NetMob 2025 - Full program - (Book of Abstracts)
October 8–10, Paris, France
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Keynote 1
Mobility data for pandemic response.
Keynote Chair: Aline Carneiro Viana (Inria)
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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 · 10:30–12:15Session Chair: Marco Fiore (IMDEA Networks Institute)
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Use of mobile phone data to measure behavioral response to SMS evacuation alerts.
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Evaluating the Predictability of Disaster Evacuation Behavior using LLM Agents.
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Disruption and Adaptation of Social Connectedness at Third Places after Disaster Displacement.
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Targeting mobile money cash transfers for emergency relief using Call Detail Records in the Democratic Republic of the Congo (DRC).
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On the utility of Digital Contact Tracing on empirical contact network.
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Changes in social contact time following digital SARS-CoV-2 post-exposure notification: A retrospective case-control study at a US university.
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PRIMO-Scrap: towards automating the cartography of smartphone apps for mobility.
Poster Session 1: Wed, Oct 8 · 10:30–16:15
Room - Salle des TextilesSession Chair: Abdelmounaim Bouroudi (Inria) & Wellington Viana lobato junior (Inria)
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MC Identification and characterisation of traveller persona based on weekly urban mobility patterns
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MCModeling Base Station Metadata Geolocation
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MCCross-City Travel Mode Identification from Sparse Mobile Phone Data with Transformer Adapters
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MCEstimating traffic flows from vehicle trajectories based on sparse mobile phone geolocation data
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MCThe promise and pitfalls of mobile phone data for recreational fishing: Evaluating potential, biases, and representativeness
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MCModeling Mobility with Graph Neural Networks to Predict Neighbourhood Culture
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MCMapping Urban Mobility with Interest Networks: Cross-Platform and User Behavior Insights
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MCEvaluating Deep Learning for Transport Mode Detection on Crowdsourced Smartphone GPS Data
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MCEnhancing mobile network data with GPS and satellite imagery for accurate population detection
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DCPersona-Aware Mobility Management: Detecting Sustained Demand, Speed, and Coverage Shifts
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DCIdentifying First/Last Mile Deserts in the Paris Region Using Mobile GPS Data
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DCSegmenting Human Mobility Behavior Under Internet Quality Pressure in Paris
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DCBehavioral Segmentation of Older Adult Mobility in Metropolitan Areas Based on a High-Resolution GPS Data: A Case Study of Île-de-France
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DCBeyond Averages: Inequalities in Mobility-Based PM2.5 Exposure in Greater Paris
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DCDecoding Urban Interest: The Roles of Purpose, Transportation and Spatial Scale in City Mobility
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DCUrban Real Accessibility Evaluation Based on GPS Data: Integration of Multiple Accessibility Indicators and Deep Learning
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DCOptimizing ad-placement for socio-demographic segments using mobility data
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DCMeasuring Individual Exploration in Human Mobility: A Novel Metric Based on the Returner-Explorer Dichotomy
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DCThe city as experienced: measuring differences in contextual heterogeneity through mobility trajectories
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DCZero-Shot Transportation Mode Classification in Île-de-France: Generalizing the PromptRide-LLM Pipeline
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DCAn Optimization-Simulation Approach based Mobile Phone Data for a T-minutes city
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DCGendered mobility differences in the era of flexible work
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DCGeneration of Realistic and Geolocated Agendas in a Digital Twin using GPS-based Mobility Dataset
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DCDivided by design: how transport and amenities shape urban mobility and socioeconomic inequalities
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DCUnderstanding Urban Trips: Mode and Purpose Prediction Using GPS Traces and Socio-Demographic Features
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DCRevisiting Algorithms for Activity Type Estimation from GPS Data in Diverse Built Environments
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DCImproving Activity Classification Using Highly Detailed Demographic Profiles
Session 2: Mobility, Economy, and Governance
Wed, Oct 8 · 14:00–15:45Session Chair: Jussara Almeida (UFMG)
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Economic spillover effects of electric vehicle charging station placement on local businesses: a staggered adoption study.
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Understanding the Impacts of EV Charging Stations on Surrounding Businesses.
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Causal inference in the city: Improving Urban Policy Evaluation Through Mobility-Aware Methods.
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The Urban Impact of AI: Modeling Feedback Loops in Next-Venue Recommendation.
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Mobile Phone Data Sheds Light on the Localized Activity Patterns of Informal Workers.
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Revealing Hidden Parental Mobility Behaviors Through Large-scale GPS Data.
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Measuring Bias in CDR Mobility Indicators Arising from Multiple SIM Ownership.
Session 3: Urban Dynamics, Mobile Apps and Platforms
Wed, Oct 8 · 16:15–18:00Session Chair: Nadjib Achir (Inria)
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Maintaining Connectivity in Subterranean Emergency Response: A 5G and Wi-Fi Mesh Mobility Dataset.
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The Anatomy of Olympic Games: a Mobile Traffic Demand Perspective.
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Exploring urban event dynamics using mobile application measurements.
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Unequal Journeys to Food Markets: Continental-Scale Evidence from Open Data in Africa.
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An Urban Geography of Mobile Traffic Demands.
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Exploring the Digital Life of Urban Parks Through Mobile Traffic.
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Spatial heterogeneity in human mobility responses to London’s ultra-low emission zone expansion.
Keynote 2
Collecting and sharing human data with meaningful privacy protection.
Keynote Chair: Pedro Velloso (CNAM)
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Thu, Oct 9 · 09:00–10:00
- Mobile phone data has revolutionised our understanding of human mobility, social networks, and urban dynamics. However, the privacy protections we rely on when working with call detail records, location traces, and behavioural data may be far weaker than commonly assumed. In this talk, Luc Rocher will examine vulnerabilities in anonymisation techniques applied to large-scale datasets and discuss how to best use sensitive data. The talk will address critical questions for the mobile phone data research community: What makes some individuals more vulnerable than others to privacy attacks? How can we balance usability and reproducibility with genuine data protection?
Session 4: Mobility and Urban Inequality
Thu, Oct 9 · 10:30–12:15Session Chair: Anne Josiane Kouam (TU Berlin)
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The temporal dimension of experienced segregation in cities.
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Mobility behavior moderates residential partisan segregation in US metropolitan areas.
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Tracing Behavioural Changes of High Street Visitors in London Using Mobile Location Data.
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When Proximity Falls Short: Inequalities in Commuting and Accessibility in Santiago, Chile.
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Hybrid work has increased income segregation at third places in US cities.
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Beyond Distance: Mobility Neural Embeddings Reveal Visible and Invisible Barriers in Urban Space.
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Examining Temporal & Behavioral Bias in Mobility Data.
Poster Session 2 — Thu, Oct 9 · 12:15–14:00
Room: Salle des TextilesSession Chair: Abdelmounaim Bouroudi (Inria) & Wellington Viana lobato junior (Inria)
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MCMobility patterns forecasting and anomaly detection
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MCThe (un)predictability of the earthquake-induced mobility
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MCModeling Urban Air Quality Using Taxis as Sensors
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MCMixture models uncover polycentric urban structure from GPS mobility data
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MCActivity Space Segregation Through the Lens of Income Outliers in London
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MCMeasuring and mapping patterns of space utilization for characterizing human mobility in epidemiological contexts using a novel digital data set
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MCDecomposing International Migration Flows with Mobile Trace Data: Trends, Seasonality, and Shocks
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MCHow People Navigate in Crowds Indoors: Evidence from Trajectories in UCL PEARL
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MCSpatial Modeling of NOx Emissions from Vessel Trajectories Using AIS Data
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MCRobustness of Stop Detection in Sparse Location Datasets
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DCMULTI-MODAL MOBILITY FOR GENERATING ELECTRICITY: WALKING AS CASE-STUDY
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DCBeyond Willpower: Structural Constraints and Inequality in Mobility-Related CO₂ Emissions
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DCHigher-order Network Analysis of Human Mobility Data
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DCHow Daily Mobility Practices Reshape Greenspace Exposure Inequalities: Individual-level GPS Tracking Evidence from Greater Paris
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DCGraphing the Jam: GNSS-Powered Modeling and Forecasting of Urban Traffic Congestion
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DCOptimizing Store Location Based on Urban Accessibility, Travel Behavior, and Customer Experience Insights
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DCWhen Movement Reveals Poverty: Spatial Mobility as a Marker of Socioeconomic Exclusion
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DCEvaluating Socio-spatial Inequalities in Paris’s 15-Minute City Model Using Individual Mobility Data
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DCParis as a 15-Minute City: An Advanced Explainable AI Perspective
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DCThe privacy bounds of fine-grained human mobility
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DCDiscovering Functional Urban Zones via Heterogeneous Graph Convolution on High-Resolution Mobility Data
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DCGendered Mobility Patterns in Île-de-France: Insights from High-Resolution GNSS Traces
Session 5: Urban Accessibility and Transportation
Thu, Oct 9 · 14:00–15:45Session Chair: Wellington Viana (Inria)
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Towards Assessing Accessibility Resulting from Integrating Demand-Responsive and Conventional Public Transportation with Travel Time Uncertainty.
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Beyond Proximity: Rethinking Urban Accessibility Through Human Mobility Patterns in United States.
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Understanding Urban-Rural Disparities in Mobility Inefficiency for Colombia, Mexico, and India.
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Potential route diversification in road networks.
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Urban semantic: understand dynamic land use through human mobility patterns.
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Working behaviour and the spatial complexity of economic activity.
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Bias estimates for MPD-derived mobility statistics in low-and middle-income countries.
Session 6: Predictive Models and Trajectory Forecasting
Thu, Oct 9 · 16:15–18:00Session Chair: Daphné Tuncer (École des Ponts, Institut Polytechnique de Paris)
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Predicting Vehicle Trajectories based on Latitude and Longitude Positioning Historical Data.
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Temporal Convolutional Network Forecasting of Tourism Demand Indicators Based on GPS Data: A Case Study in Japan.
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Parameter-free robust stop-detection with HDBSCAN.
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Tackling the Ambiguity of Stop Detection in Human Mobility Data: A Model-Agnostic Evaluation Framework.
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TransGM: Transferable Gravity Models for Adaptive Urban Policy.
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Characterizing User Exposure in Mobility Data: Insights from Varying User Behavioral Profiles.
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Understanding collective and individual phenomena in urban mobility using mobile phone datasets.
Session 7 (Data Challenge):
Fri, Oct 10 · 08:30–10:15Session Chair: Razvan Stanica (INSA Lyon)
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Machine Learning-Based Netmob25 Mobility Model for Network Simulators.
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Distributional Impacts of the Parisian Low Emission Zone.
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Protecting participants or population? Comparison of k-anonymous Origin–Destination matrices.
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Day and Night in Paris: Vibrancy and Perceived Security Analysis from Mobility Data.
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Who Breathes More Smog? Modeling Individual PM2.5 Exposure and Inequality with GPS Mobility Data.
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Summarizing Trajectories to Uncover Mobility Behaviors and Urban Contexts.
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Impact of income-stratified mobility mixing and vaccination uptake on epidemic progression: a modeling approach on emerging pandemic flu.
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Mobility Under Pressure: Socioeconomic Inequities in Urban Travel Behavior During Urban Strikes.
Session 8 (Data Challenge):
Fri, Oct 10 · 10:45–12:15Session Chair: Alexandre Chasse (IFPEN)
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On the Relationship between Space-Time Accessibility and Leisure Activity Participation.
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Post-Disaster Route Reliability Assessment Using Drone-Aided Mobility Data from NetMob25.
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Persons with reduced mobility facing invisible obstacles: A contrastive analysis on mobility patterns and behaviours based on GNSS data.
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A Simulation Study on Equitable Mobility During City Emergencies, Focusing on Vulnerable Groups.
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Commuting Patterns Across Household Structures: An Empirical Analysis of Time and Mode Choices in Île-de-France.
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Integrating Temporal Context into User Profiling: A Preliminary Study Using Location Embeddings.
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On commuting duration and the daily travel time budget.