Spatiotemporal Heterogeneity of AI-Driven Traffic Flow Patterns and Land Use Interaction: A GeoAI-Based Analysis of Multimodal Urban Mobility

arXiv:2603.05581 · cs.LG, cs.AI, eess.SP · Submitted 2026-03-05 · Read on arXiv

cs.LG, cs.AI, eess.SP

Submitted: 2026-03-05

Updated: 2026-09-06

Comments: The author has identified critical data alignment errors in the multimodal mobility trajectories and fundamental flaws in the spatial weight matrix specification (Sections 3 and 4) that invalidate the reported spatiotemporal interaction findings. The author is withdrawing the manuscript

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Core — 11× in this paper · explained in 2 episodes
• Transferability — 11× in this paper · explained in 4 episodes
• Clustering — 7× in this paper · explained in 2 episodes
• Land Use Mix Index — 7× in this paper
• Random Forest — 6× in this paper
• Accuracy — 5× in this paper · explained in 1 episode
• Benchmark — 5× in this paper · explained in 2 episodes
• Interpretability — 4× in this paper · explained in 15 episodes
• Explainability — 3× in this paper · explained in 3 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Feature Engineering — 2× in this paper · explained in 3 episodes
• GNNs — 2× in this paper · explained in 2 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• SHAP values — 2× in this paper · explained in 2 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Adjacency Matrix — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Explainable AI (XAI) — 1× in this paper · explained in 7 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Graph Neural Networks (GNNs) — 1× in this paper · explained in 7 episodes
• Homogeneity — 1× in this paper · explained in 2 episodes
• Hybrid Models — 1× in this paper · explained in 2 episodes
• Macroscopic Fundamental Diagram — 1× in this paper
• Multimodal Integration — 1× in this paper · explained in 2 episodes
• Multiscale Geographically Weighted Regression — 1× in this paper
• Non-stationarity — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• A Unified Approach to Interpreting Model Predictions

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