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Interpretable data-driven demand modelling for on-demand transit services
Integrating built environment and parking policy for car commuting reduction: evidence from Beijing
In-store shopping trip predictions and impact factors during COVID-19 emergencies
Inferring Trip Destination Purposes for Trip Records Collected through Smartphone Apps
Ineffective built environment interventions: How to reduce driving in American suburbs?
Imputing trip purposes for long-distance travel
Imputing trip purposes for long-distance travel
How the built environment affects E-scooter sharing link flows: A machine learning approach
Forecasting transportation demand for the U.S. market
Forecasting road traffic conditions using a context-based random forest algorithm
Forecasting container freight rates using the Prophet forecasting method
Flood Hazard Rating Prediction for Urban Areas Using Random Forest and LSTM