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Articles

GeoAI-Based Few-Shot Transfer Learning for Cross-City Pedestrian Level-of-Service Mapping Using Spatio-Temporal Graph Models

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By Atakilti Kiros, Jonathan Dortheimer, Noam Teshuva
| preprints.org
You are already at the latest version Urban planners need continuous, scalable methods to evaluate pedestrian Level of Service (LOS). Static and locally calibrated approaches fail to capture the dynamic, network-wide, and context-dependent nature of pedestrian activity. While traditional LOS uses fixed density thresholds and data-driven models predict continuous flows, neither supports cross-city analysis due to context-specific assumptions.
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GeoAI and Multimodal Geospatial Data Fusion for Inclusive Urban Mobility: Methods, Applications, and Future Directions

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By Yuri Ribakov, Achituv Cohen, Atakilti Kiros
| preprints.org
Submitted: 08 February 2026 You are already at the latest version Urban mobility is a central challenge for sustainable and inclusive cities, as climate change, congestion, and spatial inequality expose mobility patterns as expressions of deeper social and spatial structures. Inclusive urban mobility examines whether transport systems equitably support the everyday movements and accessibility needs of historically marginalized and underserved populations.
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