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Semantic Trajectory Data Mining with LLM-Informed POI Classification
In our evaluation using the OpenStreetMap (OSM) POI dataset, our approach achieves a 93. 4% accuracy and a 96. 1% F-1 score in POI classification, and a 91. 7% accuracy with a 92. 3% F-1 score in activity inference.
Forecasting e-scooter substitution of direct and access trips by mode and distance
An e-scooter trip model is estimated from four U. S. cities: Portland, Austin, Chicago and New York City.
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