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Berna Çalışkan

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Jul 2026

A Spatio-Temporal Decision-Support Framework for Station-Level Rail Transit Ridership Forecasting Using XGBoost

An integrated prediction-and-visualisation pipeline that transforms complex data distributions into actionable visual analytics, such as interpretable station-to-station demand heatmaps via interactive GIS Folium layers is implemented, providing an operationally robust framework to support smart-city transportation management and build more sustainable urban transit systems.

Berna Çalışkan · 0 citations