave Eiffel), Daphné TUNCER (Ecole nationale des ponts et chaussees, Institut Polytechnique de Paris)

• An Urban Geography of Mobile Traffic Demands.

  Authors: Sachit Mishra (UC3M and IMDEA Networks Institute, Spain), Diego Madariaga (IMDEA Networks Institute, Spain), Cezary Ziemlicki (SENSE / Orange Innovation, France), Diala Naboulsi (École de Technologie Supérieure, Canada), Marco Fiore (IMDEA Networks Institute, Spain)

• Exploring the Digital Life of Urban Parks Through Mobile Traffic.

  Authors: Andre Felipe Zanella (Telefonica Innovacion Digital), Linus W. Dietz (King's College London), Sanja Šćepanović, Ke Zhou (Nokia Bell Labs), Zbigniew Smoreda (Orange Research), Daniele Quercia (Nokia Bell Labs)

• Spatial heterogeneity in human mobility responses to London’s ultra-low emission zone expansion.

  Authors: Yikang Wang, Chen Zhong (University College London)

Keynote 2

Collecting and sharing human data with meaningful privacy protection.

• 
  Luc Rocher ↗

  Senior researcher at the University of Oxford.
  Thu, Oct 9 · 09:00–10:00

Session 4: Mobility and Urban Inequality

Thu, Oct 9 · 10:30–12:15

• The temporal dimension of experienced segregation in cities.

  Authors: Joshua Rosen, Brennan Klein, Erik Weis, Hamish Gibbs, Sarah Sanchez (Northeastern University), Taka Yabe (New York University), Daniel O'Brien, Esteban Moro (Northeastern University)

• Mobility behavior moderates residential partisan segregation in US metropolitan areas.

  Authors: Marco Tonin, Michele Tizzoni (University of Trento), Bruno Lepri (Fondazione Bruno Kessler), Esteban Moro (Northeastern University)

• Unequal Journeys to Food Markets: Continental-Scale Evidence from Open Data in Africa.

  Authors: Robert Benassai-Dalmau (ISI Foundation), Vasiliki Voukelatou (WFP), Rossano Schifanella, Stefania Fiandrino, Daniela Paolotti, Kyriaki Kalimeri (ISI Foundation)

• When Proximity Falls Short: Inequalities in Commuting and Accessibility in Santiago, Chile.

  Authors: Cesar Marin Flores (Aalto University), Leo Ferres (Universidad del Desarrollo, ISI), Henrikki Tenkanen (Aalto University)

• Hybrid work has increased income segregation at third places in US cities.

  Authors: Xiaotong Xu (The Hong Kong Polytechnic University), Callie Clark (New York University), Wei Ma (The Hong Kong Polytechnic University), Takahiro Yabe (New York University)

• Beyond Distance: Mobility Neural Embeddings Reveal Visible and Invisible Barriers in Urban Space.

  Authors: Guangyuan Weng (Northeastern University), Minsuk Kim, Yong-Yeol Ahn (Indiana University), Esteban Moro (Northeastern University)

• Examining Temporal & Behavioral Bias in Mobility Data.

  Authors: Sarah A. Sanchez, Hamish Gibbs (Northeastern University), Takahiro Yabe (New York University), Daniel T. O'Brien, Esteban Moro (Northeastern University)

Poster Session 2 — Thu, Oct 9 · 12:15–14:00

Room: Salle des Textiles

• Mobility patterns forecasting and anomaly detection

  Authors: Raquel Sánchez-Cauce, Oliva G. Cantú Ros, Ricardo Herranz (Nommon Solutions and Technologies)

• The (un)predictability of the earthquake-induced mobility

  Authors: Stijn van Hannen, Bilgeçağ Aydoğdu (Utrecht University), Semiha Nur Yağcıklı, Subhi Güneş (Turkcell Technology), Albert Ali Salah (Utrecht University)

• Modeling Urban Air Quality Using Taxis as Sensors

  Authors: Anastasios Noulas (The Alan Turing Institute), Yasin Acikmese (Firefly), Charles QC LI, Milan Y. Patel (University of California, Berkeley), Shazia’Ayn Babul (University of Oxford), Ronald C. Cohen (University of California, Berkeley), Renaud Lambiotte (University of Oxford), Marta C. González (University of California, Berkeley)

• Mixture models uncover polycentric urban structure from GPS mobility data

  Authors: Andrew Renninger (Centre for Advanced Spatial Analysis, University College London), Egor Kotov (Laboratory of Migration and Mobility, Max Planck Institute for Demographic Research), Carmen Cabrera (Geographic Data Science Lab, Liverpool University)

• Activity Space Segregation Through the Lens of Income Outliers in London

  Authors: Olena Holubowska, Anirudh Govind (Division of Geography and Tourism, Department of Earth and Environmental Sciences, KU Leuven, Belgium), Andrew Renninger (Centre for Advance Spatial Analysis, University College London, UK)

• Measuring and mapping patterns of space utilization for characterizing human mobility in epidemiological contexts using a novel digital data set

  Authors: Daniel Citron (NYU Grossman School of Medicine, NY, NY, USA), Shankar Iyer (Meta, Inc., Menlo Park, CA, USA), Daniel J Weiss (Telethon Kids Institute, Nedlands, WA, Australia), Robert C Reiner, David L Smith (U. of Washington, Institute of Health Metrics and Evaluation, Seattle, WA, USA)

• Decomposing International Migration Flows with Mobile Trace Data: Trends, Seasonality, and Shocks

  Authors: Wenlan Zhang, Douglas Leasure (University of Oxford)

• How People Navigate in Crowds Indoors: Evidence from Trajectories in UCL PEARL

  Authors: Guangsheng Dong, Younan Huang, Hanzhen Fang, Xianghui Zhang (SpaceTimeLab for Big Data Analytics, Department of Civil, Environmental and Geomatic Engineering, University College London, London, UK), Beky Stoddart (Person Environment Activity Research Laboratory, University College London, London, UK), Jessica In (The Bartlett School of Architecture, University College London, London, UK), George Profenza (Opificio, London, UK), Steve Mayo, Ralph Stokeld, Barbara Pizzileo, Shane Gill, Matthew Vile, Ben Paveley (Person Environment Activity Research Laboratory, University College London, London, UK), Isabelle Sjovall (Research institutes of Sweden, Sweden), Uemee Jung, Juliette Dupertuys, Emre Yavuz (Institute of Behavioural Neuroscience, Department of Experimental Psychology, Division of Psychology and Language Sciences, UCL, London, UK), Sam McElhinney (University for the Creative Arts, Canterbury, UK), Paul Webster (Ubisense Limited, Cambridge, UK), Stephen Law (Department of Geography, University College London, London, UK), Antonia Hamilton (Institute of Cognitive Neuroscience, University College London, London, UK), Nick Tyler (Person Environment Activity Research Laboratory, University College London, London, UK), Stephen Gage, Sean Hanna (The Bartlett School of Architecture, University College London, London, UK), Hugo Spiers (Institute of Behavioural Neuroscience, University College London, London, UK), Fiona Zisch (The Bartlett School of Architecture, University College London, London, UK), Tao Cheng* (SpaceTimeLab for Big Data Analytics, Department of Civil, Environmental and Geomatic Engineering, University College London, London, UK)

• Spatial Modeling of NOx Emissions from Vessel Trajectories Using AIS Data

  Authors: Jizhou Tang, Xiaowei Gao (Imperial College London), Xianghui Zhang (University of Liverpool), Tao Cheng (University College London)

• Robustness of Stop Detection in Sparse Location Datasets

  Authors: Francisco Jose Barreras, Thomas H. Li (University of Pennsylvania)

Session 5: Urban Accessibility and Transportation

Thu, Oct 9 · 14:00–15:45

• Towards Assessing Accessibility Resulting from Integrating Demand-Responsive and Conventional Public Transportation with Travel Time Uncertainty.

  Authors: OURAHOU Mohamed, ARALDO Andrea (Télécom SudParis, Institut Polytechnique de Paris), ZIGRAND Louis (PADAM Mobility), VIANA Aline Ccarneiro (INRIA)

• Beyond Proximity: Rethinking Urban Accessibility Through Human Mobility Patterns in United States.

  Authors: Saumitra Kulkarni (Network Science Institute, Northeastern University), Esteban Moro (Network Science Institute & Dept. of Physics, Northeastern University)

• Understanding Urban-Rural Disparities in Mobility Inefficiency for Colombia, Mexico, and India.

  Authors: Nandini Iyer (Northeastern University London), Massimiliano Luca (Fondazione Bruno Kessler), Riccardo Di Clemente (Northeastern University London)

• Potential route diversification in road networks.

  Authors: Giuliano Cornacchia (ISTI-CNR, Pisa), Luca Pappalardo (ISTI-CNR & Scuola Normale Superiore, Pisa), Mirco Nanni (ISTI-CNR, Pisa), Dino Pedreschi (University of Pisa, Pisa), Marta C. Gonzalez (Department of City and Regional Planning & Department of Civil and Environmental Engineering UC Berkeley)

• Urban semantic: understand dynamic land use through human mobility patterns.

  Authors: Nandini Iyer (Northeastern University London), Massimiliano Luca (Fondazione Bruno Kessler), Ollin Langle-Chimal, Marta C. González (University of California, Berkeley), Riccardo Di Clemente (Northeastern University London)

• Working behaviour and the spatial complexity of economic activity.

  Authors: Zsófia Zádor (Northeastern University London), Balázs Lengyel (ANETI Lab), Riccardo Di Clemente (Northeastern University London)

• Bias estimates for MPD-derived mobility statistics in low-and middle-income countries.

  Authors: Roland Hosner, Zachary Strain-Fajth, Veronique Lefebvre (Flowminder)

Session 6: Predictive Models and Trajectory Forecasting

Thu, Oct 9 · 16:15–18:00

• Predicting Vehicle Trajectories based on Latitude and Longitude Positioning Historical Data.

  Authors: Breno Krohling, Giovanni Comarela, Clayson Celes (Universidade Federal do Espírito Santo), Paulo F. Rettore (Fraunhofer FKIE), Vinícius F. S. Mota (Universidade Federal do Espírito Santo)

• Temporal Convolutional Network Forecasting of Tourism Demand Indicators Based on GPS Data: A Case Study in Japan.

  Authors: Ketian Chen, Jue Ma, Chenbo Zhao, Yoshihide Sekimoto (Center for Spatial Information Science, The University of Tokyo)

• Parameter-free robust stop-detection with HDBSCAN.

  Authors: Francisco Jose Barreras, Andres Mondragon (University of Pennsylvania)

• Tackling the Ambiguity of Stop Detection in Human Mobility Data: A Model-Agnostic Evaluation Framework.

  Authors: Kamil Smolak (Wrocław University of Environmental and Life Sciences), Katarzyna Sila-Nowicka (University of Auckland)

• TranSIM: A Transferable Spatial Interaction Modelling Framework to Inform Urban Policy Transfer.

  Authors: Adham Enaya, Chen Zhong, Michael Batty (UCL CASA)

• Characterizing User Exposure in Mobility Data: Insights from Varying User Behavioral Profiles.

  Authors: Lucas G. S. Felix (Universidade Federal de Minas Gerais/INRIA), Anne Josiane Kouam, Aline Carneiro Viana, Nadjib Achir (INRIA), Jussara M. Almeida (Universidade Federal de Minas Gerais)

• Understanding collective and individual phenomena in urban mobility using mobile phone datasets.

  Authors: Alberto Amaduzzi, Filippo Dalla, Dragos Dumitru Ioan, Gregorio Berselli (Dipartimento di Fisica e Astronomia, Università di Bologna, Italy), Davide Micheli, Aldo Vannelli (TIM S.p.A., Roma, Italy), Armando Bazzani (Dipartimento di Fisica e Astronomia, Università di Bologna, Italy)