mlsanityData to 14 Oct 2026

Future Directions in Human Mobility Science

arXiv 2408.00702 ↗First posted 1 Aug 2024physics.soc-ph cs.CYcited by 16

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Abstract (arXiv)

We provide a brief review of human mobility science and present three key areas where we expect to see substantial advancements. We start from the mind and discuss the need to better understand how spatial cognition shapes mobility patterns. We then move to societies and argue the importance of better understanding new forms of transportation. We conclude by discussing how algorithms shape mobility behaviour and provide useful tools for modellers. Finally, we discuss how progress in these research directions may help us address some of the challenges our society faces today.

Key facts. Cited by 16 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Aug 2024.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 10; 2026: 6.

16 papers.

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  1. 2025Into the Unknown: Applying Inductive Spatial-Semantic Location Embeddings for Predicting Individuals' Mobility Beyond Visited Placescited by 4
  2. 2025A Gravity-informed Spatiotemporal Transformer for Human Activity Intensity Predictioncited by 2
  3. 2025MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answeringcited by 1
  4. 2025Entropy-Driven Curriculum for Multi-Task Training in Human Mobility Predictioncited by 1
  5. 2025SeMob: Semantic Synthesis for Dynamic Urban Mobility Predictioncited by 1
  6. 2026UrbanFM: Scaling Urban Spatio-Temporal Foundation Modelscited by 1
  7. 2025The Urban Impact of AI: Modeling Feedback Loops in Next-Venue Recommendationcited by 0
  8. 2025ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputationcited by 0
  9. 2025Deep learning four decades of human migrationcited by 0
  10. 2025Data-Driven Discrete Geofence Design Using Binary Quadratic Programmingcited by 0
  11. 2025Deep Generative Model for Human Mobility Behaviorcited by 0
  12. 2026Detecting Transportation Mode Using Dense Smartphone GPS Trajectories and Transformer Modelscited by 0
4 more
  1. 2026Learning Demographic-Conditioned Mobility Trajectories with Aggregate Supervisioncited by 0
  2. 2026Quantifying geographic domain shift to decouple the geospatial transferability of human mobility flow generation modelscited by 0
  3. 2026Inferring Urban Mobility Interactions from Aggregated Dynamicscited by 0
  4. 2026LE4Mob: Towards Inductive, Distance-Aware and General-Purpose Location Embedding for Human Mobility Modellingcited by 0